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 _

C

cache - Variable in class de.lmu.ifi.dbs.elki.database.DistanceCache

The map holding the pairwise distances.

Cache<P extends Page<P>> - Interface in de.lmu.ifi.dbs.elki.persistent

Defines the requirements for a cache that stores objects implementing the Page interface.

cache - Variable in class de.lmu.ifi.dbs.elki.persistent.PageFile

The cache of this file.

CACHE_SIZE_D - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Description for parameter cachesize.

CACHE_SIZE_P - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Option string for parameter cachesize.

CACHED_DISTANCES - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID

The association id to associate precomputed distances.

CACHED_MATRIX - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID

The association id to associate an arbitrary matrix of an object.

CachedFile<P extends Page<P>> - Interface in de.lmu.ifi.dbs.elki.persistent

Defines the requirements for an underlying file of a cache that stores objects implementing the Page interface.

cacheIndex - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.Deap

The index of this deap in the cachePath of the persistent heap.

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

Returns the cache index of the specified index if the index would be in cache.

cachePath - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

The actual path of this heap in main memory.

cacheSize - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

The size of the cache in bytes.

cacheSize - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache

The maximum number of objects in this cache.

CALL - Static variable in class de.lmu.ifi.dbs.elki.KDDTask

The String for calling this class' main routine on command line interface.

canonicalClusterLabel(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

todo comment

canonicalClusterLabel(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

todo coment

CASH - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Subspace clustering algorithm based on the hough transform.

CASH() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Provides a new CASH algorithm.

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

OptionID for CASH.ADJUST_FLAG

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

OptionID for CASH.JITTER_PARAM

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

OptionID for CASH.MAXLEVEL_PARAM

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

OptionID for CASH.MINDIM_PARAM

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

OptionID for CASH.MINPTS_PARAM

CASHInterval - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash

Provides a unique interval represented by its id, a hyper bounding box reppresenting the alpha intervals, an interval of the correspinding distance, and a set of objects ids associated with this interval.

CASHInterval() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Empty constructor for Externalizable interface.

CASHInterval(double[], double[], CASHIntervalSplit, Set<Integer>, int, int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Provides a unique interval represented by its id, a hyper bounding box and a set of objects ids associated with this interval.

CASHIntervalSplit - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash

Supports the splitting of CASH intervals.

CASHIntervalSplit(Database<ParameterizationFunction>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit

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

CASHResult - Class in de.lmu.ifi.dbs.elki.algorithm.result.clustering

TODO: comment

CASHResult(Database<ParameterizationFunction>, SubspaceClusterMap, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.CASHResult

todo

cdiv(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition

cdivi - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition

cdivr - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition

centerDistance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction

Computes the distance between the centroids of the two given MBRs according to this distance function.

centerDistance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionsSelectingEuklideanDistanceFunction

Computes the distance between the centroids of the two given MBRs according to this distance function.

centerDistance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuklideanDistanceFunction

Computes the distance between the centroids of the two given MBRs according to this distance function.

centerDistance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction

Computes the distance between the centroids of the two given MBRs according to this distance function.

centerDistance(HyperBoundingBox, HyperBoundingBox) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction

Computes the distance between the centroids of the two given MBRs according to this distance function.

centerKernelMatrix(KernelMatrix<? extends RealVector<?, ? extends Number>>) - Static method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix

Centers the Kernel Matrix in Feature Space according to Smola et.

centerMatrix(Matrix) - Static method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix

Centers the matrix in feature space according to Smola et.

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

The centroid of this cluster.

centroid - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.Cluster

The centroids of this cluster along each dimension.

centroid - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalCorrelationCluster

The centroid of this cluster.

centroid - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.CorrelationAnalysisSolution

The centroid if the objects belonging to the hyperplane induced by the correlation.

centroid() - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox

Returns the centroid of this HyperBoundingBox.

centroid(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox

Returns the centroid of the specified values of this HyperBoundingBox.

centroid(Database<V>, Collection<Integer>) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns the centroid as a RealVector object of the specified objects stored in the given database.

centroid(Database<V>, Collection<Integer>, BitSet) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns the centroid w.r.t. the dimensions specified by the given BitSet as a RealVector object of the specified objects stored in the given database.

centroid(Database<O>) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns the centroid as a RealVector object of the specified database.

centroid(Matrix) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns the centroid as a Vector object of the specified data matrix.

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

Adds a given value to the diagonal entries if the entry is smaller than the constant.

checkClusters(Database<V>, DiSHDistanceFunction<V, DiSHPreprocessor<V, ?>>, Map<BitSet, List<HierarchicalAxesParallelCorrelationCluster>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Removes the clusters with size < minpts from the cluster map and adds them to their parents.

checkDimensions(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Check if this.getDimensionality() == v.getDimensionality().

checkGlobalParameterConstraints() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

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

checkGlobalParameterConstraints() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable

Checks if all global parameter constraints are kept

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

Check if size(A) == size(B) *

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

children - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.BiclusteringTree

The children of this node.

children - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalCluster

The children of this cluster.

CHILDREN - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalClusters

Indicating the children of a cluster in the string representation.

children(TreeIndexPath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

children(TreeIndexPath<E>) - Method in interface de.lmu.ifi.dbs.elki.index.tree.Node

Returns an enumeration of the children paths of this node.

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

Cholesky Decomposition

CholeskyDecomposition - Class in de.lmu.ifi.dbs.elki.math.linearalgebra

Cholesky Decomposition.

CholeskyDecomposition(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.CholeskyDecomposition

Cholesky algorithm for symmetric and positive definite matrix.

chooseBulkSplitPoint(int, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.BulkSplit

Computes and returns the best split point.

chooseMaximalExtendedSplitAxis(List<SpatialObject>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.BulkSplit

Computes and returns the best split axis.

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

Chooses the best path of the specified subtree for insertion of the given object.

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

Chooses the best path of the specified subtree for insertion of the given mbr at the specified level.

chooseSplitAxis(List<E>, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit

Chooses a split axis.

chooseSplitPoint(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit

Chooses a split axis.

CLASS - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID

The association id to associate a class (class label) to an object.

CLASS_LABEL_CLASS_D - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

Description for parameter classLabelClass.

CLASS_LABEL_CLASS_P - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

Option string for parameter classLabelClass.

CLASS_LABEL_INDEX_D - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

Description for parameter classLabelIndex.

CLASS_LABEL_INDEX_D - Static variable in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser

Description for the parameter numerical class label.

CLASS_LABEL_INDEX_P - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

Option string for parameter classLabelIndex.

CLASS_LABEL_INDEX_P - Static variable in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser

The parameter name for an index of a numerical class label.

CLASS_LABEL_INDEX_PARAM - Static variable in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser

The parameter for an index of a numerical class label.

classForName(String) - Method in class de.lmu.ifi.dbs.elki.properties.PropertyName

Returns a class for the given name.

ClassLabel<L extends ClassLabel<L>> - Class in de.lmu.ifi.dbs.elki.data

A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

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

ClassLabels need an empty constructor for dynamic access.

classLabelClass - Variable in class de.lmu.ifi.dbs.elki.converter.WekaAttributeFactory

The classLabel class for nominal attributes.

classLabelClass - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

The class name for a class label.

classLabelIndex - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

The index of the class label, null if no class label is specified.

classLabelIndex - Variable in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser

Keeps the index of an attribute to be treated as a string label.

classLabelToClusterID(L) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

todo comment

classLabelToClusterID(L) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

todo coment

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

Parameter class for a parameter specifying a list of class names.

ClassListParameter(String, String, Class<?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassListParameter

Deprecated.

ClassParameter<C> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling

Parameter class for a parameter specifying a class name.

ClassParameter(OptionID, Class<C>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter

Constructs a class parameter with the given optionID, and restriction class.

ClassParameter(OptionID, Class<C>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter

Constructs a class parameter with the given optionID, restriction class, and optional flag.

ClassParameter(OptionID, Class<C>, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter

Constructs a class parameter with the given optionID, restriction class, and default value.

ClassParameter(String, String, Class<C>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter

Deprecated.

ClassParameter(String, String, Class<C>, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter

Deprecated.

clear() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.RkNNStatistic

Clears the values of this statistic.

clear() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.RkNNStatistic

Clears the values of this statistic.

clear() - Method in interface de.lmu.ifi.dbs.elki.persistent.Cache

Clears this cache.

clear() - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache

Clears this cache.

clear() - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile

Clears this PageFile.

clear() - Method in class de.lmu.ifi.dbs.elki.persistent.PageFile

Clears this PageFile.

clear() - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

Clears this PageFile.

clear() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap

Clears the heap.

clearReinsertions() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Clears the reinsertions.

clearRkNNStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

Clears the values of the statistic for performed rknn queries

clearRkNNStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

Clears the values of the statistic for performed rknn queries

CLI - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Configuration code for command line interface.

CLIQUE<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Implementation of the CLIQUE algorithm, a grid-based algorithm to identify dense clusters in subspaces of maximum dimensionality.

CLIQUE() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

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

OptionID for CLIQUE.PRUNE_FLAG

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

OptionID for CLIQUE.TAU_PARAM

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

OptionID for CLIQUE.XSI_PARAM

CLIQUEModel<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.result.clustering

Represents a cluster model for a cluster in the CLIQUE algorithm.

CLIQUEModel(Database<V>, CLIQUESubspace<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.CLIQUEModel

Creates a new cluster model for a cluster in the CLIQUE algorithm with the specified parameters.

CLIQUESubspace<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique

Represents a subspace of the original dataspace in the CLIQUE algorithm.

CLIQUESubspace(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace

Creates a new one-dimensional subspace of the original dataspace.

CLIQUESubspace(SortedSet<Integer>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace

Creates a new k-dimensional subspace of the original dataspace.

CLIQUEUnit<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique

Represents a unit in the CLIQUE algorithm.

CLIQUEUnit(SortedSet<Interval>, Set<Integer>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Creates a new k-dimensional unit for the given intervals.

CLIQUEUnit(Interval) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Creates a new one-dimensional unit for the given interval.

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

Clone the Matrix object.

close() - Method in interface de.lmu.ifi.dbs.elki.index.Index

Closes this index.

close() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Closes this index and the underlying file.

close() - Method in class de.lmu.ifi.dbs.elki.logging.MaskingOutputStream

Closes this output stream and releases any system resources associated with the stream.

close() - Method in class de.lmu.ifi.dbs.elki.persistent.PageFile

Closes this file.

close() - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

Closes this file.

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

Closes this persistent heap.

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

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

todo arthur comment

Cluster(int[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Cluster

Cluster(Integer[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Cluster

CLUSTER_LABEL_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

Prefix for cluster or class labels: "C".

CLUSTER_LABEL_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

todo comment

CLUSTER_MARKER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Biclustering

Marker for a file name of a cluster.

CLUSTER_MARKER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.CASHResult

Marker for a file name of a cluster.

CLUSTER_MARKER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

Marker for a file name of a cluster.

CLUSTER_MARKER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

Marker for a file name of a cluster.

clusterIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Cluster

Clustering<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering

Interface for Algorithms that are capable to provide a ClusteringResult.

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

Returns a Map of ClassLabel to Database, comprising a separate database for each cluster.

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

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

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

Returns a mapping to databases containing only non-noise objects.

ClusteringResult<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.algorithm.result.clustering

A Result that provides a set of disjunct clusters and a mapping from classlabels (supposedly assigned by the algorithm) to databases.

clusterMap - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.CASHResult

The mapping between subspace dimensions and clusters.

clusterOrder - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

Provides the result of the algorithm.

clusterOrder - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

Provides the result of the algorithm.

ClusterOrder<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.result.clustering

A class representing the cluster order of the OPTICS algorithm.

ClusterOrder(Database<O>, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusterOrder

Provides the cluster order of the OPTICS algorithm.

clusterOrder - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalAxesParallelCorrelationClusters

The cluster order.

ClusterOrderEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.result.clustering

Provides an entry in a cluster order.

ClusterOrderEntry(Integer, Integer, D) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusterOrderEntry

Creates a new entry in a cluster order with the specified parameters.

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

Provides a result of a clustering-algorithm that computes several clusters.

Clusters(Integer[][], Database<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

Provides a result of a clustering-algorithm that computes several clusters and remaining noise.

clusters - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

An array of clusters, respectively, where each array provides the object ids of its members

clusters - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterMap

The map holding the clusters.

clustersAndNoise - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

An array of clusters and noise, respectively, where each array provides the object ids of its members.

ClusterSimilarity - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

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

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

Provides a result of a clustering-algorithm that computes several clusters and remaining noise.

ClustersPlusNoise(Integer[][], Database<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

Provides a result of a clustering-algorithm that computes several clusters and remaining noise.

ClustersPlusNoisePlusCorrelationAnalysis<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.result.clustering

Provides a result of a clustering-algorithm that computes several clusters and remaining noise and a correlation analysis for each cluster.

ClustersPlusNoisePlusCorrelationAnalysis(Integer[][], Database<V>, CorrelationAnalysisSolution<V>[], NumberFormat) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoisePlusCorrelationAnalysis

Provides a result of a clustering-algorithm that computes several clusters and remaining noise and a correlation analysis for each cluster

ClustersPlusNoisePlusCorrelationAnalysis(Integer[][], Database<V>, CorrelationAnalysisSolution<V>[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoisePlusCorrelationAnalysis

Provides a result of a clustering-algorithm that computes several clusters and remaining noise and a correlation analysis for each cluster

clusterToModel - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

todo comment

clusterToModel - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

todo comment

co - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusterOrder

The cluster order.

coeff - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

The matrix of coefficients.

coefficientOfDetermination() - Method in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression

Returns the coefficient of determination

col - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Encodes column permutations, column j is at position col[j].

colIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

The column ids corresponding to the currently set AbstractBiclustering.database.

colIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Bicluster

The ids of the rows included in the bicluster.

colPos - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.MatrixPosition

columndimension - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Column dimension.

columns - Static variable in class de.lmu.ifi.dbs.elki.utilities.Description

Width of columns.

columnWidth - Variable in class de.lmu.ifi.dbs.elki.utilities.output.PrettyPrinter

provides the column width for each column

COMMA_SPLIT - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.CompositeEigenPairFilter

A pattern defining a comma.

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

The comment character.

commonPreferenceVector - Variable in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance

The common preference vector of the two objects defining this distance.

compare(BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.data.BitSetComparator

Compares to BitSets b1 and b2.

compare(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator

Compares the two specified spatial comparables according to the sorting dimension and the comparison value of this Comparator.

compare(IDDoublePair, IDDoublePair) - Method in class de.lmu.ifi.dbs.elki.utilities.IDDoublePairComparatorDescDouble

Implements the compare method such that a sorting is in descending order.

compare(IDPropertyPair<P>, IDPropertyPair<P>) - Method in class de.lmu.ifi.dbs.elki.utilities.PropertyPermutationComparator

To Objects of type IDPropertyPair are compared based on the comparison of their property using the current PropertyPermutationComparator.propertyComparator.

compareDimension - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator

The dimension for comparison.

compareTo(Identifiable<CASHInterval>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Compares this object with the specified object for order.

compareTo(ORCLUS<V>.ProjectedEnergy) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy

Compares this object with the specified object for order.

compareTo(Identifiable<DeLiClu<O, D>.SpatialObjectPair>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair

Compares this object with the specified object for order.

compareTo(Identifiable<OPTICS<O, D>.COEntry>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS.COEntry

Compares this object with the specified object for order.

compareTo(SLINK<O, D>.SLinkDistance) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK.SLinkDistance

Compares this object with the specified object for order.

compareTo(CLIQUESubspace<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace

Compares this subspace with the specified subspace for order.

compareTo(Identifiable<ClusterOrderEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusterOrderEntry

Compares this object with the specified object for order.

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

Compares this object with the specified object for order.

compareTo(WekaNominalAttribute<L>) - Method in class de.lmu.ifi.dbs.elki.converter.WekaNominalAttribute

Two nominal attributes are compared by their values.

compareTo(WekaNumericAttribute) - Method in class de.lmu.ifi.dbs.elki.converter.WekaNumericAttribute

Two numeric attributes are compared by their values.

compareTo(WekaStringAttribute) - Method in class de.lmu.ifi.dbs.elki.converter.WekaStringAttribute

Two string attributes are compared by their values.

compareTo(HierarchicalClassLabel) - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel

Compares two HierarchicalClassLabels.

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

Compares two RationalNumbers a/b and c/d.

compareTo(SimpleClassLabel) - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel

The ordering of two SimpleClassLabels is given by the ordering on the Strings they represent.

compareTo(BitDistance) - Method in class de.lmu.ifi.dbs.elki.distance.BitDistance

compareTo(D) - Method in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance

compareTo(DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.distance.DoubleDistance

Compares this DoubleDistance with the given DoubleDistance wrt the representad double.

compareTo(FloatDistance) - Method in class de.lmu.ifi.dbs.elki.distance.FloatDistance

compareTo(IntegerDistance) - Method in class de.lmu.ifi.dbs.elki.distance.IntegerDistance

Compares this distance with the specified distance for order.

compareTo(PreferenceVectorBasedCorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance

compareTo(D) - Method in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance

compareTo(DistanceEntry<D, E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.DistanceEntry

Compares this object with the specified object for order.

compareTo(Enlargement<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.Enlargement

Compares this Enlargement with the specified Enlargement.

compareTo(EigenPair) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenPair

Compares this object with the specified object for order.

compareTo(D) - Method in class de.lmu.ifi.dbs.elki.utilities.ConstantObject

Two constant objects are generally compared by their name.

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

Compares this HeapNode with the specified HeapNode.

compareTo(Identifiable<DefaultIdentifiable>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultIdentifiable

Compares this object with the specified object for order.

compareTo(IDDoublePair) - Method in class de.lmu.ifi.dbs.elki.utilities.IDDoublePair

Compares this object with the specified object for order.

compareTo(IDIDDoubleTriple) - Method in class de.lmu.ifi.dbs.elki.utilities.IDIDDoubleTriple

Compares this object with the specified object for order.

compareTo(IntegerTriple) - Method in class de.lmu.ifi.dbs.elki.utilities.IntegerTriple

Compares this IntegerTriple with an IntegerTriple o.

compareTo(Interval) - Method in class de.lmu.ifi.dbs.elki.utilities.Interval

Compares this interval with the specified interval for order.

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

Compares this QueryResult with the given QueryResult with respect to the distances.

comparisonValue - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator

Indicates the comparison value (min or max).

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

Completes this d x c basis of a subspace of R^d to a d x d basis of R^d, i.e. appends c-d columns to this basis.

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

Completes this d x c basis of a subspace of R^d to a d x d basis of R^d, i.e. appends c-d columns to this basis.

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

The CompositeEigenPairFilter can be used to build a chain of eigenpair filters.

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

Provides a new EigenPairFilter that builds a chain of user specified eigenpair filters.

computeBadMedoids(Map<Integer, PROCLUS<V>.Cluster>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Computes the bad medoids, where the medoid of a cluster with less than the specified threshold of objkects is bad.

computeClusters(Database<V>, ClusterOrder<V, PreferenceVectorBasedCorrelationDistance>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Computes the hierarchical clusters according to the cluster order.

computeDiffs(SortedSet<CLIQUESubspace<V>>, int[], int[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

The specified sorted set of dense subspaces is divided into the selected set I and the pruned set P.

computeDistance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction

Computes the distance between two given real vectors according to this distance function.

computeHeight() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Computes the height of this RTree.

computeHeight() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree

Computes the height of this RTree.

computeM_current(Set<Integer>, Set<Integer>, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

computeMeans(SortedSet<CLIQUESubspace<V>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

The specified sorted set of dense subspaces is divided into the selected set I and the pruned set P.

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

Matrix condition (2 norm)

cond() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Two norm condition number

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

Condenses the tree after deletion of some nodes.

CONDITION - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

Description for the determination of the preference vector.

configurationChangeable - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Whether the LoggingConfiguration is still changeable.

configure(Logger, int) - Method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Configures the specified logger according to the specified configuration code.

configure(Logger, Handler[]) - Method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Configures the given logger.

configureRoot(int) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Configures the root logger according to the specified configuration code.

configureRootFinally(int) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Configures the root logger according to the specified configuration code.

cons - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterFlagGlobalConstraint

List of parameter constraints.

conservativeApproximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPDirectoryEntry

The conservative approximation.

conservativeApproximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPLeafEntry

The conservative approximation.

conservativeKnnDistanceApproximation(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTreeNode

Determines and returns the conservative approximation for the knn distances of this node as the maximum of the conservative approximations of all entries.

consoleHandlers() - Method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Provides the standard handlers for command line interface configuration.

CONSTANT_OBJECTS_INDEX - Static variable in class de.lmu.ifi.dbs.elki.utilities.ConstantObject

Index of constant objects.

ConstantObject<D extends ConstantObject<D>> - Class in de.lmu.ifi.dbs.elki.utilities

ConstantObject provides a parent class for constant objects, that are immutable and unique by class and name.

ConstantObject(String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.ConstantObject

Provides a ConstantObject of the given name.

constraints - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter

Holds parameter constraints for this parameter.

constraintStrings() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.EqualStringConstraint

constraintValue - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.AbstractNumberConstraint

The constraint value.

constructWithCopy(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Construct a matrix from a copy of a 2-D array.

contains(V) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Retuns true, if the intervals of this unit contain the specified feature vector.

contains(BitSet) - Method in class de.lmu.ifi.dbs.elki.data.BitVector

Returns whether this BitVector contains all bits that are set to true in the specified BitSet.

contains(HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox

Returns true if this HyperBoundingBox contains the given HyperBoundingBox, false otherwise.

contains(double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox

Returns true if this HyperBoundingBox contains the given point, false otherwise.

containsKey(AssociationID<?>) - Method in class de.lmu.ifi.dbs.elki.database.AssociationMaps

Checks whether this AssociationMaps contains a mapping for a given AssociationID.

containsKey(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.database.DistanceCache

Returns true if this cache contains a distance value for the specified ids.

containsKey(Integer, Integer, Map<Integer, Map<Integer, D>>) - Method in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser

Returns true if the specified distance cache contains a distance value for the specified ids.

containsLeftNeighbor(Interval) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Returns true if this unit contains the left neighbor of the specified interval.

containsRightNeighbor(Interval) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Returns true if this unit contains the right neighbor of the specified interval.

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

Map to hold the objects of the database.

convertToDoubles(float[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Converts the specified array of doubles to an array of floats.

convertToDoubles(List<Double>) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Converts the specified list of Double objects to an array of doubles.

convertToFloat(List<Double>) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Converts the specified list of double objects to a list of float objects.

convertToFloat(double[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Converts the specified array of doubles to an array of floats.

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

Holds the lower and upper hull for some values.

ConvexHull(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.ConvexHull

Creates a new convex hull for the specified distances.

COPAA<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Algorithm to partition a database according to the correlation dimension of its objects and to then perform an arbitrary algorithm over the partitions.

COPAA() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAA

Sets the specific parameters additionally to the parameters set by the super-class.

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

OptionID for COPAA.PARTITION_ALGORITHM_PARAM

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

OptionID for COPAA.PARTITION_DB_PARAM

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

OptionID for COPAA.PREPROCESSOR_PARAM

COPAC<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Algorithm to partition a database according to the correlation dimension of its objects and to then perform an arbitrary clustering algorithm over the partitions.

COPAC() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

Sets the specific parameters additionally to the parameters set by the super-class.

copacAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

The COPAC clustering algorithm.

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

Provides a deep copy of this RationalNumber.

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

Make a deep copy of a matrix.

copy() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Returns a copy of this vector.

copy() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap

Returns a copy of the vector holding this heap.

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

Returns a new String array containing the same objects as are contained in the given array.

copy(double[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns a new double array containng the same objects as are contained in the given array.

corrdim - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalCASHCluster

The correlation dimensionality of this cluster.

CorrelationAnalysisSolution<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.result

A solution of correlation analysis is a matrix of equations describing the dependencies.

CorrelationAnalysisSolution(LinearEquationSystem, Database<V>, Matrix, Matrix, Matrix, Vector) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.CorrelationAnalysisSolution

Provides a new CorrelationAnalysisSolution holding the specified matrix.

CorrelationAnalysisSolution(LinearEquationSystem, Database<V>, Matrix, Matrix, Matrix, Vector, NumberFormat) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.CorrelationAnalysisSolution

Provides a new CorrelationAnalysisSolution holding the specified matrix and number format.

correlationAnalysisSolutions - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoisePlusCorrelationAnalysis

An array of correlation analysis solutions for each cluster.

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

The correlation dimension (i.e. the number of strong eigenvectors) of the object to which this PCA belongs to.

correlationDimensionality - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.CorrelationAnalysisSolution

The dimensionality of the correlation.

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

The CorrelationDistance is a special Distance that indicates the dissimilarity between correlation connected objects.

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

Empty constructor for serialization purposes.

CorrelationDistance(int, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.CorrelationDistance

Constructs a new CorrelationDistance object.

correlationDistance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractCorrelationDistanceFunction

Computes the correlation distance between the two specified vectors.

correlationDistance(V, V, BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DiSHDistanceFunction

Computes the correlation distance between the two specified vectors according to the specified preference vectors.

correlationDistance(O, O, BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.HiSCDistanceFunction

Computes the correlation distance between the two specified vectors according to the specified preference vectors.

correlationDistance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction

correlationDistance(LocalPCA<O>, LocalPCA<O>, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction

Computes the correlation distance between the two subspaces defined by the specified PCAs.

correlationDistance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PreferenceVectorBasedCorrelationDistanceFunction

correlationDistance(O, O, BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PreferenceVectorBasedCorrelationDistanceFunction

Computes the correlation distance between the two specified vectors according to the specified preference vectors.

correlationValue - Variable in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance

The correlation dimension.

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

CosineDistanceFunction for FeatureVectors.

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

Provides a CosineDistanceFunction.

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

Counter to provide a new Integer id.

covarianceMatrix - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.EMModel

covarianceMatrix(Database<V>, Collection<Integer>) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Determines the covariance matrix of the objects stored in the given database.

covarianceMatrix(Database<O>) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Determines the covariance matrix of the objects stored in the given database.

covarianceMatrix(Matrix) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Determines the d x d covariance matrix of the given n x d data matrix.

covarianceMatrix - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.GlobalPCA

Holds the covariance matrix.

coverage - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace

The coverage of this subspace, which is the number of all feature vectors that fall inside the dense units of this subspace.

coveringRadius(Integer, AbstractMTree<O, D, N, E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode

Determines and returns the covering radius of this node.

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

The covering radius of the entry.

createDirectoryNodes(List<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree

Creates and returns the directory nodes for bulk load.

createEmptyRoot(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

createEmptyRoot(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree

createEmptyRoot(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Creates an empty root node and writes it to file.

createHeader() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

Creates a header for this index structure.

createHeader() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTree

Creates a header for this index structure.

createHeader() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

createHeader() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Creates a header for this index structure.

createLeafNodes(List<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Creates and returns the leaf nodes for bulk load.

createNewDirectoryEntry(N, Integer, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Creates a new directory entry representing the specified node.

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

Creates a new directory entry representing the specified node.

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

Creates a new directory entry representing the specified node.

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

Creates a new directory entry representing the specified node.

createNewDirectoryEntry(MkTabTreeNode<O, D>, Integer, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTree

Creates a new directory entry representing the specified node.

createNewDirectoryEntry(MTreeNode<O, D>, Integer, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree

createNewDirectoryEntry(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Creates a new directory entry representing the specified node.

createNewDirectoryEntry(DeLiCluNode) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Creates a new directory entry representing the specified node.

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

Creates a new directory entry representing the specified node.

createNewDirectoryEntry(RStarTreeNode) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Creates a new directory node with the specified capacity.

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

Creates a new directory node with the specified capacity.

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

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTreeNode

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTreeNode

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTreeNode

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode

Creates a new directory node with the specified capacity.

createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Creates a new directory node with the specified capacity.

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

Creates and returns a new deap as last element of the cache path.

createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Creates a new leaf entry representing the specified data object in the specified subtree.

createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTree

Creates a new leaf entry representing the specified data object in the specified subtree.

createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

Creates a new leaf entry representing the specified data object in the specified subtree.

createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

Creates a new leaf entry representing the specified data object in the specified subtree.

createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTree

Creates a new leaf entry representing the specified data object in the specified subtree.

createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree

createNewLeafEntry(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Creates a new leaf entry representing the specified data object in the specified subtree.

createNewLeafEntry(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Creates a new leaf entry representing the specified data object.

createNewLeafEntry(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Creates a new leaf entry representing the specified data object.

createNewLeafEntry(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Creates a new leaf node with the specified capacity.

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

Creates a new leaf node with the specified capacity.

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

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTreeNode

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTreeNode

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTree

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTreeNode

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode

Creates a new leaf node with the specified capacity.

createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Creates a new leaf node with the specified capacity.

createNewRoot(N, N, Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Creates a new root node that points to the two specified child nodes and return the path to the new root.

createNewRoot(N, N) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Creates a new root node that points to the two specified child nodes and return the path to the new root.

createRoot(N, List<SpatialObject>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree

Returns a root node for bulk load.

createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTree

Creates an entry representing the root node.

createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

Creates an entry representing the root node.

createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

Creates an entry representing the root node.

createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTree

Creates an entry representing the root node.

createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree

Creates an entry representing the root node.

createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Creates an entry representing the root node.

createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Creates an entry representing the root node.

createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree

Creates an entry representing the root node.

createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Creates an entry representing the root node.

currentParameterArray - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

Holds the currently set parameter array.

currentParameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionHandler

Holds the parameter array as given to the last call of grabOptions(String[]).

currentRepresentationIndex - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction

The index of the current representation.