R-Index (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

R

r - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton: Corner rounding factor.
r2 - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle: Circumcircle parameters
RAD2DEG - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Constant for radians to degrees.
rad2deg(double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Radians to Degree.
radicalInverse(long) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution: Compute the radical inverse of i.
radius - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer: Number of neighbors to precompute.
radius - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries: Query radius.
RADIUS_DISTANCE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Margin between two rings
RADIUS_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer: Parameter that specifies the query radius to precompute.
RADIUS_INNER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Offset from center to first ring
RADIUS_OUTER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Radius of whole CircleSegments except selection border
RADIUS_SELECTION - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Radius of highlight selection (outer ring)
ralpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter.Parameterizer
ralpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter: The noise tolerance level for weak eigenvectors
randIndex() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting: Computes the Rand index (RI).
random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer: Random generator factory
random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm: Random generator factory
random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer: Random generator factory
random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm: Random generator factory
random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer: Random generator factory
random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex: Random generator factory
random - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch: random generator.
random - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Random generator (used for initializing random generators)
random - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.RandomSamplingStreamFilter: Random generator
random - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractHashFunctionFamily.Parameterizer: Random generator to use.
random - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractHashFunctionFamily: Random generator to use.
random - Variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer: Random generator.
random - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit: Random generator.
random(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Generate matrix with random elements
random - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.Parameterizer: Random generator.
random - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily: Random generator.
random(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Generate matrix with random elements
random - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution: For random number generation
random - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution: The random generator.
random - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: The random generator.
random - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution: The random generator.
random - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution: The random generator.
random - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution: The random generator.
random - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution: The random generator.
RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer: Parameter for the random generator
RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer: Parameter for the random generator
RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer: Parameter for the random generator.
RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer: Random seeding
RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractHashFunctionFamily.Parameterizer: Parameter for fixing the random seed.
RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer: Random generator.
RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit.Parameterizer: Option ID for the random generator.
RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.Parameterizer: Parameter for the random generator.
randomBitSet(int, int, Random) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Creates a new BitSet of fixed cardinality with randomly set bits.
randomDoubleArray(int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Produce an array of random numbers in [0:1].
randomDoubleArray(int, Random) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Produce an array of random numbers in [0:1].
RandomDoubleVectorDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource: Produce a database of random double vectors with each dimension in [0:1].
RandomDoubleVectorDatabaseConnection(int, int, RandomFactory, List<ObjectFilter>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection: Constructor.
RandomDoubleVectorDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource: Parameterization class.
RandomDoubleVectorDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer
RandomFactory - Class in de.lmu.ifi.dbs.elki.utilities: RandomFactory is responsible for creating Random generator objects.
RandomFactory(Long) - Constructor for class de.lmu.ifi.dbs.elki.utilities.RandomFactory: Constructor.
RandomGeneratedReferencePoints<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints: Reference points generated randomly within the used data space.
RandomGeneratedReferencePoints(int, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints: Constructor.
RandomGeneratedReferencePoints.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints: Parameterization class.
RandomGeneratedReferencePoints.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints.Parameterizer
RandomlyChosenInitialMeans<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans: Initialize K-means by randomly choosing k exsiting elements as cluster centers.
RandomlyChosenInitialMeans(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyChosenInitialMeans: Constructor.
RandomlyChosenInitialMeans.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans: Parameterization class.
RandomlyChosenInitialMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyChosenInitialMeans.Parameterizer
RandomlyGeneratedInitialMeans<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans: Initialize k-means by generating random vectors (within the data sets value range).
RandomlyGeneratedInitialMeans(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyGeneratedInitialMeans: Constructor.
RandomlyGeneratedInitialMeans.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans: Parameterization class.
RandomlyGeneratedInitialMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyGeneratedInitialMeans.Parameterizer
randomNormalizedVector(int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Returns a randomly created vector of length 1.0.
randomNormalizedVector(int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Returns a randomly created vector of length 1.0
RandomParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter for random generators and/or random seeds.
RandomParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter: Constructor without default.
RandomParameter(OptionID, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter: Constructor with default value.
RandomParameter(OptionID, long) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter: Constructor with default seed value.
RandomProjection<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.data.projection: Randomized projections of the data.
RandomProjection(int, RandomProjectionFamily) - Constructor for class de.lmu.ifi.dbs.elki.data.projection.RandomProjection: Constructor.
RandomProjection.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.projection: Parameterization class.
RandomProjection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.RandomProjection.Parameterizer
RandomProjectionFamily - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections: Interface for random projection families.
randoms1 - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction: Random numbers for mixing the hash codes of the individual functions
randomSample - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer: Flag to enable random sampling
randomsample - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: Flag for random sampling vs. kNN
randomSample(DBIDs, int, RandomFactory) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
randomSample(DBIDs, int, int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
randomSample(DBIDs, int, Long) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
randomSample(DBIDs, int, Random) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
RandomSampleKNNPreprocessor<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: Class that computed the kNN only on a random sample.
RandomSampleKNNPreprocessor(Relation<O>, DistanceFunction<? super O, D>, int, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor: Constructor.
RandomSampleKNNPreprocessor.Factory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: The parameterizable factory.
RandomSampleKNNPreprocessor.Factory(int, DistanceFunction<? super O, D>, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory: Constructor.
RandomSampleKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: Parameterization class
RandomSampleKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory.Parameterizer
RandomSampleReferencePoints<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints: Random-Sampling strategy for picking reference points.
RandomSampleReferencePoints(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints: Constructor.
RandomSampleReferencePoints.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints: Parameterization class.
RandomSampleReferencePoints.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints.Parameterizer
RandomSamplingStreamFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter: Subsampling stream filter.
RandomSamplingStreamFilter(double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.RandomSamplingStreamFilter: Constructor.
RandomSamplingStreamFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter: Parameterization class
RandomSamplingStreamFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.RandomSamplingStreamFilter.Parameterizer
RANDOMSEED_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Parameter to give the configuration file
randomShuffle(ArrayModifiableDBIDs, RandomFactory) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Produce a random shuffling of the given DBID array.
randomShuffle(ArrayModifiableDBIDs, Random) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Produce a random shuffling of the given DBID array.
randomShuffle(ArrayModifiableDBIDs, Random, int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Produce a random shuffling of the given DBID array.
RandomSplit<O,D extends NumberDistance<D,?>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split: Encapsulates the required methods for a split of a node in an M-Tree.
RandomSplit(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit: Creates a new split object.
RandomSplit.Parameterizer<O,D extends NumberDistance<D,?>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split: Parameterization class.
RandomSplit.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit.Parameterizer
RandomStableDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: This is a dummy distance providing random values (obviously not metrical), useful mostly for unit tests and baseline evaluations: obviously this distance provides no benefit whatsoever.
RandomStableDistanceFunction(long) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction: Constructor.
RandomStableDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Parameterization class.
RandomStableDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction.Parameterizer
randomSubspace(int, int, int, Random) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging: Choose a random subspace.
randomVector(NumberVector.Factory<V, ?>, int, Random) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil: Produce a new vector based on random numbers in [0:1].
randomVector(NumberVector.Factory<V, ?>, int) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil: Produce a new vector based on random numbers in [0:1].
range - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering.Parameterizer: Kernel radius.
range - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering: Range of the kernel.
RANGE_CACHE_MAGIC - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries: Magic number to identify files.
RANGE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering.Parameterizer: Parameter for kernel radius/range/bandwidth.
RangeIndex<O> - Interface in de.lmu.ifi.dbs.elki.index: Index with support for kNN queries.
rangeQueries - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics: For counting the number of range queries answered.
rangeQueries - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics: For counting the number of range queries answered.
RangeQuery<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.database.query.range: The interface for range queries
rangeQuery - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.RangeQueryFilteredPCAIndex: The kNN query instance we use.
RangeQueryBenchmarkAlgorithm<O extends NumberVector<?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.benchmark: Benchmarking algorithm that computes a range query for each point.
RangeQueryBenchmarkAlgorithm(DistanceFunction<? super O, D>, DatabaseConnection, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm: Constructor.
RangeQueryBenchmarkAlgorithm.Parameterizer<O extends NumberVector<?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.benchmark: Parameterization class
RangeQueryBenchmarkAlgorithm.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer
rangeQueryDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory.Parameterizer: The distance function for the variance analysis.
rangeQueryDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory: The distance function for the variance analysis.
rangeQueryDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex: The distance function for the variance analysis.
RangeQueryFilteredPCAIndex<NV extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca: Provides the local neighborhood to be considered in the PCA as the neighbors within an epsilon range query of an object.
RangeQueryFilteredPCAIndex(Relation<NV>, PCAFilteredRunner<NV>, RangeQuery<NV, DoubleDistance>, DoubleDistance) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.RangeQueryFilteredPCAIndex: Constructor.
RangeQueryFilteredPCAIndex.Factory<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca: Factory class.
RangeQueryFilteredPCAIndex.Factory(DistanceFunction<V, DoubleDistance>, PCAFilteredRunner<V>, DoubleDistance) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.RangeQueryFilteredPCAIndex.Factory: Constructor.
RangeQueryFilteredPCAIndex.Factory.Parameterizer<NV extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca: Parameterization class.
RangeQueryFilteredPCAIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.RangeQueryFilteredPCAIndex.Factory.Parameterizer
ranges - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch: Database ranges.
ranges - Variable in class de.lmu.ifi.dbs.elki.result.RangeSelection: Selection range
RangeSelection - Class in de.lmu.ifi.dbs.elki.result: Class representing selected Database-IDs and/or a selection range.
RangeSelection(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.result.RangeSelection: Constructor.
RangeSelection(DBIDs, DoubleDoublePair[]) - Constructor for class de.lmu.ifi.dbs.elki.result.RangeSelection: Constructor.
rangestart - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory: The starting point for static DBID range allocations.
rank - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: The rank of the coefficient matrix.
rank() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Matrix rank
rank() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition: Effective numerical matrix rank
RankingPseudoOutlierScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: This is a pseudo outlier scoring obtained by only considering the ranks of the objects.
RankingPseudoOutlierScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.RankingPseudoOutlierScaling
RankingQualityHistogram<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics: Evaluate a distance function with respect to kNN queries.
RankingQualityHistogram(DistanceFunction<? super O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram: Constructor.
RankingQualityHistogram.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics: Parameterization class.
RankingQualityHistogram.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram.Parameterizer
RankTieNormalization - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization: Normalize vectors according to their rank in the attributes.
RankTieNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.RankTieNormalization: Constructor.
RANSACCovarianceMatrixBuilder<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: RANSAC based approach to a more robust covariance matrix computation.
RANSACCovarianceMatrixBuilder(int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder: Constructor.
RANSACCovarianceMatrixBuilder.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class
RANSACCovarianceMatrixBuilder.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer
rate - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution: Rate, inverse of mean
ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations.Parameterizer: Ratio for canvas
ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations: Ratio for canvas
ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: Ratio of this view.
ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Screen ratio
ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Target height/width ratio
ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel: Ratio for easier size adjustment
RATIO_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations: Parameter to specify the canvas ratio Key: -vis.ratio Default value: 1.33
RationalNumber - Class in de.lmu.ifi.dbs.elki.data: RationalNumber represents rational numbers in arbitrary precision.
RationalNumber(BigInteger, BigInteger) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber: Constructs a RationalNumber for a given numerator and denominator.
RationalNumber(long, long) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber: Constructs a RationalNumber for a given numerator and denominator.
RationalNumber(Double) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber: Constructs a RationalNumber out of the given double number.
RationalNumber(double) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber: Constructs a RationalNumber out of the given double number.
RationalNumber(String) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber: Constructs a RationalNumber for a given String representing a double.
rawdist - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.DoubleOptimizedKNNQuery: Raw distance function.
rawdist - Variable in class de.lmu.ifi.dbs.elki.database.query.range.DoubleOptimizedRangeQuery: Raw distance function.
rawLogProbability(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution: Poisson distribution probability, but also for non-integer arguments.
rawProbability(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution: Poisson distribution probability, but also for non-integer arguments.
rawQuantile(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution: Raw quantile function
Rdiag - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition: Array for internal storage of diagonal of R.
reachability - Variable in class de.lmu.ifi.dbs.elki.result.optics.DoubleDistanceClusterOrderEntry: The reachability of the entry.
reachability - Variable in class de.lmu.ifi.dbs.elki.result.optics.GenericClusterOrderEntry: The reachability of the entry.
REACHABILITY_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.Parameterizer: The distance function to determine the reachability distance between database objects.
REACHABILITY_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP: The distance function to determine the reachability distance between database objects.
reachabilityDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.Parameterizer: Reachability distance function.
reachabilityDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF: Reachability distance function.
reachabilityDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP.Parameterizer: Preprocessor Step 1.
reachabilityDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP: Preprocessor Step 1.
read(BufferedReader) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Read a matrix from a stream.
read() - Method in class de.lmu.ifi.dbs.elki.persistent.ByteBufferInputStream
read(byte[], int, int) - Method in class de.lmu.ifi.dbs.elki.persistent.ByteBufferInputStream
readAccess - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFile: The read I/O-Access of this file.
readDouble(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read a double from the byte array at the given offset.
readEmptyPages(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: Read the empty pages from the end of file.
reader - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Buffer reader.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox: The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance: Reads the bit value of this BitDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.CorrelationDistance: Reads the correlation value and the euclidean value of this CorrelationDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance: Reads the double value of this DoubleDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance: Reads the float value of this FloatDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance: Reads the integer value of this IntegerDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance: Calls CorrelationDistance.readExternal(java.io.ObjectInput) and reads additionally the dimensionality and each Byte of the common preference vector from the specified stream..
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.SubspaceDistance: Reads the subspace distance value and the affine distance value of this SubspaceDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry: Restores the id of the object (node or data object) that is represented by this entry from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry: Restores the id of the object (node or data object) that is represented by this entry from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Reads the id of this node, the numEntries and the entries array from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry: Calls the super method and reads the the polynomial approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry: Calls the super method and reads the the polynomial approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation: The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine: The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry: Calls the super method and reads the the conservative approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: Calls the super method and reads the the conservative and progressive approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry: Calls the super method and reads the knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry: Calls the super method and reads the knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry: Calls the super method and reads the parameter k_max and knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry: Calls the super method and reads the parameter k_max and knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Calls the super method and reads the routingObjectID, the parentDistance and the coveringRadius of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: Calls the super method and reads the parentDistance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode: Reads the id of this node, the numEntries and the entries array from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry: Calls the super method and reads the MBR object of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry: Calls the super method and reads the values of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage: The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readFloat(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read a float from the byte array at the given offset.
readHeader(BufferedReader) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser: Read the dataset header part of the ARFF file, to ensure consistency.
readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader: Initializes this header from the specified file.
readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: Initializes this header from the specified file.
readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: Initializes this header from the specified file.
readHeader(byte[]) - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: Initializes this header from the given Byte array.
readHeader(RandomAccessFile) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader: Initializes this header from the specified file.
readHeader(byte[]) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader: Initializes this header from the specified file.
readInt(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read an integer from the byte array at the given offset.
readLong(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read a long from the byte array at the given offset.
readMeta() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader: Read the metadata.
readObject() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader: Read an object.
readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache: Retrieves a page from the cache.
readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile
readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: Reads the page with the given id from this file.
readPage(int) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFile: Reads the page with the given id from this file.
readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: Reads the page with the given id from this file.
readShort(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read a short from the byte array at the given offset.
readSignedVarint(ByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read a signed integer.
readSignedVarintLong(ByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read a signed long.
readString(ByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read a string from the buffer.
readUnsignedShort(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read an unsigned short from the byte array at the given offset.
readUnsignedVarint(ByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read an unsigned integer.
readUnsignedVarintLong(ByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Read an unsigned long.
rearrange(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection: Method to rearrange components
rearrange(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
rearrange(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
recalcAxisPositions() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization: Recalculate axis positions, in particular after projection changes.
recalcViewbox() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Recompute the view box of the plot.
recall() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed: Get the BCubed Recall (first clustering) (normalized, 0 = unequal)
recall() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting: Computes the pair-counting recall.
recDrawEdges(SVGPath, double[], List<double[]>, int, BitSet) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube: Recursive helper for hypercube drawing.
recDrawSides(SVGPlot, Element, String, double[], List<double[]>, int, BitSet) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube: Recursive helper for hypercube drawing.
recombineOptimized(AggarwalYuEvolutionary.Individuum, AggarwalYuEvolutionary.Individuum) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch: Recombination method.
recomputeLOFs(DBIDs, FlexibleLOF.LOFResult<O, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.OnlineLOF.LOFKNNListener: Recomputes the lofs of the specified ids.
reconfigureLogging(String, String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Reconfigure logging.
recordsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Size of the records in the file.
RecordStore - Interface in de.lmu.ifi.dbs.elki.database.datastore: Represents a storage which stores multiple values per object in a record fashion.
RectangleArranger<T> - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview: This is a rather naive rectangle arrangement class.
RectangleArranger(double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Constructor.
RectangleArranger(double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Constructor.
recursiveBuildMenu(JMenu, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
recursiveLogResult(StringBuilder, Hierarchy<Result>, Result, int) - Method in class de.lmu.ifi.dbs.elki.result.LogResultStructureResultHandler: Recursively walk through the result tree.
recursivelyFill(List<List<? extends Cluster<?>>>) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments
recursivelyFill(List<List<? extends Cluster<?>>>, int, SetDBIDs, SetDBIDs, int[], boolean) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization: Perform a full redraw.
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.StaticVisualizationInstance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization: Perform a full redraw.
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance
redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance
redrawSelection() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
reducedRowEchelonForm - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Indicates if linear equation system is in reduced row echelon form.
reducedRowEchelonForm(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Brings this linear equation system into reduced row echelon form with choice of pivot method.
Reference - Annotation Type in de.lmu.ifi.dbs.elki.utilities.documentation: Annotation to specify a reference.
REFERENCE_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering: Parameter to obtain the reference clustering.
REFERENCE_POINTS - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Reference points color and size
referencealg - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.Parameterizer
referencealg - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering: Reference algorithm.
ReferenceBasedOutlierDetection<V extends NumberVector<?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier: provides the Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.
ReferenceBasedOutlierDetection(int, DistanceFunction<V, D>, ReferencePointsHeuristic<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection: Constructor with parameters.
ReferenceBasedOutlierDetection.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier: Parameterization class.
ReferenceBasedOutlierDetection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection.Parameterizer
referenceDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF: Neighborhood distance function.
ReferencePointsHeuristic<O> - Interface in de.lmu.ifi.dbs.elki.utilities.referencepoints: Simple Interface for an heuristic to pick reference points.
ReferencePointsResult<O> - Class in de.lmu.ifi.dbs.elki.result: Result used in passing the reference points to the visualizers.
ReferencePointsResult(String, String, Collection<O>) - Constructor for class de.lmu.ifi.dbs.elki.result.ReferencePointsResult: Constructor with collection only.
ReferencePointsResult(String, String, Collection<O>, Collection<String>) - Constructor for class de.lmu.ifi.dbs.elki.result.ReferencePointsResult: Full constructor.
ReferencePointsVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot: The actual visualization instance, for a single projection
ReferencePointsVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization: Constructor, adhering to Parameterizable
ReferencePointsVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot: Instance.
ReferencePointsVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance: Constructor.
refine(DBID, O) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractKNNQuery: Refinement distance computation.
refine(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractRangeQuery: Refinement distance computation.
refine(DBID) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex: Refine a given object (and count the refinement!).
refine_truth - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment: Variant, where the truth vector is also updated.
REFINED_MINMAX_ESTIMATION - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution: Slightly more refined estimator: takes sample size into account.
refinements - Variable in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex: Refinement counter.
refinements - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex: Count the number of distance refinements computed.
refinements - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
refineRange(DistanceDBIDList<DoubleDistance>, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES: Refine a range query.
refineResult(Relation<V>, List<? extends NumberVector<?>>, List<ModifiableDBIDs>, WritableDataStore<SameSizeKMeansAlgorithm<V>.Meta>, ArrayModifiableDBIDs) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm: Perform k-means style iterations to improve the clustering result.
refp - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection.Parameterizer: Stores the reference point strategy
refp - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection: Stores the reference point strategy
REFP_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection: Parameter for the reference points heuristic.
REFPOINT - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance: Generic tag to indicate the type of element.
refresh() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Do a refresh (when visibilities have changed).
refreshThumbnail() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
registerChild(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters
registerImage(RenderedImage) - Static method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry: Put an image into the repository (note: the repository is only keeping a weak reference!)
regularizedGammaP(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: Returns the regularized gamma function P(a, x).
regularizedGammaQ(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
regularizedIncBeta(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution: Computes the regularized incomplete beta function I_x(a, b) which is also the CDF of the beta distribution.
regularizedIncBetaCF(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution: Returns the regularized incomplete beta function I_x(a, b) Includes the continued fraction way of computing, based on the book "Numerical Recipes".
regularizedIncBetaQuadrature(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution: Returns the regularized incomplete beta function I_x(a, b) by quadrature, based on the book "Numerical Recipes".
reinitialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment
reinitialize() - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.OverflowTreatment: Reinitialize the reinsertion treatment (for a new primary insertion).
reinitialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment
reinitialize() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Refresh the overview plot.
reinitOnRefresh - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Reinitialize on refresh
reInsert(N, IndexTreePath<E>, int[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Reinserts the specified node at the specified level.
REINSERT_AMOUNT_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Parameterizer: Reinsertion share
REINSERT_DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Parameterizer: Reinsertion share
REINSERT_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Parameterizer: Fast-insertion parameter.
reinsertAmount - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Parameterizer: The actual reinsertion strategy
reinsertAmount - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert: Amount of entries to reinsert
reinsertExpanded(SpatialPrimitiveDistanceFunction<NV, D>, DeLiCluTree, List<TreeIndexPathComponent<DeLiCluEntry>>, DataStore<KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu: Reinserts the objects of the already expanded nodes.
reinsertExpanded(SpatialPrimitiveDistanceFunction<NV, D>, DeLiCluTree, List<TreeIndexPathComponent<DeLiCluEntry>>, int, SpatialDirectoryEntry, DataStore<KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu
reinsertions - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment: Bitset to keep track of levels a reinsert has been performed at.
reinsertStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Parameterizer: The actual reinsertion strategy
reinsertStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment: Strategy for the actual reinsertions
ReinsertStrategy - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert: Reinsertion strategy to resolve overflows in the RStarTree.
rel - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramProjector: Relation we project.
rel - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.ParallelPlotProjector: Relation we project.
rel - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector: Relation we project.
rel - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization: The representation we visualize
relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures: Relation indexed
relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree: Relation indexed.
relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.KernelDensityEstimator: Relation to retrieve data from
relation - Variable in class de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery: The data to use for this query
Relation<O> - Interface in de.lmu.ifi.dbs.elki.database.relation: An object representation from a database
relation - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: The database
relation - Variable in class de.lmu.ifi.dbs.elki.index.AbstractIndex: The representation we are bound to.
relation - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex: The relation we predend to index.
relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex: The relation indexed
relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex: Relation indexed
relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex: Relation indexed.
relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex: The relation indexed.
relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex: The relation indexed.
relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: The relation we index.
relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Relation
relation - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: The main representation
relation - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance: The database we visualize
relation - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization: The representation we visualize
relations - Variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase: The relations we manage.
relationUglyVectorCast(Relation<T>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: An ugly vector type cast unavoidable in some situations due to Generics.
RelationUtil - Class in de.lmu.ifi.dbs.elki.database.relation: Utility functions for handling database relation.
RelationUtil() - Constructor for class de.lmu.ifi.dbs.elki.database.relation.RelationUtil: Fake constructor: do not instantiate.
relativeCubicTo(double, double, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Cubic Bezier line to the given relative coordinates.
relativeCubicTo(double[], double[], double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Cubic Bezier line to the given relative coordinates.
relativeCubicTo(Vector, Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Cubic Bezier line to the given relative coordinates.
RelativeEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: The RelativeEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs who are a certain factor above the average of the remaining eigenvalues.
RelativeEigenPairFilter(double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter: Constructor.
RelativeEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class.
RelativeEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter.Parameterizer
relativeEllipticalArc(double, double, double, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Elliptical arc curve to the given relative coordinates.
relativeEllipticalArc(double, double, double, double, double, double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Elliptical arc curve to the given relative coordinates.
relativeEllipticalArc(Vector, double, double, double, Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Elliptical arc curve to the given relative coordinates.
relativeFill() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Compute the relative fill.
relativeHorizontalLineTo(double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Draw a horizontal line to the given relative x coordinate.
relativeLineTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Draw a line to the given relative coordinates.
relativeLineTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Draw a line to the given relative coordinates.
relativeLineTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Draw a line to the given relative coordinates.
relativeMinFill - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings: Relative minimum fill.
relativeMoveTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Move to the given relative coordinates.
relativeMoveTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Move to the given relative coordinates.
relativeMoveTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Move to the given relative coordinates.
relativeOverlap(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil: Computes the volume of the overlapping box between two SpatialComparables and return the relation between the volume of the overlapping box and the volume of both SpatialComparable.
relativeQuadTo(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Quadratic Bezier line to the given relative coordinates.
relativeQuadTo(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Quadratic Bezier line to the given relative coordinates.
relativeQuadTo(Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Quadratic Bezier line to the given relative coordinates.
relativeSmoothCubicTo(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Smooth Cubic Bezier line to the given relative coordinates.
relativeSmoothCubicTo(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Smooth Cubic Bezier line to the given relative coordinates.
relativeSmoothCubicTo(Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Smooth Cubic Bezier line to the given relative coordinates.
relativeSmoothQuadTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Smooth quadratic Bezier line to the given relative coordinates.
relativeSmoothQuadTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Smooth quadratic Bezier line to the given relative coordinates.
relativeSmoothQuadTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Smooth quadratic Bezier line to the given relative coordinates.
relativeVerticalLineTo(double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Draw a vertical line to the given relative y coordinate.
relevantSubspace(BitSet, DoubleDistanceDBIDList, OUTRES<V>.KernelDensityEstimator) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES: Subspace relevance test.
REMAINING_OPTIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters: OptionID for unrecognized options.
remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore
remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore
remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore
remove(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableRecordStore: Remove an object from the store, all columns.
remove(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs: Remove the i'th entry (starting at 0)
remove() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDMIter: Remove the object the iterator currently points to.
remove() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
remove() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DBIDIterAdapter
remove() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
remove(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
remove() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveArrayDBIDs.DBIDItr
remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveArrayModifiableDBIDs
remove(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveArrayModifiableDBIDs
remove() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.DBIDItr
remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
remove(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs: Remove a single DBID from the collection.
remove(String) - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile: Remove a given key from the file.
remove(Result, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.RelationObjectIterator
remove(O, O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
remove(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
remove(O, O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.ModifiableHierarchy: Remove a parent-child relationship.
remove(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.ModifiableHierarchy: Remove an entry and all its parent-child relationships.
remove() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.MIter: Remove the object the iterator currently points to.
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeIterator: Removal: unsupported operation.
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator: Removal: unsupported operation.
remove(PlotItem, VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.LayerMap: Remove a combination.
remove() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr
removeAt(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: Remove the element at the given position.
removeAt(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
removeChangeListener(ChangeListener) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator
removeChangeListener(ChangeListener) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel
removeChangeListener(ChangeListener) - Method in interface de.lmu.ifi.dbs.elki.gui.configurator.ParameterConfigurator
removeCheckBoxListener(ChangeListener) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox: Remove a listener for this checkbox.
removeChild(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec: Remove a child.
removeClass(CSSClass) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager: Remove a single CSS class from the map.
removeCompleted() - Method in class de.lmu.ifi.dbs.elki.logging.progress.ProgressTracker: Remove completed progresses.
RemoveCSSClass - Class in de.lmu.ifi.dbs.elki.visualization.batikutil: Remove a CSS class to the event target.
RemoveCSSClass(String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.RemoveCSSClass: Constructor
removeCSSClass(Element, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Remove a CSS class from an Element.
removeDataStoreListener(DataStoreListener) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
removeDataStoreListener(DataStoreListener) - Method in interface de.lmu.ifi.dbs.elki.database.Database: Removes a listener previously added with Database.addDataStoreListener(DataStoreListener).
removeDataStoreListener(DataStoreListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext: Removes a listener previously added with addDataStoreListener.
removeDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
removeDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveArrayModifiableDBIDs
removeDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
removeDBIDs(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs: Remove DBIDs from collection.
removeFromParent(Element) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Remove an element from its parent, if defined.
removeIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Removes the specified ids from this interval.
removeIndex(Index) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
removeIndex(Index) - Method in interface de.lmu.ifi.dbs.elki.database.Database: Remove a particular index
removeKNNListener(KNNListener) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor: Removes a KNNListener previously added with MaterializeKNNPreprocessor.addKNNListener(de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNListener) .
removeLastChild(Element) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Remove last child of an element, when present
removeListener(DataStoreListener) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Removes a DataStoreListener previously added with DatabaseEventManager.addListener(DataStoreListener).
removeListener(ResultListener) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Removes a ResultListener previously added with DatabaseEventManager.addListener(ResultListener).
removeMask(BitSet) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Remove entries according to the given mask.
removeObject(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap: Remove the given object from the queue.
removePanelListener(ParameterTabPanel) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel
removeParent(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec: Remove a parent.
removeProgressBar(Progress, JProgressBar) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel: Remove a progress bar
removeProgressBar(JProgressBar) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel: Remove a new progress bar.
removeRecursive(ResultHierarchy, Result) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil: Recursively remove a result and its children.
removeResultListener(ResultListener) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy: Remove a result listener.
removeResultListener(ResultListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext: Remove a result listener.
removeSeparator() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer: Remove a separator character if present
removeStatement(String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Remove a CSS statement.
removeSubtree(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
removeSubtree(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.ModifiableHierarchy: Remove an entry and it's whole subtree (unless the elements are reachable by a different path!)
render(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton: Produce the actual SVG elements for the button.
renderCheckBox(SVGPlot, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox: Render the SVG checkbox to a plot
renderImage() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
reorderAxesTransformation(int, int[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation: Generate a transformation that reorders axes in the given way.
rep - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance: The representation we visualize
replaceDefaultHandler(Handler) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Replace the default log handler with the given log handler.
replaceEdge(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle: Replace an edge
replaceTopElement(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
replaceTopElement(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
replaceTopElement(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
replaceTopElement(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
replaceTopElement(double) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(double, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
replaceTopElement(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
replaceTopElement(double, long) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
replaceTopElement(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
replaceTopElement(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
replaceTopElement(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
replaceTopElement(double, V) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(double, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
replaceTopElement(double, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
replaceTopElement(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
replaceTopElement(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
replaceTopElement(int, V) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(int, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
replaceTopElement(int, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
replaceTopElement(K) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap
replaceTopElement(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
replot() - Method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: Trigger a redraw of the OPTICS plot
reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization
reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization
reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
reportError(ParameterException) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization: Report a configuration error.
reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters
reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization
reportErrors(SerializedParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Report errors in a single error log record.
reportErrors(Parameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel: Report errors in a single error log record.
reportInternalParameterizationErrors(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization: Report the internal parameterization errors to another parameterization
requiredInputPattern() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.AbstractDistance
requiredInputPattern() - Method in interface de.lmu.ifi.dbs.elki.distance.distancevalue.Distance: Returns a String as description of the required input format.
res - Variable in class de.lmu.ifi.dbs.elki.math.scales.LinearScale: Scale resolution
RESCALE - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity: Scaling factor.
rescale(double, double) - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve: Rescale the graph.
RescaleMetaOutlierAlgorithm - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta: Scale another outlier score using the given scaling function.
RescaleMetaOutlierAlgorithm(Algorithm, ScalingFunction) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm: Constructor.
RescaleMetaOutlierAlgorithm.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta: Parameterization class
RescaleMetaOutlierAlgorithm.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm.Parameterizer
reset() - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax: Reset statistics.
reset() - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax: Reset statistics.
reset() - Method in class de.lmu.ifi.dbs.elki.math.Mean: Reset the value.
reset() - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance
reset() - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax
reset() - Method in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation: Reset the value.
reset() - Method in class de.lmu.ifi.dbs.elki.math.StatisticalMoments
resetSizeButton - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
resize(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: Test whether we need to resize to have the requested capacity.
resize(double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger
resizeFile(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Resize file to the intended size
resizeMatrix(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix: Resize the matrix to cover newsize x newsize.
resolution - Variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer: Horizontal resolution.
resolution - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance: Density map resolution
RESOLUTION_ID - Static variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer: Image resolution.
restore(O) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseErfNormalization
restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseMinMaxNormalization
restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization
restore(int, double) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization: Restore a single dimension.
restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.InverseDocumentFrequencyNormalization
restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.LengthNormalization
restore(O) - Method in interface de.lmu.ifi.dbs.elki.datasource.filter.normalization.Normalization: Transforms a feature vector to the original attribute ranges.
Restricted - Annotation Type in de.lmu.ifi.dbs.elki.utilities.documentation: Indicator that the given class has distibution restrictions such as associated patents, and therefore must not be included in the release.
restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter: The restriction class for the list of class names.
restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter: The restriction class for this class parameter.
restrictions - Variable in class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation: The wrapped type restrictions
restrictions - Variable in class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation: The wrapped type restrictions
restrictionString() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter: Provides a description string listing all classes for the given superclass or interface as specified in the properties.
restrictionString() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter: Provides a description string listing all classes for the given superclass or interface as specified in the properties.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: Holds the result;
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult: The result of the run of the FlexibleLOF algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer: The result tree we serve.
result - Variable in class de.lmu.ifi.dbs.elki.KDDTask: The result object.
Result - Interface in de.lmu.ifi.dbs.elki.result: Interface for arbitrary result objects.
result - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow: Result to visualize
result - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: The result we are attached to
result - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext: The full result object
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance: The result we visualize
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance: The outlier result to visualize
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance: The outlier result to visualize
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance: Serves reference points.
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance: The selection result we work on
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance: Number value to visualize
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance: Number value to visualize
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance: The actual pixmap result.
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance: The actual pixmap result.
result - Variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep: The algorithm output
result - Variable in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep: The result we last processed.
RESULT_HANDLER_ID - Static variable in class de.lmu.ifi.dbs.elki.workflow.OutputStep.Parameterizer: Parameter to specify the result handler classes.
ResultAdapter - Interface in de.lmu.ifi.dbs.elki.result: Marker interface for trivial "adapter" type of results.
resultAdded(Result, Result) - Method in interface de.lmu.ifi.dbs.elki.result.ResultListener: A new derived result was added.
resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization.Instance
resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy: Signal that a result has changed (public API)
resultChanged(Result) - Method in interface de.lmu.ifi.dbs.elki.result.ResultListener: Notify that the current result has changed substantially.
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.AbstractHistogramVisualization
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization.Instance
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization.Instance
resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation
ResultHandler - Interface in de.lmu.ifi.dbs.elki.result: Interface for any class that can handle results
resulthandlers - Variable in class de.lmu.ifi.dbs.elki.workflow.OutputStep.Parameterizer: Output handlers.
resulthandlers - Variable in class de.lmu.ifi.dbs.elki.workflow.OutputStep: Output handler.
ResultHierarchy - Class in de.lmu.ifi.dbs.elki.result: Class to store a hierarchy of result objects.
ResultHierarchy() - Constructor for class de.lmu.ifi.dbs.elki.result.ResultHierarchy: Constructor.
resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN: Holds a list of clusters found.
resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: Holds a list of clusters found.
resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering: Holds a list of clusters found.
ResultListener - Interface in de.lmu.ifi.dbs.elki.result: Listener interface invoked when new results are added to the result tree.
ResultProcessor - Interface in de.lmu.ifi.dbs.elki.result: Interface for any class that can handle results
resultRemoved(Result, Result) - Method in interface de.lmu.ifi.dbs.elki.result.ResultListener: A result was removed.
resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization.Instance
resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation
resultToJSON(JSONBuffer, String) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer: Serialize an arbitrary result into JSON.
ResultUtil - Class in de.lmu.ifi.dbs.elki.result: Utilities for handling result objects
ResultUtil() - Constructor for class de.lmu.ifi.dbs.elki.result.ResultUtil
ResultVisualizer - Class in de.lmu.ifi.dbs.elki.visualization.gui: Handler to process and visualize a Result.
ResultVisualizer(String, VisualizerParameterizer, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer: Constructor.
ResultVisualizer.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.gui: Parameterization class.
ResultVisualizer.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer.Parameterizer
ResultWindow - Class in de.lmu.ifi.dbs.elki.visualization.gui: Swing window to manage a particular result visualization.
ResultWindow(String, HierarchicalResult, VisualizerContext, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow: Constructor.
ResultWriter - Class in de.lmu.ifi.dbs.elki.result: Result handler that feeds the data into a TextWriter.
ResultWriter(File, boolean, boolean, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.result.ResultWriter: Constructor.
ResultWriter.Parameterizer - Class in de.lmu.ifi.dbs.elki.result: Parameterization class.
ResultWriter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.result.ResultWriter.Parameterizer
retainAll(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.database.ids.HashSetModifiableDBIDs: Retain all elements that also are in the second set.
retainAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceDBIDPairList.Itr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DistanceDBIDPairKNNList.Itr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNList.Itr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceKNNSubList.Itr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericDistanceDBIDList.Itr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList.Itr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.DBIDItr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNList.Itr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNListHeap.Itr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.DBIDItr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.DBIDItr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.DBIDItr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveArrayDBIDs.DBIDItr
retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter
retract() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DecreasingVectorIter
retract() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.IncreasingVectorIter
retract() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
retract() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayIter: Moves the iterator backward to the previous entry.
retract() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayListIter
retries - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Retry count
retrieveAccurateDistances(List<PartialVAFile.PartialVACandidate>, int, BitSet, V) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery
returnedAllocations - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory: Returned range allocations
ReusingDBIDFactory - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Slightly more complex DBID management, that allows reuse of DBIDs.
ReusingDBIDFactory() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory: Constructor
reverse() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNList: Reverse the list.
reverseEigenVectors(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs: Returns the last n sorted eigenvectors as a matrix.
reverseKNNQuery(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree: Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
rewind() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization: Rewind the configuration to the initial situation
RGBHistogramQuadraticDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram: Distance function for RGB color histograms based on a quadratic form and color similarity.
RGBHistogramQuadraticDistanceFunction(int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction: Constructor.
RGBHistogramQuadraticDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram: Parameterization class.
RGBHistogramQuadraticDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction.Parameterizer
rhs - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: The right hand side of the equation system.
RIGHT - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGArrow: Constant for "right"
rightChild - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Holds the right child.
rightNeighbor(CLIQUEUnit<V>, Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: Returns the right neighbor of the given unit in the specified dimension.
ringid - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy: Segment ring we are
RKNNIndex<O> - Interface in de.lmu.ifi.dbs.elki.index: Index with support for kNN queries.
RKNNQuery<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.database.query.rknn: Abstract reverse kNN Query interface.
rkNNReach - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult: The rkNN query w.r.t. the reachability distance.
rkNNRefer - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult: The RkNN query w.r.t. the reference neighborhood distance.
rlen - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore: Record length.
rlen - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore: Record length.
rmax - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.Parameterizer
rmax - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI: Holds the value of LOCI.RMAX_ID.
RMAX_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI: Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS: Random factory
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Parameterizer
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeansInitialization.Parameterizer: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeansInitialization: Random number generator
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.Parameterizer
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Parameterizer
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Parameterizer: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging: Random number generator for subspace choice.
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.HistogramJitterFilter.Parameterizer: Random generator seed.
rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.HistogramJitterFilter: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.RandomSamplingStreamFilter.Parameterizer: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ShuffleObjectsFilter.Parameterizer
rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ShuffleObjectsFilter: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Parameterizer: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter: Holds a random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory.Parameterizer: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit.Parameterizer: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity.Parameterizer: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder: Random generator
rnd - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution: Random generator.
rnd - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer: Random seed for sampling.
ROC - Class in de.lmu.ifi.dbs.elki.evaluation.roc: Compute ROC (Receiver Operating Characteristics) curves.
ROC() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC
ROC.DBIDsTest - Class in de.lmu.ifi.dbs.elki.evaluation.roc: Test predicate using a DBID set as positive elements.
ROC.DBIDsTest(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DBIDsTest: Constructor.
ROC.DecreasingVectorIter - Class in de.lmu.ifi.dbs.elki.evaluation.roc: Class to iterate over a number vector in decreasing order.
ROC.DecreasingVectorIter(NumberVector<?>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DecreasingVectorIter: Constructor.
ROC.DistanceResultAdapter<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.evaluation.roc: This adapter can be used for an arbitrary collection of Integers, and uses that id1.compareTo(id2) !
ROC.DistanceResultAdapter(DistanceDBIDListIter<D>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DistanceResultAdapter: Constructor
ROC.IncreasingVectorIter - Class in de.lmu.ifi.dbs.elki.evaluation.roc: Class to iterate over a number vector in decreasing order.
ROC.IncreasingVectorIter(NumberVector<?>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.IncreasingVectorIter: Constructor.
ROC.OutlierScoreAdapter - Class in de.lmu.ifi.dbs.elki.evaluation.roc: This adapter can be used for an arbitrary collection of Integers, and uses that id1.compareTo(id2) !
ROC.OutlierScoreAdapter(OutlierResult) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.OutlierScoreAdapter: Constructor.
ROC.Predicate<T> - Interface in de.lmu.ifi.dbs.elki.evaluation.roc: Predicate to test whether an object is a true positive or false positive.
ROC.ScoreIter - Interface in de.lmu.ifi.dbs.elki.evaluation.roc: Iterator for comparing scores.
ROC.SimpleAdapter - Class in de.lmu.ifi.dbs.elki.evaluation.roc: This adapter can be used for an arbitrary collection of Integers, and uses that id1.compareTo(id2) !
ROC.SimpleAdapter(DBIDIter) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.SimpleAdapter: Constructor
ROC.VectorNonZero - Class in de.lmu.ifi.dbs.elki.evaluation.roc: Class that uses a NumberVector as reference, and considers all non-zero values as positive entries.
ROC.VectorNonZero(NumberVector<?>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.VectorNonZero: Constructor.
ROC.VectorZero - Class in de.lmu.ifi.dbs.elki.evaluation.roc: Class that uses a NumberVector as reference, and considers all zero values as positive entries.
ROC.VectorZero(NumberVector<?>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.VectorZero: Constructor.
rocauc - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve.SmROCResult: ROC AUC score
ROCAUC_LABEL - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve: The label we use for marking ROCAUC values.
root - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree: Tree root
root - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Root element of the document.
rootEntry - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: The entry representing the root node.
rotate90Equals() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Rotate vector by 90 degrees.
rotate90Equals(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Rotate vector by 90 degrees.
rotated - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization: Flag to indicate rotated labels (90 deg to the left)
rouletteRankSelection(ArrayList<AggarwalYuEvolutionary.Individuum>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch: Select surviving individuums weighted by rank.
rounded - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance: Flag for using rounded shapes
rounded - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization: Currently, always enabled.
ROUNDED_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization: Currently unused option to enable/disable rounding
routingDistance - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.DoubleMTreeDistanceSearchCandidate: The distance from the query object to the routing object
routingObjectID - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: The id of routing object of this entry.
routingObjectID - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.DoubleMTreeDistanceSearchCandidate: The id of the routing object.
routingObjectID - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.GenericMTreeDistanceSearchCandidate: The id of the routing object.
row - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Encodes row permutations, row i is at position row[i].
rowIDs - Variable in class de.lmu.ifi.dbs.elki.data.model.Bicluster: The ids of the rows included in the bicluster.
rowIterator() - Method in class de.lmu.ifi.dbs.elki.data.model.Bicluster: Provides an iterator for the row ids.
rowPackedCopy(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Make a one-dimensional row packed copy of the internal array.
rq - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Instance: Range query to use on the database.
RSTAR_OVERFLOW - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment: Default insert strategy used by R*-tree
RStarTree - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar: RStarTree is a spatial index structure based on the concepts of the R*-Tree.
RStarTree(PageFile<RStarTreeNode>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree: Constructor.
RStarTreeFactory<O extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar: Factory for regular R*-Trees.
RStarTreeFactory(PageFileFactory<?>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory: Constructor.
RStarTreeFactory.Parameterizer<O extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar: Parameterization class.
RStarTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory.Parameterizer
RStarTreeIndex<O extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar: The common use of the rstar tree: indexing number vectors.
RStarTreeIndex(Relation<O>, PageFile<RStarTreeNode>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Constructor.
RStarTreeNode - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar: Represents a node in an R*-Tree.
RStarTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode: Empty constructor for Externalizable interface.
RStarTreeNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode: Creates a new RStarTreeNode with the specified parameters.
RStarTreeUtil - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query: Utility class for RStar trees
RStarTreeUtil() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeUtil
rtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance: Element for selection rectangle
rtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance: Element for selection rectangle
rtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance: Element to contain the drag arrow
rtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance: Element for selection rectangle.
rtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance: Element for selection rectangle
RTreeLinearSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split: Linear-time complexity greedy split as used by the original R-Tree.
RTreeLinearSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.RTreeLinearSplit
RTreeLinearSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split: Parameterization class.
RTreeLinearSplit.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.RTreeLinearSplit.Parameterizer
RTreeParallelVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index: Visualize the of an R-Tree based index.
RTreeParallelVisualization(RTreeParallelVisualization.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization: Constructor.
RTreeParallelVisualization.Instance<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index: Instance for a particular data set and tree
RTreeParallelVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance: Constructor.
RTreeParallelVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index: Parameterization class.
RTreeParallelVisualization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Parameterizer
RTreeQuadraticSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split: Quadratic-time complexity greedy split as used by the original R-Tree.
RTreeQuadraticSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.RTreeQuadraticSplit
RTreeQuadraticSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split: Parameterization class.
RTreeQuadraticSplit.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.RTreeQuadraticSplit.Parameterizer
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm
run(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.Algorithm: Runs the algorithm.
run(Database, Relation<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.APRIORI: Performs the APRIORI algorithm on the given database.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm: Run the algorithm.
run(Database, Relation<O>, Relation<NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm: Run the algorithm, with separate radius relation
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm: Run the algorithm, with a separate query set.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex: Run the algorithm.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN: Run the algorithm
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering: Run the algorithm
run(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.ClusteringAlgorithm
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Run CASH on the relation.
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Performs the COPAC algorithm on the given database.
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC: Performs the ERiC algorithm on the given database.
run(Database, Relation<NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS: The main LMCLUS (Linear manifold clustering algorithm) is processed in this method.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: Performs the ORCLUS algorithm on the given database.
run(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: Performs the DBSCAN algorithm on the given database.
run(Database, Relation<NV>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM: Performs the EM clustering algorithm on the given database.
run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance: Run the actual GDBSCAN algorithm.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.ExtractFlatClusteringFromHierarchy
run(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.HierarchicalClusteringAlgorithm
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.NaiveAgglomerativeHierarchicalClustering: Run the algorithm
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK: Performs the SLINK algorithm on the given database.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansLloyd: Run k-means.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMacQueen: Run k-means.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd: Run k-medians.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM: Run k-medoids
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM: Run k-medoids
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering: Run the mean-shift clustering algorithm.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS: Run OPTICS on the database.
run(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSTypeAlgorithm
run(Database, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering: Perform SNN clustering
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Performs the CLIQUE algorithm on the given database.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Performs the DiSH algorithm on the given database.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Performs the PROCLUS algorithm on the given database.
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: Performs the SUBCLU algorithm on the given database.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering: Run the actual clustering algorithm.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelHierarchicalClustering
run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelHierarchicalClustering: Run the actual clustering algorithm.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelOrAllInOneClustering
run(Relation<Model>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering: Run the actual clustering algorithm.
run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllInOne
run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllNoise
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: Computes quantitatively linear dependencies among the attributes of the given database based on a linear correlation PCA.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.DummyAlgorithm: Run the algorithm.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder: Provides an order of the kNN-distances for all objects within the specified database.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin: Joins in the given spatial database to each object its k-nearest neighbors.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances: Iterates over all points in the database.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.NullAlgorithm
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD: Run ABOD on the data set.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier: Runs the algorithm in the timed evaluation part.
run() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary: Performs the evolutionary algorithm on the given database.
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuNaive: Run the algorithm on the given relation.
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP: Process a single relation.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.EMOutlier: Runs the algorithm in the timed evaluation part.
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel: Run the algorithm
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: Run the algorithm
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.KNNOutlier: Runs the algorithm in the timed evaluation part.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.KNNWeightOutlier: Runs the algorithm in the timed evaluation part.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF: Performs the Generalized LOF algorithm on the given database by calling FlexibleLOF.doRunInTime(de.lmu.ifi.dbs.elki.database.ids.DBIDs, de.lmu.ifi.dbs.elki.database.query.knn.KNNQuery<O, D>, de.lmu.ifi.dbs.elki.database.query.knn.KNNQuery<O, D>, de.lmu.ifi.dbs.elki.logging.progress.StepProgress).
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.INFLO: Run the algorithm
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDF: Run the naive kernel density LOF algorithm.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDOF: Run the algorithm
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI: Run the algorithm
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOF: Performs the Generalized LOF_SCORE algorithm on the given database.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP: Performs the LoOP algorithm on the given database.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.OnlineLOF: Performs the Generalized LOF_SCORE algorithm on the given database by calling #doRunInTime(Database) and adds a OnlineLOF.LOFKNNListener to the preprocessors.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimpleKernelDensityLOF: Run the naive kernel density LOF algorithm.
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimplifiedLOF: Run the Simple LOF algorithm.
run(Database, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore: Run the algorithm.
run(Database, Relation<NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging: Run the algorithm on a data set.
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS: Perform HiCS on a given database.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.SimpleOutlierEnsemble
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ODIN: Run the ODIN algorithm
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF: Perform OPTICS-based outlier detection.
run(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.outlier.OutlierAlgorithm
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection: Run the algorithm on the given relation.
run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP
run(Database, Relation<V>, Relation<? extends NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm: Run the algorithm
run(Relation<N>, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMeanMultipleAttributes
run(Relation<N>, Relation<? extends NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianAlgorithm: Main method.
run(Relation<N>, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianMultipleAttributes: Run the algorithm
run(Relation<N>, Relation<? extends NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMoranScatterplotOutlier: Main method.
run(Relation<N>, Relation<? extends NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC: Run the algorithm.
run(Relation<N>, Relation<? extends NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuScatterplotOutlier: Main method.
run(Database, Relation<N>, Relation<? extends NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuZTestOutlier: Main method.
run(Database, Relation<N>, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SLOM
run(Database, Relation<N>, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SOF: The main run method
run(Database, Relation<N>, Relation<? extends NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach: Run the algorithm.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES: Main loop for OUTRES
run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD: Performs the SOD algorithm on the given database.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier
run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier: Run the algorithm
run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialAllOutlier: Run the actual algorithm.
run(Relation<? extends NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialAverageCoordinateOutlier: Run the actual algorithm.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier
run(Relation<Model>, Relation<NumberVector<?>>, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier: Run the algorithm
run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialNoOutlier: Run the actual algorithm.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale
run(Relation<? extends NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale: Add scales to a single vector relation.
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality
run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram: Process a database
run() - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication: Runs the application.
run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists
run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries
run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix
run() - Method in class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram
run() - Method in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication
run() - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: Runs the wrapper with the specified arguments.
run() - Method in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances
run(int, String) - Method in interface de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.AlgRunner
run() - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores
run() - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment
run() - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix
run() - Method in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication
run() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI
run() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI
run() - Method in class de.lmu.ifi.dbs.elki.KDDTask: Method to run the specified algorithm using the specified database connection.
run(boolean) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D: Run the actual algorithm
run() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Iterate until convergence, at most 100 times.
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.AttributeModifier
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer.JSVGSynchronizedRunner
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceChild
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer
run() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView.InsertVisualization
run() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread
run(Database, Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1: Run the algorithm
run(Database, Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2: Run the algorithm
run(Database, Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3: Run the algorithm
run(Database, Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4: Run the algorithm
run(Database, Relation<V>) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm: Run k-means with cluster size constraints.
run(Database, Relation<O>) - Method in class tutorial.outlier.DistanceStddevOutlier: Run the outlier detection algorithm
run(Database, Relation<O>) - Method in class tutorial.outlier.ODIN: Run the ODIN algorithm Tutorial note: the signature of this method depends on the types that we requested in the ODIN.getInputTypeRestriction() method.
runabod - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores: Include ABOD in the experiments.
runAlgorithms(Database) - Method in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep: Run algorithms.
runButton - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: The "run" button.
runButton - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel: The "run" button.
runCLIApplication(Class<?>, String[]) - Static method in class de.lmu.ifi.dbs.elki.application.AbstractApplication: Generic command line invocation.
runDBSCAN(Relation<V>, DBIDs, Subspace) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: Runs the DBSCAN algorithm on the specified partition of the database in the given subspace.
runDerivator(Relation<ParameterizationFunction>, int, CASHInterval, ModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Runs the derivator on the specified interval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.
runDerivator(Relation<ParameterizationFunction>, int, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Runs the derivator on the specified interval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.
runEvaluators(HierarchicalResult, Database) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep
runForEachK(ComputeKNNOutlierScores.AlgRunner) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores: Iterate over the k range.
runner - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Registers changes of this SVGPlot.
runPartitionAlgorithm(Relation<V>, Map<Integer, DBIDs>, DistanceQuery<V, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Runs the partition algorithm and creates the result.
runQueue() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner: Run the processing queue now.
runResultHandlers(HierarchicalResult) - Method in class de.lmu.ifi.dbs.elki.workflow.OutputStep: Run the result handlers.

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z