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

A

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

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

ABOD(int, int, PrimitiveSimilarityFunction<? super V, DoubleDistance>, DistanceFunction<V, DoubleDistance>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

Actual constructor, with parameters.

ABOD(int, PrimitiveSimilarityFunction<? super V, DoubleDistance>, DistanceFunction<V, DoubleDistance>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

Actual constructor, with parameters.

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

Parameterization class.

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

AbortException - Exception in de.lmu.ifi.dbs.elki.utilities.exceptions

Exception for aborting some process and transporting a message.

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

Exception for aborting some process and transporting a message.

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

Exception for aborting some process and transporting a message.

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

Indicates whether delta is an absolute or a relative value.

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

Indicates whether delta is an absolute or a relative value.

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

Abstract base class for the sparse-grid-cell based outlier detection of Aggarwal and Yu.

AbstractAggarwalYuOutlier(int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier

Constructor.

AbstractAggarwalYuOutlier.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

Parameterization class.

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

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

This class serves also as a model of implementing an algorithm within this framework.

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

Constructor.

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

AbstractApplication sets the values for flags verbose and help.

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

Constructor.

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

Parameterization class.

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

AbstractBulkSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.bulk

Encapsulates the required parameters for a bulk split of a spatial index.

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

Constructor

AbstractComputeColorHistogram - Class in de.lmu.ifi.dbs.elki.data.images

Abstract class for color histogram computation.

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

AbstractConversionFilter<I,O> - Class in de.lmu.ifi.dbs.elki.datasource.filter

Abstract base class for simple conversion filters such as normalizations and projections.

AbstractConversionFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter

AbstractCosineDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Abstract base class for Cosine and ArcCosine distances.

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

Constructor.

AbstractCovarianceMatrixBuilder<V extends NumberVector<? extends V,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

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

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

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

Abstract base class for database API implementations.

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

Constructor.

AbstractDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource

Abstract super class for all database connections.

AbstractDatabaseConnection(List<ObjectFilter>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection

Constructor.

AbstractDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource

Parameterization class.

AbstractDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer

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

Abstract super class for distance functions needing a database context.

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

Constructor, supporting Parameterizable style classes.

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

The actual instance bound to a particular database.

AbstractDatabaseDistanceFunction.Instance(Relation<O>, DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction.Instance

Constructor.

AbstractDatabaseDistanceQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.distance

Run a database query in a database context.

AbstractDatabaseDistanceQuery(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery

Constructor.

AbstractDataBasedQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query

Abstract query bound to a certain representation.

AbstractDataBasedQuery(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery

Database this query works on.

AbstractDBIDDistanceFunction<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

AbstractDistanceFunction provides some methods valid for any extending class.

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

Provides an abstract DistanceFunction.

AbstractDBIDSimilarityFunction<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

Abstract super class for distance functions needing a preprocessor.

AbstractDBIDSimilarityFunction(Relation<? extends DBID>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractDBIDSimilarityFunction

Constructor.

AbstractDBIDSimilarityQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.similarity

Run a database query in a database context.

AbstractDBIDSimilarityQuery(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractDBIDSimilarityQuery

Constructor.

AbstractDBOutlier<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

Simple distance based outlier detection algorithms.

AbstractDBOutlier(DistanceFunction<? super O, D>, D) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier

Constructor with actual parameters.

AbstractDBOutlier.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

Parameterization class.

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

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

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

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

Constructor.

AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Parameterization class.

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

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

Abstract superclass for entries in an tree based index structure.

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

Empty constructor for serialization purposes.

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

Provides a new AbstractEntry with the specified id.

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

An abstract distance implements equals conveniently for any extending class.

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

AbstractDistanceBasedAlgorithm<O,D extends Distance<D>,R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm

Provides an abstract algorithm already setting the distance function.

AbstractDistanceBasedAlgorithm(DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm

Constructor.

AbstractDistanceBasedAlgorithm.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm

Parameterization helper class.

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

AbstractDistanceBasedSpatialOutlier<N,O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Abstract base class for distance-based spatial outlier detection methods.

AbstractDistanceBasedSpatialOutlier(NeighborSetPredicate.Factory<N>, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier

Constructor.

AbstractDistanceBasedSpatialOutlier.Parameterizer<N,O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Parameterization class.

AbstractDistanceBasedSpatialOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier.Parameterizer

AbstractDistanceKNNQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.knn

Instance for the query on a particular database.

AbstractDistanceKNNQuery(DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.AbstractDistanceKNNQuery

Constructor.

AbstractDistanceQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.distance

A distance query serves as adapter layer for database and primitive distances.

AbstractDistanceQuery(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery

Constructor.

AbstractDistanceRangeQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.range

Abstract base class for range queries that use a distance query in their instance

AbstractDistanceRangeQuery(DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.range.AbstractDistanceRangeQuery

Constructor.

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

Provides the Edit Distance for FeatureVectors.

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

Constructor.

AbstractEditDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

Parameterization class.

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

AbstractFeatureSelectionFilter<V extends FeatureVector<?,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter

A ProjectionParser projects the objects of its base parser onto a subspace specified by a BitSet.

AbstractFeatureSelectionFilter(BitSet) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractFeatureSelectionFilter

Constructor.

AbstractFeatureSelectionFilter.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter

Parameterization class.

AbstractFeatureSelectionFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractFeatureSelectionFilter.Parameterizer

AbstractFilteredIterator<IN,OUT extends IN> - Class in de.lmu.ifi.dbs.elki.utilities.iterator

Abstract class to build filtered views on Iterables.

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

Constructor.

AbstractFilteredPCAIndex<NV extends NumberVector<? extends NV,?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca

Abstract base class for a local PCA based index.

AbstractFilteredPCAIndex(Relation<NV>, PCAFilteredRunner<NV>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex

Constructor.

AbstractFilteredPCAIndex.Factory<NV extends NumberVector<NV,?>,I extends AbstractFilteredPCAIndex<NV>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca

Factory class

AbstractFilteredPCAIndex.Factory(DistanceFunction<NV, DoubleDistance>, PCAFilteredRunner<NV>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory

Constructor.

AbstractFilteredPCAIndex.Factory.Parameterizer<NV extends NumberVector<NV,?>,I extends AbstractFilteredPCAIndex<NV>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca

Parameterization class.

AbstractFilteredPCAIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory.Parameterizer

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

Abstract class for a result object with hierarchy

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

Constructor.

AbstractIndex<O> - Class in de.lmu.ifi.dbs.elki.index

Abstract base class for indexes with some implementation defaults.

AbstractIndex(Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.AbstractIndex

Constructor.

AbstractIndexBasedDistanceFunction<O,I extends Index,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Abstract super class for distance functions needing a database index.

AbstractIndexBasedDistanceFunction(IndexFactory<O, I>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction

Constructor.

AbstractIndexBasedDistanceFunction.Instance<O,I extends Index,D extends Distance<D>,F extends DistanceFunction<? super O,D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

The actual instance bound to a particular database.

AbstractIndexBasedDistanceFunction.Instance(Relation<O>, I, F) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance

Constructor.

AbstractIndexBasedDistanceFunction.Parameterizer<F extends IndexFactory<?,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Parameterization class.

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

AbstractIndexBasedSimilarityFunction<O,I extends Index,R,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

Abstract super class for distance functions needing a preprocessor.

AbstractIndexBasedSimilarityFunction(IndexFactory<O, I>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction

Constructor.

AbstractIndexBasedSimilarityFunction.Instance<O,I extends Index,R,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

The actual instance bound to a particular database.

AbstractIndexBasedSimilarityFunction.Instance(Relation<O>, I) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Instance

Constructor.

AbstractIndexBasedSimilarityFunction.Parameterizer<F extends IndexFactory<?,?>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

Parameterization class.

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

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

Abstract superclass for entries in an tree based index structure.

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

Empty constructor for serialization purposes.

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

Provides a new AbstractEntry with the specified id.

AbstractMaterializeKNNPreprocessor<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Abstract base class for KNN Preprocessors.

AbstractMaterializeKNNPreprocessor(Relation<O>, DistanceFunction<? super O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor

Constructor.

AbstractMaterializeKNNPreprocessor.Factory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

The parameterizable factory.

AbstractMaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory

Index factory.

AbstractMaterializeKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Parameterization class.

AbstractMaterializeKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory.Parameterizer

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

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

AbstractMkTree(PageFile<N>, DistanceQuery<O, D>, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree

Constructor.

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

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

AbstractMkTreeUnified(PageFile<N>, DistanceQuery<O, D>, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnified

Constructor.

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

Abstract factory for various Mk-Trees

AbstractMkTreeUnifiedFactory(String, int, long, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory

Constructor.

AbstractMkTreeUnifiedFactory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Parameterization class.

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

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

Abstract super class for all M-Tree variants.

AbstractMTree(PageFile<N>, DistanceQuery<O, D>, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Constructor.

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

Encapsulates a split object and the newly created node.

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

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

Abstract factory for various MTrees

AbstractMTreeFactory(String, int, long, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory

Constructor.

AbstractMTreeFactory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Parameterization class.

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

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

Abstract super class for nodes in M-Tree variants.

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

Empty constructor for Externalizable interface.

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

Creates a new MTreeNode with the specified parameters.

AbstractNeighborhoodOutlier<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Abstract base class for spatial outlier detection methods using a spatial neighborhood.

AbstractNeighborhoodOutlier(NeighborSetPredicate.Factory<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier

Constructor

AbstractNeighborhoodOutlier.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Parameterization class.

AbstractNeighborhoodOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier.Parameterizer

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

Abstract superclass for nodes in an tree based index structure.

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

Empty constructor for Externalizable interface.

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

Creates a new Node with the specified parameters.

AbstractNormalization<O> - Class in de.lmu.ifi.dbs.elki.datasource.filter

Abstract super class for all normalizations.

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

Initializes the option handler and the parameter map.

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

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

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

Creates an abstract number constraint.

AbstractNumberVector<V extends AbstractNumberVector<? extends V,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.data

AbstractNumberVector is an abstract implementation of FeatureVector.

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

AbstractOPTICSVisualization<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics

Abstract base class for OPTICS visualizer

AbstractOPTICSVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.AbstractOPTICSVisualization

Constructor.

AbstractPage - Class in de.lmu.ifi.dbs.elki.persistent

Abstract superclass for pages.

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

Empty constructor for Externalizable interface.

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

Constructor.

AbstractParameterConfigurator<T extends Parameter<?,?>> - Class in de.lmu.ifi.dbs.elki.gui.configurator

Abstract class to produce a configurator for a particular parameter.

AbstractParameterConfigurator(T, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator

Constructor.

AbstractParameterization - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization

Abstract class with shared code for parameterization handling.

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

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

Abstract base class that handles the parameterization of a class.

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

AbstractParser - Class in de.lmu.ifi.dbs.elki.datasource.parser

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

AbstractParser(Pattern, char) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser

Constructor.

AbstractParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parameterization class.

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

AbstractPrecomputedNeighborhood - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Abstract base class for precomputed neighborhoods.

AbstractPrecomputedNeighborhood(DataStore<DBIDs>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood

Constructor.

AbstractPrecomputedNeighborhood.Factory<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Factory class.

AbstractPrecomputedNeighborhood.Factory() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood.Factory

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

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

AbstractPreferenceVectorBasedCorrelationDistanceFunction(IndexFactory<V, P>, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction

Constructor.

AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance<V extends NumberVector<?,?>,P extends PreferenceVectorIndex<V>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Instance to compute the distances on an actual database.

AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance(Relation<V>, P, double, AbstractPreferenceVectorBasedCorrelationDistanceFunction<? super V, ?>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance

Constructor.

AbstractPreferenceVectorBasedCorrelationDistanceFunction.Parameterizer<F extends IndexFactory<?,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Parameterization class.

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

AbstractPreferenceVectorIndex<NV extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference

Abstract base class for preference vector based algorithms.

AbstractPreferenceVectorIndex(Relation<NV>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex

Constructor.

AbstractPreferenceVectorIndex.Factory<V extends NumberVector<?,?>,I extends PreferenceVectorIndex<V>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference

Factory class

AbstractPreferenceVectorIndex.Factory() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex.Factory

AbstractPreprocessorIndex<O,R> - Class in de.lmu.ifi.dbs.elki.index.preprocessed

Abstract base class for simple preprocessor based indexes, requiring a simple object storage for preprocessing results.

AbstractPreprocessorIndex(Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.AbstractPreprocessorIndex

Constructor.

AbstractPrimitiveDistanceBasedAlgorithm<O,D extends Distance<D>,R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm

Provides an abstract algorithm already setting the distance function.

AbstractPrimitiveDistanceBasedAlgorithm(PrimitiveDistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm

Constructor.

AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm

Parameterization helper class.

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

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

AbstractDistanceFunction provides some methods valid for any extending class.

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

Provides an abstract DistanceFunction.

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

Base implementation of a similarity function.

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

Constructor.

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

Abstract base class for FiniteProgress objects.

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

Default constructor.

AbstractProjectedClustering<R extends Clustering<Model>,V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Abstract superclass for projected clustering algorithms, like PROCLUS and ORCLUS.

AbstractProjectedClustering(int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering

Internal constructor.

AbstractProjectedClustering.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Parameterization class.

AbstractProjectedClustering.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering.Parameterizer

AbstractProjectedDBSCAN<R extends Clustering<Model>,V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Provides an abstract algorithm requiring a VarianceAnalysisPreprocessor.

AbstractProjectedDBSCAN(DoubleDistance, int, LocallyWeightedDistanceFunction<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN

Constructor.

AbstractProjectedDBSCAN.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Parameterization class.

AbstractProjectedDBSCAN.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN.Parameterizer

AbstractProjection - Class in de.lmu.ifi.dbs.elki.visualization.projections

Abstract base projection class.

AbstractProjection(LinearScale[]) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection

Constructor.

AbstractRandomFeatureSelectionFilter<V extends FeatureVector<?,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter

A RandomProjectionParser selects a subset of attributes randomly for projection of a ParsingResult.

AbstractRandomFeatureSelectionFilter(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractRandomFeatureSelectionFilter

Constructor.

AbstractRandomFeatureSelectionFilter.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter

Parameterization class.

AbstractRandomFeatureSelectionFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractRandomFeatureSelectionFilter.Parameterizer

AbstractRKNNQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.rknn

Instance for the query on a particular database.

AbstractRKNNQuery(DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.AbstractRKNNQuery

Constructor.

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

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

AbstractRStarTree(PageFile<N>, BulkSplit, InsertionStrategy) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Constructor

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

Abstract factory for R*-Tree based trees.

AbstractRStarTreeFactory(String, int, long, BulkSplit, InsertionStrategy) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory

Constructor.

AbstractRStarTreeFactory.Parameterizer<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants

Parameterization class.

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

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

Abstract superclass for nodes in a R*-Tree.

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

Empty constructor for Externalizable interface.

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

Creates a new AbstractRStarTreeNode with the specified parameters.

AbstractSimilarityAdapter<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

Adapter from a normalized similarity function to a distance function.

AbstractSimilarityAdapter(NormalizedSimilarityFunction<? super O, ? extends NumberDistance<?, ?>>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter

Constructor.

AbstractSimilarityAdapter.Instance<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

Inner proxy class for SNN distance function.

AbstractSimilarityAdapter.Instance(Relation<O>, DistanceFunction<? super O, DoubleDistance>, SimilarityQuery<? super O, ? extends NumberDistance<?, ?>>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance

Constructor.

AbstractSimilarityAdapter.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

Parameterization class.

AbstractSimilarityAdapter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Parameterizer

AbstractSimilarityQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.similarity

A distance query serves as adapter layer for database and primitive similarity functions.

AbstractSimilarityQuery(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractSimilarityQuery

Constructor.

AbstractSimpleProjection - Class in de.lmu.ifi.dbs.elki.visualization.projections

Abstract base class for "simple" projections.

AbstractSimpleProjection(LinearScale[]) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection

Constructor.

AbstractSingleParameterConfigurator<T extends Parameter<?,?>> - Class in de.lmu.ifi.dbs.elki.gui.configurator

AbstractSingleParameterConfigurator(T, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.AbstractSingleParameterConfigurator

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

Abstract class implementing general methods of a PageFile.

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

Creates a new PageFile.

AbstractSubspaceProjectionIndex<NV extends NumberVector<?,?>,D extends Distance<D>,P extends ProjectionResult> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj

Abstract base class for a local PCA based index.

AbstractSubspaceProjectionIndex(Relation<NV>, D, DistanceFunction<NV, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex

Constructor.

AbstractSubspaceProjectionIndex.Factory<NV extends NumberVector<?,?>,D extends Distance<D>,I extends AbstractSubspaceProjectionIndex<NV,D,?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj

Factory class

AbstractSubspaceProjectionIndex.Factory(D, DistanceFunction<NV, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory

Constructor.

AbstractSubspaceProjectionIndex.Factory.Parameterizer<NV extends NumberVector<?,?>,D extends Distance<D>,C> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj

Parameterization class.

AbstractSubspaceProjectionIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory.Parameterizer

AbstractTooltipVisualization<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d

General base class for a tooltip visualizer.

AbstractTooltipVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AbstractTooltipVisualization

AbstractVectorDoubleDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Abstract base class for the most common family of distance functions: defined on number vectors and returning double values.

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

Constructor.

AbstractVisFactory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers

Abstract superclass for Visualizers (aka: Visualization Factories).

AbstractVisFactory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory

Constructor.

AbstractVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers

Abstract base class for visualizations.

AbstractVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization

Constructor.

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

Returns the absolute value of this rational number.

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

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

Collects all insertion, deletion and update events until Database.flushDataStoreEvents() is called.

accumulateDataStoreEvents - Variable in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager

Indicates whether DataStoreEvents should be accumulated and fired as one event on demand.

accumulateDataStoreEvents() - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager

Collects successive insertion, deletion or update events.

actionListeners - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

Action listeners for this plot.

actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator

Callback to show the popup menu

actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator

actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.EnumParameterConfigurator

actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.FileParameterConfigurator

Button callback to show the file selector

actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.FlagParameterConfigurator

actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.TextParameterConfigurator

actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor

Callback to show the popup menu

actionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor

Button callback to show the file selector

activate() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer

activate() - Method in interface de.lmu.ifi.dbs.elki.visualization.svg.UpdateSynchronizer

This method is called whenever a new pending event was added.

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

Last ratio of the Canvas applied

actualMaximum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta

Store the actual maximum

actualMaximum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore

Actual maximum seen, if given by the algorithm.

actualMinimum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta

Store the actual minimum

actualMinimum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore

Actual minimum seen, if given by the algorithm.

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

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

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

Returns a copy of the adapted strong eigenvectors.

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

Returns the adapted coefficient of determination

add(DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs

add(DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MergedDBIDs

add(Vector) - Method in class de.lmu.ifi.dbs.elki.math.ConvexHull2D

Add a single point to the list (this does not compute the hull!)

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

Add an object to the cluster order.

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

Add an object to the cluster order.

add(Result, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy

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

Add a single value to the given key.

add(D, DBID) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNHeap

Add a distance-id pair to the heap unless the distance is too large.

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

add(int, DistanceResultPair<D>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList

add(O, O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList

add(O, O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.ModifiableHierarchy

Add a parent-child relationship.

add(E) - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.ReverseListIterator

add(T) - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.UnmodifiableListIterator

add(T) - Method in class de.lmu.ifi.dbs.elki.utilities.Util.MaskedArrayList

addActionListener(ActionListener) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

Adds an ActionListener to the plot.

addAll(Collection<? extends DBID>) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MergedDBIDs

addAll(Collection<? extends DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList

addAll(int, Collection<? extends DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList

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

Add a reflection along the given axis.

addBackground(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView

Create a background node.

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

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

addChangeListener(ChangeListener) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator

addChangeListener(ChangeListener) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel

addChangeListener(ChangeListener) - Method in interface de.lmu.ifi.dbs.elki.gui.configurator.ParameterConfigurator

addChildResult(Result) - Method in class de.lmu.ifi.dbs.elki.result.AbstractHierarchicalResult

Add a child result.

addChildResult(HierarchicalResult, Result) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil

Add a child result.

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

Add a single class to the map.

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

Add a cluster to the clustering.

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

Add a cluster to the cluster list.

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

Add an additional constraint.

addContextChangeListener(ContextChangeListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Add a context change listener.

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

Add a CSS class to the event target.

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

Constructor

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

Add a CSS class to an Element.

addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization

Adds the required CSS-Classes

addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization

Adds the required CSS-Classes

addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization

Adds the required CSS-Classes

addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization

Adds the required CSS-Classes

addCSSClasses(SVGPlot, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterConvexHullVisualization

Adds the required CSS-Classes

addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterMeanVisualization

Adds the required CSS-Classes

addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization

Adds the required CSS-Classes

addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.MoveObjectsToolVisualization

Adds the required CSS-Classes

addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionConvexHullVisualization

Adds the required CSS-Classes

addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionCubeVisualization

Adds the required CSS-Classes

addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionDotVisualization

Adds the required CSS-Classes

addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolCubeVisualization

Adds the required CSS-Classes

addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolDotVisualization

Adds the required CSS-Classes

addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ToolBox2DVisualization

Adds the required CSS-Classes

addCSSClassOrLogError(CSSClass) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Convenience method to add a CSS class or log an error.

addDataStoreListener(DataStoreListener) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

addDataStoreListener(DataStoreListener) - Method in interface de.lmu.ifi.dbs.elki.database.Database

Adds a listener for the DataStoreEvent posted after the content of the database changes.

addDataStoreListener(DataStoreListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Adds a listener for the DataStoreEvent posted after the content changes.

addDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericArrayModifiableDBIDs

addDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericHashSetModifiableDBIDs

addDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericTreeSetModifiableDBIDs

addDBIDs(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs

Add DBIDs to collection.

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

Adds the specified dense unit to this subspace.

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

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

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

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

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

Indicate that points were discarded.

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

Increase number of discarded points

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

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

addEventListener(Element, VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ToolBox2DVisualization

Add an event listener to the Element

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

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

addFlag(OptionID) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization

Add a flag to the parameter list

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

Add a new generator to the cluster.

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

Add a handler to the root logger.

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

Add header information

addIndex(Index) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

addIndex(Index) - Method in interface de.lmu.ifi.dbs.elki.database.Database

Add a new index to the database.

addIndex(Index) - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase

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

Returns the additive inverse of this RationalNumber.

addKNNListener(KNNListener) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor

Adds a KNNListener which will be invoked when the kNNs of objects are changing.

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

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

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

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

addListener(DataStoreListener) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager

Adds a DataStoreListener for a DataStoreEvent posted after the content of the database changes.

addListener(ResultListener) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager

Adds a ResultListener to be notified on new results.

addMarker() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization

Add marker for the selected IDs to mtag

addMarkerRect(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization

Create a rectangle as marker (Marker higher than plot!)

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

Add a matrix operation to the matrix.

addNewRelation(SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase

Add a new representation for the given meta.

addNewRelation(SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase

Add a new representation for the given meta.

addObserver(Observer<? super ParameterTabPanel>) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

addObserver(Observer<? super T>) - Method in interface de.lmu.ifi.dbs.elki.utilities.designpattern.Observable

Add an observer to the object.

addObserver(Observer<? super T>) - Method in class de.lmu.ifi.dbs.elki.utilities.designpattern.Observers

Add an observer to the object.

addPanels(JTabbedPane) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI

addParameter(Object, Parameter<?, ?>, TrackParameters) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator

addParameter(Object, Parameter<?, ?>, TrackParameters) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator

addParameter(Object, Parameter<?, ?>, TrackParameters) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator

addParameter(Object, Parameter<?, ?>, TrackParameters) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel

Add parameter to this panel.

addParameter(Object, Parameter<?, ?>, TrackParameters) - Method in interface de.lmu.ifi.dbs.elki.gui.configurator.ParameterConfigurator

addParameter(Parameter<?, ?>, String, BitSet, int) - Method in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters

Add a single parameter to the list

addParameter(OptionID, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization

Add a parameter to the parameter list

addProgress(Progress) - Method in class de.lmu.ifi.dbs.elki.logging.progress.ProgressTracker

Add a new Progress to the tracker.

addProgressBar(JProgressBar) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel

Add a new progress bar.

addQuotedString(Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Add a string in quotes.

addRelation(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.database.ProxyDatabase

Add a new representation.

addResultListener(ResultListener) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy

Register a result listener.

addResultListener(ResultListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Register a result listener.

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

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

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

Apply a rotation to the generator

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

Convenience function to apply a rotation in 2 dimensions.

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

Simple linear (symmetric) scaling.

addSeparator() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Add a separator

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

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

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

Add a translation to the generator

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

Add a translation operation to the matrix

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

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

addUpdateRunner(UpdateRunner) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer

addUpdateRunner(UpdateRunner) - Method in interface de.lmu.ifi.dbs.elki.visualization.svg.UpdateSynchronizer

Set an update runner to use.

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

Holds the value of CASH.ADJUST_ID.

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

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

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

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

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

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

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

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

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

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

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

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

Adjusts the parameters of the entry representing this node.

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

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

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

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

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

Adjusts the parameters of the entry representing this node.

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

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

Adjusts the parameters of the entry representing this node.

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

Adjusts the tree after insertion of some nodes.

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

Adjusts the tree after insertion of some nodes.

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

Advance iterator and return next pair.

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

Advance iterator and return new pair.

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

Advance iterator

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

Main advance method.

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

The affine distance.

AffineProjection - Class in de.lmu.ifi.dbs.elki.visualization.projections

Affine projections are the most general class.

AffineProjection(LinearScale[], AffineTransformation) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection

Constructor with a given database and axes.

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

Affine transformations implemented using homogeneous coordinates.

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

Constructor for an identity transformation.

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

Trivial constructor with all fields, mostly for cloning

Afinal - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction

Sigmoid parameter

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

EAFOD provides the evolutionary outlier detection algorithm, an algorithm to detect outliers for high dimensional data.

AggarwalYuEvolutionary(int, int, int, Long) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary

Constructor.

AggarwalYuEvolutionary.EvolutionarySearch - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

The inner class to handle the actual evolutionary computation.

AggarwalYuEvolutionary.EvolutionarySearch(Relation<V>, ArrayList<ArrayList<DBIDs>>, int, Long) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch

Constructor.

AggarwalYuEvolutionary.Individuum - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

Individuum for the evolutionary search.

AggarwalYuEvolutionary.Individuum(double, int[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Individuum

Constructor

AggarwalYuEvolutionary.Parameterizer<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

Parameterization class.

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

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

BruteForce provides a naive brute force algorithm in which all k-subsets of dimensions are examined and calculates the sparsity coefficient to find outliers.

AggarwalYuNaive(int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuNaive

Constructor.

AggarwalYuNaive.Parameterizer<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

Parameterization class.

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

aggregate(T, D) - Method in class de.lmu.ifi.dbs.elki.math.AggregatingHistogram.Adapter

Update an existing histogram value with new data.

aggregate(double, D) - Method in class de.lmu.ifi.dbs.elki.math.AggregatingHistogram

Add a value to the histogram using the aggregation adapter.

aggregate(double, D) - Method in class de.lmu.ifi.dbs.elki.math.FlexiHistogram

AggregatingHistogram<T,D> - Class in de.lmu.ifi.dbs.elki.math

Class for the typical case of an aggregating (e.g. counting, averaging) Histogram.

AggregatingHistogram(int, double, double, AggregatingHistogram.Adapter<T, D>) - Constructor for class de.lmu.ifi.dbs.elki.math.AggregatingHistogram

Constructor with Adapter.

AggregatingHistogram.Adapter<T,D> - Class in de.lmu.ifi.dbs.elki.math

Adapter class for an AggregatingHistogram

AggregatingHistogram.Adapter() - Constructor for class de.lmu.ifi.dbs.elki.math.AggregatingHistogram.Adapter

algC - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer

algO - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer

Algorithm - Interface in de.lmu.ifi.dbs.elki.algorithm

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

algorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm

Holds the algorithm to run.

algorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm.Parameterizer

Holds the algorithm to run.

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

OptionID for AlgorithmStep

algorithms - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel

The data input configured

algorithms - Variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep

Holds the algorithm to run.

algorithms - Variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer

Holds the algorithm to run.

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

The algorithm (data mining) step.

algorithmStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer

AlgorithmStep - Class in de.lmu.ifi.dbs.elki.workflow

The "algorithms" step, where data is analyzed.

AlgorithmStep(List<Algorithm>) - Constructor for class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep

Constructor.

AlgorithmStep.Parameterizer - Class in de.lmu.ifi.dbs.elki.workflow

Parameterization class.

AlgorithmStep.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer

AlgorithmTabPanel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels

Panel to handle data processing

AlgorithmTabPanel(InputTabPanel) - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel

Constructor.

algs - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel

Algorithm step to run on.

algTab - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI

alignColumns(ObjectBundle) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase

Find a mapping from package columns to database columns, eventually adding new database columns when needed.

alignColumns(ObjectBundle) - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase

Find a mapping from package columns to database columns, eventually adding new database columns when needed.

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

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

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

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

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory

Test whether to do a thumbnail or a full rendering.

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization.Factory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Factory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Factory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer.Factory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Factory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.P1DHistogramVisualizer.Factory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AxisVisualization.Factory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.ClusterEvaluationVisFactory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.CurveVisFactory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisFactory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisFactory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisFactory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Factory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisFactory

allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Factory

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

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

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

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

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

Holds the value of ORCLUS.ALPHA_ID.

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

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

Holds the value of LOCI.ALPHA_ID.

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

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

Holds the value of SOD.ALPHA_ID.

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

Holds the value of SOD.ALPHA_ID.

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

Parameter Alpha - significance niveau

alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm.Parameterizer

Parameter Alpha - significance niveau

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

Parameter alpha: Attribute difference exponent

alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer

Parameter alpha: scaling

alpha - Variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite

Alpha (opacity) value.

alpha - Variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext

Opacity factor

alpha - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex

Holds the value of parameter alpha.

alpha - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory

Holds the value of parameter HiSCPreferenceVectorIndex.Factory.ALPHA_ID.

alpha - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory.Parameterizer

Holds the value of parameter HiSCPreferenceVectorIndex.Factory.ALPHA_ID.

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

Working space for alphas

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

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

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

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

alpha - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction

Mixing parameter alpha

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

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 de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

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

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

Parameter to specify the averaging neighborhood scaling.

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

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

ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm.Parameterizer

Holds the alpha value - significance niveau

ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer

Parameter to specify alpha

ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory

The maximum absolute variance along a coordinate axis.

ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter

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

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

Holds the alpha values of the global extremum.

AlternativeTypeInformation - Class in de.lmu.ifi.dbs.elki.data.type

Class that combines multiple type restrictions into one using the "or" operator.

AlternativeTypeInformation(TypeInformation...) - Constructor for class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation

Constructor.

angle(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractCosineDistanceFunction

Compute the angle between two vectors.

angleSparse(SparseNumberVector<?, ?>, SparseNumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractCosineDistanceFunction

Compute the angle for sparse vectors.

ANY - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Input type for algorithms that accept anything

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

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

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

Constructor

APIViolationException - Exception in de.lmu.ifi.dbs.elki.utilities.exceptions

This class indicates an exception likely caused by an API not implemented correctly.

APIViolationException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.APIViolationException

Constructor.

APIViolationException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.APIViolationException

Constructor.

append(double) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Append double

append(int) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Append integer

append(double[]) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Append double array

append(int[]) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Append integer array

append(SimpleTypeInformation<?>, Object) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle

Append a single representation to the object.

append(String, double...) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Append an action to the current path.

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

appendColumn(SimpleTypeInformation<?>, List<?>) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

Helper to add a single column to the bundle.

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

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

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

Append CSS definition to a stream

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

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

Append string containing the default value.

appendKeyArray(Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Append a key an start a new array

appendKeyHash(Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Append a key an start a new hash

appendKeyValue(Object, Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Append a key-value pair as string.

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

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

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

appendNewline() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Append a newline, for human readability

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

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

Append string that there is not default value.

appendPageFileStatistics(StringBuffer, PageFileStatistics) - Static method in class de.lmu.ifi.dbs.elki.persistent.PageFileUtil

Append the page file statistics to the output buffer.

appendParameterization(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization

Append a new Parameterization to the chain.

appendParameters(ListParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator

appendParameters(ListParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator

appendParameters(ListParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator

appendParameters(ListParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel

appendParameters(ListParameterization) - Method in interface de.lmu.ifi.dbs.elki.gui.configurator.ParameterConfigurator

appendParameters(ListParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

Collect parameters

appendSimple(Object...) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

Append a new record to the data set.

appendString(Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Append a string in quotes

appendToBuffer(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon

Append the polygon to the buffer.

appendToBuffer(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject

Append polygons to the buffer.

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

Serialize a description into a String buffer.

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

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

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

Serialize 'indefinite' progress.

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

Serialize a description into a String buffer.

appendToBuffer(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.logging.progress.StepProgress

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

Apply the transformation onto a vector

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

Apply the inverse transformation onto a vector

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

Apply the transformation onto a vector

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

Apply the inverse transformation onto a vector

approximateBinomialCoefficient(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Binomial coefficent, also known as "n choose k")

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

Returns the conservative approximated knn distance of the entry.

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

Returns the conservative approximated knn distance of the entry.

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

Returns the conservative approximated knn distance of the entry.

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

Returns the approximated value at the specified k.

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

Returns the approximated value at the specified k.

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

Returns the approximated value at the specified k.

approximateFactorial(int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Compute the Factorial of n, often written as c!

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

Computes the polynomial approximation of the specified knn-distances.

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

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

ApproximateLeastOverlapInsertionStrategy - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util

Insertion strategy that exhaustively tests all childs for the least overlap when inserting.

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

Constructor. s

ApproximateLeastOverlapInsertionStrategy.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util

Parameterization class.

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

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

Approximates the lower hull.

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

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

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

Returns the progressive approximated knn distance of the entry.

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

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

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

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

The polynomial approximation.

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

The polynomial approximation.

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

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

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

Empty constructor for serialization purposes.

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

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

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

Provides the APRIORI algorithm for Mining Association Rules.

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

Constructor with minimum frequency.

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

Constructor with minimum support.

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

Parameterization class.

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

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

Result class for Apriori Algorithm.

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

Constructor.

ArcCosineDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Cosine distance function for feature vectors.

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

Deprecated. Use static instance!

ArcCosineDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Parameterization class.

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

areas - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.SteepAreaResult

Storage

areas - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization

Our clustering

ARFF_COMMENT - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Comment pattern.

ARFF_HEADER_ATTRIBUTE - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Arff attribute declaration marker

ARFF_HEADER_DATA - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Arff data marker

ARFF_HEADER_RELATION - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Arff file marker

ARFF_NUMERIC - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Pattern for numeric columns

ArffParser - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parser to load WEKA .arff files into ELKI.

ArffParser(Pattern, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Constructor.

ArffParser(String, String) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Constructor.

ArffParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parameterization class.

ArffParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser.Parameterizer

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

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

arrange() - Method in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramProjector

arrange() - Method in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjector

arrange() - Method in interface de.lmu.ifi.dbs.elki.visualization.projector.Projector

Produce an arrangement of projections.

arrange() - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector

arrangeVisualizations() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

Recompute the layout of visualizations.

array(TypeInformation...) - Static method in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Make a type array easily.

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

Data storage

ArrayDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids

Interface for array based DBIDs.

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

Search an (unsorted) array linearly for an object.

ArrayModifiableDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids

Array-oriented implementation of a modifiable DBID collection.

ArrayRecordStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

A class to answer representation queries using the stored Array.

ArrayRecordStore(Object[][], DataStoreIDMap) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore

Constructor with existing data

ArrayRecordStore.StorageAccessor<T> - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

Access a single record in the given data.

ArrayRecordStore.StorageAccessor(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor

Constructor.

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

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

ArrayStaticDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids

Unmodifiable, indexed DBIDs.

ArrayStore<T> - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

A class to answer representation queries using the stored Array.

ArrayStore(Object[], DataStoreIDMap) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore

Constructor.

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

Return minimum and maximum as array.

asBigInteger(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurve.Transformer

Transform a single vector.

asByteArray(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurve.Transformer

Transform a single vector.

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

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

Return the header as byte array

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

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

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

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

asCollection() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs

Retrieve collection access to the IDs

asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs

asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericArrayModifiableDBIDs

asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericHashSetModifiableDBIDs

asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericTreeSetModifiableDBIDs

asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs

asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MergedDBIDs

asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs

asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayStaticDBIDs

asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

asCollection() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange

asCollection() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList.DBIDView

asDBIDs() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList

View as ArrayDBIDs

asDBIDs(List<? extends DistanceResultPair<?>>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList

View as ArrayDBIDs

asDistanceList() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList

View as list of distances

asDistanceList(List<? extends DistanceResultPair<D>>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList

View as list of distances

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

Return minimum and maximum as array.

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

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

Assert that logging was configured.

assertConsistent() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

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

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

assign(HashMap<String, ModifiableDBIDs>, String, DBID) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering

Assigns the specified id to the labelMap according to its label

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

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

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

Encapsulates the attributes of an assignment during a split.

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

Provides an assignment during a split of an MTree node.

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

Encapsulates the two promotion objects and their assignments.

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

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

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

Assigns the objects to the clusters.

assignProbabilitiesToInstances(Relation<V>, List<Double>, List<V>, List<Matrix>, List<Double>, WritableDataStore<double[]>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

Assigns the current probability values to the instances in the database and compute the expectation value of the current mixture of distributions.

asString() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ListParameter

Returns a string representation of this list parameter.

assumeVectorField(Relation<V>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil

Get the dimensionality of a database

atmean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling

Score at the mean, for cut-off.

attribute - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.AttributeModifier

The name of the attribute to be modified.

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

A sign to separate attributes.

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

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

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

Runnable wrapper for modifying XML-Attributes.

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

Trivial constructor.

AttributeWiseErfNormalization<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter

Attribute-wise Normalization using the error function.

AttributeWiseErfNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseErfNormalization

Constructor.

AttributeWiseMinMaxNormalization<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter

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

AttributeWiseMinMaxNormalization(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseMinMaxNormalization

Constructor.

AttributeWiseMinMaxNormalization.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter

Parameterization class.

AttributeWiseMinMaxNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseMinMaxNormalization.Parameterizer

AttributeWiseVarianceNormalization<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter

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

AttributeWiseVarianceNormalization(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseVarianceNormalization

Constructor.

AttributeWiseVarianceNormalization.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter

Parameterization class.

AttributeWiseVarianceNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseVarianceNormalization.Parameterizer

auc - Variable in class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve.ROCResult

AUC value

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

Automagic file format

autoopen - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler

Automatically open at the end

autoopen - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer

Automatically open at the end

AUTOOPEN_ID - Static variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer

Parameter for automatically opening the output file.

AVERAGE - Static variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite

"Average" blending.

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

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

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

The distribution generators for each axis

AXIS - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary

Axis

AXIS_LABEL - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary

Axis label

AXIS_TICK - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary

Axis tick

AXIS_TICK_MINOR - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary

Axis minor tick

AxisBasedReferencePoints<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints

Strategy to pick reference points by placing them on the axis ends.

AxisBasedReferencePoints(double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.AxisBasedReferencePoints

Constructor.

AxisBasedReferencePoints.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints

Parameterization class.

AxisBasedReferencePoints.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.AxisBasedReferencePoints.Parameterizer

axisProjection(int, int, int) - Static method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection

Compute an transformation matrix to show only axis ax1 and ax2.

AxisVisualization<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d

Generates a SVG-Element containing axes, including labeling.

AxisVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AxisVisualization

Constructor.

AxisVisualization.Factory<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d

Factory for axis visualizations

AxisVisualization.Factory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AxisVisualization.Factory

Constructor, adhering to Parameterizable