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

AbortException - Exception in de.lmu.ifi.dbs.elki.algorithm

Exception for aborting some process and transporting a message.

AbortException(String) - Constructor for exception de.lmu.ifi.dbs.elki.algorithm.AbortException

Exception for aborting some process and transporting a message.

absolute - Variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor

Indicates wether delta is an absolute or a relative value.

absolute - Variable in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor

Indicates wether delta is an absolute or a relative value.

absolute - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LimitEigenPairFilter

Indicates wether delta is an absolute or a relative value.

ABSOLUTE_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor

Description for flag abs.

ABSOLUTE_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor

Description for flag abs.

ABSOLUTE_D - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LimitEigenPairFilter

Description for flag abs.

ABSOLUTE_F - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor

Flag for marking parameter delta as an absolute value.

ABSOLUTE_F - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor

Flag for marking parameter delta as an absolute value.

ABSOLUTE_F - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LimitEigenPairFilter

Flag for marking parameter delta as an absolute value.

AbstractAlgorithm<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.algorithm

AbstractAlgorithm sets the values for flags verbose and time.

AbstractAlgorithm() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

Adds the flags AbstractAlgorithm.VERBOSE_FLAG and AbstractAlgorithm.TIME_FLAG to the option handler.

AbstractBiclustering<V extends RealVector<V,Double>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering

Abstract class as a convenience for different biclustering approaches.

AbstractBiclustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

AbstractCorrelationDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>,D extends CorrelationDistance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Abstract super class for correlation based distance functions.

AbstractCorrelationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractCorrelationDistanceFunction

Provides a CorrelationDistanceFunction with a pattern defined to accept Strings that define an Integer followed by a separator followed by a Double.

AbstractDatabase<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.database

Provides a mapping for associations based on a Hashtable and functions to get the next usable ID for insertion, making IDs reusable after deletion of the entry.

AbstractDatabase() - Constructor for class de.lmu.ifi.dbs.elki.database.AbstractDatabase

Provides an abstract database including a mapping for associations based on a Hashtable and functions to get the next usable ID for insertion, making IDs reusable after deletion of the entry.

AbstractDatabaseConnection<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.database.connection

Abstract super class for all database connections.

AbstractDatabaseConnection() - Constructor for class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

AbstractDatabaseConnection already provides the setting of the database according to parameters.

AbstractDatabaseObject - Class in de.lmu.ifi.dbs.elki.data

Abstract super class for all database objects.

AbstractDatabaseObject() - Constructor for class de.lmu.ifi.dbs.elki.data.AbstractDatabaseObject

Initializes the logger and sets the debug status to false.

AbstractDimensionsSelectingDoubleDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.

AbstractDimensionsSelectingDoubleDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDimensionsSelectingDoubleDistanceFunction

Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.

AbstractDistance<D extends AbstractDistance<D>> - Class in de.lmu.ifi.dbs.elki.distance

An abstract distance implements equals conveniently for any extending class.

AbstractDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.AbstractDistance

Sets as debug status LoggingConfiguration.DEBUG.

AbstractDistanceFunction<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

AbstractDistanceFunction provides some methods valid for any extending class.

AbstractDistanceFunction(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction

Provides an abstract DistanceFunction based on the given pattern.

AbstractDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction

Provides an abstract DistanceFunction.

AbstractDoubleDistanceFunction<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Provides an abstract superclass for DistanceFunctions that are based on DoubleDistance.

AbstractDoubleDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDoubleDistanceFunction

Provides a AbstractDoubleDistanceFunction with a pattern defined to accept Strings that define a non-negative Double.

AbstractDoubleKernelFunction<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Provides an abstract superclass for KernelFunctions that are based on DoubleDistance.

AbstractDoubleKernelFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.AbstractDoubleKernelFunction

Provides a AbstractDoubleKernelFunction with a pattern defined to accept Strings that define a non-negative Double.

AbstractEntry - Class in de.lmu.ifi.dbs.elki.index.tree

Abstract superclass for entries in an tree based index structure.

AbstractEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.AbstractEntry

Empty constructor for serialization purposes.

AbstractEntry(Integer) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.AbstractEntry

Provides a new AbstractEntry with the specified id.

AbstractFloatDistanceFunction<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Provides a DistanceFunction that is based on FloatDistance.

AbstractFloatDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractFloatDistanceFunction

Provides a FloatDistanceFunction with a pattern defined to accept Strings that define a non-negative Float.

AbstractIntegerSimilarityFunction<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

AbstractIntegerSimilarityFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIntegerSimilarityFunction

AbstractKernelFunction<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

AbstractKernelFunction provides some methods valid for any extending class.

AbstractKernelFunction(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.AbstractKernelFunction

Provides an abstract KernelFunction based on the given pattern.

AbstractKernelFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.AbstractKernelFunction

Provides an abstract KernelFunction.

AbstractLocallyWeightedDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Abstract super class for locally weighted distance functions using a preprocessor to compute the local weight matrix.

AbstractLocallyWeightedDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractLocallyWeightedDistanceFunction

Provides an abstract locally weighted distance function.

AbstractLoggable - Class in de.lmu.ifi.dbs.elki.logging

Abstract superclass for classes being loggable, i.e. classes intending to log messages.

AbstractLoggable(boolean) - Constructor for class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

Initializes the logger and sets the debug status to the given value.

AbstractLoggable(boolean, String) - Constructor for class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

Initializes the logger with the given name and sets the debug status to the given value.

AbstractMeasurementFunction<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance

Abstract Measurement Function provides some methods valid for any extending class.

AbstractMeasurementFunction(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

Provides an abstract MeasurementFunction based on the given pattern.

AbstractMeasurementFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

Provides an abstract MeasurementFunction.

AbstractMTree<O extends DatabaseObject,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() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Empty 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

AbstractMTreeNode<O extends DatabaseObject,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

Represents a node in an AbstractM-Tree.

AbstractMTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode

Empty constructor for Externalizable interface.

AbstractMTreeNode(PageFile<N>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode

Creates a new MTreeNode with the specified parameters.

AbstractNode<N extends AbstractNode<N,E>,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(PageFile<N>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Creates a new Node with the specified parameters.

AbstractNormalization<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.normalization

Abstract super class for all normalizations.

AbstractNormalization() - Constructor for class de.lmu.ifi.dbs.elki.normalization.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.

AbstractPage<P extends AbstractPage<P>> - 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.

AbstractPage(PageFile<P>) - Constructor for class de.lmu.ifi.dbs.elki.persistent.AbstractPage

Provides a new page object.

AbstractParameterizable - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling

Abstract superclass for classes parameterizable.

AbstractParameterizable() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

Creates a new AbstractParameterizable that provides the option handler and the parameter array.

AbstractParser<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.parser

Abstract superclass for all parsers providing the option handler for handling options.

AbstractParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.AbstractParser

AbstractParser already provides the option handler.

AbstractPCA - Class in de.lmu.ifi.dbs.elki.varianceanalysis

Abstract super class for pca algorithms.

AbstractPCA() - Constructor for class de.lmu.ifi.dbs.elki.varianceanalysis.AbstractPCA

Provides an abstract super class for pca algorithms.

AbstractPreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Abstract super class for distance functions needing a preprocessor.

AbstractPreprocessorBasedDistanceFunction(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPreprocessorBasedDistanceFunction

Provides a super class for distance functions needing a preprocessor

AbstractPreprocessorBasedSimilarityFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

Abstract super class for distance functions needing a preprocessor.

AbstractPreprocessorBasedSimilarityFunction(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPreprocessorBasedSimilarityFunction

Provides a super class for distance functions needing a preprocessor

AbstractResult<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.algorithm.result

Abstract super class for a result object.

AbstractResult(Database<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.AbstractResult

Creates a new abstract result object.

AbstractRStarTree<O extends NumberVector<O,?>,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() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

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(PageFile<N>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode

Creates a new AbstractRStarTreeNode with the specified parameters.

AbstractSimilarityFunction<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

AbstractSimilarityFunction(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractSimilarityFunction

absValue() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber

Returns the absolute value of this rational number.

accept(File) - Method in class de.lmu.ifi.dbs.elki.utilities.PatternBasedFileFilter

Returns true if the given pathname matches exactly against the pattern, that is iff this.pattern.matcher(pathname.getName()).matches(), false otherwise.

adapatedStrongEigenvectors - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

The diagonal matrix of adapted strong eigenvalues: eigenvectors * e_czech.

adapatedStrongEigenvectors() - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

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(Integer, Integer, D) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusterOrder

Adds an object with the given predecessor and the given reachability to this cluster order.

add(Integer, Set<Integer>, Database<ParameterizationFunction>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterMap

Adds a cluster with the specified subspace dimensionality and the specified ids to this map.

add(QueryResult<D>) - Method in class de.lmu.ifi.dbs.elki.utilities.KNNList

Adds a new object to this list.

addAssociation(AssociationID<T>, T) - Method in class de.lmu.ifi.dbs.elki.database.ObjectAndAssociations

Adds the given association with the specified association ID.

addAttributeSettings(List<AttributeSettings>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler

Adds the parameter settings of the preprocessor to the specified list.

addBiclusterToResult(Bicluster<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Adds the given Bicluster to the result of this Biclustering.

addChild(C) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalCluster

Adds a child cluster to this cluster.

addConstraint(ParameterConstraint<C>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter

Adds a parameter constraint to the list of parameter constraints.

addConstraintList(List<ParameterConstraint<C>>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter

Adds a list of parameter constraints to the current list of parameter constraints.

addDatabaseListener(DatabaseListener) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

Adds a listener for the DatabaseEvent posted after the database changes.

addDatabaseListener(DatabaseListener) - Method in interface de.lmu.ifi.dbs.elki.database.Database

Adds a listener for the DatabaseEvent posted after the database changes.

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.

addEdge(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.BiclusteringTree

Adds an edge dependent on its value in ascending order to the List of edges, if it does not already contain this edge.

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.

addFeatureVector(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(String[], Flag) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Adds the specified flag to the beginning of the given parameter array.

addFlag(List<String>, Flag) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Adds the specified flag to the beginning of the given parameter list.

addFlag(List<String>, OptionID) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Adds the specified optionID of a flag to the beginning of the given parameter list.

addID(Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalCluster

Adds a new id to this cluster.

addIDs(List<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalCluster

Adds the specified list of ids to this cluster.

addInvertedRows(Bicluster<V>, BitSet) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Adds the ids of the inverted rows as specified to the given bicluster.

additiveInverse() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber

Returns the additive inverse of this RationalNumber.

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.

addNode(HeapNode<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap

Adds a node to this heap.

addNode(HeapNode<K, V>) - Method in interface de.lmu.ifi.dbs.elki.utilities.heap.Heap

Adds a node to this heap.

addNode(HeapNode<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Adds a node to this heap.

addNode(HeapNode<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Adds a node to this heap.

addOption(Option<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

Adds the given Option to the set of Options known to this Parameterizable.

addOptionSettings(AttributeSettings) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionHandler

Adds the settings of the options assigned to this option handler to the specified attribute settings.

addParameter(String[], Parameter<?, ?>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Adds the specified parameter and its value to the beginning of the given parameter array.

addParameter(String[], OptionID, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Adds the specified optionID and its value to the beginning of the given parameter array.

addParameter(List<String>, OptionID, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Adds the specified optionID and its value to the beginning of the given parameter list.

addParameter(List<String>, Parameter<?, ?>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Adds the specified parameter and the specified value to the beginning of the given parameter list.

addParent(C) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalCluster

Adds a parent to this cluster.

addSetting(String, String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AttributeSettings

Adds a new setting to this settings.

addToNoise(Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterMap

Adds the specified ids to noise.

adjust - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Flag indicating that an adjustment of the applied heuristic for choosing an interval is performed after an interval is selected.

adjust(Matrix, Matrix, Matrix, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction

Inserts the specified vector into the given orthonormal matrix v at column corrDim.

adjust(Deap<K, V>, Deap<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Adjusts the entries of the specified parent with its sons.

ADJUST_FLAG - 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<Integer, KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTree

Adjusts the knn distance in the subtree of the specified root entry.

adjustApproximatedKNNDistances(MkCoPEntry<D>, Map<Integer, KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

Adjusts the knn distance in the subtree of the specified root entry.

adjustEntry(E, Integer, 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.

adjustEntry(MkAppEntry<D>, Integer, D, AbstractMTree<O, D, MkAppTreeNode<O, D>, MkAppEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTreeNode

Adjusts the parameters of the entry representing this node.

adjustEntry(MkCoPEntry<D>, Integer, D, AbstractMTree<O, D, MkCoPTreeNode<O, D>, MkCoPEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTreeNode

adjustEntry(MkMaxEntry<D>, Integer, D, AbstractMTree<O, D, MkMaxTreeNode<O, D>, MkMaxEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTreeNode

adjustEntry(MkTabEntry<D>, Integer, D, AbstractMTree<O, D, MkTabTreeNode<O, D>, MkTabEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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

adjustEntry(RdKNNEntry<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode

adjustFirstDeap() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Adjusts the first deap recursively with its sons.

adjustKNNDistance(MkMaxEntry<D>, Map<Integer, KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

Adjusts the knn distance in the subtree of the specified root entry.

adjustKNNDistance(RdKNNEntry<D>, Map<Integer, KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Adjusts the knn distance in the subtree of the specified root entry.

adjustKNNDistances(MkTabEntry<D>, Map<Integer, KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTree

Adjusts the knn distance in the subtree of the specified root entry.

adjustTree(TreeIndexPath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Adjusts the tree after insertion of some nodes.

adjustTree(TreeIndexPath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Adjusts the tree after insertion of some nodes.

affineDistance - Variable in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance

The affine distance.

Algorithm<O extends DatabaseObject> - 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.KDDTask

Holds the algorithm to run.

ALGORITHM - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID

OptionID for KDDTask.ALGORITHM_PARAM

ALGORITHM_PARAM - Variable in class de.lmu.ifi.dbs.elki.KDDTask

Parameter to specify the algorithm to be applied, must extend Algorithm.

ALGORITHM_TIME - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID

OptionID for AbstractAlgorithm.TIME_FLAG

ALGORITHM_VERBOSE - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID

OptionID for AbstractAlgorithm.VERBOSE_FLAG

ALL - Static variable in class de.lmu.ifi.dbs.elki.logging.LogLevel

ALL indicates that all messages should be logged.

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.

alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Holds alpha.

alpha - Variable in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor

The maximum allowed variance along a coordinate axis.

alpha - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.PercentageEigenPairFilter

The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.

ALPHA_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor

Description for parameter alpha.

ALPHA_D - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.PercentageEigenPairFilter

Description for parameter alpha.

ALPHA_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor

Option string for parameter alpha.

ALPHA_P - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.PercentageEigenPairFilter

Option string for parameter alpha.

ALPHA_PARAM - 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.

alphaExtremum - Variable in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction

Holds the alpha values of the global extremum.

angle(int, Matrix, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Returns the angle of the colA col of this and the colB col of B.

appendBicluster(Bicluster<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Biclustering

Appends the given bicluster to this result.

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.

appendModel(Result<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Bicluster

Associates the given model with this bicluster.

appendModel(L, Result<O>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusteringResult

Appends a model the designated cluster.

appendModel(L, Result<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

appendModel(L, Result<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

appendModel(L, Result<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.PartitionClusteringResults

approximateConservativeKnnDistance(int, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPDirectoryEntry

Returns the conservative approximated knn distance of the entry.

approximateConservativeKnnDistance(int, DistanceFunction<O, D>) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPEntry

Returns the conservative approximated knn distance of the entry.

approximateConservativeKnnDistance(int, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mkapp.MkAppDirectoryEntry

Returns the approximated value at the specified k.

approximatedValueAt(int) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppEntry

Returns the approximated value at the specified k.

approximatedValueAt(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppLeafEntry

Returns the approximated value at the specified k.

approximateKnnDistances(List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTree

Computes the polynomial approximation of the specified knn-distances.

approximateKnnDistances(MkCoPLeafEntry<D>, List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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

approximateLowerHull(ConvexHull, double[], double, double, double[], double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

Approximates the lower hull.

approximatelyLinearDependent(LocalPCA<V>, LocalPCA<V>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction

Returns true, if the strong eigenvectors of the two specified pcas span up the same space.

approximateProgressiveKnnDistance(int, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mkcop.MkCoPTree

approximateUpperHull_OLD(ConvexHull, double[], double, double, double[], double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

approximateUpperHull_PAPER(ConvexHull, double[], double, double, double[], double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

approximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppDirectoryEntry

The polynomial approximation.

approximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppLeafEntry

The polynomial approximation.

ApproximationLine - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mkcop.ApproximationLine

Empty constructor for serialization purposes.

ApproximationLine(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.APRIORI

Provides the apriori algorithm, adding parameters APRIORI.MINFREQ_PARAM and APRIORI.MINSUPP_PARAM to the option handler additionally to parameters of super class.

AprioriResult - Class in de.lmu.ifi.dbs.elki.algorithm.result

Stores a apriori result.

AprioriResult(List<BitSet>, Map<BitSet, Integer>, Database<BitVector>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.AprioriResult

Provides a apriori result.

ArbitraryKernelFunctionWrapper<O extends RealVector<O,?>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Provides a wrapper for arbitrary kernel functions whose kernel matrix has been precomputed.

ArbitraryKernelFunctionWrapper() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.ArbitraryKernelFunctionWrapper

Provides a wrapper for arbitrary kernel functions whose kernel matrix has already been precomputed.

areSet(int[]) - Method in class de.lmu.ifi.dbs.elki.data.BitVector

Returns whether the bits at all of the specified indices are set.

Arithmetic<N extends Number> - Interface in de.lmu.ifi.dbs.elki.data

An interface to define requirements for a number to perform arithmetic operations.

arrayLeftDivide(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Element-by-element left division, C = A.

arrayLeftDivideEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Element-by-element left division in place, A = A.

arrayRightDivide(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Element-by-element right division, C = A.

arrayRightDivideEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Element-by-element right division in place, A = A.

arrayTimes(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Element-by-element multiplication, C = A.

arrayTimesEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Element-by-element multiplication in place, A = A.

ascending - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap

Indicates weather this heap is organised in ascending or descending order.

assign(Database<V>, List<ORCLUS<V>.Cluster>) - 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.

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 - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeSplit

Encapsulates the two promotion objects and their assignments.

Assignments<D extends Distance<D>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util

Encapsulates the attributes of an assignment during a split.

Assignments(Integer, Integer, D, D, Set<E>, Set<E>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.Assignments

Provides an assignment during a split of an MTree node.

assignNN(Set<E>, Set<E>, List<DistanceEntry<D, E>>, D, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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<Integer, Set<Integer>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Assigns the objects to the clusters.

assignProbabilitiesToInstances(Database<V>, List<Double>, List<V>, List<Matrix>, List<Double>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

Assigns the current probability values to the instances in the database.

associate(Class<L>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusteringResult

Returns a new Database containing only non-noise Objects with a clusterID associated as AssociationID#CLASS.

associate(Class<L>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

associate(Class<L>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

associate(Class<L>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.PartitionClusteringResults

Returns a database containing only non-noise objects.

associate(AssociationID<T>, Integer, T) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

associate(AssociationID<T>, Integer, T) - Method in interface de.lmu.ifi.dbs.elki.database.Database

Associates a association in a certain relation to a certain Object.

associateGlobally(AssociationID<T>, T) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

Associates a global association in a certain relation to the database.

associateGlobally(AssociationID<T>, T) - Method in interface de.lmu.ifi.dbs.elki.database.Database

Associates a global association in a certain relation to the database.

ASSOCIATION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction

The Assocoiation ID for the association to be set by the preprocessor.

ASSOCIATION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction

The Assocoiation ID for the association to be set by the preprocessor.

ASSOCIATION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PreferenceVectorBasedCorrelationDistanceFunction

The Assocoiation ID for the association to be set by the preprocessor.

ASSOCIATION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.SubspaceDistanceFunction

The Assocoiation ID for the association to be set by the preprocessor.

ASSOCIATION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction

The Assocoiation ID for the association to be set by the preprocessor.

AssociationID<C> - Class in de.lmu.ifi.dbs.elki.database

An AssociationID is used by databases as a unique identifier for specific associations to single objects.

AssociationID(String, Class<C>) - Constructor for class de.lmu.ifi.dbs.elki.database.AssociationID

Provides a new AssociationID of the given name and type.

associationID - Variable in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler

The assocoiation ID for the association to be set by the preprocessor

AssociationMaps - Class in de.lmu.ifi.dbs.elki.database

Helper class to facilitate an association mapping from AssociationID to a map from an object id to an associated object.

AssociationMaps() - Constructor for class de.lmu.ifi.dbs.elki.database.AssociationMaps

Provides an AssociationMaps object ready to set and get mappings from object ids to associated objects.

associations - Variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

Map to hold association maps.

associations - Variable in class de.lmu.ifi.dbs.elki.database.AssociationMaps

Holds a mapping from AssociationID to maps for object ids and associated objects.

Associations - Class in de.lmu.ifi.dbs.elki.database

A helper class to facilitate setting of global associations in a database.

Associations() - Constructor for class de.lmu.ifi.dbs.elki.database.Associations

Provides an Associations object ready to set and get Objects for association.

associations - Variable in class de.lmu.ifi.dbs.elki.database.Associations

Holds the objects associated under given association ids.

associations - Variable in class de.lmu.ifi.dbs.elki.database.ObjectAndAssociations

The map of associations associated with the database objects.

ATTRIBUTE_CONCATENATION - Static variable in class de.lmu.ifi.dbs.elki.parser.AbstractParser

A sign to separate attributes.

ATTRIBUTE_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.data.NumberVector

The String to separate attribute values in a String that represents the values.

attributes - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterModel

AttributeSetting - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling

Encapsulates a setting of one attribute.

AttributeSetting(String, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.AttributeSetting

Creates a new setting object.

AttributeSettings - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling

Encapsulates the current settings of the attributes of an object.

AttributeSettings(Object) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.AttributeSettings

Creates a new parameter setting object.

AttributeWiseRealVectorNormalization<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.normalization

Class to perform and undo a normalization on real vectors with respect to given minimum and maximum in each dimension.

AttributeWiseRealVectorNormalization() - Constructor for class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization

Sets minima and maxima parameter to the optionhandler.

avgDistance(V, Set<Integer>, Database<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.