Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

R

ralpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter
The noise tolerance level for weak eigenvectors
RALPHA_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter
Parameter relative alpha.
random - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution
The random generator.
random - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.UniformDistribution
The random generator.
random - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Random generator (used for initializing random generators)
random(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Generate matrix with random elements
random - Variable in class de.lmu.ifi.dbs.elki.parser.meta.RandomProjectionParser
Holds a random object.
RANDOM_SAMPLE_FLAG - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator
Flag to use random sample (use knn query around centroid, if flag is not set).
randomBitSet(int, int, Random) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util
Creates a new BitSet of fixed cardinality with randomly set bits.
randomInstance(Random) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
Returns a BitVector with random values.
randomInstance(Bit, Bit, Random) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
Returns the same as randomInstance(random).
randomInstance(BitVector, BitVector, Random) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
Returns the same as randomInstance(random).
randomInstance(Random) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
Returns a new DoubleVector with random values between 0 and 1.
randomInstance(Double, Double, Random) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
 
randomInstance(DoubleVector, DoubleVector, Random) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
 
randomInstance(Random) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector
Returns a FeatureVector of V with uniformly distributed (0-1) random values.
randomInstance(N, N, Random) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector
Returns a FeatureVector of V with random values between min and max.
randomInstance(V, V, Random) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector
Returns a FeatureVector of V with random values between min and max.
randomInstance(Random) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
 
randomInstance(Float, Float, Random) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
 
randomInstance(FloatVector, FloatVector, Random) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
 
randomInstance(Random) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
randomInstance(Float, Float, Random) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
randomInstance(SparseFloatVector, SparseFloatVector, Random) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
randomNormalizedVector(int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
Returns a randomly created vector of length 1.0
RandomProjectionParser<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.parser.meta
A RandomProjectionParser selects a subset of attributes randomly for projection of a ParsingResult.
RandomProjectionParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.meta.RandomProjectionParser
Adds the parameter RandomProjectionParser.NUMBER_SELECTED_ATTRIBUTES_PARAM.
randomSample(int, long) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
 
randomSample(int, long) - Method in interface de.lmu.ifi.dbs.elki.database.Database
Returns a random sample of k ids.
RANDOMSEED_ID - Static variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec
OptionID for GeneratorXMLSpec.RANDOMSEED_PARAM
RANDOMSEED_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec
Parameter to give the configuration file
rangeQuery(Integer, String, DistanceFunction<O, D>) - Method in interface de.lmu.ifi.dbs.elki.database.Database
Performs a range query for the given object ID with the given epsilon range and the according distance function.
rangeQuery(Integer, String, DistanceFunction<O, T>) - Method in class de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase
 
rangeQuery(Integer, String, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.database.SequentialDatabase
 
rangeQuery(Integer, String, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.database.SpatialIndexDatabase
 
rangeQuery(O, String) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.MetricalIndex
Performs a range query for the given object with the given epsilon range and the according distance function.
rangeQuery(O, String) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
 
rangeQuery(O, String, SpatialDistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Performs a range query for the given spatial object with the given epsilon range and the according distance function.
rangeQuery(O, String, SpatialDistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex
Performs a range query for the given object with the given epsilon range and the according distance function.
RangeQueryBasedHiCOPreprocessor<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.preprocessing
Computes the HiCO correlation dimension of objects of a certain database.
RangeQueryBasedHiCOPreprocessor() - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor
Provides a new Preprocessor that computes the correlation dimension of objects of a certain database based on a range query.
rangeQueryDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor
The distance function for the variance analysis.
rank - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
The rank of the coefficient matrix.
rank() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Matrix rank
rank() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition
Effective numerical matrix rank
RANKING_LIST - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID
The association id to associate a set of neighbors for use of the shared nearest neighbor similarity function.
RankingQualityHistogram<V extends RealVector<V,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
Evaluate a distance function with respect to kNN queries.
RankingQualityHistogram() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram
Empty constructor.
ratio - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
 
ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow
 
ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
Ratio for easier size adjustment
RationalNumber - Class in de.lmu.ifi.dbs.elki.data
RationalNumber represents rational numbers in arbitrary precision.
RationalNumber(BigInteger, BigInteger) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber
Constructs a RationalNumber for a given numerator and denominator.
RationalNumber(long, long) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber
Constructs a RationalNumber for a given numerator and denominator.
RationalNumber(Double) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber
Constructs a RationalNumber out of the given double number.
RationalNumber(String) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber
Constructs a RationalNumber for a given String representing a double.
Rdiag - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition
Array for internal storage of diagonal of R.
RdKNNDirectoryEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn
Represents an entry in a directory node of an RdKNN-Tree.
RdKNNDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry
Empty constructor for serialization purposes.
RdKNNDirectoryEntry(int, HyperBoundingBox, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry
Constructs a new RDkNNDirectoryEntry object with the given parameters.
RdKNNEntry<D extends NumberDistance<D,N>,N extends Number> - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn
Defines the requirements for an entry in an RdKNN-Tree node.
RdKNNLeafEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn
Represents an entry in a leaf node of an RdKNN-Tree.
RdKNNLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry
Empty constructor for serialization purposes.
RdKNNLeafEntry(int, double[], D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry
Constructs a new RDkNNLeafEntry object with the given parameters.
RdKNNNode<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn
Represents a node in a RDkNN-Tree.
RdKNNNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode
Empty constructor for Externalizable interface.
RdKNNNode(PageFile<RdKNNNode<D, N>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode
Creates a new RdKNNNode object.
RdKNNTree<O extends NumberVector<O,?>,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn
RDkNNTree is a spatial index structure based on the concepts of the R*-Tree supporting efficient processing of reverse k nearest neighbor queries.
RdKNNTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
Creates a new DeLiClu-Tree.
RdKNNTreeHeader - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn
Encapsulates the header information of a RDkNN-Tree.
RdKNNTreeHeader() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader
Empty constructor for serialization.
RdKNNTreeHeader(int, int, int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader
Creates a new header with the specified parameters.
reachability - Variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderEntry
The reachability of the entry.
REACHABILITY_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF
OptionID for LOF.REACHABILITY_DISTANCE_FUNCTION_PARAM
REACHABILITY_DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF
The distance function to determine the reachability distance between database objects.
reachabilityDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF
Holds the instance of the reachability distance function specified by LOF.REACHABILITY_DISTANCE_FUNCTION_PARAM.
read(BufferedReader) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Read a matrix from a stream.
readAccess - Variable in class de.lmu.ifi.dbs.elki.persistent.PageFile
The read I/O-Access of this file.
readDouble(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil
Read a double from the byte array at the given offset.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.BitDistance
Reads the bit value of this BitDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance
Reads the correlation value and the euclidean value of this CorrelationDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.DoubleDistance
Reads the double value of this DoubleDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.FloatDistance
Reads the float value of this FloatDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.IntegerDistance
Reads the integer value of this IntegerDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance
Calls CorrelationDistance.readExternal(java.io.ObjectInput) and reads additionally the dimensionality and each Byte of the common preference vector from the specified stream..
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance
Reads the subspace distance value and the affine distance value of this SubspaceDistance from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractEntry
Restores the id of the object (node or data object) that is represented by this entry from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
Reads the id of this node, the numEntries and the entries array from the specified stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry
Calls the super method and reads the the polynomial approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry
Calls the super method and reads the the polynomial approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation
The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine
The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry
Calls the super method and reads the the conservative approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
Calls the super method and reads the the conservative and progressive approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry
Calls the super method and reads the knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry
Calls the super method and reads the knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry
Calls the super method and reads the parameter k_max and knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry
Calls the super method and reads the parameter k_max and knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry
Calls the super method and reads the routingObjectID, the parentDistance and the coveringRadius of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry
Calls the super method and reads the parentDistance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry
Calls the super method and reads the knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry
Calls the super method and reads the knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry
Calls the super method and reads the MBR object of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialLeafEntry
Calls the super method and reads the values of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPage
The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.Deap
The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultIdentifiable
The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox
The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExtraHeader() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Read the extra header data.
readFloat(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil
Read a float from the byte array at the given offset.
readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader
Initializes this header from the specified file.
readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader
Initializes this header from the specified file.
readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader
Initializes this header from the specified file.
readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader
Initializes this header from the specified file.
readHeader(byte[]) - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader
Initializes this header from the given Byte array.
readHeader(RandomAccessFile) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader
Initializes this header from the specified file.
readHeader(byte[]) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader
Initializes this header from the specified file.
readInt(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil
Read an integer from the byte array at the given offset.
readLong(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil
Read a long from the byte array at the given offset.
readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile
Reads the page with the given id from this file.
readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
Reads the page with the given id from this file.
readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PageFile
Reads the page with the given id from this file.
readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile
Reads the page with the given id from this file.
readRecord(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Read a single record from the file.
readRecord(int, int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix
Get data from the matrix
readResolve() - Method in class de.lmu.ifi.dbs.elki.utilities.ConstantObject
Method for use by the serialization mechanism to ensure identity of ConstantObjects.
readShort(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil
Read a short from the byte array at the given offset.
readUnsignedShort(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil
Read an unsigned short from the byte array at the given offset.
RealVector<V extends RealVector<V,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.data
RealVector is an abstract super class for all feature vectors having real numbers as values.
RealVector() - Constructor for class de.lmu.ifi.dbs.elki.data.RealVector
 
RealVectorLabelParser<V extends RealVector<?,?>> - Class in de.lmu.ifi.dbs.elki.parser
Provides a parser for parsing one point per line, attributes separated by whitespace.
RealVectorLabelParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser
Provides a parser for parsing one point per line, attributes separated by whitespace.
recordsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Size of the records in the file.
reducedRowEchelonForm - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
Indicates if linear equation system is in reduced row echelon form.
reducedRowEchelonForm(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
Brings this linear equation system into reduced row echelon form with choice of pivot method.
reference - Variable in class de.lmu.ifi.dbs.elki.utilities.Description
A reference how to cite an algorithm.
reInsert(N, int, TreeIndexPath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Reinserts the specified node at the specified level.
reinsertExpanded(SpatialDistanceFunction<O, D>, DeLiCluTree<O>, List<TreeIndexPathComponent<DeLiCluEntry>>, AnnotationResult<KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu
Reinserts the objects of the already expanded nodes.
reinsertExpanded(SpatialDistanceFunction<O, D>, DeLiCluTree<O>, List<TreeIndexPathComponent<DeLiCluEntry>>, int, SpatialEntry, AnnotationResult<KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu
 
reinsertions - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Contains a boolean for each level of this R*-Tree that indicates if there was already a reinsert operation in this level during the current insert / delete operation.
RelativeEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
The RelativeEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs who are a certain factor above the average of the remaining eigenvalues.
RelativeEigenPairFilter() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter
Provides a new EigenPairFilter that sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as string eigenpairs.
remainingParameters - Variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication
The remaining parameters after the option handler grabbed the options for this application.
rememberParametersExcept(List<String>, List<String>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
Sets the difference of the first array minus the second array as the currently set parameter array.
remove() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DistanceResultAdapter
 
remove() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.SimpleAdapter
 
remove() - Method in class de.lmu.ifi.dbs.elki.math.Histogram.Iter
 
remove(int) - Method in interface de.lmu.ifi.dbs.elki.persistent.Cache
Removes an object from this cache.
remove(int) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache
Removes a page from this cache.
remove() - Method in class de.lmu.ifi.dbs.elki.properties.IterateKnownImplementations
Removals are not supported by this iterator.
remove(K, V) - Method in class de.lmu.ifi.dbs.elki.utilities.HashMapList
Remove a single value from the map.
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator
 
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.JarClassIterator
 
remove(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionHandler
Removes the given option from the OptionHandler's parameter map.
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeIterator
Removal: unsupported operation.
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator
Removal: unsupported operation.
removeClass(CSSClass) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager
Remove a single CSS class from the map.
RemoveCSSClass - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
Remove a CSS class to the event target.
RemoveCSSClass(String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.RemoveCSSClass
Constructor
removeCSSClass(Element, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil
Remove a CSS class from an Element.
removeDatabaseListener(DatabaseListener) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
Removes a listener previously added with addTreeModelListener.
removeDatabaseListener(DatabaseListener) - Method in interface de.lmu.ifi.dbs.elki.database.Database
Removes a listener previously added with addTreeModelListener.
removeIDs(Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
Removes the specified ids from this interval.
removeMin() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap
Removes and returns the minimum node from this heap and restores the heap.
removeOption(Option<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
Deletes the given Option from the set of Options known to this Parameterizable.
removeParameterizable(Parameterizable) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
Remove a parameterizable from the list.
removeStatement(String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass
Remove a CSS statement.
reorderAxesTransformation(int, int[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Generate a transformation that reorders axes in the given way.
representations - Variable in class de.lmu.ifi.dbs.elki.data.MultiRepresentedObject
Holds the different representations of this object.
RepresentationSelectingDistanceFunction<O extends DatabaseObject,M extends MultiRepresentedObject<O>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Distance function for multirepresented objects that selects one representation and computes the distances only within the selected representation.
RepresentationSelectingDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction
Provides a Distance function for multirepresented objects that selects one representation and computes the distances only within the selected representation.
requiredInputPattern() - Method in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction
 
requiredInputPattern() - Method in interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction
Returns a String as description of the required input format.
res - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale
Scale resolution
reset() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter
Resets the value of the parameter to null.
resetIOAccess() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap
Resets the I/O-Access of this heap.
resetPageAccess() - Method in class de.lmu.ifi.dbs.elki.database.IndexDatabase
Resets the page -access of this database.
resetPageAccess() - Method in interface de.lmu.ifi.dbs.elki.index.Index
Resets the three counters for page access, i.e., the counters for physical read and write access, and the counter for logical page access.
resetPageAccess() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex
 
resetPageAccess() - Method in interface de.lmu.ifi.dbs.elki.persistent.Cache
Resets the pages access of this cache.
resetPageAccess() - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache
Resets the pages access of this cache.
resetPageAccess() - Method in class de.lmu.ifi.dbs.elki.persistent.PageFile
Resets the counters for page accesses of this file and flushes the cache.
resetSizeButton - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
 
resizeFile(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Resize file to the intended size
resizeMatrix(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix
Resize the matrix to cover newsize x newsize.
restore(V) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization
 
restore(List<V>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization
 
restore(int, double) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization
 
restore(V) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization
 
restore(List<V>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization
 
restore(List<O>) - Method in class de.lmu.ifi.dbs.elki.normalization.DummyNormalization
 
restore(O) - Method in class de.lmu.ifi.dbs.elki.normalization.DummyNormalization
 
restore(List<MultiRepresentedObject<O>>) - Method in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization
Transforms a set of feature vectors to the original attribute ranges.
restore(MultiRepresentedObject<O>) - Method in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization
Transforms a feature vector to the original attribute ranges.
restore(List<O>) - Method in interface de.lmu.ifi.dbs.elki.normalization.Normalization
Transforms a set of feature vectores to the original attribute ranges.
restore(O) - Method in interface de.lmu.ifi.dbs.elki.normalization.Normalization
Transforms a feature vector to the original attribute ranges.
restoreID(Integer) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
Makes the given id reusable for new insertion operations.
restoreObject(String) - Method in interface de.lmu.ifi.dbs.elki.utilities.output.ObjectPrinter
Restores the object which is specified by the given String.
restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassListParameter
The restriction class for the list of class names.
restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter
The restriction class for this class parameter.
restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalDistanceFunctionPatternConstraint
Class parameter whose restriction class is used to check the validity of the pattern parameter.
restrictionString(Class<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter
Provides a description string listing all classes for the given superclass or interface as specified in the properties.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI
The result.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ByLabelClustering
Holds the result of the algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ByLabelHierarchicalClustering
Holds the result of the algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
The result.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC
Holds the result.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC
Holds the result.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN
Provides the result of the algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM
Keeps the result.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans
Keeps the result.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN
Provides the result of the algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK
Provides the result of the algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering
Provides the result of the algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
The result of the algorithm;
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
Holds the result;
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering
The result.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.TrivialAllInOne
Holds the result of the algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.TrivialAllNoise
Holds the result of the algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder
Holds the result.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin
The knn lists for each object.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances
 
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
Result storage.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
Provides the result of the algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF
Provides the result of the algorithm.
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
 
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality
 
result - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram
 
result - Variable in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve
Stores the result object.
result - Variable in class de.lmu.ifi.dbs.elki.KDDTask
Store the result.
Result - Interface in de.lmu.ifi.dbs.elki.result
Interface for all classes that are considered a result.
RESULT_HANDLER - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID
OptionID for KDDTask.RESULT_HANDLER_PARAM
RESULT_HANDLER_PARAM - Variable in class de.lmu.ifi.dbs.elki.KDDTask
Parameter to specify the result handler to be used, must extend ResultHandler.
resulthandler - Variable in class de.lmu.ifi.dbs.elki.KDDTask
Output handler.
ResultHandler<O extends DatabaseObject,R extends Result> - Interface in de.lmu.ifi.dbs.elki.result
Interface for any class that can handle results
resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN
Holds a list of clusters found.
resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN
Holds a list of clusters found.
resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering
Holds a list of clusters found.
ResultROCCurveVisualizer<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.visualization
Visualize a ROC curve.
ResultROCCurveVisualizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer
 
ResultROCCurveVisualizer.ROCWindow - Class in de.lmu.ifi.dbs.elki.visualization
 
ResultROCCurveVisualizer.ROCWindow(Iterable<Pair<Double, Double>>) - Constructor for class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow
 
results - Variable in class de.lmu.ifi.dbs.elki.result.MultiResult
Store the actual results
results - Variable in class de.lmu.ifi.dbs.elki.utilities.QueryStatistic
The overall number of the result objects after refinement plus the true hits.
resultsForPCA(Integer, Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor
Returns the ids of the objects and distances stored in the specified database to be considered within the PCA for the specified object id.
resultsForPCA(Integer, Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.KnnQueryBasedHiCOPreprocessor
 
resultsForPCA(Integer, Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor
 
ResultUtil - Class in de.lmu.ifi.dbs.elki.result
Utilities for handling result objects
ResultUtil() - Constructor for class de.lmu.ifi.dbs.elki.result.ResultUtil
 
ResultWriter<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.result
Result handler that feeds the data into a TextWriter
ResultWriter() - Constructor for class de.lmu.ifi.dbs.elki.result.ResultWriter
Constructor.
retries - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Retry count
retrieveBaseParsingresult(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.meta.MetaParser
Retrieves the ParsingResult of the base parser.
reusableIDs - Variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
Provides a list of reusable ids.
reverseEigenVectors(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs
Returns the last n sorted eigenvectors as a matrix.
reverseKNNQuery(Integer, int, DistanceFunction<O, D>) - Method in interface de.lmu.ifi.dbs.elki.database.Database
Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(Integer, int, DistanceFunction<O, T>) - Method in class de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase
 
reverseKNNQuery(Integer, int, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.database.SequentialDatabase
 
reverseKNNQuery(Integer, int, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.database.SpatialIndexDatabase
Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.MetricalIndex
Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
 
reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree
Throws an UnsupportedOperationException since reverse knn queries are not yet supported by an M-Tree.
reverseKNNQuery(O, int, SpatialDistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(O, int, SpatialDistanceFunction<O, T>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(O, int, SpatialDistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex
Performs a reverse k-nearest neighbor query for the given object ID.
rhs - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
The right hand side of the equation system.
rightChild - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
Holds the right child.
rightChild(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap
Return the index of the right child of of the node at index i, nullIndex if there is no such child.
rightChild(Deap<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap
Returns the right child of the specified deap in this heap.
rightNeighbor(CLIQUEUnit<V>, Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace
Returns the right neighbor of the given unit in the specified dimension.
rkNNStatistics - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Provides some statistics about performed reverse knn-queries.
rkNNStatistics - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
Provides some statistics about performed reverse knn-queries.
rmax - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
Holds the value of LOCI.RMAX_PARAM.
RMAX_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
OptionID for LOCI.RMAX_PARAM
RMAX_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.
ROC - Class in de.lmu.ifi.dbs.elki.evaluation.roc
Compute ROC (Receiver Operating Characteristics) curves.
ROC() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC
 
ROC.DistanceResultAdapter<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.evaluation.roc
This adapter can be used for an arbitrary collection of Integers, and uses that id1.compareTo(id2) !
ROC.DistanceResultAdapter(Iterator<DistanceResultPair<D>>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DistanceResultAdapter
Constructor
ROC.SimpleAdapter - Class in de.lmu.ifi.dbs.elki.evaluation.roc
This adapter can be used for an arbitrary collection of Integers, and uses that id1.compareTo(id2) !
ROC.SimpleAdapter(Iterator<Integer>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.SimpleAdapter
Constructor
ROC_AUC - Static variable in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve
The association id to associate the ROC Area-under-Curve.
root - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Root element of the document.
rootEntry - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex
The entry representing the root node.
routingObjectID - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry
The id of routing object of this entry.
routingObjectID - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.PQNode
The id of the routing object.
row - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
Encodes row permutations, row i is at position row[i].
ROW_ID - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID
The association id to associate a row id to an object.
rowdimension - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Row dimension.
rowIDs - Variable in class de.lmu.ifi.dbs.elki.data.model.Bicluster
The ids of the rows included in the bicluster.
rowIterator() - Method in class de.lmu.ifi.dbs.elki.data.model.Bicluster
Provides an iterator for the row ids.
RStarTree<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar
RStarTree is a spatial index structure based on the concepts of the R*-Tree.
RStarTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree
Creates a new RStar-Tree.
RStarTreeNode - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar
Represents a node in an R*-Tree.
RStarTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode
Empty constructor for Externalizable interface.
RStarTreeNode(PageFile<RStarTreeNode>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode
Creates a new RStarTreeNode with the specified parameters.
run(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm
Calls the runInTime()-method of extending classes.
run(Database<O>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.Algorithm
Runs the algorithm.
run(Database<O>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.ClusteringAlgorithm
Runs the algorithm.
run() - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication
Runs the application.
run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
 
run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix
 
run() - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec
Runs the wrapper with the specified arguments.
run(Database<O>, DistanceFunction<O, N>) - Method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
 
run() - Method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer
 
run() - Method in class de.lmu.ifi.dbs.elki.KDDTask
Method to run the specified algorithm using the specified database connection.
run() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Iterate until convergence, at most 100 times.
run(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor
 
run(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor
This method determines the correlation dimensions of the objects stored in the specified database and sets the necessary associations in the database.
run(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor
 
run(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor
Annotates the nearest neighbors based on the values of MaterializeKNNPreprocessor.k and MaterializeKNNPreprocessor.distanceFunction to each database object.
run(Database<O>, boolean, boolean) - Method in interface de.lmu.ifi.dbs.elki.preprocessing.Preprocessor
This method executes the actual preprocessing step of this Preprocessor for the objects of the specified database.
run(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor
 
run(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor
Annotates the nearest neighbors based on the values of SharedNearestNeighborsPreprocessor.numberOfNeighbors and SharedNearestNeighborsPreprocessor.distanceFunction to each database object.
run(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.SpatialApproximationMaterializeKNNPreprocessor
Annotates the nearest neighbors based on the values of MaterializeKNNPreprocessor.k and MaterializeKNNPreprocessor.distanceFunction to each database object.
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer
 
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.RunWhenReadyAndVisible
Run method invoked from the updateManager.
run() - Method in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow
 
runCLIApplication(String[]) - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication
Generic command line invocation.
runDerivator(Database<ParameterizationFunction>, int, CASHInterval, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Runs the derivator on the specified interval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.
runDerivator(Database<ParameterizationFunction>, int, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Runs the derivator on the specified interval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm
The run method encapsulated in measure of runtime.
runInTime(Database<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.APRIORI
Performs the APRIORI algorithm on the given database.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ByLabelClustering
Run the actual clustering algorithm.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ByLabelHierarchicalClustering
Run the actual clustering algorithm.
runInTime(Database<ParameterizationFunction>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Performs the CASH algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC
Performs the COPAC algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC
Performs the ERiC algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
Performs the ORCLUS algorithm on the given database.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN
Performs the DBSCAN algorithm on the given database.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu
Performs the DeLiClu algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM
Performs the EM clustering algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans
Performs the k-means algorithm on the given database.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS
Performs the OPTICS algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN
 
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK
Performs the SLINK algorithm on the given database.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering
Performs the SNN clustering algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
Performs the CLIQUE algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
Performs the DiSH algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Performs the PROCLUS algorithm on the given database.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.TrivialAllInOne
Run the actual clustering algorithm.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.TrivialAllNoise
Run the actual clustering algorithm.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator
Computes quantitatively linear dependencies among the attributes of the given database based on a linear correlation PCA.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.DummyAlgorithm
Iterates over all points in the database.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder
Provides an order of the kNN-distances for all objects within the specified database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin
Joins in the given spatial database to each object its k-nearest neighbors.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances
Iterates over all points in the database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.NullAlgorithm
Iterates over all points in the database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
 
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
Runs the algorithm in the timed evaluation part.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF
Performs the Generalized LOF_SCORE algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD
Performs the SOD algorithm on the given database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
Iterates over all points in the database.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality
Run the algorithm.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram
Run the algorithm.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve
 
runPartitionAlgorithm(Database<V>, Map<Integer, List<Integer>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC
Runs the partition algorithm and creates the result.
runPreprocessor(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler
Runs the preprocessor on the database if the omit flag is not set or the database does contain the association id neither for any id nor as global association.
runVarianceAnalysis(Integer, List<DistanceResultPair<D>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor
This method implements the type of variance analysis to be computed for a given point.
runVarianceAnalysis(Integer, List<DistanceResultPair<D>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor
TODO provide correct commentary This method implements the type of variance analysis to be computed for a given point.
runVarianceAnalysis(Integer, List<DistanceResultPair<D>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor
This method implements the type of variance analysis to be computed for a given point.
RunWhenReadyAndVisible - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
Wait for the object to get an updateManager, then run.
RunWhenReadyAndVisible() - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.RunWhenReadyAndVisible
Try to either hook into the UpdateRunnableQueue, or wait for an updateManager to become available.

Release 0.2 (2009-07-06_1820)
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