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

c - Static variable in class de.lmu.ifi.dbs.elki.math.ErrorFunctions

cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction

cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction

cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

cache - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction

Cache for objects not handled by the preprocessor

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_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

OptionID for CacheDoubleDistanceInOnDiskMatrix.CACHE_PARAM

CACHE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

OptionID for CacheFloatDistanceInOnDiskMatrix.CACHE_PARAM

CACHE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Parameter that specifies the name of the directory to be re-parsed.

CACHE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Parameter that specifies the name of the directory to be re-parsed.

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

OptionID for TreeIndex.CACHE_SIZE_PARAM

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

Parameter to specify the size of the cache in bytes, must be an integer equal to or greater than 0.

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.

CacheDoubleDistanceInOnDiskMatrix<O extends DatabaseObject,N extends NumberDistance<N,D>,D extends Number> - Class in de.lmu.ifi.dbs.elki.application.cache

Wrapper to convert a traditional text-serialized result into a on-disk matrix for random access.

CacheDoubleDistanceInOnDiskMatrix() - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Constructor.

CacheFloatDistanceInOnDiskMatrix<O extends DatabaseObject,N extends NumberDistance<N,D>,D extends Number> - Class in de.lmu.ifi.dbs.elki.application.cache

Wrapper to convert a traditional text-serialized result into a on-disk matrix for random access.

CacheFloatDistanceInOnDiskMatrix() - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Constructor.

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.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction

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

Holds the value of TreeIndex.CACHE_SIZE_PARAM.

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

The maximum number of objects in this cache.

calcCos(KernelMatrix<V>, Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

Compute the cosinus value between vectors aKey and bKey.

calcDenominator(KernelMatrix<V>, Integer, Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

calcDistsandNN(Database<V>, KernelMatrix<V>, int, Integer, HashMap<Integer, Double>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

calcDistsandRNDSample(Database<V>, KernelMatrix<V>, int, Integer, HashMap<Integer, Double>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

calcFastNormalization(Integer, HashMap<Integer, Double>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

calcNormalization(Integer, HashMap<Integer, Double>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

calcNumerator(KernelMatrix<V>, Integer, Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

calcScales(Database<O>) - Static method in class de.lmu.ifi.dbs.elki.visualization.scales.Scales

Compute a linear scale for each dimension.

candidates - Variable in class de.lmu.ifi.dbs.elki.utilities.QueryStatistic

The number of candidate objects which need a refinement.

CARRIAGE_RETURN - Static variable in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger

Carriage return character.

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

Provides the CASH algorithm, an 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, adding parameters CASH.MINPTS_PARAM, CASH.MAXLEVEL_PARAM, CASH.MINDIM_PARAM, CASH.JITTER_PARAM, and flag CASH.ADJUST_FLAG to the option handler additionally to parameters of super class.

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

Provides a unique interval represented by its id, a hyper bounding box representing the alpha intervals, an interval of the corresponding 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.

castWithGenericsOrNull(Class<B>, Object) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil

Cast an object at a base class, but return a subclass (for Generics!).

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

center - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SODModel

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

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

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

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

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.

centerValues - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SODModel

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

The centroid of this cluster.

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

The centroids of this cluster along each dimension.

centroid - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution

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

centroid - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationModel

The centroid of this cluster.

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

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.DatabaseUtil

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<V>, Iterator<Integer>, BitSet) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil

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.DatabaseUtil

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

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

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

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.

charsSinceNewline - Variable in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger

Flag to signal if we have had a newline recently.

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<Pair<BitSet, DatabaseObjectGroupCollection<List<Integer>>>>>) - 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.

checkCSSStatement(String, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Validate a single CSS statement.

checkCSSStatements(Collection<Pair<String, String>>) - Static method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Validate a set of CSS statements.

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

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

CheckELKIProperties - Class in de.lmu.ifi.dbs.elki.application.internal

Helper application to test the ELKI properties file for "missing" implementations.

CheckELKIProperties() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties

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) *

checkName(String) - Static method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Verify that the name is an admissible CSS class name.

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

checkProperties() - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties

Retrieve all properties and check them.

checkProperty(String) - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties

Check a single property

children - Variable in class de.lmu.ifi.dbs.elki.data.cluster.SimpleHierarchy

Storage for children

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.

chisq - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Chi-Squared information for parameters

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<N>) - 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_ID - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

OptionID for AbstractDatabaseConnection.CLASS_LABEL_CLASS_PARAM

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

Parameter to specify the association of occurring class labels, must extend ClassLabel.

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

OptionID for AbstractDatabaseConnection.CLASS_LABEL_INDEX_PARAM

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

OptionID for RealVectorLabelParser.CLASS_LABEL_INDEX_PARAM

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

Optional parameter that specifies the index of the label to be used as class label, must be an integer equal to or greater than 0.

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.

ClassGenericsUtil - Class in de.lmu.ifi.dbs.elki.utilities

Utils for handling class instantiation especially with respect to Java generics.

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

ClassLabel - 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.database.connection.AbstractDatabaseConnection

Holds the value of AbstractDatabaseConnection.CLASS_LABEL_CLASS_PARAM.

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

Holds the value of AbstractDatabaseConnection.CLASS_LABEL_INDEX_PARAM, 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.

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

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

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

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

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

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

classNames - Variable in class de.lmu.ifi.dbs.elki.properties.IterateKnownImplementations

Class names array

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

Parameter class for a parameter specifying a class name.

ClassParameter(OptionID, Class<?>) - 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<?>, 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<?>, 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.

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.OnDiskArrayPageFile

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.

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

Clears the values of this statistic.

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.mktrees.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.mktrees.mkmax.MkMaxTree

Clears the values of the statistic for performed rknn queries

clickisout - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.CSSHoverClass

Consider a click as 'out'?

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

Configuration file name

clipmax - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

clipmin - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Clipping vectors.

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

Provides the CLIQUE algorithm, adding parameters CLIQUE.XSI_PARAM, CLIQUE.TAU_PARAM, and flag CLIQUE.PRUNE_FLAG to the option handler additionally to parameters of super class.

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.

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

Handler that handles output to the console with clever formatting.

CLISmartHandler(OutputStream, OutputStream) - Constructor for class de.lmu.ifi.dbs.elki.logging.CLISmartHandler

Constructor

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

Default constructor using System.out and System.err

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

Return a clone of the affine transformation

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

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

Close output streams.

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

Close command - will be IGNORED.

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

Explicitly close the file.

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

Closes this file.

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

Close the matrix file.

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.

closeAllStreams() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

Close (and forget) all output streams.

closeAllStreams() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput

Close output stream.

closeAllStreams() - Method in interface de.lmu.ifi.dbs.elki.result.textwriter.StreamFactory

Close (and forget) all streams the factory has opened.

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

Cluster<M extends Model> - Class in de.lmu.ifi.dbs.elki.data.cluster

Generic cluster class, that may or not have hierarchical information.

Cluster(String, DatabaseObjectGroup, boolean, M, HierarchyImplementation<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Full constructor

Cluster(String, DatabaseObjectGroup, boolean, M, List<Cluster<M>>, List<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor with hierarchy information.

Cluster(String, DatabaseObjectGroup, boolean, M) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor without hierarchy information.

Cluster(String, DatabaseObjectGroup, M) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor without hierarchy information.

Cluster(DatabaseObjectGroup, boolean, M) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor without hierarchy information and name

Cluster(DatabaseObjectGroup, M) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor without hierarchy information and name

Cluster(String, DatabaseObjectGroup, boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor without hierarchy information and model

Cluster(String, DatabaseObjectGroup) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor without hierarchy information and model

Cluster(DatabaseObjectGroup, boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor without hierarchy information and name and model

Cluster(DatabaseObjectGroup) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor without hierarchy information and name and model

Cluster(String, DatabaseObjectGroup, M, HierarchyImplementation<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor with hierarchy but noise flag defaulting to false.

Cluster(String, DatabaseObjectGroup, M, List<Cluster<M>>, List<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Constructor with hierarchy information, but no noise flag.

CLUSTER - Static variable in class de.lmu.ifi.dbs.elki.data.model.ClusterModel

Static cluster model that can be shared for all clusters (since the object doesn't include meta information.

clustering - Variable in class de.lmu.ifi.dbs.elki.data.cluster.naming.SimpleEnumeratingScheme

Clustering this scheme is applied to.

Clustering<M extends Model> - Class in de.lmu.ifi.dbs.elki.data

Result class for clusterings.

Clustering(List<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.Clustering

Constructor with a list of top level clusters

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

Constructor for an empty clustering

CLUSTERING_EMPTY - Static variable in interface de.lmu.ifi.dbs.elki.utilities.ExceptionMessages

Message when an empty clustering is encountered.

ClusteringAlgorithm<C extends Clustering<? extends Model>,O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering

Interface for Algorithms that are capable to provide a Clustering as Result.

ClusterModel - Class in de.lmu.ifi.dbs.elki.data.model

Generic cluster model.

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

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 - Variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult

Cluster order storage

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

Provides an entry in a cluster order.

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

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

ClusterOrderResult<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.result

Class to store the result of an ordering clustering algorithm such as OPTICS.

ClusterOrderResult() - Constructor for class de.lmu.ifi.dbs.elki.result.ClusterOrderResult

Constructor

clusterRandom - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Random generator used for initializing cluster generators.

clusters - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain

List of clusters to generate

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].

col - Variable in class de.lmu.ifi.dbs.elki.result.CollectionResult

The collection represented.

colIDs - Variable in class de.lmu.ifi.dbs.elki.data.model.Bicluster

The ids of the rows included in the bicluster.

CollectionResult<O> - Class in de.lmu.ifi.dbs.elki.result

Simple 'collection' type of result.

CollectionResult(Collection<O>, Collection<String>) - Constructor for class de.lmu.ifi.dbs.elki.result.CollectionResult

Constructor

CollectionResult(Collection<O>) - Constructor for class de.lmu.ifi.dbs.elki.result.CollectionResult

Constructor

collectOptions(List<Pair<Parameterizable, Option<?>>>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

Get all possible options.

collectOptions(List<Pair<Parameterizable, Option<?>>>) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable

Fill the given collection with a list of available options.

ColorLibrary - Interface in de.lmu.ifi.dbs.elki.visualization.colors

Color scheme interface

colors - Static variable in class de.lmu.ifi.dbs.elki.visualization.colors.PublicationColorLibrary

These colors are hand-picked to provide reasonable contrast and readability.

colors - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.MinimalMarkers

Color library

colors - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.PrettyMarkers

Color library

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

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

The comment character.

comment - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Buffer for comment data to output.

commentPrint(Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Print an object into the comments section

commentPrintLn(Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Print an object into the comments section with trailing newline.

commentPrintLn() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Print a newline into the comments section.

commentPrintSeparator() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Print a separator line in the comments section.

COMMENTS - Static variable in class de.lmu.ifi.dbs.elki.properties.IterateKnownImplementations

Pattern to detect comments

COMMENTSEP - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Comment separator line.

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

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

comparator - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromAssociation

Internal comparator to use for sorting.

comparator - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromHashMap

Comparator to use when sorting

comparator - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.CompareByFirst

A comparator for type P.

comparator - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.CompareBySecond

A comparator for type P.

compare(Class<?>, Class<?>) - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.SortByName

compare(OptionID, OptionID) - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.SortByOption

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(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromAssociation.DerivedComparator

compare(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromAssociation.ImpliedComparator

compare(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromHashMap.DerivedComparator

compare(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromHashMap.ImpliedComparator

compare(CPair<FIRST, SECOND>, CPair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.CPair.CompareSwapped

Compare by second component, using the ComparableSwapped interface.

compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.Compare

Two Objects of type Pair are compared based on the comparison of their property using the comparators Pair.Compare.fcomparator, then Pair.Compare.scomparator.

compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.CompareByFirst

To Objects of type Pair are compared based on the comparison of their property using the current Pair.CompareByFirst.comparator.

compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.CompareBySecond

To Objects of type Pair are compared based on the comparison of their property using the current Pair.CompareBySecond.comparator.

compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.CompareSwapped

Two Objects of type Pair are compared based on the comparison of their property using the given comparators Pair.CompareSwapped.scomparator, then Pair.CompareSwapped.fcomparator.

compareClusterings(R, S, double) - Static method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.PairCountingFMeasure

Compare two clustering results.

compareClusterings(R, S) - Static method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.PairCountingFMeasure

Compare two clustering results.

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

The dimension for comparison.

compareSwappedTo(CPair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.CPair

Generic derived compare function, with swapped components.

compareSwappedTo(DoubleDoublePair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair

Implementation of comparableSwapped interface, sorting by second then first.

compareSwappedTo(DoubleIntPair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair

Implementation of comparableSwapped interface, sorting by second then first.

compareSwappedTo(IntDoublePair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair

Implementation of comparableSwapped interface, sorting by second then first.

compareSwappedTo(IntIntPair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair

Implementation of comparableSwapped interface, sorting by second then first.

compareTo(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) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair

Compares this object with the specified object for order.

compareTo(Identifiable) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS.COEntry

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(SODModel<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SODModel

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

Compares two HierarchicalClassLabels.

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

Compares this interval with the specified interval for order.

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

Compares two RationalNumbers a/b and c/d.

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

Compares this CorrelationDistance with the given CorrelationDistance wrt the represented correlation values.

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

Compares this NumberDistance with the given NumberDistance wrt the represented value.

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

Checks if the dimensionality values of this distance and the specified distance are equal.

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

Compares this SubspaceDistance with the given SubspaceDistance wrt the represented subspace distance values.

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(Identifiable) - Method in class de.lmu.ifi.dbs.elki.result.ClusterOrderEntry

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

Compares this object with the specified object for order.

compareTo(CPair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.CPair

Generic derived compare function.

compareTo(CTriple<FIRST, SECOND, THIRD>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.CTriple

Generic derived compare function.

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

Implementation of comparable interface, sorting by first then second.

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

Implementation of comparable interface, sorting by first then second.

compareTo(FCPair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.FCPair

Generic derived compare function.

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

Implementation of comparable interface, sorting by first then second.

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

Implementation of comparable interface, sorting by first then second.

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

Indicates the comparison value (min or max).

complete() - Method in class de.lmu.ifi.dbs.elki.utilities.progress.FiniteProgress

Test whether the progress was completed.

complete() - Method in class de.lmu.ifi.dbs.elki.utilities.progress.IndefiniteProgress

Return whether the progress is complete

complete() - Method in interface de.lmu.ifi.dbs.elki.utilities.progress.Progress

Test whether a progress is complete (and thus doesn't need to be shown anymore)

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.

completed - Variable in class de.lmu.ifi.dbs.elki.utilities.progress.IndefiniteProgress

Store completion flag.

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.

component - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer

Component the ratio applies to.

component - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.RunWhenReadyAndVisible

The component we are attached to, and that we might need to unregister with.

componentResized(ComponentEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer

React to a component resize event.

CompositeEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

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

CompositeEigenPairFilter() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter

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

computeAUC(Iterable<Pair<Double, Double>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC

compute the Area Under Curve (difference to y axis) for an arbitrary polygon

computeBadMedoids(Map<Integer, PROCLUS<V>.PROCLUSCluster>, 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 objects is bad.

computeClusters(Database<V>, ClusterOrderResult<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(V, V) - 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

Computes the set of medoids in current iteration.

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.

computeOffset(int, int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix

Compute the offset within the file.

computeROCAUCDistanceResult(int, Cluster<?>, List<DistanceResultPair<D>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC

Compute a ROC curves Area-under-curve for a QueryResult and a Cluster.

computeROCAUCDistanceResult(int, Collection<Integer>, List<DistanceResultPair<D>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC

Compute a ROC curves Area-under-curve for a QueryResult and a Cluster.

computeROCAUCSimple(int, Collection<Integer>, List<Integer>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC

Compute a ROC curves Area-under-curve for a QueryResult and a Cluster.

ComputeROCCurve<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.evaluation

Compute a ROC curve to evaluate a ranking algorithm and compute the corresponding ROCAUC value.

ComputeROCCurve() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve

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.

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

Configuration base

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

Static instance of the configuration

CONFIGFILE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

OptionID for GeneratorXMLSpec.CONFIGFILE_PARAM

CONFIGFILE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Parameter to give the configuration file

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.mktrees.mkcop.MkCoPDirectoryEntry

The conservative approximation.

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

The conservative approximation.

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

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.

ConstantWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions

Constant Weight function The result is always 1.0

ConstantWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.ConstantWeight

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

Returns 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(K, V) - Method in class de.lmu.ifi.dbs.elki.utilities.HashMapList

Test if a given value is already present for the key.

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.

contains(String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager

Check if a name is already used in the classes.

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, Map<Pair<Integer, 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.

containsKey(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.HashMapList

Check that there is at least one value for the key.

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.

CONTENT_TYPE_CSS - Static variable in class de.lmu.ifi.dbs.elki.utilities.xml.HTMLUtil

CSS content type

CONTENT_TYPE_HTML - Static variable in class de.lmu.ifi.dbs.elki.utilities.xml.HTMLUtil

HTML content type

CONTENT_TYPE_HTML_UTF8 - Static variable in class de.lmu.ifi.dbs.elki.utilities.xml.HTMLUtil

HTML content type with UTF-8 indication

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.mktrees.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.mktrees.mkcop.ConvexHull

Creates a new convex hull for the specified distances.

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

Provides the COPAC algorithm, an 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

Adds parameters COPAC.PREPROCESSOR_PARAM, COPAC.PARTITION_ALGORITHM_PARAM, and COPAC.PARTITION_DB_PARAM to the option handler additionally to parameters of 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.SortedEigenPairs

Returns a deep copy of this object

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 containing the same objects as are contained in the given array.

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

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.data.model.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.data.model.CorrelationAnalysisSolution

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

correlationDimensionality - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution

The dimensionality of the correlation.

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

The correlation distance 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 consisting of the specified correlation value and euclidean value.

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

Computes the correlation distance between the two specified vectors.

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

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

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

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

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

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

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

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

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

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

CorrelationModel<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.data.model

Cluster model using a filtered PCA result and an centroid.

CorrelationModel(PCAFilteredResult, V) - Constructor for class de.lmu.ifi.dbs.elki.data.model.CorrelationModel

Constructor

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

Cosine distance function for feature vectors.

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

Provides a CosineDistanceFunction.

count - Variable in class de.lmu.ifi.dbs.elki.math.MeanVariance

Number of Samples.

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

Counter to provide a new Integer id.

countNonNewline(char[], int, int) - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger

Count the number of non-newline characters before first newline in the string.

countNonNewline(String, int, int) - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger

Count the number of non-newline characters before first newline in the string.

countPairs(PairSortedGeneratorInterface, PairSortedGeneratorInterface, double) - Static method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.PairCountingFMeasure

Compare two sets of generated pairs.

countSharedNeighbors(SortedSet<Integer>, SortedSet<Integer>) - Static method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction

countStrongEigenPairs() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FilteredEigenPairs

Counts the strong eigenpairs.

countWeakEigenPairs() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FilteredEigenPairs

Counts the strong eigenpairs.

COVARIANCE_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Parameter to specify the class to compute the covariance matrix. must be a subclass of CovarianceMatrixBuilder.

covarianceMatrix - Variable in class de.lmu.ifi.dbs.elki.data.model.EMModel

Cluster covariance matrix

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

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.DatabaseUtil

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

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

Determines the covariance matrix of the objects stored in the given database w.r.t. the given centroid.

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

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

CovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Abstract class with the task of computing a Covariance matrix to be used in PCA.

CovarianceMatrixBuilder() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder

covarianceMatrixBuilder - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

The covariance computation class.

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.

covmat - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Working space for covariance matrix

CPair<FIRST extends Comparable<FIRST>,SECOND extends Comparable<SECOND>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Pair with canonical comparison function derived from generics.

CPair(FIRST, SECOND) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.CPair

Initialize pair

CPair.CompareSwapped<FIRST extends Comparable<FIRST>,SECOND extends Comparable<SECOND>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Class to do a canonical swapped comparison on this class.

CPair.CompareSwapped() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.CPair.CompareSwapped

createDBObject(List<Double>) - Method in class de.lmu.ifi.dbs.elki.parser.DoubleVectorLabelParser

Creates a DoubleVector out of the given attribute values.

createDBObject(List<Double>) - Method in class de.lmu.ifi.dbs.elki.parser.FloatVectorLabelParser

Creates a FloatVector out of the given attribute values.

createDBObject(List<Double>) - Method in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser

Creates a database object of type V.

createDBObject(List<Double>) - Method in class de.lmu.ifi.dbs.elki.parser.SparseFloatVectorLabelParser

Creates a DoubleVector out of the given attribute values.

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.mktrees.AbstractMkTree

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 which is an instance of TreeIndexHeader.

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

Creates a new directory entry representing the specified node.

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

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

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

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

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

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.

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

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

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

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

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

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

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.mktrees.mkapp.MkAppTree

Creates an entry representing the root node.

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

Creates an entry representing the root node.

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

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

Creates an entry representing the root node.

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

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.

CSS_AXIS - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis

CSS class name for the axes

CSS_AXIS_LABEL - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis

CSS class name for the axes

CSS_AXIS_TICK - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis

CSS class name for the axes

cssclass - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.AddCSSClass

Class to set

cssclass - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.RemoveCSSClass

Class to set

CSSClass - Class in de.lmu.ifi.dbs.elki.visualization.css

Class representing a single CSS class.

CSSClass(Object, String, Collection<Pair<String, String>>) - Constructor for class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Full constructor

CSSClass(Object, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Simplified constructor, empty statements list.

CSSClass(Object, String, CSSClass) - Constructor for class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Cloning constructor

CSSClass.InvalidCSS - Exception in de.lmu.ifi.dbs.elki.visualization.css

Exception class thrown when encountering invalid CSS.

CSSClass.InvalidCSS(String) - Constructor for exception de.lmu.ifi.dbs.elki.visualization.css.CSSClass.InvalidCSS

Constructor.

CSSClassManager - Class in de.lmu.ifi.dbs.elki.visualization.css

Manager class to track CSS classes used in a particular SVG document.

CSSClassManager() - Constructor for class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager

CSSClassManager.CSSNamingConflict - Exception in de.lmu.ifi.dbs.elki.visualization.css

Class to signal a CSS naming conflict.

CSSClassManager.CSSNamingConflict(String) - Constructor for exception de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager.CSSNamingConflict

Exception to signal a CSS naming conflict.

CSSFILE - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

CSSHoverClass - Class in de.lmu.ifi.dbs.elki.visualization.batikutil

Do a hover effect using a CSS class.

CSSHoverClass(String, String, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.CSSHoverClass

Constructor

CSSHoverClass(String, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.CSSHoverClass

Constructor without 'clickisout' option.

cssman - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

CSS class manager

CTriple<FIRST extends Comparable<FIRST>,SECOND extends Comparable<SECOND>,THIRD extends Comparable<THIRD>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Triple with canonical comparison function.

CTriple(FIRST, SECOND, THIRD) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.CTriple

Constructor with fields

cur - Variable in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGenerator

Current pair

cur - Variable in class de.lmu.ifi.dbs.elki.properties.IterateKnownImplementations

Current class = next iterator value

cur - Variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator

current() - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGenerator

Return current pair.

current() - Method in interface de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGeneratorInterface

Return current pair.

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

Holds the currently set parameter array.

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

The index of the current representation.

curve - Variable in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow