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

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

Release 0.2.1 (2009-07-13_1605)
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