A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

A

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

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

Angle-Based Outlier Detection Outlier detection using variance analysis on angles, especially for high dimensional data sets.

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

Constructor

ABOD_NORM - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

Association ID for ABOD Normalization value.

ABOD_SCORE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

Association ID for ABOD.

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

Exception for aborting some process and transporting a message.

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

Exception for aborting some process and transporting a message.

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

Exception for aborting some process and transporting a message.

absolute - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter

Indicates whether delta is an absolute or a relative value.

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

Indicates whether delta is an absolute or a relative value.

ABSOLUTE_FLAG - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter

"absolute" Flag

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

Flag for marking parameter delta as an absolute value.

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

AbstractAlgorithm sets the values for flags verbose and time.

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

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

AbstractApplication - Class in de.lmu.ifi.dbs.elki.application

AbstractApplication sets the values for flags verbose and help.

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

Adds the flags AbstractApplication.VERBOSE_FLAG and AbstractApplication.HELP_FLAG to the option handler.

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

Abstract super class for correlation based distance functions.

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

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

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

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

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

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

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

Abstract super class for all database connections.

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

Adds parameters AbstractDatabaseConnection.DATABASE_PARAM, AbstractDatabaseConnection.CLASS_LABEL_INDEX_PARAM, AbstractDatabaseConnection.CLASS_LABEL_CLASS_PARAM, and AbstractDatabaseConnection.EXTERNAL_ID_INDEX_PARAM, to the option handler additionally to parameters of super class.

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

Abstract super class for all database objects.

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

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

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

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

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

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

An abstract distance implements equals conveniently for any extending class.

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

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

AbstractDistanceFunction provides some methods valid for any extending class.

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

Provides an abstract DistanceFunction based on the given pattern.

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

Provides an abstract DistanceFunction.

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

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

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

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

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

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

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

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

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

Provides the Edit Distance for NumberVectors.

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

Provides a Dynamic Time Warping distance function that can compute the Dynamic Time Warping distance (that is a DoubleDistance) for NumberVectors.

AbstractEditDistanceFunction.Step - Enum in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

AbstractEditDistanceFunction.Step() - Constructor for enum de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction.Step

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

Abstract superclass for entries in an tree based index structure.

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

Empty constructor for serialization purposes.

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

Provides a new AbstractEntry with the specified id.

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

Provides a DistanceFunction that is based on FloatDistance.

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

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

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

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

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

AbstractKernelFunction provides some methods valid for any extending class.

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

Provides an abstract KernelFunction based on the given pattern.

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

Provides an abstract KernelFunction.

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

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

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

Provides an abstract locally weighted distance function.

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

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

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

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

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

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

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

Abstract implementation of interface MeasurementFunction that provides some methods valid for any extending class.

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

Provides an abstract MeasurementFunction based on the given pattern.

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

Provides an abstract MeasurementFunction.

AbstractMkTree<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Abstract class for all M-Tree variants supporting processing of reverse k-nearest neighbor queries by using the k-nn distances of the entries, where k is less than or equal to the specified parameter AbstractMkTree.K_MAX_PARAM.

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

Adds parameter AbstractMkTree.K_MAX_PARAM to the option handler additionally to parameters of super class.

AbstractMTree<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Abstract super class for all M-Tree variants.

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

Provides a new abstract M-Tree and adds parameter AbstractMTree.DISTANCE_FUNCTION_PARAM to the option handler additionally to parameters of super class.

AbstractMTree.SplitResult - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Encapsulates a split object and the newly created node.

AbstractMTree.SplitResult(MTreeSplit<O, D, N, E>, N) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.SplitResult

AbstractMTreeNode<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Abstract super class for nodes in M-Tree variants.

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

Empty constructor for Externalizable interface.

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

Creates a new MTreeNode with the specified parameters.

AbstractNode<N extends AbstractNode<N,E>,E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree

Abstract superclass for nodes in an tree based index structure.

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

Empty constructor for Externalizable interface.

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

Creates a new Node with the specified parameters.

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

Abstract super class for all normalizations.

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

Initializes the option handler and the parameter map.

AbstractNumberConstraint<P> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

Abstract super class for constraints dealing with a certain number value.

AbstractNumberConstraint(Number) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.AbstractNumberConstraint

Creates an abstract number constraint.

AbstractPage<P extends AbstractPage<P>> - Class in de.lmu.ifi.dbs.elki.persistent

Abstract superclass for pages.

AbstractPage() - Constructor for class de.lmu.ifi.dbs.elki.persistent.AbstractPage

Empty constructor for Externalizable interface.

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

Provides a new page object.

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

Abstract superclass for classes parameterizable.

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

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

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

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

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

AbstractParser already provides the option handler.

AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends RealVector<V,?>,P extends PreferenceVectorPreprocessor<V>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Abstract super class for all preference vector based correlation distance functions.

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

Provides a preference vector based CorrelationDistanceFunction, adding parameter AbstractPreferenceVectorBasedCorrelationDistanceFunction.EPSILON_PARAM to the option handler additionally to parameters of super class.

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

Abstract super class for distance functions needing a preprocessor.

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

Provides a super class for distance functions needing a preprocessor

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

Abstract super class for distance functions needing a preprocessor.

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

Provides a super class for distance functions needing a preprocessor

AbstractProgress - Class in de.lmu.ifi.dbs.elki.utilities.progress

Abstract base class for FiniteProgress objects.

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

Default constructor.

AbstractRStarTree<O extends NumberVector<O,?>,N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants

Abstract superclass for index structures based on a R*-Tree.

AbstractRStarTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

AbstractRStarTreeNode<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants

Abstract superclass for nodes in a R*-Tree.

AbstractRStarTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode

Empty constructor for Externalizable interface.

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

Creates a new AbstractRStarTreeNode with the specified parameters.

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

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

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

Returns the absolute value of this rational number.

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

Last ratio of the Canvas applied

adapatedStrongEigenvectors - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

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

adapatedStrongEigenvectors() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

Returns a copy of the adapted strong eigenvectors.

adaptedCoefficientOfDetermination() - Method in class de.lmu.ifi.dbs.elki.math.statistics.PolynomialRegression

Returns the adapted coefficient of determination

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

Adds a new object to this list.

add(Integer, Integer, D) - Method in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult

Add an object to the cluster order.

add(ClusterOrderEntry<D>) - Method in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult

Add an object ot the cluster order.

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

Add a single value to the given key.

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

Add a reflection along the given axis.

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

Adds the specified number to the number of the candidate objects.

addClass(CSSClass) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager

Add a single class to the map.

addCluster(Cluster<M>) - Method in class de.lmu.ifi.dbs.elki.data.Clustering

Add a cluster to the clustering.

addCluster(GeneratorInterface) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain

Add a cluster to the cluster list.

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

Adds a parameter constraint to the list of parameter constraints.

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

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

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

Add a CSS class to the event target.

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

Constructor

addCSSClass(Element, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Add a CSS class to an Element.

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

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

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

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

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

Adds the specified dense unit to this subspace.

addDirectoryEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Adds a new directory entry to this node's children and returns the index of the entry in this node's children array.

addDirectoryEntry(E) - Method in interface de.lmu.ifi.dbs.elki.index.tree.Node

Adds a new directory entry to this node's children and returns the index of the entry in this node's children array.

addDiscarded(int) - Method in interface de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorInterfaceDynamic

Indicate that points were discarded.

addDiscarded(int) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Increase number of discarded points

addEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Adds the specified entry to the entries array and increases the numEntries counter.

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

Adds the id of the specified feature vector to this unit, if this unit contains the feature vector.

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

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

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

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

addGenerator(Distribution) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Add a new generator to the cluster.

addHeader(String) - Method in class de.lmu.ifi.dbs.elki.result.CollectionResult

Add header information

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

Returns the additive inverse of this RationalNumber.

addLeafEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Adds a new leaf entry to this node's children and returns the index of the entry in this node's children array.

addLeafEntry(E) - Method in interface de.lmu.ifi.dbs.elki.index.tree.Node

Adds a new leaf entry to this node's children and returns the index of the entry in this node's children array.

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

Add a matrix operation to the matrix.

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

Adds a node to this heap.

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

Adds a node to this heap.

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

Adds a node to this heap.

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

Adds a node to this heap.

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

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

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

Add an option to the settings list.

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

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

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

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

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

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

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

Add a new parameterizable to the list.

addParameterizable(Parameterizable, List<OptionID>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

Add a new parameterizable to the list.

addParameters(List<String>, Iterable<String>) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil

Appends the given options to the parameter list.

addParameters(List<String>, String[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil

Appends the given options to the parameter list.

addResult(Result) - Method in class de.lmu.ifi.dbs.elki.result.MultiResult

Add a new result to the object

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

Adds the specified number to the number of the result objects.

addRotation(int, int, double) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Apply a rotation to the generator

addRotation(int, int, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation

Convenience function to apply a rotation in 2 dimensions.

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

Simple linear (symmetric) scaling.

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

Adds a new setting to this settings.

addToList(List<O>, O[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Adds the entries of the specified array to the end of the given list.

addTranslation(Vector) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Add a translation to the generator

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

Add a translation operation to the matrix

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

Adds the specified number to the number of the true hits.

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

Holds the value of CASH.ADJUST_FLAG.

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

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

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

Adjusts the entries of the specified parent with its sons.

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

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

ADJUST_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

OptionID for CASH.ADJUST_FLAG

adjustApproximatedKNNDistances(MkAppEntry<D, N>, Map<Integer, KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

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

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

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

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

Adjusts the parameters of the entry representing this node (e.g. after insertion of new objects).

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

Adjusts the parameters of the entry representing this node.

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

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

Calls the super method and adjust additionally the k-nearest neighbor distance of this node as the maximum of the k-nearest neighbor distances of all its entries.

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

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

Adjusts the parameters of the entry representing this node.

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

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

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

Adjusts the first deap recursively with its sons.

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

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

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

Adjusts the tree after insertion of some nodes.

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

Adjusts the tree after insertion of some nodes.

advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorMerge

Advance iterator and return next pair.

advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorNoise

Advance iterator and return new pair.

advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorSingleCluster

Advance iterator

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

Main advance method.

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

The affine distance.

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

Affine transformations implemented using homogeneous coordinates.

AffineTransformation(int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation

Constructor for an identity transformation.

AffineTransformation(int, Matrix, Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation

Trivial constructor with all fields, mostly for cloning

Algorithm<O extends DatabaseObject,R extends Result> - Interface in de.lmu.ifi.dbs.elki.algorithm

Specifies the requirements for any algorithm that is to be executable by the main class.

algorithm - Variable in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve

Holds the algorithm to run.

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

Holds the algorithm to run.

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

OptionID for KDDTask.ALGORITHM_PARAM

ALGORITHM_PARAM - Variable in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve

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

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

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

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

OptionID for AbstractAlgorithm.TIME_FLAG

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

OptionID for AbstractAlgorithm.VERBOSE_FLAG

AllOrNoneMustBeSetGlobalConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

Global parameter constraint specifying that either all elements of a list of parameters (Parameter) must be set, or none of them.

AllOrNoneMustBeSetGlobalConstraint(List<Parameter<?, ?>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.AllOrNoneMustBeSetGlobalConstraint

Constructs a global parameter constraint for testing if either all elements of a list of parameters are set or none of them.

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

Compare two matrices with a delta parameter to take numerical errors into account.

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

Compare two matrices with a delta parameter to take numerical errors into account.

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

Holds the value of ORCLUS.ALPHA_PARAM.

alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI

Holds the value of LOCI.ALPHA_PARAM.

alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD

Holds the value of SOD.ALPHA_PARAM.

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

Working space for alphas

alpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter

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

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

The maximum allowed variance along a coordinate axis.

ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

OptionID for ORCLUS.ALPHA_PARAM.

ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI

OptionID for LOCI.ALPHA_PARAM

ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD

OptionID for SOD.ALPHA_PARAM

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

OptionID for HiSCPreprocessor.ALPHA_PARAM

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

Parameter to specify the factor for reducing the number of current clusters in each iteration, must be an integer greater than 0 and less than 1.

ALPHA_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI

Parameter to specify the averaging neighborhood scaling Key: -loci.alpha Default: 0.5

ALPHA_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD

Parameter to indicate the multiplier for the discriminance value for discerning small from large variances.

ALPHA_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter

Parameter alpha.

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

Alpha parameter

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

Holds the alpha values of the global extremum.

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

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

AnnotationFromDatabase<T,O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.result

Class representing Annotations backed by a database using AssociationIDs.

AnnotationFromDatabase(Database<O>, AssociationID<T>) - Constructor for class de.lmu.ifi.dbs.elki.result.AnnotationFromDatabase

Constructor

AnnotationFromHashMap<T> - Class in de.lmu.ifi.dbs.elki.result

Annotations backed by hashmaps.

AnnotationFromHashMap(AssociationID<T>, HashMap<Integer, T>) - Constructor for class de.lmu.ifi.dbs.elki.result.AnnotationFromHashMap

Constructor

AnnotationResult<T> - Interface in de.lmu.ifi.dbs.elki.result

The AnnotationResult interface.

AnyMap<K> - Class in de.lmu.ifi.dbs.elki.utilities

Associative storage based on a HashMap for multiple object types that offers a type checked AnyMap.get(Object, Class) method.

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

Constructor

appendClassLink(Document, Option<?>, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

appendClassRestriction(Document, ClassParameter<?>, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

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

Returns a matrix which consists of this matrix and the specified columns.

appendCSSDefinition(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Append CSS definition to a stream

appendDefaultValueIfSet(Document, Parameter<?, ?>, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

appendKnownImplementationsIfNonempty(Document, ClassParameter<?>, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

appendMultilineText(Document, Element, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.xml.HTMLUtil

Append a multiline text to a node, transforming linewraps into BR tags.

appendNoClassRestriction(Document, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

appendNoDefaultValue(Document, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

appendToBuffer(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.progress.AbstractProgress

Serialize a description into a String buffer.

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

Append a string representation of the progress to the given string buffer.

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

Serialize 'indefinite' progress.

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

Serialize a description into a String buffer.

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

Apply the transformation onto a vector

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

Apply the inverse transformation onto a vector

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

Apply the transformation onto a vector

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

Apply the inverse transformation onto a vector

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

Returns the conservative approximated knn distance of the entry.

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

Returns the conservative approximated knn distance of the entry.

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

Returns the conservative approximated knn distance of the entry.

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

Returns the approximated value at the specified k.

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

Returns the approximated value at the specified k.

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

Returns the approximated value at the specified k.

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

Computes the polynomial approximation of the specified knn-distances.

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

Computes logarithmic skew (fractal dimension ie. m) and in kappx[0] and kappx[1] the non-logarithmic values of the approximated first and last nearest neighbor distances

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

Approximates the lower hull.

approximatelyLinearDependent(PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction

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

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

Returns the progressive approximated knn distance of the entry.

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

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

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

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

The polynomial approximation.

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

The polynomial approximation.

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

Provides an approximation for knn-distances line consisting of incline m, axes intercept t and a start value for k.

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

Empty constructor for serialization purposes.

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

Provides an approximation for knn-distances line consisting of incline m, axes intercept t and a start value for k.

APRIORI - Class in de.lmu.ifi.dbs.elki.algorithm

Provides the APRIORI algorithm for Mining Association Rules.

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

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

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

Result class for Apriori Algorithm.

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

Constructor.

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

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

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

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

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

Cosine distance function for feature vectors.

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

Provides a CosineDistanceFunction.

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

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

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

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

array - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix

Data storage

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

Search an (unsorted) array linearly for an object.

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

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

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

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

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

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

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

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

arraysize(int) - Static method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix

Compute the size of the needed backing array from the matrix dimensions.

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

Element-by-element multiplication, C = A.

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

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

asArray() - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Return minimum and maximum as array.

asArray() - Method in class de.lmu.ifi.dbs.elki.math.MinMax

Return minimum and maximum as array.

asByteArray() - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader

asByteArray() - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader

Return the header as byte array

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

Factor to signal ascending (+1) / descending (-1) order

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

Factor for ascending (+1) and descending (-1) ordering.

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

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

aspectRatioLock - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

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

Assert that logging was configured.

assign(Database<V>, List<ORCLUS<V>.ORCLUSCluster>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Creates a partitioning of the database by assigning each object to its closest seed.

assigned - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Flag that indicates if this unit is already assigned to a cluster.

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

Encapsulates the attributes of an assignment during a split.

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

Provides an assignment during a split of an MTree node.

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

Encapsulates the two promotion objects and their assignments.

assignNN(Set<E>, Set<E>, List<DistanceEntry<D, E>>, D, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MTreeSplit

Assigns the first object of the specified list to the first assignment that it is not yet assigned to the second assignment.

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

Assigns the objects to the clusters.

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

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

assoc - Variable in class de.lmu.ifi.dbs.elki.result.AnnotationFromDatabase

Storage of included associations.

assoc - Variable in class de.lmu.ifi.dbs.elki.result.AnnotationFromHashMap

Store Association ID

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

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

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

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

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

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

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

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

AssocationID to use

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

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

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

Provides a new AssociationID of the given name and type.

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

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

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

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

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

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

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

Map to hold association maps.

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

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

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

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

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

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

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

Map to store the actual data.

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

A sign to separate attributes.

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

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

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

Encapsulates a setting of one attribute.

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

Creates a new setting object.

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

Encapsulates the current settings of the attributes of an object.

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

Creates a new parameter setting object.

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

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

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

Sets minima and maxima parameter to the optionhandler.

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

Class to perform and undo a normalization on real vectors with respect to given mean and standard deviation in each dimension.

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

Sets mean and stddev parameter to the optionhandler.

automagic_format - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog

Automagic file format

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

Computes the average distance of the objects to the centroid along the specified dimension.

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

The distribution generators for each axis

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

Simple model for Axis-Parallel Subspace Clusters.

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

Constructor