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 _

A

ABOD<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Angle-Based Outlier Detection Outlier detection using variance analysis on angles, especially for high dimensional data sets.
ABOD(int, int, PrimitiveSimilarityFunction<? super V, DoubleDistance>, DistanceFunction<V, DoubleDistance>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
Actual constructor, with parameters.
ABOD(int, PrimitiveSimilarityFunction<? super V, DoubleDistance>, DistanceFunction<V, DoubleDistance>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
Actual constructor, with parameters.
ABOD.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Parameterization class.
ABOD.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD.Parameterizer
 
AbortException - Exception in de.lmu.ifi.dbs.elki.utilities.exceptions
Exception for aborting some process and transporting a message.
AbortException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.AbortException
Exception for aborting some process and transporting a message.
AbortException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.AbortException
Exception for aborting some process and transporting a message.
absolute - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter
Indicates whether delta is an absolute or a relative value.
absolute - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter.Parameterizer
Indicates whether delta is an absolute or a relative value.
AbstractAggarwalYuOutlier<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Abstract base class for the sparse-grid-cell based outlier detection of Aggarwal and Yu.
AbstractAggarwalYuOutlier(int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier
Constructor.
AbstractAggarwalYuOutlier.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Parameterization class.
AbstractAggarwalYuOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier.Parameterizer
 
AbstractAlgorithm<R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm
This class serves also as a model of implementing an algorithm within this framework.
AbstractAlgorithm() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm
Constructor.
AbstractApplication - Class in de.lmu.ifi.dbs.elki.application
AbstractApplication sets the values for flags verbose and help.
AbstractApplication(boolean) - Constructor for class de.lmu.ifi.dbs.elki.application.AbstractApplication
Constructor.
AbstractApplication.Parameterizer - Class in de.lmu.ifi.dbs.elki.application
Parameterization class.
AbstractApplication.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer
 
AbstractBulkSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.bulk
Encapsulates the required parameters for a bulk split of a spatial index.
AbstractBulkSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.bulk.AbstractBulkSplit
Constructor
AbstractComputeColorHistogram - Class in de.lmu.ifi.dbs.elki.data.images
Abstract class for color histogram computation.
AbstractComputeColorHistogram() - Constructor for class de.lmu.ifi.dbs.elki.data.images.AbstractComputeColorHistogram
 
AbstractConversionFilter<I,O> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Abstract base class for simple conversion filters such as normalizations and projections.
AbstractConversionFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter
 
AbstractCosineDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Abstract base class for Cosine and ArcCosine distances.
AbstractCosineDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractCosineDistanceFunction
Constructor.
AbstractCovarianceMatrixBuilder<V extends NumberVector<? extends V,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
Abstract class with the task of computing a Covariance matrix to be used in PCA.
AbstractCovarianceMatrixBuilder() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
 
AbstractDatabase - Class in de.lmu.ifi.dbs.elki.database
Abstract base class for database API implementations.
AbstractDatabase() - Constructor for class de.lmu.ifi.dbs.elki.database.AbstractDatabase
Constructor.
AbstractDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource
Abstract super class for all database connections.
AbstractDatabaseConnection(List<ObjectFilter>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection
Constructor.
AbstractDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource
Parameterization class.
AbstractDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer
 
AbstractDatabaseDistanceFunction<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Abstract super class for distance functions needing a database context.
AbstractDatabaseDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction
Constructor, supporting Parameterizable style classes.
AbstractDatabaseDistanceFunction.Instance<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
The actual instance bound to a particular database.
AbstractDatabaseDistanceFunction.Instance(Relation<O>, DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction.Instance
Constructor.
AbstractDatabaseDistanceQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.distance
Run a database query in a database context.
AbstractDatabaseDistanceQuery(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery
Constructor.
AbstractDataBasedQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query
Abstract query bound to a certain representation.
AbstractDataBasedQuery(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery
Database this query works on.
AbstractDBIDDistanceFunction<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
AbstractDistanceFunction provides some methods valid for any extending class.
AbstractDBIDDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDBIDDistanceFunction
Provides an abstract DistanceFunction.
AbstractDBIDSimilarityFunction<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction
Abstract super class for distance functions needing a preprocessor.
AbstractDBIDSimilarityFunction(Relation<? extends DBID>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractDBIDSimilarityFunction
Constructor.
AbstractDBIDSimilarityQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.similarity
Run a database query in a database context.
AbstractDBIDSimilarityQuery(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractDBIDSimilarityQuery
Constructor.
AbstractDBOutlier<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Simple distance based outlier detection algorithms.
AbstractDBOutlier(DistanceFunction<? super O, D>, D) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier
Constructor with actual parameters.
AbstractDBOutlier.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Parameterization class.
AbstractDBOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier.Parameterizer
 
AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<?,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.
AbstractDimensionsSelectingDoubleDistanceFunction(BitSet) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction
Constructor.
AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Parameterization class.
AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer
 
AbstractDirectoryEntry - Class in de.lmu.ifi.dbs.elki.index.tree
Abstract superclass for entries in an tree based index structure.
AbstractDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry
Empty constructor for serialization purposes.
AbstractDirectoryEntry(Integer) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry
Provides a new AbstractEntry with the specified id.
AbstractDistance<D extends AbstractDistance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancevalue
An abstract distance implements equals conveniently for any extending class.
AbstractDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.AbstractDistance
 
AbstractDistanceBasedAlgorithm<O,D extends Distance<D>,R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm
Provides an abstract algorithm already setting the distance function.
AbstractDistanceBasedAlgorithm(DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm
Constructor.
AbstractDistanceBasedAlgorithm.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm
Parameterization helper class.
AbstractDistanceBasedAlgorithm.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer
 
AbstractDistanceBasedSpatialOutlier<N,O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial
Abstract base class for distance-based spatial outlier detection methods.
AbstractDistanceBasedSpatialOutlier(NeighborSetPredicate.Factory<N>, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier
Constructor.
AbstractDistanceBasedSpatialOutlier.Parameterizer<N,O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial
Parameterization class.
AbstractDistanceBasedSpatialOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier.Parameterizer
 
AbstractDistanceKNNQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.knn
Instance for the query on a particular database.
AbstractDistanceKNNQuery(DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.AbstractDistanceKNNQuery
Constructor.
AbstractDistanceQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.distance
A distance query serves as adapter layer for database and primitive distances.
AbstractDistanceQuery(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
Constructor.
AbstractDistanceRangeQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.range
Abstract base class for range queries that use a distance query in their instance
AbstractDistanceRangeQuery(DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.range.AbstractDistanceRangeQuery
Constructor.
AbstractEditDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
Provides the Edit Distance for FeatureVectors.
AbstractEditDistanceFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction
Constructor.
AbstractEditDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
Parameterization class.
AbstractEditDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction.Parameterizer
 
AbstractFeatureSelectionFilter<V extends FeatureVector<?,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter
A ProjectionParser projects the objects of its base parser onto a subspace specified by a BitSet.
AbstractFeatureSelectionFilter(BitSet) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractFeatureSelectionFilter
Constructor.
AbstractFeatureSelectionFilter.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Parameterization class.
AbstractFeatureSelectionFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractFeatureSelectionFilter.Parameterizer
 
AbstractFilteredIterator<IN,OUT extends IN> - Class in de.lmu.ifi.dbs.elki.utilities.iterator
Abstract class to build filtered views on Iterables.
AbstractFilteredIterator() - Constructor for class de.lmu.ifi.dbs.elki.utilities.iterator.AbstractFilteredIterator
Constructor.
AbstractFilteredPCAIndex<NV extends NumberVector<? extends NV,?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca
Abstract base class for a local PCA based index.
AbstractFilteredPCAIndex(Relation<NV>, PCAFilteredRunner<NV>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex
Constructor.
AbstractFilteredPCAIndex.Factory<NV extends NumberVector<NV,?>,I extends AbstractFilteredPCAIndex<NV>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca
Factory class
AbstractFilteredPCAIndex.Factory(DistanceFunction<NV, DoubleDistance>, PCAFilteredRunner<NV>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory
Constructor.
AbstractFilteredPCAIndex.Factory.Parameterizer<NV extends NumberVector<NV,?>,I extends AbstractFilteredPCAIndex<NV>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca
Parameterization class.
AbstractFilteredPCAIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory.Parameterizer
 
AbstractHierarchicalResult - Class in de.lmu.ifi.dbs.elki.result
Abstract class for a result object with hierarchy
AbstractHierarchicalResult() - Constructor for class de.lmu.ifi.dbs.elki.result.AbstractHierarchicalResult
Constructor.
AbstractIndex<O> - Class in de.lmu.ifi.dbs.elki.index
Abstract base class for indexes with some implementation defaults.
AbstractIndex(Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.AbstractIndex
Constructor.
AbstractIndexBasedDistanceFunction<O,I extends Index,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Abstract super class for distance functions needing a database index.
AbstractIndexBasedDistanceFunction(IndexFactory<O, I>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction
Constructor.
AbstractIndexBasedDistanceFunction.Instance<O,I extends Index,D extends Distance<D>,F extends DistanceFunction<? super O,D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
The actual instance bound to a particular database.
AbstractIndexBasedDistanceFunction.Instance(Relation<O>, I, F) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance
Constructor.
AbstractIndexBasedDistanceFunction.Parameterizer<F extends IndexFactory<?,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Parameterization class.
AbstractIndexBasedDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Parameterizer
 
AbstractIndexBasedSimilarityFunction<O,I extends Index,R,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction
Abstract super class for distance functions needing a preprocessor.
AbstractIndexBasedSimilarityFunction(IndexFactory<O, I>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction
Constructor.
AbstractIndexBasedSimilarityFunction.Instance<O,I extends Index,R,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction
The actual instance bound to a particular database.
AbstractIndexBasedSimilarityFunction.Instance(Relation<O>, I) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Instance
Constructor.
AbstractIndexBasedSimilarityFunction.Parameterizer<F extends IndexFactory<?,?>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction
Parameterization class.
AbstractIndexBasedSimilarityFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Parameterizer
 
AbstractLeafEntry - Class in de.lmu.ifi.dbs.elki.index.tree
Abstract superclass for entries in an tree based index structure.
AbstractLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry
Empty constructor for serialization purposes.
AbstractLeafEntry(DBID) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry
Provides a new AbstractEntry with the specified id.
AbstractMaterializeKNNPreprocessor<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
Abstract base class for KNN Preprocessors.
AbstractMaterializeKNNPreprocessor(Relation<O>, DistanceFunction<? super O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
Constructor.
AbstractMaterializeKNNPreprocessor.Factory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
The parameterizable factory.
AbstractMaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory
Index factory.
AbstractMaterializeKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
Parameterization class.
AbstractMaterializeKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory.Parameterizer
 
AbstractMkTree<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees
Abstract class for all M-Tree variants supporting processing of reverse k-nearest neighbor queries by using the k-nn distances of the entries, where k is less than or equal to the given parameter.
AbstractMkTree(PageFile<N>, DistanceQuery<O, D>, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree
Constructor.
AbstractMkTreeUnified<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees
Abstract class for all M-Tree variants supporting processing of reverse k-nearest neighbor queries by using the k-nn distances of the entries, where k is less than or equal to the given parameter.
AbstractMkTreeUnified(PageFile<N>, DistanceQuery<O, D>, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnified
Constructor.
AbstractMkTreeUnifiedFactory<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>,I extends AbstractMkTree<O,D,N,E> & Index> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees
Abstract factory for various Mk-Trees
AbstractMkTreeUnifiedFactory(String, int, long, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory
Constructor.
AbstractMkTreeUnifiedFactory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees
Parameterization class.
AbstractMkTreeUnifiedFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory.Parameterizer
 
AbstractMTree<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Abstract super class for all M-Tree variants.
AbstractMTree(PageFile<N>, DistanceQuery<O, D>, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
Constructor.
AbstractMTree.SplitResult - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Encapsulates a split object and the newly created node.
AbstractMTree.SplitResult(MTreeSplit<O, D, N, E>, N) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.SplitResult
 
AbstractMTreeFactory<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>,I extends AbstractMTree<O,D,N,E> & Index> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Abstract factory for various MTrees
AbstractMTreeFactory(String, int, long, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory
Constructor.
AbstractMTreeFactory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Parameterization class.
AbstractMTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer
 
AbstractMTreeNode<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Abstract super class for nodes in M-Tree variants.
AbstractMTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode
Empty constructor for Externalizable interface.
AbstractMTreeNode(int, boolean, Class<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode
Creates a new MTreeNode with the specified parameters.
AbstractNeighborhoodOutlier<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial
Abstract base class for spatial outlier detection methods using a spatial neighborhood.
AbstractNeighborhoodOutlier(NeighborSetPredicate.Factory<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier
Constructor
AbstractNeighborhoodOutlier.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial
Parameterization class.
AbstractNeighborhoodOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier.Parameterizer
 
AbstractNode<E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree
Abstract superclass for nodes in an tree based index structure.
AbstractNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
Empty constructor for Externalizable interface.
AbstractNode(int, boolean, Class<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
Creates a new Node with the specified parameters.
AbstractNormalization<O> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Abstract super class for all normalizations.
AbstractNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractNormalization
Initializes the option handler and the parameter map.
AbstractNumberConstraint<P> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints
Abstract super class for constraints dealing with a certain number value.
AbstractNumberConstraint(Number) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.AbstractNumberConstraint
Creates an abstract number constraint.
AbstractNumberVector<V extends AbstractNumberVector<? extends V,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.data
AbstractNumberVector is an abstract implementation of FeatureVector.
AbstractNumberVector() - Constructor for class de.lmu.ifi.dbs.elki.data.AbstractNumberVector
 
AbstractOPTICSVisualization<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics
Abstract base class for OPTICS visualizer
AbstractOPTICSVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.AbstractOPTICSVisualization
Constructor.
AbstractPage - Class in de.lmu.ifi.dbs.elki.persistent
Abstract superclass for pages.
AbstractPage() - Constructor for class de.lmu.ifi.dbs.elki.persistent.AbstractPage
Empty constructor for Externalizable interface.
AbstractPageFile<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent
Abstract base class for the page file API for both caches and true page files (in-memory and on-disk).
AbstractPageFile() - Constructor for class de.lmu.ifi.dbs.elki.persistent.AbstractPageFile
Constructor.
AbstractParameterConfigurator<T extends Parameter<?,?>> - Class in de.lmu.ifi.dbs.elki.gui.configurator
Abstract class to produce a configurator for a particular parameter.
AbstractParameterConfigurator(T, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator
Constructor.
AbstractParameterization - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization
Abstract class with shared code for parameterization handling.
AbstractParameterization() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization
 
AbstractParameterizer - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling
Abstract base class that handles the parameterization of a class.
AbstractParameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer
 
AbstractParser - Class in de.lmu.ifi.dbs.elki.datasource.parser
Abstract superclass for all parsers providing the option handler for handling options.
AbstractParser(Pattern, char) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser
Constructor.
AbstractParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser
Parameterization class.
AbstractParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser.Parameterizer
 
AbstractPrecomputedNeighborhood - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood
Abstract base class for precomputed neighborhoods.
AbstractPrecomputedNeighborhood(DataStore<DBIDs>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood
Constructor.
AbstractPrecomputedNeighborhood.Factory<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood
Factory class.
AbstractPrecomputedNeighborhood.Factory() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood.Factory
 
AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends NumberVector<?,?>,P extends PreferenceVectorIndex<V>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Abstract super class for all preference vector based correlation distance functions.
AbstractPreferenceVectorBasedCorrelationDistanceFunction(IndexFactory<V, P>, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction
Constructor.
AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance<V extends NumberVector<?,?>,P extends PreferenceVectorIndex<V>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Instance to compute the distances on an actual database.
AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance(Relation<V>, P, double, AbstractPreferenceVectorBasedCorrelationDistanceFunction<? super V, ?>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance
Constructor.
AbstractPreferenceVectorBasedCorrelationDistanceFunction.Parameterizer<F extends IndexFactory<?,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Parameterization class.
AbstractPreferenceVectorBasedCorrelationDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Parameterizer
 
AbstractPreferenceVectorIndex<NV extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
Abstract base class for preference vector based algorithms.
AbstractPreferenceVectorIndex(Relation<NV>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex
Constructor.
AbstractPreferenceVectorIndex.Factory<V extends NumberVector<?,?>,I extends PreferenceVectorIndex<V>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
Factory class
AbstractPreferenceVectorIndex.Factory() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex.Factory
 
AbstractPreprocessorIndex<O,R> - Class in de.lmu.ifi.dbs.elki.index.preprocessed
Abstract base class for simple preprocessor based indexes, requiring a simple object storage for preprocessing results.
AbstractPreprocessorIndex(Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.AbstractPreprocessorIndex
Constructor.
AbstractPrimitiveDistanceBasedAlgorithm<O,D extends Distance<D>,R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm
Provides an abstract algorithm already setting the distance function.
AbstractPrimitiveDistanceBasedAlgorithm(PrimitiveDistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm
Constructor.
AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm
Parameterization helper class.
AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer
 
AbstractPrimitiveDistanceFunction<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
AbstractDistanceFunction provides some methods valid for any extending class.
AbstractPrimitiveDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction
Provides an abstract DistanceFunction.
AbstractPrimitiveSimilarityFunction<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction
Base implementation of a similarity function.
AbstractPrimitiveSimilarityFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPrimitiveSimilarityFunction
Constructor.
AbstractProgress - Class in de.lmu.ifi.dbs.elki.logging.progress
Abstract base class for FiniteProgress objects.
AbstractProgress(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress
Default constructor.
AbstractProjectedClustering<R extends Clustering<Model>,V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
Abstract superclass for projected clustering algorithms, like PROCLUS and ORCLUS.
AbstractProjectedClustering(int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering
Internal constructor.
AbstractProjectedClustering.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
Parameterization class.
AbstractProjectedClustering.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering.Parameterizer
 
AbstractProjectedDBSCAN<R extends Clustering<Model>,V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
Provides an abstract algorithm requiring a VarianceAnalysisPreprocessor.
AbstractProjectedDBSCAN(DoubleDistance, int, LocallyWeightedDistanceFunction<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN
Constructor.
AbstractProjectedDBSCAN.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
Parameterization class.
AbstractProjectedDBSCAN.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN.Parameterizer
 
AbstractProjection - Class in de.lmu.ifi.dbs.elki.visualization.projections
Abstract base projection class.
AbstractProjection(LinearScale[]) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection
Constructor.
AbstractRandomFeatureSelectionFilter<V extends FeatureVector<?,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter
A RandomProjectionParser selects a subset of attributes randomly for projection of a ParsingResult.
AbstractRandomFeatureSelectionFilter(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractRandomFeatureSelectionFilter
Constructor.
AbstractRandomFeatureSelectionFilter.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Parameterization class.
AbstractRandomFeatureSelectionFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractRandomFeatureSelectionFilter.Parameterizer
 
AbstractRKNNQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.rknn
Instance for the query on a particular database.
AbstractRKNNQuery(DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.AbstractRKNNQuery
Constructor.
AbstractRStarTree<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
Abstract superclass for index structures based on a R*-Tree.
AbstractRStarTree(PageFile<N>, BulkSplit, InsertionStrategy) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Constructor
AbstractRStarTreeFactory<O extends NumberVector<O,?>,N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry,I extends AbstractRStarTree<N,E> & Index> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
Abstract factory for R*-Tree based trees.
AbstractRStarTreeFactory(String, int, long, BulkSplit, InsertionStrategy) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory
Constructor.
AbstractRStarTreeFactory.Parameterizer<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
Parameterization class.
AbstractRStarTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer
 
AbstractRStarTreeNode<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
Abstract superclass for nodes in a R*-Tree.
AbstractRStarTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Empty constructor for Externalizable interface.
AbstractRStarTreeNode(int, boolean, Class<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Creates a new AbstractRStarTreeNode with the specified parameters.
AbstractSimilarityAdapter<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter
Adapter from a normalized similarity function to a distance function.
AbstractSimilarityAdapter(NormalizedSimilarityFunction<? super O, ? extends NumberDistance<?, ?>>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter
Constructor.
AbstractSimilarityAdapter.Instance<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter
Inner proxy class for SNN distance function.
AbstractSimilarityAdapter.Instance(Relation<O>, DistanceFunction<? super O, DoubleDistance>, SimilarityQuery<? super O, ? extends NumberDistance<?, ?>>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance
Constructor.
AbstractSimilarityAdapter.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter
Parameterization class.
AbstractSimilarityAdapter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Parameterizer
 
AbstractSimilarityQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.similarity
A distance query serves as adapter layer for database and primitive similarity functions.
AbstractSimilarityQuery(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractSimilarityQuery
Constructor.
AbstractSimpleProjection - Class in de.lmu.ifi.dbs.elki.visualization.projections
Abstract base class for "simple" projections.
AbstractSimpleProjection(LinearScale[]) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
Constructor.
AbstractSingleParameterConfigurator<T extends Parameter<?,?>> - Class in de.lmu.ifi.dbs.elki.gui.configurator
 
AbstractSingleParameterConfigurator(T, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.AbstractSingleParameterConfigurator
 
AbstractStoringPageFile<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent
Abstract class implementing general methods of a PageFile.
AbstractStoringPageFile(int) - Constructor for class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile
Creates a new PageFile.
AbstractSubspaceProjectionIndex<NV extends NumberVector<?,?>,D extends Distance<D>,P extends ProjectionResult> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj
Abstract base class for a local PCA based index.
AbstractSubspaceProjectionIndex(Relation<NV>, D, DistanceFunction<NV, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex
Constructor.
AbstractSubspaceProjectionIndex.Factory<NV extends NumberVector<?,?>,D extends Distance<D>,I extends AbstractSubspaceProjectionIndex<NV,D,?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj
Factory class
AbstractSubspaceProjectionIndex.Factory(D, DistanceFunction<NV, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory
Constructor.
AbstractSubspaceProjectionIndex.Factory.Parameterizer<NV extends NumberVector<?,?>,D extends Distance<D>,C> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj
Parameterization class.
AbstractSubspaceProjectionIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory.Parameterizer
 
AbstractTooltipVisualization<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d
General base class for a tooltip visualizer.
AbstractTooltipVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AbstractTooltipVisualization
 
AbstractVectorDoubleDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Abstract base class for the most common family of distance functions: defined on number vectors and returning double values.
AbstractVectorDoubleDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction
Constructor.
AbstractVisFactory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers
Abstract superclass for Visualizers (aka: Visualization Factories).
AbstractVisFactory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory
Constructor.
AbstractVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers
Abstract base class for visualizations.
AbstractVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
Constructor.
absValue() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
Returns the absolute value of this rational number.
accumulateDataStoreEvents() - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
 
accumulateDataStoreEvents() - Method in interface de.lmu.ifi.dbs.elki.database.Database
Collects all insertion, deletion and update events until Database.flushDataStoreEvents() is called.
accumulateDataStoreEvents - Variable in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Indicates whether DataStoreEvents should be accumulated and fired as one event on demand.
accumulateDataStoreEvents() - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Collects successive insertion, deletion or update events.
actionListeners - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Action listeners for this plot.
actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator
Callback to show the popup menu
actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator
 
actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.EnumParameterConfigurator
 
actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.FileParameterConfigurator
Button callback to show the file selector
actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.FlagParameterConfigurator
 
actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.TextParameterConfigurator
 
actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor
Callback to show the popup menu
actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor
Button callback to show the file selector
activate() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer
 
activate() - Method in interface de.lmu.ifi.dbs.elki.visualization.svg.UpdateSynchronizer
This method is called whenever a new pending event was added.
activeEditor - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor
We need to remember which editor we delegated to, so we know whom to ask for the value entered.
activeRatio - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer
Last ratio of the Canvas applied
actualMaximum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta
Store the actual maximum
actualMaximum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore
Actual maximum seen, if given by the algorithm.
actualMinimum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta
Store the actual minimum
actualMinimum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore
Actual minimum seen, if given by the algorithm.
adapatedStrongEigenvectors - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult
The diagonal matrix of adapted strong eigenvalues: eigenvectors * e_czech.
adapatedStrongEigenvectors() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult
Returns a copy of the adapted strong eigenvectors.
adaptedCoefficientOfDetermination() - Method in class de.lmu.ifi.dbs.elki.math.statistics.PolynomialRegression
Returns the adapted coefficient of determination
add(DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs
 
add(DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MergedDBIDs
 
add(Vector) - Method in class de.lmu.ifi.dbs.elki.math.ConvexHull2D
Add a single point to the list (this does not compute the hull!)
add(DBID, DBID, D) - Method in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult
Add an object to the cluster order.
add(ClusterOrderEntry<D>) - Method in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult
Add an object to the cluster order.
add(Result, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy
 
add(K, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.HashMapList
Add a single value to the given key.
add(D, DBID) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNHeap
Add a distance-id pair to the heap unless the distance is too large.
add(DistanceResultPair<D>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList
 
add(int, DistanceResultPair<D>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList
 
add(O, O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList
 
add(O, O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.ModifiableHierarchy
Add a parent-child relationship.
add(E) - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.ReverseListIterator
 
add(T) - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.UnmodifiableListIterator
 
add(T) - Method in class de.lmu.ifi.dbs.elki.utilities.Util.MaskedArrayList
 
addActionListener(ActionListener) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Adds an ActionListener to the plot.
addAll(Collection<? extends DBID>) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MergedDBIDs
 
addAll(Collection<? extends DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList
 
addAll(int, Collection<? extends DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList
 
addAxisReflection(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Add a reflection along the given axis.
addBackground(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
Create a background node.
addCandidates(int) - Method in class de.lmu.ifi.dbs.elki.utilities.QueryStatistic
Adds the specified number to the number of the candidate objects.
addChangeListener(ChangeListener) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator
 
addChangeListener(ChangeListener) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel
 
addChangeListener(ChangeListener) - Method in interface de.lmu.ifi.dbs.elki.gui.configurator.ParameterConfigurator
 
addChildResult(Result) - Method in class de.lmu.ifi.dbs.elki.result.AbstractHierarchicalResult
Add a child result.
addChildResult(HierarchicalResult, Result) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil
Add a child result.
addClass(CSSClass) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager
Add a single class to the map.
addCluster(Cluster<M>) - Method in class de.lmu.ifi.dbs.elki.data.Clustering
Add a cluster to the clustering.
addCluster(GeneratorInterface) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain
Add a cluster to the cluster list.
addConstraint(ParameterConstraint<S>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter
Add an additional constraint.
addContextChangeListener(ContextChangeListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
Add a context change listener.
AddCSSClass - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
Add a CSS class to the event target.
AddCSSClass(String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.AddCSSClass
Constructor
addCSSClass(Element, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil
Add a CSS class to an Element.
addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization
Adds the required CSS-Classes
addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
Adds the required CSS-Classes
addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
Adds the required CSS-Classes
addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
Adds the required CSS-Classes
addCSSClasses(SVGPlot, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterConvexHullVisualization
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterMeanVisualization
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.MoveObjectsToolVisualization
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionConvexHullVisualization
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionCubeVisualization
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionDotVisualization
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolCubeVisualization
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolDotVisualization
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ToolBox2DVisualization
Adds the required CSS-Classes
addCSSClassOrLogError(CSSClass) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Convenience method to add a CSS class or log an error.
addDataStoreListener(DataStoreListener) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
 
addDataStoreListener(DataStoreListener) - Method in interface de.lmu.ifi.dbs.elki.database.Database
Adds a listener for the DataStoreEvent posted after the content of the database changes.
addDataStoreListener(DataStoreListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
Adds a listener for the DataStoreEvent posted after the content changes.
addDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericArrayModifiableDBIDs
 
addDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericHashSetModifiableDBIDs
 
addDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericTreeSetModifiableDBIDs
 
addDBIDs(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs
Add DBIDs to collection.
addDenseUnit(CLIQUEUnit<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace
Adds the specified dense unit to this subspace.
addDirectoryEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
Adds a new directory entry to this node's children and returns the index of the entry in this node's children array.
addDirectoryEntry(E) - Method in interface de.lmu.ifi.dbs.elki.index.tree.Node
Adds a new directory entry to this node's children and returns the index of the entry in this node's children array.
addDiscarded(int) - Method in interface de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorInterfaceDynamic
Indicate that points were discarded.
addDiscarded(int) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Increase number of discarded points
addEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
Adds the specified entry to the entries array and increases the numEntries counter.
addEventListener(Element, VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ToolBox2DVisualization
Add an event listener to the Element
addFeatureVector(DBID, V) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
Adds the id of the specified feature vector to this unit, if this unit contains the feature vector.
addFlag(OptionID) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization
Add a flag to the parameter list
addGenerator(Distribution) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Add a new generator to the cluster.
addHandler(Handler) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration
Add a handler to the root logger.
addHeader(String) - Method in class de.lmu.ifi.dbs.elki.result.CollectionResult
Add header information
addIndex(Index) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
 
addIndex(Index) - Method in interface de.lmu.ifi.dbs.elki.database.Database
Add a new index to the database.
addIndex(Index) - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase
 
additiveInverse() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
Returns the additive inverse of this RationalNumber.
addKNNListener(KNNListener) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
Adds a KNNListener which will be invoked when the kNNs of objects are changing.
addLeafEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
Adds a new leaf entry to this node's children and returns the index of the entry in this node's children array.
addLeafEntry(E) - Method in interface de.lmu.ifi.dbs.elki.index.tree.Node
Adds a new leaf entry to this node's children and returns the index of the entry in this node's children array.
addListener(DataStoreListener) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Adds a DataStoreListener for a DataStoreEvent posted after the content of the database changes.
addListener(ResultListener) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Adds a ResultListener to be notified on new results.
addMarker() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
Add marker for the selected IDs to mtag
addMarkerRect(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
Create a rectangle as marker (Marker higher than plot!)
addMatrix(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Add a matrix operation to the matrix.
addNewRelation(SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
Add a new representation for the given meta.
addNewRelation(SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase
Add a new representation for the given meta.
addObserver(Observer<? super ParameterTabPanel>) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel
 
addObserver(Observer<? super T>) - Method in interface de.lmu.ifi.dbs.elki.utilities.designpattern.Observable
Add an observer to the object.
addObserver(Observer<? super T>) - Method in class de.lmu.ifi.dbs.elki.utilities.designpattern.Observers
Add an observer to the object.
addPanels(JTabbedPane) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI
 
addParameter(Object, Parameter<?, ?>, TrackParameters) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator
 
addParameter(Object, Parameter<?, ?>, TrackParameters) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator
 
addParameter(Object, Parameter<?, ?>, TrackParameters) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator
 
addParameter(Object, Parameter<?, ?>, TrackParameters) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel
Add parameter to this panel.
addParameter(Object, Parameter<?, ?>, TrackParameters) - Method in interface de.lmu.ifi.dbs.elki.gui.configurator.ParameterConfigurator
 
addParameter(Parameter<?, ?>, String, BitSet, int) - Method in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
Add a single parameter to the list
addParameter(OptionID, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization
Add a parameter to the parameter list
addProgress(Progress) - Method in class de.lmu.ifi.dbs.elki.logging.progress.ProgressTracker
Add a new Progress to the tracker.
addProgressBar(JProgressBar) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel
Add a new progress bar.
addQuotedString(Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Add a string in quotes.
addRelation(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.database.ProxyDatabase
Add a new representation.
addResultListener(ResultListener) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy
Register a result listener.
addResultListener(ResultListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
Register a result listener.
addResults(int) - Method in class de.lmu.ifi.dbs.elki.utilities.QueryStatistic
Adds the specified number to the number of the result objects.
addRotation(int, int, double) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Apply a rotation to the generator
addRotation(int, int, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Convenience function to apply a rotation in 2 dimensions.
addScaling(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Simple linear (symmetric) scaling.
addSeparator() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Add a separator
addToList(List<O>, O[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util
Adds the entries of the specified array to the end of the given list.
addTranslation(Vector) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Add a translation to the generator
addTranslation(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Add a translation operation to the matrix
addTrueHits(int) - Method in class de.lmu.ifi.dbs.elki.utilities.QueryStatistic
Adds the specified number to the number of the true hits.
addUpdateRunner(UpdateRunner) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer
 
addUpdateRunner(UpdateRunner) - Method in interface de.lmu.ifi.dbs.elki.visualization.svg.UpdateSynchronizer
Set an update runner to use.
adjust - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Holds the value of CASH.ADJUST_ID.
adjust - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer
 
adjust(Matrix, Matrix, Matrix, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Instance
Inserts the specified vector into the given orthonormal matrix v at column corrDim.
ADJUST_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Flag to indicate that an adjustment of the applied heuristic for choosing an interval is performed after an interval is selected.
adjustApproximatedKNNDistances(MkAppEntry<D>, Map<DBID, KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
Adjusts the knn distance in the subtree of the specified root entry.
adjustApproximatedKNNDistances(MkCoPEntry<D>, Map<DBID, KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Adjusts the knn distance in the subtree of the specified root entry.
adjustEntry(E, DBID, D, AbstractMTree<O, D, N, E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode
Adjusts the parameters of the entry representing this node (e.g. after insertion of new objects).
adjustEntry(MkAppEntry<D>, DBID, D, AbstractMTree<O, D, MkAppTreeNode<O, D>, MkAppEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
Adjusts the parameters of the entry representing this node.
adjustEntry(MkCoPEntry<D>, DBID, D, AbstractMTree<O, D, MkCoPTreeNode<O, D>, MkCoPEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
 
adjustEntry(MkMaxEntry<D>, DBID, D, AbstractMTree<O, D, MkMaxTreeNode<O, D>, MkMaxEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode
Calls the super method and adjust additionally the k-nearest neighbor distance of this node as the maximum of the k-nearest neighbor distances of all its entries.
adjustEntry(MkTabEntry<D>, DBID, D, AbstractMTree<O, D, MkTabTreeNode<O, D>, MkTabEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode
 
adjustEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Adjusts the parameters of the entry representing this node.
adjustEntry(DeLiCluEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode
 
adjustEntryIncremental(E, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Adjusts the parameters of the entry representing this node.
adjustTree(IndexTreePath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
Adjusts the tree after insertion of some nodes.
adjustTree(IndexTreePath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Adjusts the tree after insertion of some nodes.
advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorMerge
Advance iterator and return next pair.
advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorNoise
Advance iterator and return new pair.
advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorSingleCluster
Advance iterator
advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGenerator
Main advance method.
affineDistance - Variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.SubspaceDistance
The affine distance.
AffineProjection - Class in de.lmu.ifi.dbs.elki.visualization.projections
Affine projections are the most general class.
AffineProjection(LinearScale[], AffineTransformation) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
Constructor with a given database and axes.
AffineTransformation - Class in de.lmu.ifi.dbs.elki.math.linearalgebra
Affine transformations implemented using homogeneous coordinates.
AffineTransformation(int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Constructor for an identity transformation.
AffineTransformation(int, Matrix, Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Trivial constructor with all fields, mostly for cloning
Afinal - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction
Sigmoid parameter
AggarwalYuEvolutionary<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
EAFOD provides the evolutionary outlier detection algorithm, an algorithm to detect outliers for high dimensional data.
AggarwalYuEvolutionary(int, int, int, Long) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary
Constructor.
AggarwalYuEvolutionary.EvolutionarySearch - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
The inner class to handle the actual evolutionary computation.
AggarwalYuEvolutionary.EvolutionarySearch(Relation<V>, ArrayList<ArrayList<DBIDs>>, int, Long) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch
Constructor.
AggarwalYuEvolutionary.Individuum - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Individuum for the evolutionary search.
AggarwalYuEvolutionary.Individuum(double, int[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Individuum
Constructor
AggarwalYuEvolutionary.Parameterizer<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Parameterization class.
AggarwalYuEvolutionary.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Parameterizer
 
AggarwalYuNaive<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
BruteForce provides a naive brute force algorithm in which all k-subsets of dimensions are examined and calculates the sparsity coefficient to find outliers.
AggarwalYuNaive(int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuNaive
Constructor.
AggarwalYuNaive.Parameterizer<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Parameterization class.
AggarwalYuNaive.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuNaive.Parameterizer
 
aggregate(T, D) - Method in class de.lmu.ifi.dbs.elki.math.AggregatingHistogram.Adapter
Update an existing histogram value with new data.
aggregate(double, D) - Method in class de.lmu.ifi.dbs.elki.math.AggregatingHistogram
Add a value to the histogram using the aggregation adapter.
aggregate(double, D) - Method in class de.lmu.ifi.dbs.elki.math.FlexiHistogram
 
AggregatingHistogram<T,D> - Class in de.lmu.ifi.dbs.elki.math
Class for the typical case of an aggregating (e.g. counting, averaging) Histogram.
AggregatingHistogram(int, double, double, AggregatingHistogram.Adapter<T, D>) - Constructor for class de.lmu.ifi.dbs.elki.math.AggregatingHistogram
Constructor with Adapter.
AggregatingHistogram.Adapter<T,D> - Class in de.lmu.ifi.dbs.elki.math
Adapter class for an AggregatingHistogram
AggregatingHistogram.Adapter() - Constructor for class de.lmu.ifi.dbs.elki.math.AggregatingHistogram.Adapter
 
algC - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer
 
algO - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer
 
Algorithm - Interface in de.lmu.ifi.dbs.elki.algorithm
Specifies the requirements for any algorithm that is to be executable by the main class.
algorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm
Holds the algorithm to run.
algorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm.Parameterizer
Holds the algorithm to run.
ALGORITHM - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID
OptionID for AlgorithmStep
algorithms - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel
The data input configured
algorithms - Variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep
Holds the algorithm to run.
algorithms - Variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer
Holds the algorithm to run.
algorithmStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask
The algorithm (data mining) step.
algorithmStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer
 
AlgorithmStep - Class in de.lmu.ifi.dbs.elki.workflow
The "algorithms" step, where data is analyzed.
AlgorithmStep(List<Algorithm>) - Constructor for class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep
Constructor.
AlgorithmStep.Parameterizer - Class in de.lmu.ifi.dbs.elki.workflow
Parameterization class.
AlgorithmStep.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer
 
AlgorithmTabPanel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels
Panel to handle data processing
AlgorithmTabPanel(InputTabPanel) - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel
Constructor.
algs - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel
Algorithm step to run on.
algTab - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI
 
alignColumns(ObjectBundle) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
Find a mapping from package columns to database columns, eventually adding new database columns when needed.
alignColumns(ObjectBundle) - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase
Find a mapping from package columns to database columns, eventually adding new database columns when needed.
AllOrNoneMustBeSetGlobalConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints
Global parameter constraint specifying that either all elements of a list of parameters ( Parameter) must be set, or none of them.
AllOrNoneMustBeSetGlobalConstraint(List<Parameter<?, ?>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.AllOrNoneMustBeSetGlobalConstraint
Constructs a global parameter constraint for testing if either all elements of a list of parameters are set or none of them.
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory
Test whether to do a thumbnail or a full rendering.
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization.Factory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Factory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Factory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer.Factory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Factory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.P1DHistogramVisualizer.Factory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AxisVisualization.Factory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.ClusterEvaluationVisFactory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.CurveVisFactory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisFactory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisFactory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisFactory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Factory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisFactory
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Factory
 
almostEquals(Object, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Compare two matrices with a delta parameter to take numerical errors into account.
almostEquals(Object) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Compare two matrices with a delta parameter to take numerical errors into account.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
Holds the value of ORCLUS.ALPHA_ID.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Parameterizer
 
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
Holds the value of LOCI.ALPHA_ID.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI.Parameterizer
 
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD
Holds the value of SOD.ALPHA_ID.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD.Parameterizer
Holds the value of SOD.ALPHA_ID.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm
Parameter Alpha - significance niveau
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm.Parameterizer
Parameter Alpha - significance niveau
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC
Parameter alpha: Attribute difference exponent
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer
Parameter alpha: scaling
alpha - Variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite
Alpha (opacity) value.
alpha - Variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext
Opacity factor
alpha - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex
Holds the value of parameter alpha.
alpha - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory
Holds the value of parameter HiSCPreferenceVectorIndex.Factory.ALPHA_ID.
alpha - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory.Parameterizer
Holds the value of parameter HiSCPreferenceVectorIndex.Factory.ALPHA_ID.
alpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Working space for alphas
alpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter
The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.
alpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter.Parameterizer
The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.
alpha - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction
Mixing parameter alpha
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO
The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
Parameter to specify the factor for reducing the number of current clusters in each iteration, must be an integer greater than 0 and less than 1.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
Parameter to specify the averaging neighborhood scaling.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD
Parameter to indicate the multiplier for the discriminance value for discerning small from large variances.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm.Parameterizer
Holds the alpha value - significance niveau
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer
Parameter to specify alpha
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory
The maximum absolute variance along a coordinate axis.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter
The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.
alphaExtremum - Variable in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction
Holds the alpha values of the global extremum.
AlternativeTypeInformation - Class in de.lmu.ifi.dbs.elki.data.type
Class that combines multiple type restrictions into one using the "or" operator.
AlternativeTypeInformation(TypeInformation...) - Constructor for class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation
Constructor.
angle(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractCosineDistanceFunction
Compute the angle between two vectors.
angleSparse(SparseNumberVector<?, ?>, SparseNumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractCosineDistanceFunction
Compute the angle for sparse vectors.
ANY - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Input type for algorithms that accept anything
AnyMap<K> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures
Associative storage based on a HashMap for multiple object types that offers a type checked AnyMap.get(Object, Class) method.
AnyMap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.AnyMap
Constructor
APIViolationException - Exception in de.lmu.ifi.dbs.elki.utilities.exceptions
This class indicates an exception likely caused by an API not implemented correctly.
APIViolationException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.APIViolationException
Constructor.
APIViolationException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.APIViolationException
Constructor.
append(double) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Append double
append(int) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Append integer
append(double[]) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Append double array
append(int[]) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Append integer array
append(SimpleTypeInformation<?>, Object) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle
Append a single representation to the object.
append(String, double...) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Append an action to the current path.
appendClassRestriction(Document, Class<?>, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
appendColumn(SimpleTypeInformation<?>, List<?>) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle
Helper to add a single column to the bundle.
appendColumns(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Returns a matrix which consists of this matrix and the specified columns.
appendCSSDefinition(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass
Append CSS definition to a stream
appendDefaultClassLink(Document, Parameter<?, ?>, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
appendDefaultValueIfSet(Document, Parameter<?, ?>, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
Append string containing the default value.
appendKeyArray(Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Append a key an start a new array
appendKeyHash(Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Append a key an start a new hash
appendKeyValue(Object, Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Append a key-value pair as string.
appendKnownImplementationsIfNonempty(Document, ClassParameter<?>, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
appendMultilineText(Document, Element, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.xml.HTMLUtil
Append a multiline text to a node, transforming linewraps into BR tags.
appendNewline() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Append a newline, for human readability
appendNoClassRestriction(Document, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
appendNoDefaultValue(Document, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
Append string that there is not default value.
appendPageFileStatistics(StringBuffer, PageFileStatistics) - Static method in class de.lmu.ifi.dbs.elki.persistent.PageFileUtil
Append the page file statistics to the output buffer.
appendParameterization(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization
Append a new Parameterization to the chain.
appendParameters(ListParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator
 
appendParameters(ListParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator
 
appendParameters(ListParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator
 
appendParameters(ListParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel
 
appendParameters(ListParameterization) - Method in interface de.lmu.ifi.dbs.elki.gui.configurator.ParameterConfigurator
 
appendParameters(ListParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel
Collect parameters
appendSimple(Object...) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle
Append a new record to the data set.
appendString(Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Append a string in quotes
appendToBuffer(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon
Append the polygon to the buffer.
appendToBuffer(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject
Append polygons to the buffer.
appendToBuffer(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress
Serialize a description into a String buffer.
appendToBuffer(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress
Append a string representation of the progress to the given string buffer.
appendToBuffer(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress
Serialize 'indefinite' progress.
appendToBuffer(StringBuffer) - Method in interface de.lmu.ifi.dbs.elki.logging.progress.Progress
Serialize a description into a String buffer.
appendToBuffer(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.logging.progress.StepProgress
 
apply(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Apply the transformation onto a vector
applyInverse(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Apply the inverse transformation onto a vector
applyRelative(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Apply the transformation onto a vector
applyRelativeInverse(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Apply the inverse transformation onto a vector
approximateBinomialCoefficient(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Binomial coefficent, also known as "n choose k")
approximateConservativeKnnDistance(int, DistanceQuery<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry
Returns the conservative approximated knn distance of the entry.
approximateConservativeKnnDistance(int, DistanceQuery<O, D>) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPEntry
Returns the conservative approximated knn distance of the entry.
approximateConservativeKnnDistance(int, DistanceQuery<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
Returns the conservative approximated knn distance of the entry.
approximatedValueAt(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry
Returns the approximated value at the specified k.
approximatedValueAt(int) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppEntry
Returns the approximated value at the specified k.
approximatedValueAt(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry
Returns the approximated value at the specified k.
approximateFactorial(int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Compute the Factorial of n, often written as c!
approximateKnnDistances(List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
Computes the polynomial approximation of the specified knn-distances.
approximateKnnDistances(MkCoPLeafEntry<D>, KNNList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Computes logarithmic skew (fractal dimension ie. m) and in kappx[0] and kappx[1] the non-logarithmic values of the approximated first and last nearest neighbor distances
ApproximateLeastOverlapInsertionStrategy - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util
Insertion strategy that exhaustively tests all childs for the least overlap when inserting.
ApproximateLeastOverlapInsertionStrategy(int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.ApproximateLeastOverlapInsertionStrategy
Constructor. s
ApproximateLeastOverlapInsertionStrategy.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util
Parameterization class.
ApproximateLeastOverlapInsertionStrategy.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.ApproximateLeastOverlapInsertionStrategy.Parameterizer
 
approximateLowerHull(ConvexHull, double[], double, double, double[], double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Approximates the lower hull.
approximatelyLinearDependent(PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction
Returns true, if the strong eigenvectors of the two specified pcas span up the same space.
approximateProgressiveKnnDistance(int, DistanceQuery<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
Returns the progressive approximated knn distance of the entry.
approximateUpperHull(ConvexHull, double[], double[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
 
approximateUpperHull_OLD(ConvexHull, double[], double, double, double[], double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
 
approximateUpperHull_PAPER(ConvexHull, double[], double, double, double[], double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
 
approximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry
The polynomial approximation.
approximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry
The polynomial approximation.
ApproximationLine - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop
Provides an approximation for knn-distances line consisting of incline m, axes intercept t and a start value for k.
ApproximationLine() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine
Empty constructor for serialization purposes.
ApproximationLine(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine
Provides an approximation for knn-distances line consisting of incline m, axes intercept t and a start value for k.
APRIORI - Class in de.lmu.ifi.dbs.elki.algorithm
Provides the APRIORI algorithm for Mining Association Rules.
APRIORI(double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.APRIORI
Constructor with minimum frequency.
APRIORI(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.APRIORI
Constructor with minimum support.
APRIORI.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm
Parameterization class.
APRIORI.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.APRIORI.Parameterizer
 
AprioriResult - Class in de.lmu.ifi.dbs.elki.result
Result class for Apriori Algorithm.
AprioriResult(String, String, List<BitSet>, Map<BitSet, Integer>) - Constructor for class de.lmu.ifi.dbs.elki.result.AprioriResult
Constructor.
ArcCosineDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Cosine distance function for feature vectors.
ArcCosineDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction
Deprecated. Use static instance!
ArcCosineDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Parameterization class.
ArcCosineDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction.Parameterizer
 
areas - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.SteepAreaResult
Storage
areas - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
Our clustering
ARFF_COMMENT - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
Comment pattern.
ARFF_HEADER_ATTRIBUTE - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
Arff attribute declaration marker
ARFF_HEADER_DATA - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
Arff data marker
ARFF_HEADER_RELATION - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
Arff file marker
ARFF_NUMERIC - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
Pattern for numeric columns
ArffParser - Class in de.lmu.ifi.dbs.elki.datasource.parser
Parser to load WEKA .arff files into ELKI.
ArffParser(Pattern, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
Constructor.
ArffParser(String, String) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
Constructor.
ArffParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser
Parameterization class.
ArffParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser.Parameterizer
 
Arithmetic<N extends Number> - Interface in de.lmu.ifi.dbs.elki.data
An interface to define requirements for a number to perform arithmetic operations.
arrange() - Method in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramProjector
 
arrange() - Method in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjector
 
arrange() - Method in interface de.lmu.ifi.dbs.elki.visualization.projector.Projector
Produce an arrangement of projections.
arrange() - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector
 
arrangeVisualizations() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Recompute the layout of visualizations.
array(TypeInformation...) - Static method in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Make a type array easily.
array - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix
Data storage
ArrayDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids
Interface for array based DBIDs.
arrayFind(String[], Object) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util
Search an (unsorted) array linearly for an object.
ArrayModifiableDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids
Array-oriented implementation of a modifiable DBID collection.
ArrayRecordStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory
A class to answer representation queries using the stored Array.
ArrayRecordStore(Object[][], DataStoreIDMap) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore
Constructor with existing data
ArrayRecordStore.StorageAccessor<T> - Class in de.lmu.ifi.dbs.elki.database.datastore.memory
Access a single record in the given data.
ArrayRecordStore.StorageAccessor(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
Constructor.
arraysize(int) - Static method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix
Compute the size of the needed backing array from the matrix dimensions.
ArrayStaticDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids
Unmodifiable, indexed DBIDs.
ArrayStore<T> - Class in de.lmu.ifi.dbs.elki.database.datastore.memory
A class to answer representation queries using the stored Array.
ArrayStore(Object[], DataStoreIDMap) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore
Constructor.
asArray() - Method in class de.lmu.ifi.dbs.elki.math.MinMax
Return minimum and maximum as array.
asBigInteger(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurve.Transformer
Transform a single vector.
asByteArray(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurve.Transformer
Transform a single vector.
asByteArray() - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader
 
asByteArray() - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader
Return the header as byte array
ascending - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore
Factor for ascending (+1) and descending (-1) ordering.
ascending - Variable in class de.lmu.ifi.dbs.elki.result.outlier.OrderingFromRelation
Factor for ascending (+1) and descending (-1) ordering.
asCollection() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs
Retrieve collection access to the IDs
asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
 
asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericArrayModifiableDBIDs
 
asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericHashSetModifiableDBIDs
 
asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericTreeSetModifiableDBIDs
 
asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs
 
asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MergedDBIDs
 
asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs
 
asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayStaticDBIDs
 
asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
 
asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange
 
asCollection() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList.DBIDView
 
asDBIDs() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList
View as ArrayDBIDs
asDBIDs(List<? extends DistanceResultPair<?>>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList
View as ArrayDBIDs
asDistanceList() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList
View as list of distances
asDistanceList(List<? extends DistanceResultPair<D>>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList
View as list of distances
asDoubleArray() - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax
Return minimum and maximum as array.
aspectRatioLock - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
 
assertConfigured() - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration
Assert that logging was configured.
assertConsistent() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger
 
assign(Relation<V>, DistanceQuery<V, DoubleDistance>, List<ORCLUS<V>.ORCLUSCluster>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
Creates a partitioning of the database by assigning each object to its closest seed.
assign(HashMap<String, ModifiableDBIDs>, String, DBID) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
Assigns the specified id to the labelMap according to its label
assigned - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
Flag that indicates if this unit is already assigned to a cluster.
Assignments<D extends Distance<D>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split
Encapsulates the attributes of an assignment during a split.
Assignments(DBID, DBID, D, D, Set<E>, Set<E>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.Assignments
Provides an assignment during a split of an MTree node.
assignments - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MTreeSplit
Encapsulates the two promotion objects and their assignments.
assignNN(Set<E>, Set<E>, List<DistanceEntry<D, E>>, D, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MTreeSplit
Assigns the first object of the specified list to the first assignment that it is not yet assigned to the second assignment.
assignPoints(Map<DBID, Set<Integer>>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Assigns the objects to the clusters.
assignProbabilitiesToInstances(Relation<V>, List<Double>, List<V>, List<Matrix>, List<Double>, WritableDataStore<double[]>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM
Assigns the current probability values to the instances in the database and compute the expectation value of the current mixture of distributions.
asString() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ListParameter
Returns a string representation of this list parameter.
assumeVectorField(Relation<V>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil
Get the dimensionality of a database
atmean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
Score at the mean, for cut-off.
attribute - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.AttributeModifier
The name of the attribute to be modified.
ATTRIBUTE_CONCATENATION - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser
A sign to separate attributes.
ATTRIBUTE_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.data.AbstractNumberVector
The String to separate attribute values in a String that represents the values.
AttributeModifier - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
Runnable wrapper for modifying XML-Attributes.
AttributeModifier(Element, String, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.AttributeModifier
Trivial constructor.
AttributeWiseErfNormalization<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Attribute-wise Normalization using the error function.
AttributeWiseErfNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseErfNormalization
Constructor.
AttributeWiseMinMaxNormalization<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Class to perform and undo a normalization on real vectors with respect to given minimum and maximum in each dimension.
AttributeWiseMinMaxNormalization(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseMinMaxNormalization
Constructor.
AttributeWiseMinMaxNormalization.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Parameterization class.
AttributeWiseMinMaxNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseMinMaxNormalization.Parameterizer
 
AttributeWiseVarianceNormalization<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Class to perform and undo a normalization on real vectors with respect to given mean and standard deviation in each dimension.
AttributeWiseVarianceNormalization(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseVarianceNormalization
Constructor.
AttributeWiseVarianceNormalization.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Parameterization class.
AttributeWiseVarianceNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseVarianceNormalization.Parameterizer
 
auc - Variable in class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve.ROCResult
AUC value
automagic_format - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog
Automagic file format
autoopen - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler
Automatically open at the end
autoopen - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer
Automatically open at the end
AUTOOPEN_ID - Static variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer
Parameter for automatically opening the output file.
AVERAGE - Static variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite
"Average" blending.
avgDistance(V, DBIDs, Relation<V>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Computes the average distance of the objects to the centroid along the specified dimension.
axes - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
The distribution generators for each axis
AXIS - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
Axis
AXIS_LABEL - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
Axis label
AXIS_TICK - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
Axis tick
AXIS_TICK_MINOR - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
Axis minor tick
AxisBasedReferencePoints<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints
Strategy to pick reference points by placing them on the axis ends.
AxisBasedReferencePoints(double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.AxisBasedReferencePoints
Constructor.
AxisBasedReferencePoints.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints
Parameterization class.
AxisBasedReferencePoints.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.AxisBasedReferencePoints.Parameterizer
 
axisProjection(int, int, int) - Static method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
Compute an transformation matrix to show only axis ax1 and ax2.
AxisVisualization<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d
Generates a SVG-Element containing axes, including labeling.
AxisVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AxisVisualization
Constructor.
AxisVisualization.Factory<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d
Factory for axis visualizations
AxisVisualization.Factory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AxisVisualization.Factory
Constructor, adhering to Parameterizable

Release 0.4.0 (2011-09-20_1324)
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