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A

a - Variable in class elki.math.geodesy.AbstractEarthModel
Model parameters: major and minor radius.
a - Variable in class elki.math.geometry.SweepHullDelaunay2D.Triangle
References to points in Delaunay2D.points
a - Variable in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.ProblemData
 
A0 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Constants for fast rational approximations.
A0 - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
A0 - Static variable in class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
A0 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator
Estimation constants
A1 - Static variable in class elki.math.statistics.distribution.estimator.GammaLMMEstimator
Coefficients for polynomial approximation
A1 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Constants for fast rational approximations.
A1 - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
A1 - Static variable in class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
A1 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator
Estimation constants
A2 - Static variable in class elki.math.statistics.distribution.estimator.GammaLMMEstimator
Coefficients for polynomial approximation
A2 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Constants for fast rational approximations.
A2 - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
A2 - Static variable in class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
A2 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator
Estimation constants
A2Noncentral(double[]) - Static method in class elki.math.statistics.tests.AndersonDarlingTest
Test a sorted but not standardized data set.
A2StandardNormal(double[]) - Static method in class elki.math.statistics.tests.AndersonDarlingTest
Test a sorted data set against the standard normal distribution.
A3 - Static variable in class elki.math.statistics.distribution.estimator.GammaLMMEstimator
Coefficients for polynomial approximation
A3 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Constants for fast rational approximations.
A3 - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
A3 - Static variable in class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
A3 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator
Estimation constants
A4 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Constants for fast rational approximations.
A4 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator
Estimation constants
ab - Variable in class elki.math.geometry.SweepHullDelaunay2D.Triangle
References to neighbor triangles
ABIDEstimator - Class in elki.math.statistics.intrinsicdimensionality
Angle based intrinsic dimensionality (ABID) estimator.
ABIDEstimator() - Constructor for class elki.math.statistics.intrinsicdimensionality.ABIDEstimator
 
ABIDEstimator.Par - Class in elki.math.statistics.intrinsicdimensionality
Parameterization class.
ABOD<V extends NumberVector> - Class in elki.outlier.anglebased
Angle-Based Outlier Detection / Angle-Based Outlier Factor.
ABOD(Similarity<? super V>) - Constructor for class elki.outlier.anglebased.ABOD
Constructor for Angle-Based Outlier Detection (ABOD).
ABOD.Par<V extends NumberVector> - Class in elki.outlier.anglebased
Parameterization class.
AbortException - Exception in elki.utilities.exceptions
Exception for aborting some process and transporting a message.
AbortException(String) - Constructor for exception elki.utilities.exceptions.AbortException
Exception for aborting some process and transporting a message.
AbortException(String, Throwable) - Constructor for exception elki.utilities.exceptions.AbortException
Exception for aborting some process and transporting a message.
abs - Variable in class elki.index.tree.betula.CFTree
Absorption criterion
abs - Variable in class elki.index.tree.betula.CFTree.Factory
BIRCH distance function to use for point absorption
abs - Variable in class elki.index.tree.betula.CFTree.Factory.Par
BIRCH distance function to use for point absorption
absolute - Variable in class elki.clustering.correlation.FourC.Settings
Use absolute variance, not relative variance.
absolute - Variable in class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter
Indicates whether delta is an absolute or a relative value.
absolute - Variable in class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter.Par
Indicates whether delta is an absolute or a relative value.
AbsolutePearsonCorrelationDistance - Class in elki.distance.correlation
Absolute Pearson correlation distance function for feature vectors.
AbsolutePearsonCorrelationDistance() - Constructor for class elki.distance.correlation.AbsolutePearsonCorrelationDistance
Deprecated.
Use static instance!
AbsolutePearsonCorrelationDistance.Par - Class in elki.distance.correlation
Parameterization class.
AbsoluteUncenteredCorrelationDistance - Class in elki.distance.correlation
Absolute uncentered correlation distance function for feature vectors.
AbsoluteUncenteredCorrelationDistance() - Constructor for class elki.distance.correlation.AbsoluteUncenteredCorrelationDistance
Deprecated.
Use static instance!
AbsoluteUncenteredCorrelationDistance.Par - Class in elki.distance.correlation
Parameterization class.
absorption - Variable in class elki.clustering.hierarchical.birch.CFTree
Criterion for absorbing points.
absorption - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory
Criterion for absorbing points.
absorption - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par
Criterion for absorbing points.
ABSORPTION_ID - Static variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par
Absorption parameter.
ABSORPTION_ID - Static variable in class elki.index.tree.betula.CFTree.Factory.Par
Absorption parameter.
absstat - Variable in class elki.index.tree.betula.CFTree
Number ob absorption calculations
AbstractAggarwalYuOutlier - Class in elki.outlier.subspace
Abstract base class for the sparse-grid-cell based outlier detection of Aggarwal and Yu.
AbstractAggarwalYuOutlier(int, int) - Constructor for class elki.outlier.subspace.AbstractAggarwalYuOutlier
Constructor.
AbstractAggarwalYuOutlier.Par - Class in elki.outlier.subspace
Parameterization class.
AbstractApplication - Class in elki.application
AbstractApplication sets the values for flags verbose and help.
AbstractApplication() - Constructor for class elki.application.AbstractApplication
Constructor.
AbstractApplication.Par - Class in elki.application
Parameterization class.
AbstractBiclustering<M extends BiclusterModel> - Class in elki.clustering.biclustering
Abstract class as a convenience for different biclustering approaches.
AbstractBiclustering() - Constructor for class elki.clustering.biclustering.AbstractBiclustering
Constructor.
AbstractBulkSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk
Encapsulates the required parameters for a bulk split of a spatial index.
AbstractBulkSplit() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.AbstractBulkSplit
Constructor
AbstractCFKMeansInitialization - Class in elki.clustering.kmeans.initialization.betula
Abstract base class for CF k-means initializations.
AbstractCFKMeansInitialization(RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization
Constructor.
AbstractCFKMeansInitialization.Par - Class in elki.clustering.kmeans.initialization.betula
Parameterization class.
AbstractClassifier<O,​R> - Class in elki.classification
Abstract base class for algorithms.
AbstractClassifier() - Constructor for class elki.classification.AbstractClassifier
 
AbstractConversionFilter<I,​O> - Class in elki.datasource.filter
Abstract base class for simple conversion filters such as normalizations and projections.
AbstractConversionFilter() - Constructor for class elki.datasource.filter.AbstractConversionFilter
 
AbstractCoverTree<O> - Class in elki.index.tree.metrical.covertree
Abstract base class for cover tree variants.
AbstractCoverTree(Relation<O>, Distance<? super O>, double, int) - Constructor for class elki.index.tree.metrical.covertree.AbstractCoverTree
Constructor.
AbstractCoverTree.Factory<O> - Class in elki.index.tree.metrical.covertree
Index factory.
AbstractCoverTree.Factory.Par<O> - Class in elki.index.tree.metrical.covertree
Parameterization class.
AbstractCutDendrogram - Class in elki.clustering.hierarchical.extraction
Abstract base class for extracting clusters from dendrograms.
AbstractCutDendrogram(HierarchicalClusteringAlgorithm, boolean, boolean) - Constructor for class elki.clustering.hierarchical.extraction.AbstractCutDendrogram
Constructor.
AbstractCutDendrogram.Instance - Class in elki.clustering.hierarchical.extraction
Instance for a single data set.
AbstractCutDendrogram.Par - Class in elki.clustering.hierarchical.extraction
Parameterization class.
AbstractDatabase - Class in elki.database
Abstract base class for database API implementations.
AbstractDatabase() - Constructor for class elki.database.AbstractDatabase
Constructor.
AbstractDatabase.Par - Class in elki.database
Parameterization class.
AbstractDatabaseConnection - Class in elki.datasource
Abstract super class for all database connections.
AbstractDatabaseConnection(List<? extends ObjectFilter>) - Constructor for class elki.datasource.AbstractDatabaseConnection
Constructor.
AbstractDatabaseConnection.Par - Class in elki.datasource
Parameterization class.
AbstractDatabaseDistance<O> - Class in elki.distance
Abstract super class for distance functions needing a database context.
AbstractDatabaseDistance() - Constructor for class elki.distance.AbstractDatabaseDistance
Constructor.
AbstractDatabaseDistance.Instance<O> - Class in elki.distance
The actual instance bound to a particular database.
AbstractDBIDRangeDistance - Class in elki.distance
Abstract base class for distance functions that rely on integer offsets within a consecutive range.
AbstractDBIDRangeDistance() - Constructor for class elki.distance.AbstractDBIDRangeDistance
 
AbstractDBIDSimilarity - Class in elki.similarity
Abstract super class for distance functions needing a preprocessor.
AbstractDBIDSimilarity(Relation<? extends DBID>) - Constructor for class elki.similarity.AbstractDBIDSimilarity
Constructor.
AbstractDBOutlier<O> - Class in elki.outlier.distance
Simple distance based outlier detection algorithms.
AbstractDBOutlier(Distance<? super O>, double) - Constructor for class elki.outlier.distance.AbstractDBOutlier
Constructor with actual parameters.
AbstractDBOutlier.Par<O> - Class in elki.outlier.distance
Parameterization class.
AbstractDimensionsSelectingDistance<V extends FeatureVector<?>> - Class in elki.distance.subspace
Abstract base class for distances computed only in subspaces.
AbstractDimensionsSelectingDistance(long[]) - Constructor for class elki.distance.subspace.AbstractDimensionsSelectingDistance
Constructor.
AbstractDimensionsSelectingDistance.Par - Class in elki.distance.subspace
Parameterization class.
AbstractDiscreteUncertainifier<UO extends UncertainObject> - Class in elki.data.uncertain.uncertainifier
Factory class for discrete uncertain objects.
AbstractDiscreteUncertainifier(Uncertainifier<?>, int, int) - Constructor for class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier
Constructor.
AbstractDiscreteUncertainifier.Par - Class in elki.data.uncertain.uncertainifier
Parameterizer.
AbstractDistanceBasedApplication<O> - Class in elki.application
Abstract base class for distance-based tasks and experiments.
AbstractDistanceBasedApplication(InputStep, Distance<? super O>) - Constructor for class elki.application.AbstractDistanceBasedApplication
Constructor.
AbstractDistanceBasedSpatialOutlier<N,​O> - Class in elki.outlier.spatial
Abstract base class for distance-based spatial outlier detection methods.
AbstractDistanceBasedSpatialOutlier(NeighborSetPredicate.Factory<N>, Distance<O>) - Constructor for class elki.outlier.spatial.AbstractDistanceBasedSpatialOutlier
Constructor.
AbstractDoubleProcessor - Class in elki.parallel.processor
Abstract base class for processors that output double values.
AbstractDoubleProcessor() - Constructor for class elki.parallel.processor.AbstractDoubleProcessor
 
AbstractDoubleProcessor.Instance - Class in elki.parallel.processor
Instance.
AbstractEarthModel - Class in elki.math.geodesy
Abstract base class for earth models with shared glue code.
AbstractEarthModel(double, double, double, double) - Constructor for class elki.math.geodesy.AbstractEarthModel
Constructor.
AbstractEditDistance - Class in elki.distance.timeseries
Edit Distance for FeatureVectors.
AbstractEditDistance(double) - Constructor for class elki.distance.timeseries.AbstractEditDistance
Constructor.
AbstractEditDistance.Par - Class in elki.distance.timeseries
Parameterization class.
AbstractExternalizablePage - Class in elki.persistent
Abstract superclass for pages.
AbstractExternalizablePage() - Constructor for class elki.persistent.AbstractExternalizablePage
Empty constructor for Externalizable interface.
AbstractFrequentItemsetAlgorithm - Class in elki.itemsetmining
Abstract base class for frequent itemset mining.
AbstractFrequentItemsetAlgorithm(double) - Constructor for class elki.itemsetmining.AbstractFrequentItemsetAlgorithm
Constructor.
AbstractFrequentItemsetAlgorithm(double, int, int) - Constructor for class elki.itemsetmining.AbstractFrequentItemsetAlgorithm
Constructor.
AbstractFrequentItemsetAlgorithm.Par - Class in elki.itemsetmining
Parameterization class.
AbstractFullProjection - Class in elki.visualization.projections
Abstract base class for full projections.
AbstractFullProjection(Projector, LinearScale[]) - Constructor for class elki.visualization.projections.AbstractFullProjection
Constructor.
AbstractHDBSCAN<O> - Class in elki.clustering.hierarchical
Abstract base class for HDBSCAN variations.
AbstractHDBSCAN(Distance<? super O>, int) - Constructor for class elki.clustering.hierarchical.AbstractHDBSCAN
Constructor.
AbstractHDBSCAN.HDBSCANAdapter - Class in elki.clustering.hierarchical
Class for processing the HDBSCAN G_mpts graph.
AbstractHDBSCAN.HeapMSTCollector - Class in elki.clustering.hierarchical
Class for collecting the minimum spanning tree edges into a heap.
AbstractHistogramVisualization - Class in elki.visualization.visualizers.histogram
One-dimensional projected visualization.
AbstractHistogramVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.histogram.AbstractHistogramVisualization
Constructor.
AbstractHoldout - Class in elki.evaluation.classification.holdout
Split a data set for holdout evaluation.
AbstractHoldout() - Constructor for class elki.evaluation.classification.holdout.AbstractHoldout
 
AbstractIndexBasedDistance<O,​F extends IndexFactory<O>> - Class in elki.distance
Abstract super class for distance functions needing a database index.
AbstractIndexBasedDistance(F) - Constructor for class elki.distance.AbstractIndexBasedDistance
Constructor.
AbstractIndexBasedDistance.Instance<O,​I extends Index,​F extends Distance<? super O>> - Class in elki.distance
The actual instance bound to a particular database.
AbstractIndexBasedSimilarity<O,​F extends IndexFactory<O>> - Class in elki.similarity
Abstract super class for distance functions needing a preprocessor.
AbstractIndexBasedSimilarity(F) - Constructor for class elki.similarity.AbstractIndexBasedSimilarity
Constructor.
AbstractIndexBasedSimilarity.Instance<O,​I extends Index> - Class in elki.similarity
The actual instance bound to a particular database.
AbstractIndexBasedSimilarity.Par<F extends IndexFactory<?>> - Class in elki.similarity
Parameterization class.
AbstractIntegerDBIDFactory - Class in elki.database.ids.integer
Abstract base class for DBID factories.
AbstractIntegerDBIDFactory() - Constructor for class elki.database.ids.integer.AbstractIntegerDBIDFactory
 
AbstractKMeans<V extends NumberVector,​M extends Model> - Class in elki.clustering.kmeans
Abstract base class for k-means implementations.
AbstractKMeans(int, int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.AbstractKMeans
Constructor.
AbstractKMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.AbstractKMeans
Constructor.
AbstractKMeans.Instance - Class in elki.clustering.kmeans
Inner instance for a run, for better encapsulation, that encapsulates the standard flow of most (but not all) k-means variations.
AbstractKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans
Parameterization class.
AbstractKMeansInitialization - Class in elki.clustering.kmeans.initialization
Abstract base class for common k-means initializations.
AbstractKMeansInitialization(RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.AbstractKMeansInitialization
Constructor.
AbstractKMeansInitialization.Par - Class in elki.clustering.kmeans.initialization
Parameterization class.
AbstractKMeansQualityMeasure<O extends NumberVector> - Class in elki.clustering.kmeans.quality
Base class for evaluating clusterings by information criteria (such as AIC or BIC).
AbstractKMeansQualityMeasure() - Constructor for class elki.clustering.kmeans.quality.AbstractKMeansQualityMeasure
 
AbstractLayout3DPC<N extends Layout.Node> - Class in elki.visualization.parallel3d.layout
Abstract class for dimension similarity based layouters.
AbstractLayout3DPC(Dependence) - Constructor for class elki.visualization.parallel3d.layout.AbstractLayout3DPC
Constructor.
AbstractLayout3DPC.AbstractNode<N extends AbstractLayout3DPC.AbstractNode<N>> - Class in elki.visualization.parallel3d.layout
Abstract node implementation.
AbstractLayout3DPC.LowerTriangularAdapter - Class in elki.visualization.parallel3d.layout
Class to use a lower-triangular similarity matrix for distance-based Prim's spanning tree.
AbstractLayout3DPC.Par - Class in elki.visualization.parallel3d.layout
Parameterization class.
AbstractMaterializeKNNPreprocessor<O> - Class in elki.index.preprocessed.knn
Abstract base class for KNN Preprocessors.
AbstractMaterializeKNNPreprocessor(Relation<O>, DistanceQuery<O>, int) - Constructor for class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
Constructor.
AbstractMaterializeKNNPreprocessor(Relation<O>, Distance<? super O>, int) - Constructor for class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
Constructor.
AbstractMaterializeKNNPreprocessor.Factory<O> - Class in elki.index.preprocessed.knn
The parameterizable factory.
AbstractMkTree<O,​N extends AbstractMTreeNode<O,​N,​E>,​E extends MTreeEntry,​S extends MTreeSettings<O,​N,​E>> - Class in 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 given parameter.
AbstractMkTree(Relation<O>, PageFile<N>, S) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree
Constructor.
AbstractMkTreeUnified<O,​N extends AbstractMTreeNode<O,​N,​E>,​E extends MTreeEntry,​S extends MkTreeSettings<O,​N,​E>> - Class in 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 given parameter.
AbstractMkTreeUnified(Relation<O>, PageFile<N>, S) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnified
Constructor.
AbstractMkTreeUnifiedFactory<O,​N extends AbstractMTreeNode<O,​N,​E>,​E extends MTreeEntry,​S extends MkTreeSettings<O,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants.mktrees
Abstract factory for various Mk-Trees
AbstractMkTreeUnifiedFactory(PageFileFactory<?>, S) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory
Constructor.
AbstractMkTreeUnifiedFactory.Par<O,​N extends AbstractMTreeNode<O,​N,​E>,​E extends MTreeEntry,​S extends MkTreeSettings<O,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants.mktrees
Parameterization class.
AbstractMTree<O,​N extends AbstractMTreeNode<O,​N,​E>,​E extends MTreeEntry,​S extends MTreeSettings<O,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants
Abstract super class for all M-Tree variants.
AbstractMTree(PageFile<N>, S) - Constructor for class elki.index.tree.metrical.mtreevariants.AbstractMTree
Constructor.
AbstractMTree.Statistics - Class in elki.index.tree.metrical.mtreevariants
Class for tracking some statistics.
AbstractMTreeFactory<O,​N extends AbstractMTreeNode<O,​N,​E>,​E extends MTreeEntry,​S extends MTreeSettings<O,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants
Abstract factory for various MTrees
AbstractMTreeFactory(PageFileFactory<?>, S) - Constructor for class elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory
Constructor.
AbstractMTreeFactory.Par<O,​N extends AbstractMTreeNode<O,​N,​E>,​E extends MTreeEntry,​S extends MTreeSettings<O,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants
Parameterization class.
AbstractMTreeNode<O,​N extends AbstractMTreeNode<O,​N,​E>,​E extends MTreeEntry> - Class in elki.index.tree.metrical.mtreevariants
Abstract super class for nodes in M-Tree variants.
AbstractMTreeNode() - Constructor for class elki.index.tree.metrical.mtreevariants.AbstractMTreeNode
Empty constructor for Externalizable interface.
AbstractMTreeNode(int, boolean) - Constructor for class elki.index.tree.metrical.mtreevariants.AbstractMTreeNode
Creates a new MTreeNode with the specified parameters.
AbstractMTreeSplit<E extends MTreeEntry,​N extends AbstractMTreeNode<?,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants.strategies.split
Abstract super class for splitting a node in an M-Tree.
AbstractMTreeSplit(DistributionStrategy) - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.AbstractMTreeSplit
Constructor.
AbstractNeighborhoodOutlier<O> - Class in elki.outlier.spatial
Abstract base class for spatial outlier detection methods using a spatial neighborhood.
AbstractNeighborhoodOutlier(NeighborSetPredicate.Factory<O>) - Constructor for class elki.outlier.spatial.AbstractNeighborhoodOutlier
Constructor
AbstractNode<E> - Class in elki.index.tree
Abstract superclass for nodes in an tree based index structure.
AbstractNode() - Constructor for class elki.index.tree.AbstractNode
Empty constructor for Externalizable interface.
AbstractNode(int, boolean) - Constructor for class elki.index.tree.AbstractNode
Creates a new Node with the specified parameters.
AbstractNode(int, List<N>) - Constructor for class elki.visualization.parallel3d.layout.AbstractLayout3DPC.AbstractNode
Constructor.
AbstractNumberConstraint - Class in elki.utilities.optionhandling.constraints
Abstract super class for constraints dealing with a certain number value.
AbstractNumberConstraint(Number) - Constructor for class elki.utilities.optionhandling.constraints.AbstractNumberConstraint
Creates an abstract number constraint.
AbstractNumberVectorDistance - Class in elki.distance
Abstract base class for the most common family of distance functions: defined on number vectors and returning double values.
AbstractNumberVectorDistance() - Constructor for class elki.distance.AbstractNumberVectorDistance
Constructor.
AbstractObjDynamicHistogram<T> - Class in elki.utilities.datastructures.histogram
A dynamic histogram can dynamically adapt the number of bins to the data fed into the histogram.
AbstractObjDynamicHistogram(int) - Constructor for class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Constructor.
AbstractOPTICS<O> - Class in elki.clustering.optics
The OPTICS algorithm for density-based hierarchical clustering.
AbstractOPTICS(Distance<? super O>, double, int) - Constructor for class elki.clustering.optics.AbstractOPTICS
Constructor.
AbstractOPTICSVisualization - Class in elki.visualization.visualizers.optics
Abstract base class for OPTICS visualizer
AbstractOPTICSVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.optics.AbstractOPTICSVisualization
Constructor.
AbstractPageFile<P extends Page> - Class in elki.persistent
Abstract base class for the page file API for both caches and true page files (in-memory and on-disk).
AbstractPageFile() - Constructor for class elki.persistent.AbstractPageFile
Constructor.
AbstractPageFileFactory<P extends Page> - Class in elki.persistent
Abstract page file factory.
AbstractPageFileFactory(int) - Constructor for class elki.persistent.AbstractPageFileFactory
Constructor.
AbstractParallelVisualization<NV> - Class in elki.visualization.visualizers.parallel
Abstract base class for parallel visualizations.
AbstractParallelVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.AbstractParallelVisualization
Constructor.
AbstractParameter<P extends AbstractParameter<P,​T>,​T> - Class in elki.utilities.optionhandling.parameters
Abstract class for specifying a parameter.
AbstractParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.AbstractParameter
Constructs a parameter with the given optionID, and constraints.
AbstractParameter(OptionID, T) - Constructor for class elki.utilities.optionhandling.parameters.AbstractParameter
Constructs a parameter with the given optionID, constraints, and default value.
AbstractParameterConfigurator<T extends Parameter<?>> - Class in elki.gui.configurator
Abstract class to produce a configurator for a particular parameter.
AbstractParameterConfigurator(T, JComponent) - Constructor for class elki.gui.configurator.AbstractParameterConfigurator
Constructor.
AbstractParameterization - Class in elki.utilities.optionhandling.parameterization
Abstract class with shared code for parameterization handling.
AbstractParameterization() - Constructor for class elki.utilities.optionhandling.parameterization.AbstractParameterization
 
AbstractPartialReinsert - Class in elki.index.tree.spatial.rstarvariants.strategies.reinsert
Abstract base class for reinsertion strategies that have a "relative amount" parameter to partially reinsert entries.
AbstractPartialReinsert(double, SpatialPrimitiveDistance<?>) - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert
Constructor.
AbstractPartialReinsert.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.reinsert
Parameterization class.
AbstractPrecomputedNeighborhood - Class in elki.outlier.spatial.neighborhood
Abstract base class for precomputed neighborhoods.
AbstractPrecomputedNeighborhood(DataStore<DBIDs>) - Constructor for class elki.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood
Constructor.
AbstractPrecomputedNeighborhood.Factory<O> - Class in elki.outlier.spatial.neighborhood
Factory class.
AbstractProgress - Class in elki.logging.progress
Abstract base class for FiniteProgress objects.
AbstractProgress(String) - Constructor for class elki.logging.progress.AbstractProgress
Default constructor.
AbstractProjectedClustering<R extends Clustering<?>> - Class in elki.clustering
Abstract superclass for projected clustering algorithms, like PROCLUS and ORCLUS.
AbstractProjectedClustering(int, int, int) - Constructor for class elki.clustering.AbstractProjectedClustering
Internal constructor.
AbstractProjectedClustering.Par - Class in elki.clustering
Parameterization class.
AbstractProjectedHashFunctionFamily - Class in elki.index.lsh.hashfamilies
Abstract base class for projection based hash functions.
AbstractProjectedHashFunctionFamily(RandomFactory, RandomProjectionFamily, double, int) - Constructor for class elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily
Constructor.
AbstractProjectedHashFunctionFamily.Par - Class in elki.index.lsh.hashfamilies
Parameterization class.
AbstractProjection - Class in elki.visualization.projections
Abstract base projection class.
AbstractProjection(Projector, LinearScale[]) - Constructor for class elki.visualization.projections.AbstractProjection
Constructor.
AbstractProjectionAlgorithm<R> - Class in elki.projection
Abstract base class for projection algorithms.
AbstractProjectionAlgorithm(boolean) - Constructor for class elki.projection.AbstractProjectionAlgorithm
Constructor.
AbstractRandomProjectionFamily - Class in elki.data.projection.random
Abstract base class for random projection families.
AbstractRandomProjectionFamily(RandomFactory) - Constructor for class elki.data.projection.random.AbstractRandomProjectionFamily
Constructor.
AbstractRandomProjectionFamily.MatrixProjection - Class in elki.data.projection.random
Class to project using a matrix multiplication.
AbstractRandomProjectionFamily.Par - Class in elki.data.projection.random
Parameterization interface (with the shared parameters)
AbstractRangeQueryNeighborPredicate<O,​M,​N> - Class in elki.clustering.dbscan.predicates
Abstract local model neighborhood predicate.
AbstractRangeQueryNeighborPredicate(double, Distance<? super O>) - Constructor for class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate
Full constructor.
AbstractRangeQueryNeighborPredicate.Instance<N,​M> - Class in elki.clustering.dbscan.predicates
Instance for a particular data set.
AbstractRefiningIndex<O> - Class in elki.index
Abstract base class for Filter-refinement indexes.
AbstractRefiningIndex(Relation<O>) - Constructor for class elki.index.AbstractRefiningIndex
Constructor.
AbstractRefiningIndex.AbstractRefiningQuery - Class in elki.index
Abstract query for this index.
AbstractRefiningQuery(DistanceQuery<O>) - Constructor for class elki.index.AbstractRefiningIndex.AbstractRefiningQuery
Constructor.
AbstractRStarTree<N extends AbstractRStarTreeNode<N,​E>,​E extends SpatialEntry,​S extends RTreeSettings> - Class in elki.index.tree.spatial.rstarvariants
Abstract superclass for index structures based on a R*-Tree.
AbstractRStarTree(PageFile<N>, S) - Constructor for class elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Constructor.
AbstractRStarTree.Statistics - Class in elki.index.tree.spatial.rstarvariants
Class for tracking some statistics.
AbstractRStarTreeFactory<O extends NumberVector,​N extends AbstractRStarTreeNode<N,​E>,​E extends SpatialEntry,​S extends RTreeSettings> - Class in elki.index.tree.spatial.rstarvariants
Abstract factory for R*-Tree based trees.
AbstractRStarTreeFactory(PageFileFactory<?>, S) - Constructor for class elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory
Constructor.
AbstractRStarTreeNode<N extends AbstractRStarTreeNode<N,​E>,​E extends SpatialEntry> - Class in elki.index.tree.spatial.rstarvariants
Abstract superclass for nodes in a R*-Tree.
AbstractRStarTreeNode() - Constructor for class elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Empty constructor for Externalizable interface.
AbstractRStarTreeNode(int, boolean) - Constructor for class elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Creates a new AbstractRStarTreeNode with the specified parameters.
AbstractScatterplotVisualization - Class in elki.visualization.visualizers.scatterplot
Default class to handle 2D projected visualizations.
AbstractScatterplotVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization
Constructor.
AbstractSetDistance<O> - Class in elki.distance.set
Abstract base class for set distance functions.
AbstractSetDistance() - Constructor for class elki.distance.set.AbstractSetDistance
 
AbstractSilhouetteVisualization - Class in elki.visualization.visualizers.silhouette
Abstract base class for silhouette visualizer
AbstractSilhouetteVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.silhouette.AbstractSilhouetteVisualization
Constructor.
AbstractSimilarityAdapter<O> - Class in elki.distance.adapter
Adapter from a similarity function to a distance function.
AbstractSimilarityAdapter(Similarity<? super O>) - Constructor for class elki.distance.adapter.AbstractSimilarityAdapter
Constructor.
AbstractSimilarityAdapter.Instance<O> - Class in elki.distance.adapter
Inner proxy class for SNN distance function.
AbstractSimilarityAdapter.Par<O,​S extends Similarity<? super O>> - Class in elki.distance.adapter
Parameterization class.
AbstractSimpleOverlay - Class in elki.visualization.parallel3d.util
Renderer for simple overlays.
AbstractSimpleOverlay() - Constructor for class elki.visualization.parallel3d.util.AbstractSimpleOverlay
 
AbstractSimpleProjection - Class in elki.visualization.projections
Abstract base class for "simple" projections.
AbstractSimpleProjection(Projector, LinearScale[]) - Constructor for class elki.visualization.projections.AbstractSimpleProjection
Constructor.
AbstractSingleParameterConfigurator<T extends Parameter<?>> - Class in elki.gui.configurator
Base class for MiniGUI input helpers
AbstractSingleParameterConfigurator(T, JComponent) - Constructor for class elki.gui.configurator.AbstractSingleParameterConfigurator
Constructor.
AbstractSingleSVM - Class in elki.svm
 
AbstractSingleSVM(double, boolean, double) - Constructor for class elki.svm.AbstractSingleSVM
 
AbstractStaticHistogram - Class in elki.utilities.datastructures.histogram
Abstract base class for histograms.
AbstractStaticHistogram(int, double, double) - Constructor for class elki.utilities.datastructures.histogram.AbstractStaticHistogram
Histogram constructor
AbstractStaticHistogram.Iter - Class in elki.utilities.datastructures.histogram
Iterator class to iterate over all bins.
AbstractStatistic - Class in elki.logging.statistics
Abstract base class for statistics tracking.
AbstractStatistic(String) - Constructor for class elki.logging.statistics.AbstractStatistic
Constructor.
AbstractStoringPageFile<P extends Page> - Class in elki.persistent
Abstract class implementing general methods of a PageFile.
AbstractStoringPageFile(int) - Constructor for class elki.persistent.AbstractStoringPageFile
Creates a new PageFile.
AbstractStreamConversionFilter<I,​O> - Class in elki.datasource.filter
Abstract base class for simple conversion filters such as normalizations and projections.
AbstractStreamConversionFilter() - Constructor for class elki.datasource.filter.AbstractStreamConversionFilter
 
AbstractStreamFilter - Class in elki.datasource.filter
Abstract base class for streaming filters.
AbstractStreamFilter() - Constructor for class elki.datasource.filter.AbstractStreamFilter
 
AbstractStreamingParser - Class in elki.datasource.parser
Base class for streaming parsers.
AbstractStreamingParser(CSVReaderFormat) - Constructor for class elki.datasource.parser.AbstractStreamingParser
Constructor.
AbstractStreamingParser.Par - Class in elki.datasource.parser
Parameterization class.
AbstractSupervisedProjectionVectorFilter<V extends NumberVector> - Class in elki.datasource.filter.transform
Base class for supervised projection methods.
AbstractSupervisedProjectionVectorFilter(int) - Constructor for class elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter
Constructor.
AbstractSVC - Class in elki.svm
 
AbstractSVC(double, boolean, double) - Constructor for class elki.svm.AbstractSVC
 
AbstractSVR - Class in elki.svm
 
AbstractSVR(double, boolean, double) - Constructor for class elki.svm.AbstractSVR
 
AbstractTooltipVisualization - Class in elki.visualization.visualizers.scatterplot
General base class for a tooltip visualizer.
AbstractTooltipVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization
Constructor.
AbstractUncertainObject - Class in elki.data.uncertain
Abstract base implementation for UncertainObjects, providing shared functionality such as bounding box access and random generation.
AbstractUncertainObject() - Constructor for class elki.data.uncertain.AbstractUncertainObject
 
AbstractVectorConversionFilter<I,​O extends NumberVector> - Class in elki.datasource.filter
Abstract class for filters that produce number vectors.
AbstractVectorConversionFilter() - Constructor for class elki.datasource.filter.AbstractVectorConversionFilter
 
AbstractVectorIter - Class in elki.evaluation.scores.adapter
Class to iterate over a number vector in decreasing order.
AbstractVectorIter(NumberVector, NumberVector) - Constructor for class elki.evaluation.scores.adapter.AbstractVectorIter
Constructor.
AbstractVectorSimilarity - Class in elki.similarity
Abstract base class for double-valued primitive similarity functions.
AbstractVectorSimilarity() - Constructor for class elki.similarity.AbstractVectorSimilarity
 
AbstractVectorStreamConversionFilter<I,​O extends NumberVector> - Class in elki.datasource.filter
Abstract base class for streaming filters that produce vectors.
AbstractVectorStreamConversionFilter() - Constructor for class elki.datasource.filter.AbstractVectorStreamConversionFilter
 
AbstractVisualization - Class in elki.visualization.visualizers
Abstract base class for visualizations.
AbstractVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class elki.visualization.visualizers.AbstractVisualization
Constructor.
accept(boolean) - Method in interface elki.utilities.optionhandling.parameters.Flag.BooleanConsumer
Performs this operation on the given argument.
accept(NumberVector, RegressionModel, double, ArrayDBIDs, SimilarityQuery<NumberVector>, double) - Method in class elki.clustering.svm.SupportVectorClustering
evaluate if a point cur is inside the sphere in kernel space.
accept(DBIDRef, double) - Method in interface elki.database.ids.DoubleDBIDList.Consumer
Act on each value.
accept(DBIDRef, double) - Method in interface elki.database.relation.DoubleRelation.Consumer
Act on each value.
acceptsType(SimpleTypeInformation<? extends PreDeConNeighborPredicate.PreDeConModel>) - Method in class elki.clustering.dbscan.predicates.FourCCorePredicate
 
acceptsType(SimpleTypeInformation<? extends PreDeConNeighborPredicate.PreDeConModel>) - Method in class elki.clustering.dbscan.predicates.PreDeConCorePredicate
 
acceptsType(SimpleTypeInformation<? extends DBIDs>) - Method in class elki.clustering.dbscan.predicates.MinPtsCorePredicate
 
acceptsType(SimpleTypeInformation<? extends T>) - Method in interface elki.clustering.dbscan.predicates.CorePredicate
Test whether the neighborhood type T is accepted by this predicate.
accumulateDataStoreEvents - Variable in class elki.database.DatabaseEventManager
Indicates whether DataStoreEvents should be accumulated and fired as one event on demand.
accumulateDataStoreEvents() - Method in class elki.database.AbstractDatabase
 
accumulateDataStoreEvents() - Method in interface elki.database.Database
Collects all insertion, deletion and update events until Database.flushDataStoreEvents() is called.
accumulateDataStoreEvents() - Method in class elki.database.DatabaseEventManager
Collects successive insertion, deletion or update events.
accuracy - Variable in class elki.evaluation.clustering.MaximumMatchingAccuracy
Accuracy calculated with maximum matching
AchlioptasRandomProjectionFamily - Class in elki.data.projection.random
Random projections as suggested by Dimitris Achlioptas.
AchlioptasRandomProjectionFamily(double, RandomFactory) - Constructor for class elki.data.projection.random.AchlioptasRandomProjectionFamily
Constructor.
AchlioptasRandomProjectionFamily.Par - Class in elki.data.projection.random
Parameterization class.
ACTION_CANCELED - Static variable in class elki.gui.util.TreePopup
Action string for canceled operations (escape button pressed).
ACTION_QUIT - Static variable in class elki.gui.minigui.MiniGUI
Quit action, for mnemonics.
ACTION_QUIT - Static variable in class elki.gui.multistep.MultiStepGUI
Quit action, for mnemonics.
ACTION_SELECTED - Static variable in class elki.gui.util.TreePopup
Action string for confirmed operations (enter or click).
actionListeners - Variable in class elki.visualization.gui.overview.OverviewPlot
Action listeners for this plot.
actionPerformed(ActionEvent) - Method in class elki.gui.configurator.ClassListParameterConfigurator
Callback to show the popup menu
actionPerformed(ActionEvent) - Method in class elki.gui.configurator.ClassParameterConfigurator
 
actionPerformed(ActionEvent) - Method in class elki.gui.configurator.EnumParameterConfigurator
 
actionPerformed(ActionEvent) - Method in class elki.gui.configurator.FileParameterConfigurator
Button callback to show the file selector
actionPerformed(ActionEvent) - Method in class elki.gui.configurator.FlagParameterConfigurator
 
actionPerformed(ActionEvent) - Method in class elki.gui.configurator.TextParameterConfigurator
 
actionPerformed(ActionEvent) - Method in class elki.gui.util.ParameterTable.ClassListEditor
Callback to show the popup menu
actionPerformed(ActionEvent) - Method in class elki.gui.util.ParameterTable.FileNameEditor
Button callback to show the file selector
activate() - Method in class elki.visualization.batikutil.JSVGUpdateSynchronizer
 
activate() - Method in interface elki.visualization.svg.UpdateSynchronizer
This method is called whenever a new pending event was added.
activate() - Method in interface elki.visualization.VisualizationMenuAction
Menu item was activated.
activate() - Method in class elki.visualization.visualizers.actions.ClusterStyleAction.SetStyleAction
 
activate() - Method in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.SwitchModeAction
 
activate() - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.SwitchStyleAction
 
active - Variable in class elki.outlier.density.IsolationForest.ForestBuilder
Active dimensions (not constant)
active() - Method in interface elki.visualization.VisualizationMenuToggle
Return the current state.
active_set - Variable in class elki.svm.solver.Solver
 
active_size - Variable in class elki.svm.solver.Solver
 
activeEditor - Variable in class elki.gui.util.ParameterTable.AdjustingEditor
We need to remember which editor we delegated to, so we know whom to ask for the value entered.
activeRatio - Variable in class elki.visualization.batikutil.LazyCanvasResizer
Last ratio of the Canvas applied
actualMaximum - Variable in class elki.result.outlier.BasicOutlierScoreMeta
Store the actual maximum
actualMaximum - Variable in class elki.result.outlier.ProbabilisticOutlierScore
Actual maximum seen, if given by the algorithm.
actualMinimum - Variable in class elki.result.outlier.BasicOutlierScoreMeta
Store the actual minimum
actualMinimum - Variable in class elki.result.outlier.ProbabilisticOutlierScore
Actual minimum seen, if given by the algorithm.
actualPairs - Variable in class elki.evaluation.clustering.pairsegments.Segments
Pairs actually present in the data set
adaptedCoefficientOfDetermination() - Method in class elki.math.statistics.PolynomialRegression
Returns the adapted coefficient of determination
AdaptiveSortTileRecursiveBulkSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk
This is variation of the original STR bulk load for non-rectangular data spaces.
AdaptiveSortTileRecursiveBulkSplit() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit
 
AdaptiveSortTileRecursiveBulkSplit.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk
Parameterization class.
add(double) - Method in class elki.utilities.datastructures.arraylike.DoubleArray
Append a value.
add(double) - Method in interface elki.utilities.datastructures.heap.DoubleHeap
Add a key-value pair to the heap
add(double) - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap
 
add(double) - Method in class elki.utilities.datastructures.heap.DoubleMinHeap
 
add(double...) - Method in class elki.math.geometry.FilteredConvexHull2D
Add a single point to the list (this does not compute the hull!)
add(double...) - Method in class elki.math.geometry.GrahamScanConvexHull2D
Add a single point to the list (this does not compute the hull!)
add(double...) - Method in class elki.math.geometry.SweepHullDelaunay2D
Add a single point to the list (this does not compute or update the triangulation!)
add(double, double) - Method in class elki.math.geometry.XYCurve
Add a coordinate pair, but don't simplify
add(double, double) - Method in class elki.math.geometry.XYPlot.Curve
Add a coordinate pair, but don't simplify
add(double, int) - Method in interface elki.utilities.datastructures.heap.DoubleHeap
Add a key-value pair to the heap, except if the new element is larger than the top, and we are at design size (overflow)
add(double, int) - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap
Add a key-value pair to the heap
add(double, int) - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
 
add(double, int) - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap
 
add(double, int) - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap
 
add(double, int) - Method in class elki.utilities.datastructures.heap.DoubleMinHeap
 
add(double, int, int) - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap
Add a key-value pair to the heap if it improves the top.
add(double, int, int) - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
 
add(double, int, int) - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap
 
add(double, long) - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap
Add a key-value pair to the heap
add(double, long) - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap
 
add(double, long) - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap
 
add(double, long, int) - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap
Add a key-value pair to the heap if it improves the top.
add(double, long, int) - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap
 
add(double, long, int) - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap
 
add(double, DBIDRef) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
 
add(double, DBIDRef) - Method in interface elki.database.ids.ModifiableDoubleDBIDList
Add an object to this result.
add(double, V) - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap
Add a key-value pair to the heap
add(double, V) - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap
 
add(double, V) - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap
 
add(double, V, int) - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap
Add a key-value pair to the heap if it improves the top.
add(double, V, int) - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap
 
add(double, V, int) - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap
 
add(int) - Method in class elki.utilities.datastructures.arraylike.IntegerArray
Append a value.
add(int) - Method in interface elki.utilities.datastructures.heap.IntegerHeap
Add a key-value pair to the heap
add(int) - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap
 
add(int) - Method in class elki.utilities.datastructures.heap.IntegerMinHeap
 
add(int, byte) - Method in class elki.svm.data.ByteWeightedArrayDataSet
 
add(int, double) - Method in class elki.svm.data.DoubleWeightedDataSet
 
add(int, double, int) - Method in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder
A more robust "add" operation (involving a union-find) where we may use arbitrary objects i and j to refer to clusters, not only the largest ID in each cluster.
add(int, int) - Method in interface elki.utilities.datastructures.heap.IntegerHeap
Add a key-value pair to the heap, except if the new element is larger than the top, and we are at design size (overflow)
add(int, int) - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap
 
add(int, int) - Method in class elki.utilities.datastructures.heap.IntegerMinHeap
 
add(int, AsClusterFeature) - Method in class elki.index.tree.betula.CFNode
Add a subtree.
add(int, V) - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap
Add a key-value pair to the heap
add(int, V) - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap
 
add(int, V) - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap
 
add(int, V, int) - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap
Add a key-value pair to the heap if it improves the top.
add(int, V, int) - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap
 
add(int, V, int) - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap
 
add(E) - Method in class elki.utilities.datastructures.heap.Heap
Add an element to the heap.
add(ClusteringFeature[], ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.CFTree
Add a node to the first unused slot.
add(DBIDRef) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster
Add new objects to the cluster.
add(DBIDRef) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
add(DBIDRef) - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
 
add(DBIDRef) - Method in interface elki.database.ids.ModifiableDBIDs
Add a single DBID to the collection.
add(DBIDRef) - Method in class elki.outlier.density.HySortOD.Hypercube
 
add(DBIDRef, double, DBIDRef) - Method in class elki.clustering.optics.ClusterOrder
Add an object to the cluster order.
add(DBIDRef, int, double) - Method in class elki.timeseries.ChangePoints
Add a change point to the result.
add(DBIDRef, DBIDRef, double) - Method in class elki.index.preprocessed.knn.NNDescent
Add cand to cur's heap neighbors with distance
add(DoubleDBIDPair) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
 
add(DoubleDBIDPair) - Method in interface elki.database.ids.ModifiableDoubleDBIDList
Add an element.
add(AsClusterFeature) - Method in class elki.index.tree.betula.CFNode
Add a subtree
add(HySortOD.TreeStrategy.Node) - Method in class elki.outlier.density.HySortOD.TreeStrategy.Node
Add a child.
add(VisualizationTask) - Method in class elki.visualization.gui.overview.PlotItem
Add a task to the item.
add(E, int) - Method in class elki.utilities.datastructures.heap.Heap
Add an element to the heap.
add(K) - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap
 
add(K) - Method in class elki.utilities.datastructures.heap.ComparableMinHeap
 
add(K) - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap
 
add(K) - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap
 
add(K) - Method in interface elki.utilities.datastructures.heap.ObjectHeap
Add a key-value pair to the heap
add(K, int) - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap
 
add(K, int) - Method in class elki.utilities.datastructures.heap.ComparableMinHeap
 
add(K, int) - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap
 
add(K, int) - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap
 
add(K, int) - Method in interface elki.utilities.datastructures.heap.ObjectHeap
Add a key-value pair to the heap, except if the new element is larger than the top, and we are at design size (overflow)
add(O) - Method in class elki.utilities.datastructures.heap.UpdatableHeap
 
add(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
add(O) - Method in interface elki.utilities.datastructures.hierarchy.ModifiableHierarchy
Add an entry (initializes data structures).
add(O, O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
add(O, O) - Method in interface elki.utilities.datastructures.hierarchy.ModifiableHierarchy
Add a parent-child relationship.
ADD - elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Mode
 
ADD - elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Mode
 
ADD - elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Mode
 
ADD - elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Mode
 
addActionListener(ActionListener) - Method in class elki.gui.util.TreePopup
Register an action listener.
addActionListener(ActionListener) - Method in class elki.visualization.gui.overview.OverviewPlot
Adds an ActionListener to the plot.
addAlias(String, String) - Method in class elki.utilities.ELKIServiceRegistry.Entry
Register a class alias.
addAndSimplify(double, double) - Method in class elki.math.geometry.XYCurve
Add a coordinate pair, performing curve simplification if possible.
addAxisReflection(int) - Method in class elki.math.linearalgebra.AffineTransformation
Add a reflection along the given axis.
addBackground(VisualizerContext) - Method in class elki.visualization.gui.detail.DetailView
Create a background node.
addBarChart(SVGPlot, Element, double, String, double, double, double, double, boolean) - Method in class elki.visualization.visualizers.visunproj.EvaluationVisualization
 
addCameraListener(Simple1DOFCamera.CameraListener) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera
Add a camera listener.
addChangeListener(ChangeListener) - Method in class elki.gui.configurator.AbstractParameterConfigurator
 
addChangeListener(ChangeListener) - Method in class elki.gui.configurator.ConfiguratorPanel
 
addChangeListener(ChangeListener) - Method in interface elki.gui.configurator.ParameterConfigurator
Add a change listener
addCheckBoxListener(ChangeListener) - Method in class elki.visualization.svg.SVGCheckbox
Register a listener for this checkbox.
addChild(Cluster<DendrogramModel>) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster
Add a child cluster.
addChild(Object) - Method in class elki.result.Metadata.Hierarchy
Add a child to this node.
addChildCluster(Cluster<M>, Cluster<M>) - Method in class elki.data.Clustering
Add a cluster to the clustering.
addChildInt(Object) - Method in class elki.result.Metadata.Hierarchy
Add a child.
addChildResult(Object, Object) - Static method in class elki.result.ResultUtil
Add a child result.
addClass(CSSClass) - Method in class elki.visualization.css.CSSClassManager
Add a single class to the map.
addCluster(GeneratorInterface) - Method in class elki.data.synthetic.bymodel.GeneratorMain
Add a cluster to the cluster list.
addCluster(DBIDArrayIter, int, int) - Method in class elki.clustering.optics.OPTICSXi.ClusterHierarchyBuilder
Build a cluster object.
addConstraint(AbstractNumberConstraint) - Method in class elki.utilities.optionhandling.constraints.ListEachNumberConstraint
Add a constraint to this operator.
addConstraint(ParameterConstraint<? super T>) - Method in class elki.utilities.optionhandling.parameters.AbstractParameter
 
addConstraint(ParameterConstraint<? super T>) - Method in interface elki.utilities.optionhandling.parameters.Parameter
Add an additional constraint.
addCSSClass(Element, String) - Static method in class elki.visualization.svg.SVGUtil
Add a CSS class to an Element.
AddCSSClass - Class in elki.visualization.batikutil
Add a CSS class to the event target.
AddCSSClass(String) - Constructor for class elki.visualization.batikutil.AddCSSClass
Constructor
addCSSClasses() - Method in class elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance
Adds the required CSS-Classes
addCSSClasses() - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
Adds the required CSS-Classes
addCSSClasses() - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
Adds the required CSS-Classes
addCSSClasses() - Method in class elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
Adds the required CSS-Classes
addCSSClasses() - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance
Adds the required CSS-Classes
addCSSClasses() - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(int) - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
Define and add required CSS classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
Add the main CSS classes.
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Instance
Adds the required CSS-Classes.
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
Adds the required CSS-Classes.
addCSSClasses(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot, int, double) - Method in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot, int, double) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot, int, double) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization.Instance
Adds the required CSS-Classes
addCSSClassOrLogError(CSSClass) - Method in class elki.visualization.svg.SVGPlot
Convenience method to add a CSS class or log an error.
addDataStoreListener(DataStoreListener) - Method in class elki.database.AbstractDatabase
 
addDataStoreListener(DataStoreListener) - Method in interface elki.database.Database
Adds a listener for the DataStoreEvent posted after the content of the database changes.
addDataStoreListener(DataStoreListener) - Method in class elki.visualization.VisualizerContext
Adds a listener for the DataStoreEvent posted after the content changes.
addDBIDs(DBIDs) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster
Add new objects to the cluster.
addDBIDs(DBIDs) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
addDBIDs(DBIDs) - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
 
addDBIDs(DBIDs) - Method in interface elki.database.ids.ModifiableDBIDs
Add DBIDs to collection.
addDenseUnit(CLIQUEUnit) - Method in class elki.clustering.subspace.clique.CLIQUESubspace
Adds the specified dense unit to this subspace.
addEdge(double, int, int) - Method in class elki.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector
 
addEdge(double, int, int) - Method in interface elki.math.geometry.PrimsMinimumSpanningTree.Collector
Add a new edge to the output.
addEdge(List<IntegerArray>, int, int) - Method in class elki.math.geometry.AlphaShape
Add an edge to the corresponding polygon.
AddedValue - Class in elki.itemsetmining.associationrules.interest
Added value (AV) interestingness measure: \( \text{confidence}(X \rightarrow Y) - \text{support}(Y) = P(Y|X)-P(Y) \).
AddedValue() - Constructor for class elki.itemsetmining.associationrules.interest.AddedValue
Constructor.
addend - Static variable in class elki.utilities.random.FastNonThreadsafeRandom
 
addEntry(E) - Method in class elki.index.tree.AbstractNode
 
addEntry(E) - Method in interface elki.index.tree.Node
Adds a new entry to this node's children and returns the index of the entry in the children array.
addEventListener(Element, int) - Method in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
Add an event listener to the Element
addEventListener(Element, int) - Method in class elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
Add an event listener to the Element.
addEventListener(Element, int, SVGArrow.Direction) - Method in class elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance
Add an event listener to the Element
addFeatureVector(DBIDRef, NumberVector) - Method in class elki.clustering.subspace.clique.CLIQUEUnit
Adds the id of the specified feature vector to this unit, if this unit contains the feature vector.
addFlag(OptionID) - Method in class elki.utilities.optionhandling.parameterization.ListParameterization
Add a flag to the parameter list
addFlag(String) - Method in class elki.utilities.optionhandling.parameterization.ListParameterization
Add a flag to the parameter list
addGenerator(Distribution, Random) - Method in class elki.data.synthetic.bymodel.GeneratorSingleCluster
Add a new generator to the cluster.
addHandler(Handler) - Static method in class elki.logging.LoggingConfiguration
Add a handler to the root logger.
addHeader(SVGPlot, Element, double, String) - Method in class elki.visualization.visualizers.visunproj.EvaluationVisualization
 
addHeader(String) - Method in class elki.result.CollectionResult
Add header information
addHeader(String) - Method in class elki.result.EvaluationResult
Add a header line to this result.
addHit(String, Class<?>) - Method in class elki.utilities.ELKIServiceRegistry.Entry
If a name has been resolved, add it.
addInternal(double, int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
Add an entry, consisting of distance and internal index.
addKNNListener(KNNListener) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
Adds a KNNListener which will be invoked when the kNNs of objects are changing.
addLabel(String) - Method in class elki.visualization.svg.SVGScoreBar
Set label (right of the bar)
addLightGradient(SVGPlot) - Static method in class elki.visualization.svg.SVGEffects
Static method to prepare a SVG document for light gradient effects.
addListener(DataStoreListener) - Method in class elki.database.DatabaseEventManager
Adds a DataStoreListener for a DataStoreEvent posted after the content of the database changes.
addListener(ResultListener) - Method in class elki.database.DatabaseEventManager
Adds a ResultListener to be notified on new results.
addListeners() - Method in class elki.visualization.visualizers.AbstractVisualization
Add the listeners according to the mask.
addMarker() - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
Add marker for the selected IDs to mtag
addMarker() - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization.Instance
Add marker for the selected IDs to mtag
addMarkerRect(double, double) - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
Create a rectangle as marker (Marker higher than plot!)
addMarkerRect(double, double) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance
Create a rectangle as marker (Marker higher than plot!)
addMarkerRect(double, double) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization.Instance
Create a rectangle as marker (Marker higher than plot!)
addMatrix(double[][]) - Method in class elki.math.linearalgebra.AffineTransformation
Add a matrix operation to the matrix.
addMeasure(String, double, double, double, boolean) - Method in class elki.result.EvaluationResult.MeasurementGroup
Add a single measurement.
addMeasure(String, double, double, double, double, boolean) - Method in class elki.result.EvaluationResult.MeasurementGroup
Add a single measurement.
addName(String) - Method in class elki.utilities.ELKIServiceRegistry.Entry
Add a candidate.
addNewRelation(SimpleTypeInformation<?>) - Method in class elki.database.HashmapDatabase
Add a new representation for the given meta.
addNotify() - Method in class elki.gui.util.ParameterTable.DispatchingPanel
 
addpair(WritableDataStore<HashSetModifiableDBIDs>, DBIDRef, DBIDRef) - Method in class elki.index.preprocessed.knn.NNDescent
 
addPanelListener(ParameterTabPanel) - Method in class elki.gui.multistep.panels.ParameterTabPanel
 
addPanels(JTabbedPane) - Method in class elki.gui.multistep.MultiStepGUI
 
addParameter(OptionID, Object) - Method in class elki.utilities.optionhandling.parameterization.ListParameterization
Add a parameter to the parameter list
addParameter(ListParameterization.ParameterPair) - Method in class elki.utilities.optionhandling.parameterization.ListParameterization
Add a parameter to the parameter list
addParameter(Parameter<?>, String, int, int) - Method in class elki.gui.util.DynamicParameters
Add a single parameter to the list
addParameter(Object, Parameter<?>, TrackParameters) - Method in class elki.gui.configurator.AbstractParameterConfigurator
 
addParameter(Object, Parameter<?>, TrackParameters) - Method in class elki.gui.configurator.ClassListParameterConfigurator
 
addParameter(Object, Parameter<?>, TrackParameters) - Method in class elki.gui.configurator.ClassParameterConfigurator
 
addParameter(Object, Parameter<?>, TrackParameters) - Method in class elki.gui.configurator.ConfiguratorPanel
Add parameter to this panel.
addParameter(Object, Parameter<?>, TrackParameters) - Method in interface elki.gui.configurator.ParameterConfigurator
Add a parameter to the panel.
addParameter(String, Object) - Method in class elki.utilities.optionhandling.parameterization.ListParameterization
Add a parameter to the parameter list
addParentInt(Metadata) - Method in class elki.result.Metadata.Hierarchy
Add a parent.
addProgress(Progress) - Method in class elki.logging.progress.ProgressTracker
Add a new Progress to the tracker.
addProgressBar(JProgressBar) - Method in class elki.gui.util.LogPanel
Add a new progress bar.
addRecursive(int[], int, byte[], int, int) - Method in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder
Recursively add merges (children first) to the order, to obtain a monotone ordering.
addRecursively(ArrayList<double[]>, Hierarchy<Cluster<Model>>, Cluster<Model>) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Instance
Recursively add a cluster and its children for alpha shapes.
addRelation(Relation<?>) - Method in class elki.database.ProxyDatabase
Add a new representation.
addResultListener(ResultListener) - Method in class elki.result.Metadata
Register a result listener.
addResultListener(ResultListener) - Method in class elki.visualization.VisualizerContext
Register a result listener.
addRotation(int, int, double) - Method in class elki.data.synthetic.bymodel.GeneratorSingleCluster
Apply a rotation to the generator
addRotation(int, int, double) - Method in class elki.math.linearalgebra.AffineTransformation
Convenience function to apply a rotation in 2 dimensions.
addScaling(double) - Method in class elki.math.linearalgebra.AffineTransformation
Simple linear (symmetric) scaling.
addShadowFilter(SVGPlot) - Static method in class elki.visualization.svg.SVGEffects
Static method to prepare a SVG document for drop shadow effects.
AddSingleScale - Class in elki.algorithm.statistics
Pseudo "algorithm" that computes the global min/max for a relation across all attributes.
AddSingleScale(double[]) - Constructor for class elki.algorithm.statistics.AddSingleScale
Constructor.
AddSingleScale.Par - Class in elki.algorithm.statistics
Parameterization class.
addSingleton(SimplifiedHierarchyExtraction.TempCluster, int, DBIDRef, double, boolean) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance
Add a singleton object, as point or cluster.
addTo(T) - Method in interface elki.database.ids.DBIDIter
Add all remaining elements of an iterator to an existing collection.
addToFirst(E, double) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments
Add an entry to the first set.
addTooltips(String, Relation<?>, VisualizerContext, Relation<?>, ScatterPlotProjector<?>) - Method in class elki.visualization.visualizers.scatterplot.TooltipStringVisualization
 
addTooltips(String, Relation<?>, VisualizerContext, ScatterPlotProjector<?>, Relation<?>) - Method in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization
Add tooltips.
addToplevelCluster(Cluster<M>) - Method in class elki.data.Clustering
Add a cluster to the clustering.
addToSecond(E, double) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments
Add an entry to the second set.
addToStatistics(ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.ClusteringFeature
Merge an other clustering features.
addToStatistics(NumberVector) - Method in class elki.clustering.hierarchical.birch.ClusteringFeature
Add a number vector to the current node.
addToStatistics(NumberVector) - Method in class elki.index.tree.betula.features.BIRCHCF
 
addToStatistics(NumberVector) - Method in interface elki.index.tree.betula.features.ClusterFeature
Add NumberVector to CF
addToStatistics(NumberVector) - Method in class elki.index.tree.betula.features.VIIFeature
 
addToStatistics(NumberVector) - Method in class elki.index.tree.betula.features.VVIFeature
 
addToStatistics(NumberVector) - Method in class elki.index.tree.betula.features.VVVFeature
 
addToStatistics(BIRCHCF) - Method in class elki.index.tree.betula.features.BIRCHCF
 
addToStatistics(ClusterFeature) - Method in class elki.index.tree.betula.features.BIRCHCF
 
addToStatistics(ClusterFeature) - Method in interface elki.index.tree.betula.features.ClusterFeature
Add other CF to CF
addToStatistics(ClusterFeature) - Method in class elki.index.tree.betula.features.VIIFeature
 
addToStatistics(ClusterFeature) - Method in class elki.index.tree.betula.features.VVIFeature
 
addToStatistics(ClusterFeature) - Method in class elki.index.tree.betula.features.VVVFeature
 
addToStatistics(VIIFeature) - Method in class elki.index.tree.betula.features.VIIFeature
 
addToStatistics(VVIFeature) - Method in class elki.index.tree.betula.features.VVIFeature
 
addToStatistics(VVVFeature) - Method in class elki.index.tree.betula.features.VVVFeature
 
addToTies(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
Ensure the ties array has capacity for at least one more element.
addTranslation(double[]) - Method in class elki.data.synthetic.bymodel.GeneratorSingleCluster
Add a translation to the generator
addTranslation(double[]) - Method in class elki.math.linearalgebra.AffineTransformation
Add a translation operation to the matrix
AddUniformScale - Class in elki.algorithm.statistics
Pseudo "algorithm" that computes the global min/max for a relation across all attributes.
AddUniformScale() - Constructor for class elki.algorithm.statistics.AddUniformScale
Constructor.
addUpdateRunner(UpdateRunner) - Method in class elki.visualization.batikutil.JSVGUpdateSynchronizer
 
addUpdateRunner(UpdateRunner) - Method in interface elki.visualization.svg.UpdateSynchronizer
Set an update runner to use.
addVis(Object, VisualizationItem) - Method in class elki.visualization.VisualizerContext
Add (register) a visualization.
addVisualizationListener(VisualizationListener) - Method in class elki.visualization.VisualizationTree
Add a listener.
addVisualizationListener(VisualizationListener) - Method in class elki.visualization.VisualizerContext
Add a listener.
addWeakChild(Object) - Method in class elki.result.Metadata.Hierarchy
Add a weak child to this node, which may be automatically garbage collected.
adjust - Variable in class elki.clustering.correlation.CASH
Apply adjustment heuristic for interval choosing.
adjust - Variable in class elki.clustering.correlation.CASH.Par
Apply adjustment heuristic for interval choosing.
adjust(double[][], double[], int) - Method in class elki.clustering.correlation.HiCO
Inserts the specified vector into the given orthonormal matrix v at column corrDim.
ADJUST_ID - Static variable in class elki.clustering.correlation.CASH.Par
Flag to indicate that an adjustment of the applied heuristic for choosing an interval is performed after an interval is selected.
adjustApproximatedKNNDistances(MkAppEntry, Map<DBID, KNNList>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
Adjusts the knn distance in the subtree of the specified root entry.
adjustApproximatedKNNDistances(MkCoPEntry, Map<DBID, KNNList>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Adjusts the knn distance in the subtree of the specified root entry.
adjustDistances(DBIDRef, DoubleDBIDListIter, double, double, ModifiableDoubleDBIDList) - Static method in class elki.outlier.intrinsic.ISOS
 
adjusted - Variable in class elki.math.statistics.dependence.mcde.MWPTest.MWPRanking
Adjusted ranks
adjustedArithmeticMI() - Method in class elki.evaluation.clustering.Entropy
Get the adjusted mutual information using the arithmetic version.
adjustedEps(int) - Method in class elki.outlier.subspace.OUTRES.KernelDensityEstimator
Rescale the query radius based on the given dimensionality.
adjustedGeometricMI() - Method in class elki.evaluation.clustering.Entropy
Get the adjusted mutual information using the geometric version.
adjustedJointMI() - Method in class elki.evaluation.clustering.Entropy
Get the adjusted mutual information using the joint version.
adjustedMaxMI() - Method in class elki.evaluation.clustering.Entropy
Get the adjusted mutual information using the max version.
adjustedMinMI() - Method in class elki.evaluation.clustering.Entropy
Get the adjusted mutual information using the min version.
adjustedRandIndex() - Method in class elki.evaluation.clustering.PairCounting
Computes the adjusted Rand index (ARI).
adjustedSymmetricGini() - Method in class elki.evaluation.clustering.ClusterContingencyTable
Compute the adjusted average Gini for each cluster (in both clusterings - symmetric).
adjustEntry(E) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Adjusts the parameters of the entry representing this node.
adjustEntry(MkAppEntry, DBID, double, AbstractMTree<O, MkAppTreeNode<O>, MkAppEntry, ?>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
Adjusts the parameters of the entry representing this node.
adjustEntry(MkCoPEntry, DBID, double, AbstractMTree<O, MkCoPTreeNode<O>, MkCoPEntry, ?>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
 
adjustEntry(MkMaxEntry, DBID, double, AbstractMTree<O, MkMaxTreeNode<O>, MkMaxEntry, ?>) - Method in class 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, DBID, double, AbstractMTree<O, MkTabTreeNode<O>, MkTabEntry, ?>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode
 
adjustEntry(DeLiCluEntry) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode
 
adjustEntry(RdKNNEntry) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode
 
adjustEntry(E, DBID, double, AbstractMTree<O, N, E, ?>) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTreeNode
Adjusts the parameters of the entry representing this node (e.g., after insertion of new objects).
adjustEntryIncremental(E, SpatialComparable) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Adjusts the parameters of the entry representing this node.
AdjustingEditor() - Constructor for class elki.gui.util.ParameterTable.AdjustingEditor
Constructor.
adjustKNNDistances(RdKNNEntry, ArrayDBIDs, double[]) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
Adjusts the knn distance in the subtree of the specified root entry.
adjustTree(IndexTreePath<E>) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree
Adjusts the tree after insertion of some nodes.
adjustTree(IndexTreePath<E>) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Adjusts the tree after insertion of some nodes.
advance() - Method in class elki.clustering.hierarchical.birch.CFTree.LeafIterator
 
advance() - Method in interface elki.database.ids.DBIDArrayIter
 
advance() - Method in interface elki.database.ids.DBIDIter
 
advance() - Method in interface elki.database.ids.DoubleDBIDIter
 
advance() - Method in interface elki.database.ids.DoubleDBIDListIter
 
advance() - Method in class elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
 
advance() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
 
advance() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
 
advance() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
 
advance() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
 
advance() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
 
advance() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap.UnorderedIter
 
advance() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap.UnorderedIter
 
advance() - Method in interface elki.database.ids.integer.DoubleIntegerDBIDListIter
 
advance() - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr
 
advance() - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr
 
advance() - Method in class elki.database.ids.integer.IntegerDBID.Itr
 
advance() - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
 
advance() - Method in class elki.database.ids.integer.IntegerDBIDPair.Itr
 
advance() - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
 
advance() - Method in class elki.database.ids.integer.IntegerDBIDRange.Itr
 
advance() - Method in class elki.database.ids.integer.IntegerDBIDVar.Itr
 
advance() - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr
 
advance() - Method in class elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter
 
advance() - Method in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher
 
advance() - Method in class elki.database.query.distance.LinearScanPrioritySearcher
 
advance() - Method in class elki.database.query.ExactPrioritySearcher
 
advance() - Method in interface elki.database.query.PrioritySearcher
 
advance() - Method in class elki.database.query.WrappedPrioritySearchDBIDByLookup
 
advance() - Method in class elki.evaluation.scores.adapter.AbstractVectorIter
 
advance() - Method in class elki.evaluation.scores.adapter.DistanceResultAdapter
 
advance() - Method in class elki.evaluation.scores.adapter.FilteredDistanceResultAdapter
 
advance() - Method in class elki.evaluation.scores.adapter.OutlierScoreAdapter
 
advance() - Method in class elki.evaluation.scores.adapter.SimpleAdapter
 
advance() - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher
 
advance() - Method in class elki.index.tree.betula.CFTree.LeafIterator
 
advance() - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher
 
advance() - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher
 
advance() - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPrioritySearcher
 
advance() - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher
 
advance() - Method in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher
 
advance() - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher
 
advance() - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher
 
advance() - Method in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher
 
advance() - Method in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher
 
advance() - Method in class elki.math.geometry.XYCurve.Itr
Advance the iterator to the next position.
advance() - Method in class elki.math.geometry.XYPlot.Curve.Itr
Advance the iterator to the next position.
advance() - Method in class elki.result.Metadata.Hierarchy.ItrAnc
 
advance() - Method in class elki.result.Metadata.Hierarchy.ItrChildren
 
advance() - Method in class elki.result.Metadata.Hierarchy.ItrChildrenReverse
 
advance() - Method in class elki.result.Metadata.Hierarchy.ItrDesc
 
advance() - Method in class elki.result.Metadata.Hierarchy.ItrParents
 
advance() - Method in class elki.result.Metadata.Hierarchy.ItrParentsReverse
 
advance() - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.ComparableMinHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.DoubleMinHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.Heap.UnorderedIter
 
advance() - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.IntegerMinHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap.UnsortedIter
 
advance() - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAll
 
advance() - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc
 
advance() - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrDesc
 
advance() - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildren
 
advance() - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildrenReverse
 
advance() - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParents
 
advance() - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParentsReverse
 
advance() - Method in class elki.utilities.datastructures.hierarchy.StackedIter
 
advance() - Method in class elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
 
advance() - Method in class elki.utilities.datastructures.histogram.DoubleHistogram.Iter
 
advance() - Method in class elki.utilities.datastructures.histogram.ObjHistogram.Iter
 
advance() - Method in interface elki.utilities.datastructures.iterator.ArrayIter
 
advance() - Method in class elki.utilities.datastructures.iterator.ArrayListIter
 
advance() - Method in class elki.utilities.datastructures.iterator.ConcatIt
 
advance() - Method in class elki.utilities.datastructures.iterator.EmptyIterator
 
advance() - Method in class elki.utilities.datastructures.iterator.FilteredIt
 
advance() - Method in interface elki.utilities.datastructures.iterator.It
 
advance() - Method in interface elki.utilities.datastructures.iterator.Iter
Moves the iterator forward to the next entry.
advance() - Method in class elki.utilities.datastructures.iterator.IterableIt
 
advance() - Method in class elki.utilities.datastructures.iterator.SubtypeIt
 
advance() - Method in class elki.utilities.io.Tokenizer
 
advance(int) - Method in interface elki.database.ids.DBIDArrayIter
 
advance(int) - Method in interface elki.database.ids.DoubleDBIDListIter
 
advance(int) - Method in class elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
 
advance(int) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
 
advance(int) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
 
advance(int) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
 
advance(int) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
 
advance(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
 
advance(int) - Method in interface elki.database.ids.integer.DoubleIntegerDBIDListIter
 
advance(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr
 
advance(int) - Method in class elki.database.ids.integer.IntegerDBID.Itr
 
advance(int) - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
 
advance(int) - Method in class elki.database.ids.integer.IntegerDBIDPair.Itr
 
advance(int) - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
 
advance(int) - Method in class elki.database.ids.integer.IntegerDBIDRange.Itr
 
advance(int) - Method in class elki.database.ids.integer.IntegerDBIDVar.Itr
 
advance(int) - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr
 
advance(int) - Method in class elki.evaluation.scores.adapter.AbstractVectorIter
 
advance(int) - Method in class elki.evaluation.scores.adapter.DecreasingVectorIter
 
advance(int) - Method in class elki.evaluation.scores.adapter.IncreasingVectorIter
 
advance(int) - Method in class elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
 
advance(int) - Method in class elki.utilities.datastructures.histogram.DoubleHistogram.Iter
 
advance(int) - Method in class elki.utilities.datastructures.histogram.ObjHistogram.Iter
 
advance(int) - Method in interface elki.utilities.datastructures.iterator.ArrayIter
Moves the iterator forward or backward by the given offset.
advance(int) - Method in class elki.utilities.datastructures.iterator.ArrayListIter
 
advanceQueue() - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher
Expand the next node of the priority heap.
advanceQueue() - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher
Expand the next node of the priority heap.
advanceQueue() - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher
Expand the next node of the priority heap.
advanceQueue() - Method in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher
Expand the next node of the priority heap.
advanceQueue() - Method in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher
Expand the next node of the priority heap.
AffineProjection - Class in elki.visualization.projections
Affine projections are the most general class.
AffineProjection(Projector, LinearScale[], AffineTransformation) - Constructor for class elki.visualization.projections.AffineProjection
Constructor with a given database and axes.
AffineTransformation - Class in elki.math.linearalgebra
Affine transformations implemented using homogeneous coordinates.
AffineTransformation(int) - Constructor for class elki.math.linearalgebra.AffineTransformation
Constructor for an identity transformation.
AffineTransformation(int, double[][], double[][]) - Constructor for class elki.math.linearalgebra.AffineTransformation
Trivial constructor with all fields, mostly for cloning
affinity - Variable in class elki.projection.SNE
Affinity matrix builder.
affinity - Variable in class elki.projection.TSNE
Affinity matrix builder.
AffinityMatrix - Interface in elki.projection
Abstraction interface for an affinity matrix.
AffinityMatrixBuilder<O> - Interface in elki.projection
Interface for computing an affinity matrix.
AffinityPropagation<O> - Class in elki.clustering.affinitypropagation
Cluster analysis by affinity propagation.
AffinityPropagation(AffinityPropagationInitialization<O>, double, int, int) - Constructor for class elki.clustering.affinitypropagation.AffinityPropagation
Constructor.
AffinityPropagationInitialization<O> - Interface in elki.clustering.affinitypropagation
Initialization methods for affinity propagation.
Afinal - Variable in class elki.utilities.scaling.outlier.SigmoidOutlierScaling
Sigmoid parameter
AFKMC2 - Class in elki.clustering.kmeans.initialization
AFK-MC² initialization
AFKMC2(int, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.AFKMC2
Constructor.
AFKMC2.Instance - Class in elki.clustering.kmeans.initialization
Abstract instance implementing the weight handling.
AFKMC2.Par - Class in elki.clustering.kmeans.initialization
Parameterization class.
agg - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators
Aggregation method.
agg - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par
Aggregation method.
AggarwalYuEvolutionary - Class in elki.outlier.subspace
Evolutionary variant (EAFOD) of the high-dimensional outlier detection algorithm by Aggarwal and Yu.
AggarwalYuEvolutionary(int, int, int, RandomFactory) - Constructor for class elki.outlier.subspace.AggarwalYuEvolutionary
Constructor.
AggarwalYuEvolutionary.EvolutionarySearch - Class in elki.outlier.subspace
The inner class to handle the actual evolutionary computation.
AggarwalYuEvolutionary.Individuum - Class in elki.outlier.subspace
Individuum for the evolutionary search.
AggarwalYuEvolutionary.Par - Class in elki.outlier.subspace
Parameterization class.
AggarwalYuNaive - Class in elki.outlier.subspace
BruteForce variant of the high-dimensional outlier detection algorithm by Aggarwal and Yu.
AggarwalYuNaive(int, int) - Constructor for class elki.outlier.subspace.AggarwalYuNaive
Constructor.
AggarwalYuNaive.Par - Class in elki.outlier.subspace
Parameterization class.
aggregate - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster
Mass aggregate.
aggregate(double[]) - Method in enum elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
Aggregate values.
aggregate(T, T) - Method in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Rule to combine two bins or entries into one.
Aggregate() - Constructor for enum elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
 
AGGREGATE_ID - Static variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par
Aggregation method.
AggregatedHillEstimator - Class in elki.math.statistics.intrinsicdimensionality
Estimator using the weighted average of multiple hill estimators.
AggregatedHillEstimator() - Constructor for class elki.math.statistics.intrinsicdimensionality.AggregatedHillEstimator
 
AggregatedHillEstimator.Par - Class in elki.math.statistics.intrinsicdimensionality
Parameterization class.
aggregateSpecial(T, int) - Method in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Aggregate for a special value.
aggregateStats(Relation<? extends NumberVector>, DBIDArrayIter, int) - Method in class elki.clustering.em.KDTreeEM.KDTree
Aggregate the statistics for a leaf node.
AGNES<O> - Class in elki.clustering.hierarchical
Hierarchical Agglomerative Clustering (HAC) or Agglomerative Nesting (AGNES) is a classic hierarchical clustering algorithm.
AGNES(Distance<? super O>, Linkage) - Constructor for class elki.clustering.hierarchical.AGNES
Constructor.
AGNES.Instance - Class in elki.clustering.hierarchical
Main worker instance of AGNES.
AkaikeInformationCriterion - Class in elki.clustering.kmeans.quality
Akaike Information Criterion (AIC).
AkaikeInformationCriterion() - Constructor for class elki.clustering.kmeans.quality.AkaikeInformationCriterion
 
AkaikeInformationCriterionXMeans - Class in elki.clustering.kmeans.quality
Akaike Information Criterion (AIC).
AkaikeInformationCriterionXMeans() - Constructor for class elki.clustering.kmeans.quality.AkaikeInformationCriterionXMeans
 
alg - Variable in class elki.application.experiments.ORLibBenchmark
Clustering algorithm
alg - Variable in class elki.application.experiments.ORLibBenchmark.Par
Clustering algorithm
algorithm - Variable in class elki.application.ClassifierHoldoutEvaluationTask
Classifier to evaluate.
algorithm - Variable in class elki.application.ClassifierHoldoutEvaluationTask.Par
Classifier to evaluate.
algorithm - Variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram
Clustering algorithm to run to obtain the hierarchy.
algorithm - Variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Par
The hierarchical clustering algorithm to run.
algorithm - Variable in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction
Clustering algorithm to run to obtain the hierarchy.
algorithm - Variable in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Par
The hierarchical clustering algorithm to run.
algorithm - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction
Clustering algorithm to run to obtain the hierarchy.
algorithm - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Par
The hierarchical clustering algorithm to run.
algorithm - Variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction
Clustering algorithm to run to obtain the hierarchy.
algorithm - Variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Par
The hierarchical clustering algorithm to run.
algorithm - Variable in class elki.outlier.meta.RescaleMetaOutlierAlgorithm
Holds the algorithm to run.
algorithm - Variable in class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par
Holds the algorithm to run.
algorithm - Variable in class elki.outlier.subspace.OutRankS1.Par
Clustering algorithm to run.
Algorithm - Interface in elki
Specifies the requirements for any algorithm that is to be executable by the main class.
ALGORITHM_ID - Static variable in class elki.Algorithm.Utils
Parameter to specify the algorithm to run.
ALGORITHM_ID - Static variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par
Parameter to hand an algorithm to be wrapped and run to our instance of RepresentativeUncertainClustering.
ALGORITHM_ID - Static variable in class elki.outlier.subspace.OutRankS1.Par
Clustering algorithm to use.
ALGORITHM_ID - Static variable in class elki.workflow.AlgorithmStep.Par
Parameter to specify the algorithm to run.
Algorithm.Utils - Class in elki
Shared functionality
algorithms - Variable in class elki.gui.multistep.panels.AlgorithmTabPanel
The data input configured
algorithms - Variable in class elki.outlier.meta.SimpleOutlierEnsemble
The algorithms to run.
algorithms - Variable in class elki.outlier.meta.SimpleOutlierEnsemble.Par
The algorithms to run.
algorithms - Variable in class elki.workflow.AlgorithmStep
Holds the algorithm to run.
algorithms - Variable in class elki.workflow.AlgorithmStep.Par
Holds the algorithm to run.
algorithmStep - Variable in class elki.KDDTask
The algorithm (data mining) step.
algorithmStep - Variable in class elki.KDDTask.Par
 
AlgorithmStep - Class in elki.workflow
The "algorithms" step, where data is analyzed.
AlgorithmStep(List<? extends Algorithm>) - Constructor for class elki.workflow.AlgorithmStep
Constructor.
AlgorithmStep.Par - Class in elki.workflow
Parameterization class.
AlgorithmTabPanel - Class in elki.gui.multistep.panels
Panel to handle data processing
AlgorithmTabPanel(InputTabPanel) - Constructor for class elki.gui.multistep.panels.AlgorithmTabPanel
Constructor.
algs - Variable in class elki.gui.multistep.panels.EvaluationTabPanel
Algorithm step to run on.
algTab - Variable in class elki.gui.multistep.MultiStepGUI
Algorithm panel.
Alias - Annotation Type in elki.utilities
This interface defines alias names for classes.
aliases - Variable in class elki.utilities.ELKIServiceRegistry.Entry
Aliases hash map.
aliaslen - Variable in class elki.utilities.ELKIServiceRegistry.Entry
Occupied entries in aliases.
ALIDEstimator - Class in elki.math.statistics.intrinsicdimensionality
ALID estimator of the intrinsic dimensionality (maximum likelihood estimator for ID using auxiliary distances).
ALIDEstimator() - Constructor for class elki.math.statistics.intrinsicdimensionality.ALIDEstimator
 
ALIDEstimator.Par - Class in elki.math.statistics.intrinsicdimensionality
Parameterization class.
alignColumns(ObjectBundle) - Method in class elki.database.HashmapDatabase
Find a mapping from package columns to database columns, eventually adding new database columns when needed.
alignLabels(List<ClassLabel>, double[], Collection<ClassLabel>) - Method in class elki.classification.AbstractClassifier
Align the labels for a label query.
Alignment() - Constructor for enum elki.visualization.svg.SVGSimpleLinearAxis.Alignment
 
ALL - elki.outlier.distance.HilOut.ScoreType
All scores
ALL - Static variable in interface elki.clustering.biclustering.ChengAndChurch.CellVisitor
Different modes of operation.
ALL_PROCESSORS - Static variable in class elki.parallel.ParallelCore
The number of CPUs to use.
allClassLabels(MultipleObjectsBundle) - Static method in class elki.evaluation.classification.holdout.AbstractHoldout
Get an array of all class labels in a given data set.
allClassLabels(MultipleObjectsBundle, int) - Static method in class elki.evaluation.classification.holdout.AbstractHoldout
Get an array of all class labels in a given data set.
allLowerBound() - Method in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher
 
allLowerBound() - Method in class elki.database.query.distance.LinearScanPrioritySearcher
 
allLowerBound() - Method in class elki.database.query.ExactPrioritySearcher
 
allLowerBound() - Method in interface elki.database.query.PrioritySearcher
Lower bound for all subsequent instances (that have been completely explored).
allLowerBound() - Method in class elki.database.query.WrappedPrioritySearchDBIDByLookup
 
allLowerBound() - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher
 
allLowerBound() - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher
 
allLowerBound() - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher
 
allLowerBound() - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPrioritySearcher
 
allLowerBound() - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher
 
allLowerBound() - Method in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher
 
allLowerBound() - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher
 
allLowerBound() - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher
 
allLowerBound() - Method in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher
 
allLowerBound() - Method in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher
 
allM - Variable in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Mean of the current bicluster.
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.optics.OPTICSClusterVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.optics.OPTICSPlotVisualizer
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.parallel.ParallelAxisVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.scatterplot.AxisVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotVisualizer
 
allowThumbnails(VisualizationTask) - Method in interface elki.visualization.visualizers.VisFactory
Test whether to do a thumbnail or a full rendering.
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.visunproj.EvaluationVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.visunproj.HistogramVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.visunproj.KeyVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.visunproj.LabelVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.visunproj.PixmapVisualizer
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.visunproj.SettingsVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.visunproj.XYCurveVisualization
 
allowThumbnails(VisualizationTask) - Method in class elki.visualization.visualizers.visunproj.XYPlotVisualization
 
allShortestPaths(int, double[]) - Static method in class elki.application.experiments.ORLibBenchmark
Floyd's all-pairs shortest paths
ALMOST_ONE - Static variable in class elki.math.statistics.distribution.HaltonUniformDistribution
Threshold
almostEquals(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath
Compare two matrices with a delta parameter to take numerical errors into account.
almostEquals(double[][], double[][], double) - Static method in class elki.math.linearalgebra.VMath
Compare two matrices with a delta parameter to take numerical errors into account.
almostEquals(double[], double[]) - Static method in class elki.math.linearalgebra.VMath
Compare two matrices with a delta parameter to take numerical errors into account.
almostEquals(double[], double[], double) - Static method in class elki.math.linearalgebra.VMath
Compare two matrices with a delta parameter to take numerical errors into account.
ALOCI<V extends NumberVector> - Class in elki.outlier.lof
Fast Outlier Detection Using the "approximate Local Correlation Integral".
ALOCI(NumberVectorDistance<? super V>, int, int, int, RandomFactory) - Constructor for class elki.outlier.lof.ALOCI
Constructor.
ALOCI.ALOCIQuadTree - Class in elki.outlier.lof
Simple quadtree for ALOCI.
ALOCI.Node - Class in elki.outlier.lof
Node of the ALOCI Quadtree
ALOCI.Par<O extends NumberVector> - Class in elki.outlier.lof
Parameterization class.
ALOCIQuadTree(double[], double[], double[], int, Relation<? extends NumberVector>) - Constructor for class elki.outlier.lof.ALOCI.ALOCIQuadTree
Constructor.
alongTrackDistanceDeg(double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil
The along track distance is the distance from S to Q along the track from S to E.
alongTrackDistanceDeg(double, double, double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil
The along track distance is the distance from S to Q along the track from S to E.
alongTrackDistanceRad(double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil
The along track distance is the distance from S to Q along the track from S to E.
alongTrackDistanceRad(double, double, double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil
The along track distance, is the distance from S to Q along the track S to E.
alpha - Variable in class elki.clustering.biclustering.ChengAndChurch
The parameter for multiple node deletion.
alpha - Variable in class elki.clustering.correlation.HiCO.Par
Alpha parameter
alpha - Variable in class elki.clustering.correlation.ORCLUS
Holds the value of ORCLUS.Par.ALPHA_ID.
alpha - Variable in class elki.clustering.correlation.ORCLUS.Par
Cluster reduction factor
alpha - Variable in class elki.clustering.dbscan.LSDBC
Alpha parameter.
alpha - Variable in class elki.clustering.dbscan.LSDBC.Par
Alpha parameter.
alpha - Variable in class elki.clustering.hierarchical.linkage.FlexibleBetaLinkage
Alpha parameter, derived from beta.
alpha - Variable in class elki.clustering.kmeans.initialization.SphericalAFKMC2
Parameter to balance distance vs. uniform sampling.
alpha - Variable in class elki.clustering.kmeans.initialization.SphericalAFKMC2.Instance
Parameter to balance distance vs. uniform sampling.
alpha - Variable in class elki.clustering.kmeans.initialization.SphericalAFKMC2.Par
Parameter to balance distance vs. uniform sampling.
alpha - Variable in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus
Parameter to balance distance vs. uniform sampling.
alpha - Variable in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Instance
Parameter to balance distance vs. uniform sampling.
alpha - Variable in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Par
Parameter to balance distance vs. uniform sampling.
alpha - Variable in class elki.clustering.subspace.DOC
Relative density threshold parameter alpha.
alpha - Variable in class elki.clustering.subspace.DOC.Par
Relative density threshold parameter Alpha.
alpha - Variable in class elki.clustering.subspace.HiSC
Holds the maximum diversion allowed.
alpha - Variable in class elki.clustering.subspace.HiSC.Par
The maximum absolute variance along a coordinate axis.
alpha - Variable in class elki.clustering.subspace.P3C
Alpha threshold for testing.
alpha - Variable in class elki.clustering.subspace.P3C.Par
Parameter for the chi squared test threshold.
alpha - Variable in class elki.clustering.uncertain.RepresentativeUncertainClustering
Alpha parameter for confidence.
alpha - Variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par
Alpha parameter for confidence.
alpha - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
Expected outlier rate alpha.
alpha - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Par
Expected outlier rate alpha.
alpha - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Working space for alphas
alpha - Variable in class elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter
The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.
alpha - Variable in class elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter.Par
The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.
alpha - Variable in class elki.math.statistics.dependence.HiCSDependence.Par
Alpha threshold
alpha - Variable in class elki.math.statistics.dependence.MCDEDependence
Expected share of instances in slice (independent dimensions).
alpha - Variable in class elki.math.statistics.dependence.MCDEDependence.Par
Holds the value of MCDEDependence.Par.ALPHA_ID.
alpha - Variable in class elki.math.statistics.distribution.BetaDistribution
Shape parameter of beta distribution
alpha - Variable in class elki.math.statistics.distribution.BetaDistribution.Par
Parameters.
alpha - Variable in class elki.outlier.clustering.CBLOF
The ratio of the size that separates the large clusters from the small clusters.
alpha - Variable in class elki.outlier.lof.ALOCI
Alpha (level difference of sampling and counting neighborhoods)
alpha - Variable in class elki.outlier.lof.ALOCI.Par
Alpha: number of levels difference to use in comparison
alpha - Variable in class elki.outlier.lof.LOCI
Scaling of averaging neighborhood.
alpha - Variable in class elki.outlier.meta.HiCS
Alpha threshold.
alpha - Variable in class elki.outlier.spatial.CTLuGLSBackwardSearchAlgorithm
Parameter Alpha - significance niveau
alpha - Variable in class elki.outlier.spatial.CTLuRandomWalkEC
Parameter alpha: Attribute difference exponent.
alpha - Variable in class elki.outlier.subspace.OutRankS1
Weighting parameter of size vs. dimensionality score.
alpha - Variable in class elki.outlier.subspace.OutRankS1.Par
Alpha parameter to balance parameters
alpha - Variable in class elki.outlier.subspace.SOD
Alpha (discriminance value).
alpha - Variable in class elki.outlier.subspace.SOD.Par
Alpha (discriminance value).
alpha - Variable in class elki.svm.solver.Solver
 
alpha - Variable in class elki.svm.solver.Solver.SolutionInfo
 
alpha - Variable in class elki.timeseries.SigniTrendChangeDetection
Exponential aging parameter.
alpha - Variable in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling
Mixing parameter alpha
alpha - Variable in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization
Alpha parameter
alpha - Variable in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Par
Alpha value
ALPHA_ID - Static variable in class elki.clustering.correlation.HiCO.Par
The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.
ALPHA_ID - Static variable in class elki.clustering.correlation.ORCLUS.Par
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_ID - Static variable in class elki.clustering.dbscan.LSDBC.Par
Parameter for the maximum density difference.
ALPHA_ID - Static variable in class elki.clustering.kmeans.initialization.SphericalAFKMC2.Par
Alpha parameter, usually 1.5
ALPHA_ID - Static variable in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Par
Alpha parameter, usually 1.5
ALPHA_ID - Static variable in class elki.clustering.subspace.DOC.Par
Relative density threshold parameter Alpha.
ALPHA_ID - Static variable in class elki.clustering.subspace.HiSC.Par
The maximum absolute variance along a coordinate axis.
ALPHA_ID - Static variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par
Alpha parameter for confidence estimation.
ALPHA_ID - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Par
Shape parameter.
ALPHA_ID - Static variable in class elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter.Par
The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.
ALPHA_ID - Static variable in class elki.math.statistics.dependence.HiCSDependence.Par
Parameter that determines the size of the test statistic during the Monte-Carlo iteration.
ALPHA_ID - Static variable in class elki.math.statistics.dependence.MCDEDependence.Par
Parameter that specifies the size of the slice
ALPHA_ID - Static variable in class elki.math.statistics.distribution.BetaDistribution.Par
Alpha parameter.
ALPHA_ID - Static variable in class elki.outlier.lof.ALOCI.Par
Parameter to specify the averaging neighborhood scaling.
ALPHA_ID - Static variable in class elki.outlier.subspace.OutRankS1.Par
Alpha parameter for S1
ALPHA_ID - Static variable in class elki.outlier.subspace.SOD.Par
Parameter to indicate the multiplier for the discriminance value for discerning small from large variances.
ALPHA_ID - Static variable in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Par
Alpha-Value for alpha-shapes
alpha_status - Variable in class elki.svm.solver.Solver
 
ALPHA_THRESHOLD_ID - Static variable in class elki.clustering.subspace.P3C.Par
Parameter for the chi squared test threshold.
alpha2 - Variable in class elki.math.geometry.AlphaShape
Alpha shape
alphaBetaPWM(A, NumberArrayAdapter<?, A>, int) - Static method in class elki.math.statistics.ProbabilityWeightedMoments
Compute the alpha_r and beta_r factors in parallel using the method of probability-weighted moments.
alphaExtremum - Variable in class elki.clustering.correlation.cash.ParameterizationFunction
Holds the alpha values of the global extremum.
alphaPWM(A, NumberArrayAdapter<?, A>, int) - Static method in class elki.math.statistics.ProbabilityWeightedMoments
Compute the alpha_r factors using the method of probability-weighted moments.
AlphaShape - Class in elki.math.geometry
Compute the alpha-shape of a point set, using Delaunay triangulation.
AlphaShape(List<double[]>, double) - Constructor for class elki.math.geometry.AlphaShape
Constructor.
alphasqrt - Variable in class elki.math.statistics.dependence.HiCSDependence
Alpha threshold
AlternateRefinement<O> - Class in elki.clustering.kmedoids.initialization
Meta-Initialization for k-medoids by performing one (or many) k-means-style iteration.
AlternateRefinement(KMedoidsInitialization<O>, int) - Constructor for class elki.clustering.kmedoids.initialization.AlternateRefinement
Constructor.
AlternateRefinement.Par<O> - Class in elki.clustering.kmedoids.initialization
Parameterization class.
AlternatingKMedoids<O> - Class in elki.clustering.kmedoids
A k-medoids clustering algorithm, implemented as EM-style batch algorithm; known in literature as the "alternate" method.
AlternatingKMedoids(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.kmedoids.AlternatingKMedoids
Constructor.
AlternatingKMedoids.Par<V> - Class in elki.clustering.kmedoids
Parameterization class.
AlternativeTypeInformation - Class in elki.data.type
Class that combines multiple type restrictions into one using the "or" operator.
AlternativeTypeInformation(TypeInformation...) - Constructor for class elki.data.type.AlternativeTypeInformation
Constructor.
amountVantagePoints - Variable in class elki.index.tree.metrical.vptree.GNAT.Factory.Par
Sample size
an1 - Variable in class elki.clustering.kmeans.HartiganWongKMeans.Instance
Weights for adding/removing points from a cluster.
an2 - Variable in class elki.clustering.kmeans.HartiganWongKMeans.Instance
Weights for adding/removing points from a cluster.
analyseDimWidth(Relation<? extends NumberVector>) - Method in class elki.clustering.em.KDTreeEM
Helper method to retrieve the widths of all data in all dimensions.
andCMin(long[], long[]) - Static method in class elki.utilities.datastructures.BitsUtil
AND o onto v in a copy, i.e. v & o
Anderberg<O> - Class in elki.clustering.hierarchical
This is a modification of the classic AGNES algorithm for hierarchical clustering using a nearest-neighbor heuristic for acceleration.
Anderberg(Distance<? super O>, Linkage) - Constructor for class elki.clustering.hierarchical.Anderberg
Constructor.
Anderberg.Instance - Class in elki.clustering.hierarchical
Main worker instance of Anderberg's algorithm.
AndersonDarlingTest - Class in elki.math.statistics.tests
Perform Anderson-Darling test for a Gaussian distribution.
AndersonDarlingTest() - Constructor for class elki.math.statistics.tests.AndersonDarlingTest
Private constructor.
andI(long[], long[]) - Static method in class elki.utilities.datastructures.BitsUtil
AND o onto v in-place, i.e. v &= o
andI(long[], long[], int) - Static method in class elki.utilities.datastructures.BitsUtil
AND o onto v in-place, i.e. v &= (o << off)
andOnto(long[]) - Method in class elki.data.BitVector
Combine onto v using the AND operation, i.e.
angle(double[], double[]) - Static method in class elki.math.linearalgebra.VMath
Compute the cosine of the angle between two vectors, where the smaller angle between those vectors is viewed.
angle(double[], double[], double[]) - Static method in class elki.math.linearalgebra.VMath
Compute the cosine of the angle between two vectors, where the smaller angle between those vectors is viewed.
angle(NumberVector, NumberVector, NumberVector) - Static method in class elki.data.VectorUtil
Compute the angle between two vectors with respect to a reference point.
angleDense(NumberVector, NumberVector) - Static method in class elki.data.VectorUtil
Compute the absolute cosine of the angle between two dense vectors.
angleSparse(SparseNumberVector, SparseNumberVector) - Static method in class elki.data.VectorUtil
Compute the angle for sparse vectors.
angleSparseDense(SparseNumberVector, NumberVector) - Static method in class elki.data.VectorUtil
Compute the angle for a sparse and a dense vector.
AngTanLinearSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.split
Line-time complexity split proposed by Ang and Tan.
AngTanLinearSplit() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit
 
AngTanLinearSplit.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.split
Parameterization class.
AnnulusKMeans<V extends NumberVector> - Class in elki.clustering.kmeans
Annulus k-means algorithm.
AnnulusKMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization, boolean) - Constructor for class elki.clustering.kmeans.AnnulusKMeans
Constructor.
AnnulusKMeans.Instance - Class in elki.clustering.kmeans
Inner instance, storing state for a single data set.
AnnulusKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans
Parameterization class.
antecedent - Variable in class elki.itemsetmining.associationrules.AssociationRule
Consequent itemset
ANY - Static variable in class elki.data.type.TypeUtil
Input type for algorithms that accept anything.
APIViolationException - Exception in elki.utilities.exceptions
This class indicates an exception likely caused by an API not implemented correctly.
APIViolationException(String) - Constructor for exception elki.utilities.exceptions.APIViolationException
Constructor.
APIViolationException(String, Throwable) - Constructor for exception elki.utilities.exceptions.APIViolationException
Constructor.
APP_PREFIX - Variable in class elki.gui.minigui.MiniGUI
Prefix for application package.
appCombo - Variable in class elki.gui.minigui.MiniGUI
Combo box for choosing the application to run.
append - Variable in class elki.result.ClusteringVectorDumper
Always append to the output file.
append - Variable in class elki.result.ClusteringVectorDumper.Par
Always append to the output file.
append(char) - Method in class elki.visualization.svg.SVGPath
Append an action to the current path.
append(double) - Method in class elki.visualization.svg.SVGPath
Append a value to the current path.
append(double, int) - Method in class elki.outlier.lof.LOCI.DoubleIntArrayList
Append a key-value pair.
append(SimpleTypeInformation<?>, Object) - Method in class elki.datasource.bundle.SingleObjectBundle
Append a single representation to the object.
APPEND_ID - Static variable in class elki.result.ClusteringVectorDumper.Par
Append flag.
appendCauses(StringBuilder, Throwable) - Method in class elki.logging.ErrorFormatter
Append (pruned) stack traces for associated exceptions.
appendColumn(SimpleTypeInformation<?>, List<?>) - Method in class elki.datasource.bundle.MultipleObjectsBundle
Helper to add a single column to the bundle.
appendColumns(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath
Returns a matrix which consists of this matrix and the specified columns.
appendCSSDefinition(StringBuilder) - Method in class elki.visualization.css.CSSClass
Append CSS definition to a stream
appendItemsTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class elki.itemsetmining.DenseItemset
 
appendItemsTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class elki.itemsetmining.Itemset
Only append the items to a string buffer.
appendItemsTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class elki.itemsetmining.OneItemset
 
appendItemsTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class elki.itemsetmining.SmallDenseItemset
 
appendParameterization(Parameterization) - Method in class elki.utilities.optionhandling.parameterization.ChainedParameterization
Append a new Parameterization to the chain.
appendParameters(ListParameterization) - Method in class elki.gui.configurator.AbstractParameterConfigurator
 
appendParameters(ListParameterization) - Method in class elki.gui.configurator.ClassListParameterConfigurator
 
appendParameters(ListParameterization) - Method in class elki.gui.configurator.ClassParameterConfigurator
 
appendParameters(ListParameterization) - Method in class elki.gui.configurator.ConfiguratorPanel
 
appendParameters(ListParameterization) - Method in interface elki.gui.configurator.ParameterConfigurator
Append the parameters to a list.
appendParameters(ListParameterization) - Method in class elki.gui.multistep.panels.ParameterTabPanel
Collect parameters
appendSimple(Object...) - Method in class elki.datasource.bundle.MultipleObjectsBundle
Append a new record to the data set.
appendSpace(StringBuilder, int) - Static method in class elki.utilities.io.FormatUtil
Append whitespace to a buffer.
appendTo(StringBuilder) - Method in class elki.timeseries.ChangePoint
Append to a text buffer.
appendTo(StringBuilder, int) - Method in interface elki.itemsetmining.FPGrowth.FPNode.Translator
Append a single item to a buffer.
appendTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class elki.itemsetmining.associationrules.AssociationRule
Append to a string buffer.
appendTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class elki.itemsetmining.Itemset
Append items and support to a string buffer.
appendTo(StringBuilder, FPGrowth.FPNode.Translator) - Method in class elki.itemsetmining.FPGrowth.FPNode
Debugging function: build a text representation of the tree.
appendTo(StringBuilder, FPGrowth.FPNode.Translator, int) - Method in class elki.itemsetmining.FPGrowth.FPNode
Debugging function: build a text representation of the tree.
appendToBuffer(StringBuilder) - Method in class elki.data.spatial.Polygon
Append the polygon to the buffer.
appendToBuffer(StringBuilder) - Method in class elki.data.spatial.PolygonsObject
Append polygons to the buffer.
appendToBuffer(StringBuilder) - Method in class elki.logging.progress.AbstractProgress
Serialize a description into a String buffer.
appendToBuffer(StringBuilder) - Method in class elki.logging.progress.FiniteProgress
Append a string representation of the progress to the given string buffer.
appendToBuffer(StringBuilder) - Method in class elki.logging.progress.IndefiniteProgress
Serialize 'indefinite' progress.
appendToBuffer(StringBuilder) - Method in class elki.logging.progress.MutableProgress
 
appendToBuffer(StringBuilder) - Method in interface elki.logging.progress.Progress
Serialize a description into a String buffer.
appendToBuffer(StringBuilder) - Method in class elki.logging.progress.StepProgress
 
appendZeros(StringBuilder, int) - Static method in class elki.utilities.io.FormatUtil
Append zeros to a buffer.
apply(double[]) - Method in class elki.math.linearalgebra.AffineTransformation
Apply the transformation onto a vector
apply(GL2) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera
Apply the camera to a GL context.
applyInverse(double[]) - Method in class elki.math.linearalgebra.AffineTransformation
Apply the inverse transformation onto a vector
applyLoggingLevels(String[][]) - Static method in class elki.application.AbstractApplication.Par
Apply the logging levels.
applyPrescaling(ScalingFunction, Relation<NumberVector>, DBIDs) - Static method in class elki.application.greedyensemble.GreedyEnsembleExperiment
Prescale each vector (except when in skip) with the given scaling function.
applyRelative(double[]) - Method in class elki.math.linearalgebra.AffineTransformation
Apply the transformation onto a vector
applyRelativeInverse(double[]) - Method in class elki.math.linearalgebra.AffineTransformation
Apply the inverse transformation onto a vector
applyScaling(double[], ScalingFunction) - Static method in class elki.application.greedyensemble.GreedyEnsembleExperiment
 
approx - Variable in class elki.index.vafile.PartialVAFile.PartialVACandidate
The actual approximation.
approximateBinomialCoefficient(int, int) - Static method in class elki.math.MathUtil
Binomial coefficent, also known as "n choose k").
approximateConservativeKnnDistance(int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry
Returns the conservative approximated knn distance of the entry.
approximateConservativeKnnDistance(int) - Method in interface elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPEntry
Returns the conservative approximated knn distance of the entry.
approximateConservativeKnnDistance(int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
Returns the conservative approximated knn distance of the entry.
approximatedValueAt(int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry
Returns the approximated value at the specified k.
approximatedValueAt(int) - Method in interface elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppEntry
Returns the approximated value at the specified k.
approximatedValueAt(int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry
Returns the approximated value at the specified k.
approximateFactorial(int) - Static method in class elki.math.MathUtil
Compute the Factorial of n, often written as c!
approximateKnnDistances(double[]) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
Computes the polynomial approximation of the specified knn-distances.
approximateKnnDistances(MkCoPLeafEntry, KNNList) - Method in class 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 elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Approximates the lower hull.
approximatelyLinearDependent(PCAFilteredResult, PCAFilteredResult) - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Instance
Returns true, if the strong eigenvectors of the two specified PCAs span up the same space.
approximateProgressiveKnnDistance(int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
Returns the progressive approximated knn distance of the entry.
approximateUpperHull(ConvexHull, double[], double[]) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
 
approximateUpperHullOld(ConvexHull, double[], double, double, double[], double, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
 
approximateUpperHullPaper(ConvexHull, double[], double, double, double[], double, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
 
approximation - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry
The polynomial approximation.
approximation - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry
The polynomial approximation.
approximation - Variable in class elki.index.vafile.VectorApproximation
approximation (va cell ids)
ApproximationLine - Class in 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 elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine
Empty constructor for serialization purposes.
ApproximationLine(int, double, double) - Constructor for class 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.
ApproximativeLeastOverlapInsertionStrategy - Class in elki.index.tree.spatial.rstarvariants.strategies.insert
The choose subtree method proposed by the R*-Tree with slightly better performance for large leaf sizes (linear approximation).
ApproximativeLeastOverlapInsertionStrategy(int) - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy
Constructor.
ApproximativeLeastOverlapInsertionStrategy.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.insert
Parameterization class.
APRIORI - Class in elki.itemsetmining
The APRIORI algorithm for Mining Association Rules.
APRIORI - elki.clustering.subspace.DiSH.Strategy
Apriori strategy.
APRIORI(double) - Constructor for class elki.itemsetmining.APRIORI
Constructor with minimum frequency.
APRIORI(double, int, int) - Constructor for class elki.itemsetmining.APRIORI
Constructor with minimum frequency.
APRIORI.Par - Class in elki.itemsetmining
Parameterization class.
aprioriGenerate(List<? extends Itemset>, int, int) - Method in class elki.itemsetmining.APRIORI
Prunes a given set of candidates to keep only those BitSets where all subsets of bits flipping one bit are frequent already.
ARBITRARY_SIMILARITY - Variable in class elki.distance.adapter.AbstractSimilarityAdapter.Par
Arbitrary Similarity functions
arcball - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
Arcball controller.
Arcball1DOFAdapter - Class in elki.visualization.parallel3d.util
Arcball style helper.
Arcball1DOFAdapter(Simple1DOFCamera) - Constructor for class elki.visualization.parallel3d.util.Arcball1DOFAdapter
Constructor.
ArcCosineDistance - Class in elki.distance
Arcus cosine distance function for feature vectors.
ArcCosineDistance() - Constructor for class elki.distance.ArcCosineDistance
Deprecated.
Use static instance!
ArcCosineDistance.Par - Class in elki.distance
Parameterization class.
ArcCosineKNNQuery() - Constructor for class elki.index.invertedlist.InMemoryInvertedIndex.ArcCosineKNNQuery
 
ArcCosineRangeQuery() - Constructor for class elki.index.invertedlist.InMemoryInvertedIndex.ArcCosineRangeQuery
 
ArcCosineUnitlengthDistance - Class in elki.distance
Arcus cosine distance function for feature vectors.
ArcCosineUnitlengthDistance() - Constructor for class elki.distance.ArcCosineUnitlengthDistance
Deprecated.
Use static instance!
ArcCosineUnitlengthDistance.Par - Class in elki.distance
Parameterization class.
ArccosSimilarityAdapter<O> - Class in elki.distance.adapter
Adapter from a normalized similarity function to a distance function using arccos(sim).
ArccosSimilarityAdapter(NormalizedSimilarity<? super O>) - Constructor for class elki.distance.adapter.ArccosSimilarityAdapter
Constructor.
ArccosSimilarityAdapter.Instance<O> - Class in elki.distance.adapter
Distance function instance
ArccosSimilarityAdapter.Par<O> - Class in elki.distance.adapter
Parameterization class.
areas - Variable in class elki.clustering.optics.OPTICSXi.SteepAreaResult
Storage
areas - Variable in class elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
Our clustering
areaShoelace() - Method in class elki.data.spatial.Polygon
Compute the polygon area (geometric, not geographic) using the Shoelace formula.
areaUnderCurve(XYCurve) - Static method in class elki.math.geometry.XYCurve
Compute the area under curve for a curve monotonously increasing in X.
ARFF_COMMENT - Static variable in class elki.datasource.parser.ArffParser
Comment pattern.
ARFF_HEADER_ATTRIBUTE - Static variable in class elki.datasource.parser.ArffParser
Arff attribute declaration marker.
ARFF_HEADER_DATA - Static variable in class elki.datasource.parser.ArffParser
Arff data marker.
ARFF_HEADER_RELATION - Static variable in class elki.datasource.parser.ArffParser
Arff file marker.
ARFF_NUMERIC - Static variable in class elki.datasource.parser.ArffParser
Pattern for numeric columns.
ArffParser - Class in elki.datasource.parser
Parser to load WEKA .arff files into ELKI.
ArffParser(String, String) - Constructor for class elki.datasource.parser.ArffParser
Constructor.
ArffParser(Pattern, Pattern) - Constructor for class elki.datasource.parser.ArffParser
Constructor.
ArffParser.Par - Class in elki.datasource.parser
Parameterization class.
argmax(double[]) - Static method in class elki.math.linearalgebra.VMath
Find the maximum value.
argmax(double[], int, int) - Static method in class elki.math.linearalgebra.VMath
Find the maximum value.
argmaxdiff(double[]) - Static method in class elki.index.tree.spatial.kd.split.SplitStrategy.Util
Find the largest difference
argmin(double[]) - Static method in class elki.math.linearalgebra.VMath
Find the minimum value.
argmin(double[], int, int) - Static method in class elki.math.linearalgebra.VMath
Find the minimum value.
arithmeticNMI() - Method in class elki.evaluation.clustering.Entropy
Get the arithmetic averaged normalized mutual information.
arrange(VisualizerContext) - Method in class elki.visualization.projector.HistogramProjector
 
arrange(VisualizerContext) - Method in class elki.visualization.projector.OPTICSProjector
 
arrange(VisualizerContext) - Method in class elki.visualization.projector.ParallelPlotProjector
 
arrange(VisualizerContext) - Method in interface elki.visualization.projector.Projector
Produce an arrangement of projections.
arrange(VisualizerContext) - Method in class elki.visualization.projector.ScatterPlotProjector
 
arrange(VisualizerContext) - Method in class elki.visualization.projector.SilhouettePlotProjector
 
arrangeVisualizations(double, double) - Method in class elki.visualization.gui.overview.OverviewPlot
Recompute the layout of visualizations.
array - Variable in class elki.persistent.OnDiskUpperTriangleMatrix
Data storage
array - Variable in class elki.utilities.datastructures.arraylike.ExtendedArray
The array
array(TypeInformation...) - Static method in class elki.data.type.TypeUtil
Make a type array easily.
ARRAY2D_ADAPTER - Static variable in class elki.math.geometry.PrimsMinimumSpanningTree
Adapter class for double[][] matrixes.
Array2DAdapter() - Constructor for class elki.math.geometry.PrimsMinimumSpanningTree.Array2DAdapter
Constructor.
ArrayAdapter<T,​A> - Interface in elki.utilities.datastructures.arraylike
Adapter for array-like things.
ArrayAdapterDatabaseConnection - Class in elki.datasource
Import an existing data matrix (double[rows][cols]) into an ELKI database.
ArrayAdapterDatabaseConnection(double[][]) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection
Constructor.
ArrayAdapterDatabaseConnection(double[][], String[]) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection
Constructor.
ArrayAdapterDatabaseConnection(double[][], String[], Integer) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection
Constructor.
ArrayAdapterDatabaseConnection(double[][], String[], Integer, List<ObjectFilter>) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection
Constructor.
ArrayAdapterDatabaseConnection(double[][], String[], List<ObjectFilter>) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection
Constructor.
ArrayAdapterDatabaseConnection(double[][], List<ObjectFilter>) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection
Constructor.
ArrayDBIDs - Interface in elki.database.ids
Interface for array based DBIDs.
ArrayDBIDStore - Class in elki.database.datastore.memory
A class to answer representation queries using the stored Array.
ArrayDBIDStore(int, DataStoreIDMap) - Constructor for class elki.database.datastore.memory.ArrayDBIDStore
Constructor.
ArrayDoubleStore - Class in elki.database.datastore.memory
A class to answer representation queries using the stored Array.
ArrayDoubleStore(int, DataStoreIDMap) - Constructor for class elki.database.datastore.memory.ArrayDoubleStore
Constructor.
ArrayDoubleStore(int, DataStoreIDMap, double) - Constructor for class elki.database.datastore.memory.ArrayDoubleStore
Constructor.
ArrayIntegerStore - Class in elki.database.datastore.memory
A class to answer representation queries using the stored Array.
ArrayIntegerStore(int, DataStoreIDMap) - Constructor for class elki.database.datastore.memory.ArrayIntegerStore
Constructor.
ArrayIntegerStore(int, DataStoreIDMap, int) - Constructor for class elki.database.datastore.memory.ArrayIntegerStore
Constructor.
ArrayIter - Interface in elki.utilities.datastructures.iterator
Array iterators can also go backwards and seek.
ArrayLikeUtil - Class in elki.utilities.datastructures.arraylike
Utility class that allows plug-in use of various "array-like" types such as lists in APIs that can take any kind of array to safe the cost of reorganizing the objects into a real array.
ArrayLikeUtil() - Constructor for class elki.utilities.datastructures.arraylike.ArrayLikeUtil
Fake constructor.
ArrayListIter<O> - Class in elki.utilities.datastructures.iterator
ELKI style Iterator for array lists.
ArrayListIter(List<O>) - Constructor for class elki.utilities.datastructures.iterator.ArrayListIter
Constructor.
ArrayModifiableDBIDs - Interface in elki.database.ids
Array-oriented implementation of a modifiable DBID collection.
ArrayModifiableIntegerDBIDs - Class in elki.database.ids.integer
Class using a primitive int[] array as storage.
ArrayModifiableIntegerDBIDs() - Constructor for class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
Constructor.
ArrayModifiableIntegerDBIDs(int) - Constructor for class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
Constructor.
ArrayModifiableIntegerDBIDs(DBIDs) - Constructor for class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
Constructor.
ArrayModifiableIntegerDBIDs.Itr - Class in elki.database.ids.integer
Iterator class.
ArrayModifiableIntegerDBIDs.Slice - Class in elki.database.ids.integer
Slice of an array.
ArrayModifiableIntegerDBIDs.Slice.SliceItr - Class in elki.database.ids.integer
Iterator class.
ArrayRecordStore - Class in elki.database.datastore.memory
A class to answer representation queries using the stored Array.
ArrayRecordStore(Object[][], DataStoreIDMap) - Constructor for class elki.database.datastore.memory.ArrayRecordStore
Constructor with existing data
ArrayRecordStore.StorageAccessor<T> - Class in elki.database.datastore.memory
Access a single record in the given data.
arraysize(int) - Static method in class elki.persistent.OnDiskUpperTriangleMatrix
Compute the size of the needed backing array from the matrix dimensions.
ArrayStaticDBIDs - Interface in elki.database.ids
Unmodifiable, indexed DBIDs.
ArrayStaticIntegerDBIDs - Class in elki.database.ids.integer
Static (no modifications allowed) set of Database Object IDs.
ArrayStaticIntegerDBIDs(int...) - Constructor for class elki.database.ids.integer.ArrayStaticIntegerDBIDs
Constructor.
ArrayStaticIntegerDBIDs.Itr - Class in elki.database.ids.integer
DBID iterator in ELKI/C style.
ArrayStaticIntegerDBIDs.Slice - Class in elki.database.ids.integer
Slice of an array.
ArrayStaticIntegerDBIDs.Slice.SliceItr - Class in elki.database.ids.integer
Iterator class.
ArrayStore<T> - Class in elki.database.datastore.memory
A class to answer representation queries using the stored Array.
ArrayStore(Object[], DataStoreIDMap) - Constructor for class elki.database.datastore.memory.ArrayStore
Constructor.
ArrayUtil - Class in elki.utilities.datastructures.arrays
Utility functions for manipulating arrays.
ArrayUtil() - Constructor for class elki.utilities.datastructures.arrays.ArrayUtil
 
asByteArray(NumberVector) - Method in class elki.math.spacefillingcurves.ZCurveTransformer
Transform a single vector.
ascending - Variable in class elki.result.outlier.OrderingFromRelation
Factor for ascending (+1) and descending (-1) ordering.
AscendingByDoubleDataStore(DoubleDataStore) - Constructor for class elki.database.datastore.DataStoreUtil.AscendingByDoubleDataStore
Constructor.
AscendingByDoubleDataStoreAndId(DoubleDataStore) - Constructor for class elki.database.datastore.DataStoreUtil.AscendingByDoubleDataStoreAndId
Constructor.
AscendingByDoubleRelation(DoubleRelation) - Constructor for class elki.database.relation.RelationUtil.AscendingByDoubleRelation
Constructor.
AscendingByIntegerDataStore(IntegerDataStore) - Constructor for class elki.database.datastore.DataStoreUtil.AscendingByIntegerDataStore
Constructor.
AsciiDistanceParser - Class in elki.distance.external
Parser for parsing one distance value per line.
AsciiDistanceParser(CSVReaderFormat) - Constructor for class elki.distance.external.AsciiDistanceParser
Constructor.
AsciiDistanceParser.Par - Class in elki.distance.external
Parameterization class.
AsClusterFeature - Interface in elki.index.tree.betula.features
Get the clustering feature representation.
asDoubleArray() - Method in class elki.math.DoubleMinMax
Return minimum and maximum as array.
asIntArray() - Method in class elki.math.IntegerMinMax
Return minimum and maximum as array.
asInteger(DBIDRef) - Static method in class elki.database.ids.DBIDUtil
Export a DBID as int.
asMultipleObjectsBundle() - Method in class elki.datasource.bundle.BundleReader
 
asMultipleObjectsBundle() - Method in interface elki.datasource.bundle.BundleStreamSource
Return (or collect) the stream as bundle.
asMultipleObjectsBundle() - Method in class elki.datasource.bundle.StreamFromBundle
 
asMultipleObjectsBundle() - Method in class elki.datasource.filter.AbstractStreamFilter
 
asMultipleObjectsBundle() - Method in class elki.datasource.parser.AbstractStreamingParser
 
assertConfigured() - Static method in class elki.logging.LoggingConfiguration
Assert that logging was configured.
assertConsistent() - Method in class elki.visualization.gui.overview.RectangleArranger
 
assertRange(DBIDs) - Static method in class elki.database.ids.DBIDUtil
Assert that the presented ids constitute a continuous DBIDRange.
assertSameDimensionality(SpatialComparable, SpatialComparable) - Static method in class elki.data.spatial.SpatialUtil
Check that two spatial objects have the same dimensionality.
assertSortedByDistance(DoubleDBIDList) - Method in class elki.math.linearalgebra.pca.AutotuningPCA
Ensure that the results are sorted by distance.
assertSplitConsistent(int, int, int, int, double, DBIDArrayMIter) - Method in class elki.index.tree.spatial.kd.MemoryKDTree
Assert that the generated split is consistent.
assign(Relation<? extends NumberVector>, List<ORCLUS.ORCLUSCluster>) - Method in class elki.clustering.correlation.ORCLUS
Creates a partitioning of the database by assigning each object to its closest seed.
assign(HashMap<String, DBIDs>, String, DBIDRef) - Method in class elki.clustering.trivial.ByLabelClustering
Assigns the specified id to the labelMap according to its label
assign(HashMap<String, DBIDs>, String, DBIDRef) - Method in class elki.clustering.trivial.ByLabelHierarchicalClustering
Assigns the specified id to the labelMap according to its label
assignDBID(int, DBIDVar) - Method in class elki.datasource.bundle.MultipleObjectsBundle
 
assignDBID(int, DBIDVar) - Method in interface elki.datasource.bundle.ObjectBundle
Assign the object DBID to a variable
assignDBID(int, DBIDVar) - Method in class elki.datasource.bundle.SingleObjectBundle
 
assignDBID(DBIDVar) - Method in class elki.datasource.bundle.BundleReader
 
assignDBID(DBIDVar) - Method in interface elki.datasource.bundle.BundleStreamSource
Assign the current object ID to a DBIDVar.
assignDBID(DBIDVar) - Method in class elki.datasource.bundle.StreamFromBundle
 
assignDBID(DBIDVar) - Method in class elki.datasource.filter.AbstractStreamFilter
 
assignDBID(DBIDVar) - Method in class elki.datasource.parser.AbstractStreamingParser
 
assigned - Variable in class elki.clustering.subspace.clique.CLIQUEUnit
Flag that indicates if this unit is already assigned to a cluster.
AssignLabelsByDensity(ClassLabel[]) - Constructor for class elki.data.synthetic.bymodel.GeneratorMain.AssignLabelsByDensity
Constructor.
AssignLabelsByDistance(ClassLabel[]) - Constructor for class elki.data.synthetic.bymodel.GeneratorMain.AssignLabelsByDistance
Constructor.
assignment - Variable in class elki.clustering.kmeans.AbstractKMeans.Instance
A mapping of elements to cluster ids.
assignment - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor
Assignment storage.
assignment - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor.Instance
Cluster assignment storage.
assignment - Variable in class elki.clustering.kmedoids.CLARANS.Assignment
Cluster mapping.
assignment - Variable in class elki.clustering.kmedoids.PAM.Instance
Cluster mapping.
assignment - Variable in class elki.clustering.kmedoids.SingleAssignmentKMedoids.Instance
Cluster mapping.
assignment - Variable in class elki.clustering.silhouette.FastMSC.Instance
Distances and nearest medoids.
assignment - Variable in class elki.clustering.silhouette.FastMSC.Instance2
Output cluster mapping.
assignment - Variable in class elki.clustering.silhouette.PAMSIL.Instance
Cluster mapping.
assignment - Variable in class elki.evaluation.classification.holdout.DisjointCrossValidation
Partition assignment and size.
assignment - Variable in class elki.evaluation.classification.holdout.StratifiedCrossValidation
Partition assignment, sizes
Assignment - Interface in elki.clustering.dbscan.util
Point assignment.
Assignment(DistanceQuery<?>, DBIDs, int) - Constructor for class elki.clustering.kmedoids.CLARANS.Assignment
Constructor.
Assignment(DistanceQuery<?>, DBIDs, int) - Constructor for class elki.clustering.kmedoids.FastCLARANS.Assignment
Constructor.
Assignments<E extends MTreeEntry> - Class in elki.index.tree.metrical.mtreevariants.strategies.split.distribution
Encapsulates the attributes of an assignment during a split.
Assignments(DBID, DBID, int) - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments
Constructor.
assignPoints(ArrayDBIDs, long[][], Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.PROCLUS
Assigns the objects to the clusters.
assignProbabilitiesToInstances(Relation<? extends NumberVector>, List<? extends BetulaClusterModel>, WritableDataStore<double[]>) - Method in class elki.clustering.em.BetulaGMM
Assigns the current probability values to the instances in the database and compute the expectation value of the current mixture of distributions.
assignProbabilitiesToInstances(Relation<? extends O>, List<? extends EMClusterModel<? super O, ?>>, WritableDataStore<double[]>, WritableDoubleDataStore) - Static method in class elki.clustering.em.EM
Assigns the current probability values to the instances in the database and compute the expectation value of the current mixture of distributions.
assignProbabilitiesToInstances(Relation<V>, double[][], WritableDataStore<double[]>) - Method in class elki.clustering.kmeans.FuzzyCMeans
Calculates the weights of all points and clusters.
assignProbabilitiesToInstances(ArrayList<? extends ClusterFeature>, List<? extends BetulaClusterModel>, Map<ClusterFeature, double[]>) - Method in class elki.clustering.em.BetulaGMM
Assigns the current probability values to the instances in the database and compute the expectation value of the current mixture of distributions.
assignProbabilitiesToInstances(ArrayList<? extends ClusterFeature>, List<? extends BetulaClusterModel>, Map<ClusterFeature, double[]>) - Method in class elki.clustering.em.BetulaGMMWeighted
 
assignRemainingToNearestCluster(ArrayDBIDs, DBIDs, DBIDs, WritableIntegerDataStore, DistanceQuery<?>) - Static method in class elki.clustering.kmedoids.CLARA
Returns a list of clusters.
assignToNearestCluster() - Method in class elki.clustering.kmeans.AbstractKMeans.Instance
Assign each object to the nearest cluster.
assignToNearestCluster() - Method in class elki.clustering.kmeans.AnnulusKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.CompareMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.ElkanKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.ExponionKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.HamerlyKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.KMeansMinusMinus.Instance
Returns a list of clusters.
assignToNearestCluster() - Method in class elki.clustering.kmeans.ShallotKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.SimplifiedElkanKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.SortMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.SphericalElkanKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Instance
 
assignToNearestCluster() - Method in class elki.clustering.kmeans.YinYangKMeans.Instance
Reassign objects, but avoid unnecessary computations based on their bounds.
assignToNearestCluster() - Method in class elki.clustering.kmedoids.CLARANS.Assignment
Assign each point to the nearest medoid.
assignToNearestCluster(int[], double[][], double[][], ClusteringFeature[], int[]) - Method in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans
Assign each element to nearest cluster.
assignToNearestCluster(int[], double[][], ArrayList<? extends ClusterFeature>, int[]) - Method in class elki.clustering.kmeans.BetulaLloydKMeans
Assign each element to nearest cluster.
assignToNearestCluster(ArrayDBIDs) - Method in class elki.clustering.kmedoids.FastPAM1.Instance
Returns a list of clusters.
assignToNearestCluster(ArrayDBIDs) - Method in class elki.clustering.kmedoids.PAM.Instance
Assign each object to the nearest cluster, return the cost.
assignToNearestCluster(ArrayDBIDs) - Method in class elki.clustering.silhouette.FastMSC.Instance
Assign each object to the nearest cluster.
assignToNearestCluster(ArrayDBIDs) - Method in class elki.clustering.silhouette.FastMSC.Instance2
Assign each object to the nearest cluster.
assignToNearestCluster(ArrayDBIDs) - Method in class elki.clustering.silhouette.PAMSIL.Instance
Assign each object to the nearest cluster.
assignToNearestCluster(ArrayModifiableDBIDs) - Method in class elki.clustering.kmedoids.SingleAssignmentKMedoids.Instance
Assign each object to the nearest cluster, return the cost.
assignToNearestCluster(DBIDArrayIter, DBIDs, DistanceQuery<?>, WritableIntegerDataStore, double[]) - Static method in class elki.clustering.kmedoids.initialization.AlternateRefinement
Compute the initial cluster assignment.
assignToNearestCluster(Relation<DiscreteUncertainObject>, List<double[]>, List<? extends ModifiableDBIDs>, WritableIntegerDataStore, double[]) - Method in class elki.clustering.uncertain.UKMeans
Returns a list of clusters.
assignUnassigned(Relation<? extends NumberVector>, WritableDataStore<double[]>, List<MultivariateGaussianModel>, ModifiableDBIDs) - Method in class elki.clustering.subspace.P3C
Assign unassigned objects to best candidate based on shortest Mahalanobis distance.
assignVar(int, DBIDVar) - Method in class elki.clustering.hierarchical.ClusterMergeHistory
Access the i'th singleton via a variable.
assignVar(int, DBIDVar) - Method in interface elki.database.ids.ArrayDBIDs
Assign a DBID variable the value of position index.
assignVar(int, DBIDVar) - Method in interface elki.database.ids.DoubleDBIDList
Assign a DBID variable the value of position index.
assignVar(int, DBIDVar) - Method in class elki.database.ids.EmptyDBIDs
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.IntegerDBID
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.IntegerDBIDPair
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.IntegerDBIDRange
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.IntegerDBIDVar
 
assignVar(int, DBIDVar) - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
 
assignVar(DBIDRef, DBIDVar) - Method in interface elki.database.datastore.DBIDDataStore
Retrieves an object from the storage.
assignVar(DBIDRef, DBIDVar) - Method in class elki.database.datastore.memory.ArrayDBIDStore
 
assignVar(DBIDRef, DBIDVar) - Method in class elki.database.datastore.memory.MapIntegerDBIDDBIDStore
 
assignVar(DBIDVar, int) - Method in interface elki.database.ids.DBIDFactory
Assign an integer value to a DBID variable.
assignVar(DBIDVar, int) - Method in class elki.database.ids.integer.AbstractIntegerDBIDFactory
 
AssociationRule - Class in elki.itemsetmining.associationrules
Association Rule
AssociationRule(Itemset, Itemset, Itemset, double) - Constructor for class elki.itemsetmining.associationrules.AssociationRule
Constructor.
AssociationRuleGeneration - Class in elki.itemsetmining.associationrules
Association rule generation from frequent itemsets
AssociationRuleGeneration(AbstractFrequentItemsetAlgorithm, InterestingnessMeasure, double) - Constructor for class elki.itemsetmining.associationrules.AssociationRuleGeneration
Constructor
AssociationRuleGeneration(AbstractFrequentItemsetAlgorithm, InterestingnessMeasure, double, double) - Constructor for class elki.itemsetmining.associationrules.AssociationRuleGeneration
Constructor.
AssociationRuleGeneration.Instance - Class in elki.itemsetmining.associationrules
Class to run
AssociationRuleGeneration.ItemsetSearcher - Class in elki.itemsetmining.associationrules
Class to find itemsets in a sorted list.
AssociationRuleGeneration.Par - Class in elki.itemsetmining.associationrules
Parameterization class.
AssociationRuleGeneration.PartialItemset - Class in elki.itemsetmining.associationrules
Mutable scatch itemset for finding itemsets, based on SparseItemset.
AssociationRuleResult - Class in elki.result
Result class for association rule mining
AssociationRuleResult(List<AssociationRule>, VectorFieldTypeInformation<BitVector>) - Constructor for class elki.result.AssociationRuleResult
Constructor.
asStream() - Method in class elki.datasource.bundle.MultipleObjectsBundle
Process this bundle as stream.
assumeVectorField(Relation<V>) - Static method in class elki.database.relation.RelationUtil
Get the vector field type information from a relation.
ATD - elki.application.experiments.VisualizeGeodesicDistances.Mode
Along track distance
atmean - Variable in class elki.utilities.scaling.outlier.OutlierGammaScaling
Score at the mean, for cut-off.
AtomicLongCounter - Class in elki.logging.statistics
Class to count events in a thread-safe counter.
AtomicLongCounter(String) - Constructor for class elki.logging.statistics.AtomicLongCounter
Constructor.
attachPlot(SVGPlot) - Method in class elki.visualization.batikutil.JSVGSynchronizedCanvas
Attach to a new plot, and display.
attachToRelation(Relation<?>, IntArrayList, ArrayList<String>) - Method in class elki.clustering.meta.ExternalClustering
Build a clustering from the file result.
ATTR_ANGLE - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Rotation angle
ATTR_AXIS1 - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
First axis for rotation plane
ATTR_AXIS2 - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Second axis for rotation plane
ATTR_DENSITY - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Density correction factor
ATTR_K - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Gamma k
ATTR_MAX - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Maximum value
ATTR_MEAN - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Mean
ATTR_MIN - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Minimum value
ATTR_NAME - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Cluster nane
ATTR_SEED - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Random seed
ATTR_SIZE - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Cluster size
ATTR_STDDEV - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Standard deviation
ATTR_TEST - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Attribute to control model testing
ATTR_THETA - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Gamma theta
ATTR_VECTOR - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection
Vector
attribute - Variable in class elki.visualization.batikutil.AttributeModifier
The name of the attribute to be modified.
ATTRIBUTE_CONCATENATION - Static variable in class elki.datasource.parser.CSVReaderFormat
A sign to separate attributes.
ATTRIBUTE_SEPARATOR - Static variable in interface elki.data.NumberVector
The String to separate attribute values in a String that represents the values.
AttributeModifier - Class in elki.visualization.batikutil
Runnable wrapper for modifying XML-Attributes.
AttributeModifier(Element, String, String) - Constructor for class elki.visualization.batikutil.AttributeModifier
Trivial constructor.
attributes - Variable in class elki.datasource.parser.NumberVectorLabelParser
Double array storing the numerical attributes during parsing.
AttributeWiseBetaNormalization<V extends NumberVector> - Class in elki.datasource.filter.normalization.columnwise
Project the data using a Beta distribution.
AttributeWiseBetaNormalization(List<? extends DistributionEstimator<?>>, double) - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
Constructor.
AttributeWiseBetaNormalization.Par<V extends NumberVector> - Class in elki.datasource.filter.normalization.columnwise
Parameterization class.
AttributeWiseCDFNormalization<V extends NumberVector> - Class in elki.datasource.filter.normalization.columnwise
Class to perform and undo a normalization on real vectors by estimating the distribution of values along each dimension independently, then rescaling objects to the cumulative density function (CDF) value at the original coordinate.
AttributeWiseCDFNormalization(List<? extends DistributionEstimator<?>>) - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
Constructor.
AttributeWiseCDFNormalization.Par<V extends NumberVector> - Class in elki.datasource.filter.normalization.columnwise
Parameterization class.
AttributeWiseMADNormalization<V extends NumberVector> - Class in elki.datasource.filter.normalization.columnwise
Median Absolute Deviation is used for scaling the data set as follows:
AttributeWiseMADNormalization() - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
Constructor.
AttributeWiseMeanNormalization<V extends NumberVector> - Class in elki.datasource.filter.normalization.columnwise
Normalization designed for data with a meaningful zero:
The 0 is retained, and the data is linearly scaled to have a mean of 1, by projection with f(x) = x / mean(X).
AttributeWiseMeanNormalization() - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
Constructor.
AttributeWiseMeanNormalization(double[]) - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
Constructor.
AttributeWiseMinMaxNormalization<V extends NumberVector> - Class in elki.datasource.filter.normalization.columnwise
Class to perform and undo a normalization on real vectors with respect to a given minimum and maximum in each dimension.
AttributeWiseMinMaxNormalization() - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
Constructor.
AttributeWiseMinMaxNormalization(double[], double[]) - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
Constructor.
AttributeWiseMinMaxNormalization.Par<V extends NumberVector> - Class in elki.datasource.filter.normalization.columnwise
Parameterization class.
AttributeWiseVarianceNormalization<V extends NumberVector> - Class in elki.datasource.filter.normalization.columnwise
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 elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
Constructor.
AttributeWiseVarianceNormalization(double[], double[]) - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
Constructor.
AttributeWiseVarianceNormalization.Par<V extends NumberVector> - Class in elki.datasource.filter.normalization.columnwise
Parameterization class.
auc - Variable in class elki.evaluation.outlier.OutlierSmROCCurve.SmROCResult
AUC score
auc - Variable in class elki.evaluation.scores.AUPRCEvaluation.PRCurve
Area under the curve cache.
auc - Variable in class elki.evaluation.scores.PRGCEvaluation.PRGCurve
Area under the curve cache.
auc - Variable in class elki.evaluation.scores.ROCEvaluation.ROCurve
Area under the curve cache.
AUPRCEvaluation - Class in elki.evaluation.scores
Compute the area under the precision-recall curve (AUPRC).
AUPRCEvaluation() - Constructor for class elki.evaluation.scores.AUPRCEvaluation
 
AUPRCEvaluation.Par - Class in elki.evaluation.scores
Parameterization class.
AUPRCEvaluation.PRCurve - Class in elki.evaluation.scores
ROC Curve
AUPRGC_LABEL - Static variable in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve
AUC Label for PRG Curve.
auroc - Variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance.RetrievalPerformanceResult
AUROC value
AUROC_LABEL - Static variable in class elki.evaluation.outlier.OutlierROCCurve
The label we use for marking AUROC values.
authors() - Method in annotation type elki.utilities.documentation.Reference
Publication authors.
autoEvaluateClusterings(Object) - Method in class elki.evaluation.AutomaticEvaluation
Automatically evaluate clustering results.
autoEvaluateOutliers(Object) - Method in class elki.evaluation.AutomaticEvaluation
Automatically evaluate outlier results.
AUTOMAGIC_FORMAT - Static variable in class elki.visualization.savedialog.SVGSaveDialog
Automagic file format
AutomaticEvaluation - Class in elki.evaluation
Evaluator that tries to auto-run a number of evaluation methods.
AutomaticEvaluation() - Constructor for class elki.evaluation.AutomaticEvaluation
 
AutomaticEvaluation.Par - Class in elki.evaluation
Parameterization class
AutomaticVisualization - Class in elki.result
Handler to process and visualize a Result.
AutomaticVisualization(String, VisualizerParameterizer, boolean) - Constructor for class elki.result.AutomaticVisualization
Constructor.
AutomaticVisualization.Par - Class in elki.result
Parameterization class.
autoopen - Variable in class elki.result.KMLOutputHandler
Automatically open at the end
autoopen - Variable in class elki.result.KMLOutputHandler.Par
Automatically open at the end
AUTOOPEN_ID - Static variable in class elki.result.KMLOutputHandler.Par
Parameter for automatically opening the output file.
autorun(Algorithm, Database) - Static method in class elki.Algorithm.Utils
Try to auto-run the algorithm on a database by calling a method called run, with an optional Database first, and with data relations as specified by Algorithm.getInputTypeRestriction().
autorun(Database) - Method in interface elki.Algorithm
Try to auto-run the algorithm on a database by calling a method called run, with an optional Database first, and with data relations as specified by Algorithm.getInputTypeRestriction().
autorun(Database) - Method in class elki.algorithm.KNNJoin
 
autorun(Database) - Method in class elki.algorithm.NullAlgorithm
 
autorun(Database) - Method in class elki.classification.AbstractClassifier
Deprecated.
autorun(Database) - Method in interface elki.clustering.ClusteringAlgorithm
 
autorun(Database) - Method in class elki.clustering.dbscan.GeneralizedDBSCAN
 
autorun(Database) - Method in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN
 
autorun(Database) - Method in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction
 
autorun(Database) - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction
 
autorun(Database) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction
 
autorun(Database) - Method in interface elki.clustering.hierarchical.HierarchicalClusteringAlgorithm
 
autorun(Database) - Method in class elki.clustering.hierarchical.OPTICSToHierarchical
 
autorun(Database) - Method in class elki.clustering.meta.ExternalClustering
Run the algorithm.
autorun(Database) - Method in interface elki.clustering.optics.OPTICSTypeAlgorithm
 
autorun(Database) - Method in class elki.clustering.optics.OPTICSXi
 
autorun(Database) - Method in class elki.clustering.trivial.ByLabelClustering
 
autorun(Database) - Method in class elki.clustering.trivial.ByLabelHierarchicalClustering
 
autorun(Database) - Method in class elki.clustering.trivial.ByLabelOrAllInOneClustering
 
autorun(Database) - Method in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm
 
autorun(Database) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration
Run on a database
autorun(Database) - Method in class elki.outlier.clustering.KMeansMinusMinusOutlierDetection
 
autorun(Database) - Method in class elki.outlier.clustering.NoiseAsOutliers
 
autorun(Database) - Method in class elki.outlier.clustering.SilhouetteOutlierDetection
Run the Silhouette score as outlier method.
autorun(Database) - Method in class elki.outlier.meta.RescaleMetaOutlierAlgorithm
 
autorun(Database) - Method in class elki.outlier.meta.SimpleOutlierEnsemble
 
autorun(Database) - Method in interface elki.outlier.OutlierAlgorithm
 
autorun(Database) - Method in class elki.outlier.subspace.OutRankS1
 
autorun(Database) - Method in class elki.outlier.trivial.ByLabelOutlier
 
autorun(Database) - Method in class elki.outlier.trivial.TrivialGeneratedOutlier
 
autorun(Database) - Method in class elki.projection.SNE
 
autorun(Database) - Method in class elki.projection.TSNE
 
AutotuningPCA - Class in elki.math.linearalgebra.pca
Performs a self-tuning local PCA based on the covariance matrices of given objects.
AutotuningPCA(CovarianceMatrixBuilder, EigenPairFilter) - Constructor for class elki.math.linearalgebra.pca.AutotuningPCA
Constructor.
AutotuningPCA.Cand - Class in elki.math.linearalgebra.pca
Candidate
AutotuningPCA.Par - Class in elki.math.linearalgebra.pca
Parameterization class.
AverageInterclusterDistance - Class in elki.clustering.hierarchical.birch
Average intercluster distance.
AverageInterclusterDistance - Class in elki.index.tree.betula.distance
Average intercluster distance.
AverageInterclusterDistance() - Constructor for class elki.clustering.hierarchical.birch.AverageInterclusterDistance
 
AverageInterclusterDistance() - Constructor for class elki.index.tree.betula.distance.AverageInterclusterDistance
 
AverageInterclusterDistance.Par - Class in elki.clustering.hierarchical.birch
Parameterization class.
AverageInterclusterDistance.Par - Class in elki.index.tree.betula.distance
Parameterization class.
AverageIntraclusterDistance - Class in elki.clustering.hierarchical.birch
Average intracluster distance.
AverageIntraclusterDistance - Class in elki.index.tree.betula.distance
Average intracluster distance.
AverageIntraclusterDistance() - Constructor for class elki.clustering.hierarchical.birch.AverageIntraclusterDistance
 
AverageIntraclusterDistance() - Constructor for class elki.index.tree.betula.distance.AverageIntraclusterDistance
 
AverageIntraclusterDistance.Par - Class in elki.clustering.hierarchical.birch
Parameterization class.
AverageIntraclusterDistance.Par - Class in elki.index.tree.betula.distance
Parameterization class.
AveragePrecisionAtK<O> - Class in elki.algorithm.statistics
Evaluate a distance functions performance by computing the average precision at k, when ranking the objects by distance.
AveragePrecisionAtK(Distance<? super O>, int, double, RandomFactory, boolean) - Constructor for class elki.algorithm.statistics.AveragePrecisionAtK
Constructor.
AveragePrecisionEvaluation - Class in elki.evaluation.scores
Evaluate using average precision.
AveragePrecisionEvaluation() - Constructor for class elki.evaluation.scores.AveragePrecisionEvaluation
 
AveragePrecisionEvaluation.Par - Class in elki.evaluation.scores
Parameterization class.
averageSymmetricGini() - Method in class elki.evaluation.clustering.ClusterContingencyTable
Compute the average Gini for each cluster (in both clusterings - symmetric).
avgDistance(double[], DBIDs, Relation<? extends NumberVector>, int) - Method in class elki.clustering.subspace.PROCLUS
Computes the average distance of the objects to the centroid along the specified dimension.
axes - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster
The distribution generators for each axis
axes - Variable in class elki.visualization.parallel3d.Parallel3DRenderer
Axes sorting array.
axis - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.PrioritySearchBranch
Next splitting axis
axis - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.PrioritySearchBranch
Next splitting axis
AXIS - Static variable in interface elki.visualization.style.StyleLibrary
Axis
AXIS_LABEL - Static variable in interface elki.visualization.style.StyleLibrary
Axis label
AXIS_LABEL - Static variable in class elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
Axis label class.
AXIS_TICK - Static variable in interface elki.visualization.style.StyleLibrary
Axis tick
AXIS_TICK_MINOR - Static variable in interface elki.visualization.style.StyleLibrary
Axis minor tick
AxisBasedReferencePoints - Class in elki.utilities.referencepoints
Strategy to pick reference points by placing them on the axis ends.
AxisBasedReferencePoints(double) - Constructor for class elki.utilities.referencepoints.AxisBasedReferencePoints
Constructor.
AxisBasedReferencePoints.Par - Class in elki.utilities.referencepoints
Parameterization class.
axisProjection(int, int, int) - Static method in class elki.visualization.projections.AffineProjection
Compute an transformation matrix to show only axis ax1 and ax2.
AxisReorderVisualization - Class in elki.visualization.visualizers.parallel
Interactive SVG-Elements for reordering the axes.
AxisReorderVisualization() - Constructor for class elki.visualization.visualizers.parallel.AxisReorderVisualization
Constructor, adhering to
AxisReorderVisualization.Instance - Class in elki.visualization.visualizers.parallel
Instance for a particular plot.
AxisVisibilityVisualization - Class in elki.visualization.visualizers.parallel
Layer for controlling axis visbility in parallel coordinates.
AxisVisibilityVisualization() - Constructor for class elki.visualization.visualizers.parallel.AxisVisibilityVisualization
Constructor, adhering to
AxisVisibilityVisualization.Instance - Class in elki.visualization.visualizers.parallel
Instance for a particular data set.
AxisVisualization - Class in elki.visualization.visualizers.scatterplot
Generates a SVG-Element containing axes, including labeling.
AxisVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.AxisVisualization
Constructor.
AxisVisualization.Instance - Class in elki.visualization.visualizers.scatterplot
Instance.
axsep - Variable in class elki.visualization.visualizers.parallel.AbstractParallelVisualization
Space between two axes
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