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

A

a - Variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
Model parameters: major and minor radius.
a - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
References to points in Delaunay2D.points
A0 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Constants for fast rational approximations.
A0 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
A0 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
A1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
Coefficients for polynomial approximation
A1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Constants for fast rational approximations.
A1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
A1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
A2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
Coefficients for polynomial approximation
A2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Constants for fast rational approximations.
A2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
A2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
A2Noncentral(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.tests.AndersonDarlingTest
Test a sorted but not standardized data set.
A2StandardNormal(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.tests.AndersonDarlingTest
Test a sorted data set against the standard normal distribution.
A3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
Coefficients for polynomial approximation
A3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Constants for fast rational approximations.
A3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
A3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
A4 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Constants for fast rational approximations.
ab - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
References to neighbor triangles
ABOD<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased
Angle-Based Outlier Detection / Angle-Based Outlier Factor.
ABOD(SimilarityFunction<? super V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.ABOD
Constructor for Angle-Based Outlier Detection (ABOD).
ABOD.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased
Parameterization class.
ABOD.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.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.algorithm.clustering.correlation.FourC.Settings
Use absolute variance, not relative variance.
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.
AbsolutePearsonCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
Absolute Pearson correlation distance function for feature vectors.
AbsolutePearsonCorrelationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsolutePearsonCorrelationDistanceFunction
Deprecated.
Use static instance!
AbsolutePearsonCorrelationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
Parameterization class.
AbsolutePearsonCorrelationDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsolutePearsonCorrelationDistanceFunction.Parameterizer
 
AbsoluteUncenteredCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
Absolute uncentered correlation distance function for feature vectors.
AbsoluteUncenteredCorrelationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsoluteUncenteredCorrelationDistanceFunction
Deprecated.
Use static instance!
AbsoluteUncenteredCorrelationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
Parameterization class.
AbsoluteUncenteredCorrelationDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsoluteUncenteredCorrelationDistanceFunction.Parameterizer
 
AbstractAggarwalYuOutlier<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace
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.subspace.AbstractAggarwalYuOutlier
Constructor.
AbstractAggarwalYuOutlier.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace
Parameterization class.
AbstractAggarwalYuOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.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() - 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
 
AbstractBiclustering<V extends NumberVector,M extends BiclusterModel> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering
Abstract class as a convenience for different biclustering approaches.
AbstractBiclustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering
Constructor.
AbstractBulkSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.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.strategies.bulk.AbstractBulkSplit
Constructor
AbstractClassifier<O,R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm.classification
Abstract base class for algorithms.
AbstractClassifier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.classification.AbstractClassifier
 
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
 
AbstractCovarianceMatrixBuilder - 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
 
AbstractCoverTree<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree
Abstract base class for cover tree variants.
AbstractCoverTree(Relation<O>, DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree
Constructor.
AbstractCoverTree.Factory<O,I extends AbstractCoverTree<O>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree
Index factory.
AbstractCoverTree.Factory(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory
Constructor.
AbstractCoverTree.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree
Parameterization class.
AbstractCoverTree.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Parameterizer
 
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.
AbstractDatabase.Parameterizer - Class in de.lmu.ifi.dbs.elki.database
Parameterization class.
AbstractDatabase.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.database.AbstractDatabase.Parameterizer
 
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> - 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.
AbstractDatabaseDistanceFunction.Instance<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
The actual instance bound to a particular database.
AbstractDatabaseDistanceFunction.Instance(Relation<O>, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction.Instance
Constructor.
AbstractDatabaseDistanceQuery<O> - 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.
AbstractDBIDRangeDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Abstract base class for distance functions that rely on integer offsets within a consecutive range.
AbstractDBIDRangeDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDBIDRangeDistanceFunction
 
AbstractDBIDSimilarityFunction - 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> - 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> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
Simple distance based outlier detection algorithms.
AbstractDBOutlier(DistanceFunction<? super O>, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.AbstractDBOutlier
Constructor with actual parameters.
AbstractDBOutlier.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
Parameterization class.
AbstractDBOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.AbstractDBOutlier.Parameterizer
 
AbstractDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
Abstract base class for dependence measures.
AbstractDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure
 
AbstractDimensionsSelectingDistanceFunction<V extends FeatureVector<?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Abstract base class for distances computed only in subspaces.
AbstractDimensionsSelectingDistanceFunction(long[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDistanceFunction
Constructor.
AbstractDimensionsSelectingDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Parameterization class.
AbstractDimensionsSelectingDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDistanceFunction.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
Constructor.
AbstractDiscreteUncertainifier<UO extends UncertainObject> - Class in de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier
Factory class for discrete uncertain objects.
AbstractDiscreteUncertainifier(Uncertainifier<?>, int, int) - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier
Constructor.
AbstractDiscreteUncertainifier.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier
Parameterizer.
AbstractDiscreteUncertainifier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer
 
AbstractDistanceBasedAlgorithm<O,R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm
Abstract base class for distance-based algorithms.
AbstractDistanceBasedAlgorithm(DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm
Constructor.
AbstractDistanceBasedAlgorithm.Parameterizer<O> - 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> - 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>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier
Constructor.
AbstractDistanceBasedSpatialOutlier.Parameterizer<N,O> - 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> - Class in de.lmu.ifi.dbs.elki.database.query.knn
Instance for the query on a particular database.
AbstractDistanceKNNQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.AbstractDistanceKNNQuery
Constructor.
AbstractDistanceQuery<O> - 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> - 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>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.range.AbstractDistanceRangeQuery
Constructor.
AbstractDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
Abstract base class for distributions.
AbstractDistribution(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution
Constructor.
AbstractDistribution(Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution
Constructor.
AbstractDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
Parameterization class.
AbstractDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution.Parameterizer
 
AbstractDoubleProcessor - Class in de.lmu.ifi.dbs.elki.parallel.processor
Abstract base class for processors that output double values.
AbstractDoubleProcessor() - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.AbstractDoubleProcessor
 
AbstractDoubleProcessor.Instance - Class in de.lmu.ifi.dbs.elki.parallel.processor
Instance.
AbstractDoubleProcessor.Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.AbstractDoubleProcessor.Instance
Constructor.
AbstractEarthModel - Class in de.lmu.ifi.dbs.elki.math.geodesy
Abstract base class for earth models with shared glue code.
AbstractEarthModel(double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
Constructor.
AbstractEditDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
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
 
AbstractEMModelFactory<V extends NumberVector,M extends MeanModel> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em
Abstract base class for initializing EM.
AbstractEMModelFactory(KMeansInitialization<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory
Constructor.
AbstractEMModelFactory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em
Parameterization class.
AbstractEMModelFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory.Parameterizer
 
AbstractExpMADEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Abstract base class for estimators based on the median and MAD.
AbstractExpMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractExpMADEstimator
Constructor.
AbstractExternalizablePage - Class in de.lmu.ifi.dbs.elki.persistent
Abstract superclass for pages.
AbstractExternalizablePage() - Constructor for class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage
Empty constructor for Externalizable interface.
AbstractFilteredPCAIndex<NV extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca
Abstract base class for a local PCA based index.
AbstractFilteredPCAIndex(Relation<NV>, PCAFilteredRunner) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex
Constructor.
AbstractFilteredPCAIndex.Factory<NV extends NumberVector,I extends AbstractFilteredPCAIndex<NV>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.localpca
Factory class.
AbstractFilteredPCAIndex.Factory(DistanceFunction<NV>, PCAFilteredRunner) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory
Constructor.
AbstractFilteredPCAIndex.Factory.Parameterizer<NV extends NumberVector,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
 
AbstractFrequentItemsetAlgorithm - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
Abstract base class for frequent itemset mining.
AbstractFrequentItemsetAlgorithm(double, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm
Constructor.
AbstractFrequentItemsetAlgorithm(double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm
Constructor.
AbstractFrequentItemsetAlgorithm.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
Parameterization class.
AbstractFrequentItemsetAlgorithm.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm.Parameterizer
 
AbstractFullProjection - Class in de.lmu.ifi.dbs.elki.visualization.projections
Abstract base class for full projections.
AbstractFullProjection(Projector, LinearScale[]) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection
Constructor.
AbstractHDBSCAN<O,R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Abstract base class for HDBSCAN variations.
AbstractHDBSCAN(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN
Constructor.
AbstractHDBSCAN.HDBSCANAdapter - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Class for processing the HDBSCAN G_mpts graph.
AbstractHDBSCAN.HDBSCANAdapter(ArrayDBIDs, DoubleDataStore, DistanceQuery<?>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter
Constructor.
AbstractHDBSCAN.HeapMSTCollector - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Class for collecting the minimum spanning tree edges into a heap.
AbstractHDBSCAN.HeapMSTCollector(DoubleLongHeap, FiniteProgress, Logging) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector
Constructor.
AbstractHDBSCAN.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Parameterization class
AbstractHDBSCAN.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.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.
AbstractHistogramVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.histogram
One-dimensional projected visualization.
AbstractHistogramVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.AbstractHistogramVisualization
Constructor.
AbstractHoldout - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout
Split a data set for holdout evaluation.
AbstractHoldout() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout
 
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> - 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,F extends DistanceFunction<? super O>> - 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> - 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> - 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
 
AbstractIntegerDBIDFactory - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Abstract base class for DBID factories.
AbstractIntegerDBIDFactory() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
 
AbstractIntrinsicDimensionalityEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality
Abstract base class for ID estimators.
AbstractIntrinsicDimensionalityEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.AbstractIntrinsicDimensionalityEstimator
 
AbstractKMeans<V extends NumberVector,M extends Model> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
Abstract base class for k-means implementations.
AbstractKMeans(NumberVectorDistanceFunction<? super V>, int, int, KMeansInitialization<? super V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans
Constructor.
AbstractKMeans.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
Parameterization class.
AbstractKMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Parameterizer
 
AbstractKMeansInitialization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
Abstract base class for common k-means initializations.
AbstractKMeansInitialization(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.AbstractKMeansInitialization
Constructor.
AbstractKMeansInitialization.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
Parameterization class.
AbstractKMeansInitialization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.AbstractKMeansInitialization.Parameterizer
 
AbstractKMeansQualityMeasure<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality
Base class for evaluating clusterings by information criteria (such as AIC or BIC).
AbstractKMeansQualityMeasure() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.AbstractKMeansQualityMeasure
 
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
Constructor.
AbstractLMMEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Abstract base class for L-Moments based estimators (LMM).
AbstractLMMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractLMMEstimator
Constructor.
AbstractLogMADEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Abstract base class for estimators based on the median and MAD.
AbstractLogMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractLogMADEstimator
Constructor.
AbstractLogMeanVarianceEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Estimators that work on Mean and Variance only (i.e. the first two moments only).
AbstractLogMeanVarianceEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractLogMeanVarianceEstimator
Constructor.
AbstractLogMOMEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Abstract base class for estimators based on the statistical moments.
AbstractLogMOMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractLogMOMEstimator
Constructor.
AbstractMADEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Abstract base class for estimators based on the median and MAD.
AbstractMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractMADEstimator
Constructor.
AbstractMaterializeKNNPreprocessor<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
Abstract base class for KNN Preprocessors.
AbstractMaterializeKNNPreprocessor(Relation<O>, DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
Constructor.
AbstractMaterializeKNNPreprocessor.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
The parameterizable factory.
AbstractMaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory
Index factory.
AbstractMaterializeKNNPreprocessor.Factory.Parameterizer<O> - 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
 
AbstractMeanVarianceEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Estimators that work on Mean and Variance only (i.e. the first two moments only).
AbstractMeanVarianceEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractMeanVarianceEstimator
Constructor.
AbstractMkTree<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry,S extends MTreeSettings<O,N,E>> - 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(Relation<O>, PageFile<N>, S) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree
Constructor.
AbstractMkTreeUnified<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry,S extends MkTreeSettings<O,N,E>> - Class in 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(Relation<O>, PageFile<N>, S) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnified
Constructor.
AbstractMkTreeUnifiedFactory<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry,I extends AbstractMkTree<O,N,E,S> & Index,S extends MkTreeSettings<O,N,E>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees
Abstract factory for various Mk-Trees
AbstractMkTreeUnifiedFactory(PageFileFactory<?>, S) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory
Constructor.
AbstractMkTreeUnifiedFactory.Parameterizer<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry,S extends MkTreeSettings<O,N,E>> - 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
 
AbstractModel - Class in de.lmu.ifi.dbs.elki.data.model
Abstract base class for Cluster Models.
AbstractModel() - Constructor for class de.lmu.ifi.dbs.elki.data.model.AbstractModel
 
AbstractMOMEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Abstract base class for estimators based on the statistical moments.
AbstractMOMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractMOMEstimator
Constructor.
AbstractMTree<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry,S extends MTreeSettings<O,N,E>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Abstract super class for all M-Tree variants.
AbstractMTree(PageFile<N>, S) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
Constructor.
AbstractMTree.Statistics - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Class for tracking some statistics.
AbstractMTree.Statistics() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics
Constructor.
AbstractMTreeFactory<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry,I extends AbstractMTree<O,N,E,S> & Index,S extends MTreeSettings<O,N,E>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Abstract factory for various MTrees
AbstractMTreeFactory(PageFileFactory<?>, S) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory
Constructor.
AbstractMTreeFactory.Parameterizer<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry,S extends MTreeSettings<O,N,E>> - 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,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry> - 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<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization
Abstract super class for all normalizations.
AbstractNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractNormalization
Initializes the option handler and the parameter map.
AbstractNumberConstraint<P> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints
Abstract super class for constraints dealing with a certain number value.
AbstractNumberConstraint(Number) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.AbstractNumberConstraint
Creates an abstract number constraint.
AbstractNumberVector - 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
 
AbstractNumberVector.Factory<V extends AbstractNumberVector> - Class in de.lmu.ifi.dbs.elki.data
Factory class.
AbstractNumberVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.AbstractNumberVector.Factory
 
AbstractNumberVectorDistanceBasedAlgorithm<O,R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm
Abstract base class for distance-based algorithms that need to work with synthetic numerical vectors such as mean vectors.
AbstractNumberVectorDistanceBasedAlgorithm(NumberVectorDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractNumberVectorDistanceBasedAlgorithm
Constructor.
AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm
Parameterization helper class.
AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer
 
AbstractNumberVectorDistanceFunction - 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.
AbstractNumberVectorDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractNumberVectorDistanceFunction
Constructor.
AbstractNumberVectorNorm - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Abstract base class for double-valued number-vector-based distances based on norms.
AbstractNumberVectorNorm() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractNumberVectorNorm
 
AbstractObjDynamicHistogram<T> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
A dynamic histogram can dynamically adapt the number of bins to the data fed into the histogram.
AbstractObjDynamicHistogram(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Constructor.
AbstractObjStaticHistogram<T> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Histogram class storing double values.
AbstractObjStaticHistogram(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjStaticHistogram
Constructor.
AbstractObjStaticHistogram.Iter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Iterator class.
AbstractObjStaticHistogram.Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjStaticHistogram.Iter
 
AbstractOPTICS<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics
The OPTICS algorithm for density-based hierarchical clustering.
AbstractOPTICS(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.AbstractOPTICS
Constructor.
AbstractOPTICS.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics
Parameterization class.
AbstractOPTICS.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.AbstractOPTICS.Parameterizer
 
AbstractOPTICSVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics
Abstract base class for OPTICS visualizer
AbstractOPTICSVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.AbstractOPTICSVisualization
Constructor.
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.
AbstractPageFileFactory<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent
Abstract page file factory.
AbstractPageFileFactory(int) - Constructor for class de.lmu.ifi.dbs.elki.persistent.AbstractPageFileFactory
Constructor.
AbstractPageFileFactory.Parameterizer<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent
Parameterization class.
AbstractPageFileFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.AbstractPageFileFactory.Parameterizer
 
AbstractParallelVisualization<NV> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel
Abstract base class for parallel visualizations.
AbstractParallelVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization
Constructor.
AbstractParameter<THIS extends AbstractParameter<THIS,T>,T> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Abstract class for specifying a parameter.
AbstractParameter(OptionID, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
Constructs a parameter with the given optionID, constraints, and default value.
AbstractParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
Constructs a parameter with the given optionID, constraints, and optional flag.
AbstractParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
Constructs a parameter with the given optionID, and constraints.
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
 
AbstractPartialReinsert - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert
Abstract base class for reinsertion strategies that have a "relative amount" parameter to partially reinsert entries.
AbstractPartialReinsert(double, SpatialPrimitiveDistanceFunction<?>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert
Constructor.
AbstractPartialReinsert.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert
Parameterization class.
AbstractPartialReinsert.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.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
 
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,R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm
Abstract base class for distance-based algorithms that need to work with synthetic objects such as mean vectors.
AbstractPrimitiveDistanceBasedAlgorithm(PrimitiveDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm
Constructor.
AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<O> - 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> - 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
Constructor.
AbstractPrimitiveSimilarityFunction<O> - 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<?>,V extends NumberVector> - 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
 
AbstractProjectedHashFunctionFamily - Class in de.lmu.ifi.dbs.elki.index.lsh.hashfamilies
Abstract base class for projection based hash functions.
AbstractProjectedHashFunctionFamily(RandomFactory, RandomProjectionFamily, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily
Constructor.
AbstractProjectedHashFunctionFamily.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.lsh.hashfamilies
Parameterization class.
AbstractProjectedHashFunctionFamily.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily.Parameterizer
 
AbstractProjection - Class in de.lmu.ifi.dbs.elki.visualization.projections
Abstract base projection class.
AbstractProjection(Projector, LinearScale[]) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection
Constructor.
AbstractRandomProjectionFamily - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections
Abstract base class for random projection families.
AbstractRandomProjectionFamily(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily
Constructor.
AbstractRandomProjectionFamily.MatrixProjection - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections
Class to project using a matrix multiplication.
AbstractRandomProjectionFamily.MatrixProjection(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.MatrixProjection
Constructor.
AbstractRandomProjectionFamily.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections
Parameterization interface (with the shared parameters)
AbstractRandomProjectionFamily.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.Parameterizer
 
AbstractRangeQueryNeighborPredicate<O,M> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
Abstract local model neighborhood predicate.
AbstractRangeQueryNeighborPredicate(double, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate
Full constructor.
AbstractRangeQueryNeighborPredicate.Instance<N,M> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
Instance for a particular data set.
AbstractRangeQueryNeighborPredicate.Instance(DBIDs, DataStore<M>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate.Instance
Constructor.
AbstractRangeQueryNeighborPredicate.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
Parameterization class
AbstractRangeQueryNeighborPredicate.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate.Parameterizer
 
AbstractRefiningIndex<O> - Class in de.lmu.ifi.dbs.elki.index
Abstract base class for Filter-refinement indexes.
AbstractRefiningIndex(Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex
Constructor.
AbstractRefiningIndex.AbstractKNNQuery - Class in de.lmu.ifi.dbs.elki.index
KNN query for this index.
AbstractRefiningIndex.AbstractKNNQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractKNNQuery
Constructor.
AbstractRefiningIndex.AbstractRangeQuery - Class in de.lmu.ifi.dbs.elki.index
Range query for this index.
AbstractRefiningIndex.AbstractRangeQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractRangeQuery
Constructor.
AbstractRelation<O> - Class in de.lmu.ifi.dbs.elki.database.relation
Abstract base class for relations.
AbstractRelation() - Constructor for class de.lmu.ifi.dbs.elki.database.relation.AbstractRelation
Constructor.
AbstractRKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.rknn
Instance for the query on a particular database.
AbstractRKNNQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.AbstractRKNNQuery
Constructor.
AbstractRStarTree<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry,S extends AbstractRTreeSettings> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
Abstract superclass for index structures based on a R*-Tree.
AbstractRStarTree(PageFile<N>, S) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Constructor.
AbstractRStarTree.Statistics - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
Class for tracking some statistics.
AbstractRStarTree.Statistics() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics
Constructor.
AbstractRStarTreeFactory<O extends NumberVector,N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry,I extends AbstractRStarTree<N,E,S> & Index,S extends AbstractRTreeSettings> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
Abstract factory for R*-Tree based trees.
AbstractRStarTreeFactory(PageFileFactory<?>, S) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory
Constructor.
AbstractRStarTreeFactory.Parameterizer<O extends NumberVector,S extends AbstractRTreeSettings> - 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.
AbstractRTreeSettings - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
Class to wrap common Rtree settings.
AbstractRTreeSettings() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings
 
AbstractScatterplotVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot
Default class to handle 2D projected visualizations.
AbstractScatterplotVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization
Constructor.
AbstractScoreEvaluation - Class in de.lmu.ifi.dbs.elki.evaluation.scores
Abstract base class for evaluating a scoring result.
AbstractScoreEvaluation() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.AbstractScoreEvaluation
 
AbstractSetDistanceFunction<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.set
Abstract base class for set distance functions.
AbstractSetDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.set.AbstractSetDistanceFunction
 
AbstractSimilarityAdapter<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter
Adapter from a similarity function to a distance function.
AbstractSimilarityAdapter(SimilarityFunction<? super O>) - 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>, SimilarityQuery<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance
Constructor.
AbstractSimilarityAdapter.Parameterizer<O,S extends SimilarityFunction<? super 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> - 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(Projector, 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
Base class for MiniGUI input helpers
AbstractSingleParameterConfigurator(T, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.AbstractSingleParameterConfigurator
Constructor.
AbstractSpatialDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Abstract base class for typical distance functions that allow rectangle-to-rectangle lower bounds.
AbstractSpatialDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractSpatialDistanceFunction
 
AbstractSpatialNorm - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Abstract base class for typical distance functions that allow rectangle-to-rectangle lower bounds.
AbstractSpatialNorm() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractSpatialNorm
 
AbstractSpatialSorter - Class in de.lmu.ifi.dbs.elki.math.spacefillingcurves
Abstract base class for spatial sorters, offering shared functionality.
AbstractSpatialSorter() - Constructor for class de.lmu.ifi.dbs.elki.math.spacefillingcurves.AbstractSpatialSorter
Constructor.
AbstractStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Abstract base class for histograms.
AbstractStaticHistogram(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram
Histogram constructor
AbstractStaticHistogram.Iter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Iterator class to iterate over all bins.
AbstractStaticHistogram.Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
 
AbstractStatistic - Class in de.lmu.ifi.dbs.elki.logging.statistics
Abstract base class for statistics tracking.
AbstractStatistic(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.AbstractStatistic
Constructor.
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.
AbstractStreamConversionFilter<I,O> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Abstract base class for simple conversion filters such as normalizations and projections.
AbstractStreamConversionFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter
 
AbstractStreamFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter
Abstract base class for streaming filters.
AbstractStreamFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter
 
AbstractStreamingParser - Class in de.lmu.ifi.dbs.elki.datasource.parser
Base class for streaming parsers.
AbstractStreamingParser(CSVReaderFormat) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser
Constructor.
AbstractStreamingParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser
Parameterization class.
AbstractStreamingParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser.Parameterizer
 
AbstractStreamNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization
Abstract super class for all normalizations.
AbstractStreamNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractStreamNormalization
Initializes the option handler and the parameter map.
AbstractSupervisedProjectionVectorFilter<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
Base class for supervised projection methods.
AbstractSupervisedProjectionVectorFilter(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter
Constructor.
AbstractSupervisedProjectionVectorFilter.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
Parameterization class.
AbstractSupervisedProjectionVectorFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter.Parameterizer
 
AbstractTooltipVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot
General base class for a tooltip visualizer.
AbstractTooltipVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization
Constructor.
AbstractUncertainObject - Class in de.lmu.ifi.dbs.elki.data.uncertain
Abstract base implementation for UncertainObjects, providing shared functionality such as bounding box access and random generation.
AbstractUncertainObject() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.AbstractUncertainObject
 
AbstractVectorConversionFilter<I,O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Abstract class for filters that produce number vectors.
AbstractVectorConversionFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorConversionFilter
 
AbstractVectorIter - Class in de.lmu.ifi.dbs.elki.evaluation.scores.adapter
Class to iterate over a number vector in decreasing order.
AbstractVectorIter(NumberVector) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.AbstractVectorIter
Constructor.
AbstractVectorSimilarityFunction - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction
Abstract base class for double-valued primitive similarity functions.
AbstractVectorSimilarityFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractVectorSimilarityFunction
 
AbstractVectorStreamConversionFilter<I,O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter
Abstract base class for streaming filters that produce vectors.
AbstractVectorStreamConversionFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter
 
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, VisualizationPlot, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
Constructor.
acceptsType(SimpleTypeInformation<?>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.CorePredicate
Test whether the neighborhood type T is accepted by this predicate.
acceptsType(SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate
 
acceptsType(SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate
 
acceptsType(SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate
 
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.
AchlioptasRandomProjectionFamily - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections
Random projections as suggested by Dimitris Achlioptas.
AchlioptasRandomProjectionFamily(double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AchlioptasRandomProjectionFamily
Constructor.
AchlioptasRandomProjectionFamily.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections
Parameterization class.
AchlioptasRandomProjectionFamily.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AchlioptasRandomProjectionFamily.Parameterizer
 
ACTION_CANCELED - Static variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup
Action string for canceled operations (escape button pressed).
ACTION_QUIT - Static variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI
Quit action, for mnemonics.
ACTION_SELECTED - Static variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup
Action string for confirmed operations (enter or click).
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.
activate() - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationMenuAction
Menu item was activated.
activate() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.actions.ClusterStyleAction.SetStyleAction
 
active() - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationMenuToggle
Return the current state.
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.
actualPairs - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments
Pairs actually present in the data set
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 the adapted strong eigenvectors.
adaptedCoefficientOfDetermination() - Method in class de.lmu.ifi.dbs.elki.math.statistics.PolynomialRegression
Returns the adapted coefficient of determination
adapter - Variable in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection
Array adapter.
AdaptiveSortTileRecursiveBulkSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk
This is variation of the original STR bulk load for non-rectangular data spaces.
AdaptiveSortTileRecursiveBulkSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit
 
AdaptiveSortTileRecursiveBulkSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk
Parameterization class.
AdaptiveSortTileRecursiveBulkSplit.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit.Parameterizer
 
add(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster
Add new objects to the cluster.
add(DBIDRef, double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder
Add an object to the cluster order.
add(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
add(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
 
add(DoubleDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
 
add(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap
 
add(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList
 
add(DoubleDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList
 
add(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
 
add(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs
Add a single DBID to the collection.
add(double, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDoubleDBIDList
Add an object to this result.
add(DoubleDBIDPair) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDoubleDBIDList
Add an element.
add(Vector) - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D
Add a single point to the list (this does not compute the hull!)
add(Vector) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D
Add a single point to the list (this does not compute or update the triangulation!)
add(double, double) - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve
Add a coordinate pair, but don't simplify
add(double, double) - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot.Curve
Add a coordinate pair, but don't simplify
add(Result, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy
 
add(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray
Add a numeric attribute value.
add(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
 
add(K, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
 
add(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
 
add(K, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
 
add(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
 
add(K, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
 
add(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
 
add(K, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
 
add(double) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap
Add a key-value pair to the heap
add(double, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap
Add a key-value pair to the heap, except if the new element is larger than the top, and we are at design size (overflow)
add(double, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap
Add a key-value pair to the heap
add(double, int, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap
Add a key-value pair to the heap if it improves the top.
add(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
 
add(double, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
 
add(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
 
add(double, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
 
add(double, long) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap
Add a key-value pair to the heap
add(double, long, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap
Add a key-value pair to the heap if it improves the top.
add(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
 
add(double, long, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
 
add(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
 
add(double, long, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
 
add(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
 
add(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
 
add(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
 
add(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
 
add(double, V) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap
Add a key-value pair to the heap
add(double, V, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap
Add a key-value pair to the heap if it improves the top.
add(double, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
 
add(double, V, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
 
add(double, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
 
add(double, V, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
 
add(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
Add an element to the heap.
add(int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap
Add a key-value pair to the heap
add(int, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap
Add a key-value pair to the heap, except if the new element is larger than the top, and we are at design size (overflow)
add(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
 
add(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
 
add(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
 
add(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
 
add(int, V) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap
Add a key-value pair to the heap
add(int, V, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap
Add a key-value pair to the heap if it improves the top.
add(int, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
 
add(int, V, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
 
add(int, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
 
add(int, V, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
 
add(K) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap
Add a key-value pair to the heap
add(K, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap
Add a key-value pair to the heap, except if the new element is larger than the top, and we are at design size (overflow)
add(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedHeap
 
add(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
 
add(O, O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
add(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
add(O, O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.ModifiableHierarchy
Add a parent-child relationship.
add(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.ModifiableHierarchy
Add an entry (initializes data structures).
add(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem
Add a task to the item.
addActionListener(ActionListener) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup
Register an action listener.
addActionListener(ActionListener) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Adds an ActionListener to the plot.
addAlias(String, String) - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry.Entry
Register a class alias.
addAndSimplify(double, double) - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve
Add a coordinate pair, performing curve simplification if possible.
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.
addBarChart(SVGPlot, Element, double, String, double, double, double, double, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization
 
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
 
addCheckBoxListener(ChangeListener) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox
Register a listener for this checkbox.
addChild(Cluster<DendrogramModel>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster
Add a child cluster.
addChild(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec
Add a child.
addChildCluster(Cluster<M>, Cluster<M>) - Method in class de.lmu.ifi.dbs.elki.data.Clustering
Add a cluster to the clustering.
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(GeneratorInterface) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain
Add a cluster to the cluster list.
addConstraint(ParameterConstraint<? super Integer>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListEachConstraint
Add a constraint to this operator.
addConstraint(ParameterConstraint<? super T>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
 
addConstraint(ParameterConstraint<? super T>) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter
Add an additional constraint.
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.Instance
Adds the required CSS-Classes
addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
Adds the required CSS-Classes
addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
Adds the required CSS-Classes
addCSSClasses() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
Define and add required CSS classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
Add the main CSS classes.
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Instance
Adds the required CSS-Classes.
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
Adds the required CSS-Classes
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
Adds the required CSS-Classes.
addCSSClasses(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
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.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster
Add new objects to the cluster.
addDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
addDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
 
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.
addEdge(double, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector
 
addEdge(double, int, int) - Method in interface de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree.Collector
Add a new edge to the output.
addend - Static variable in class de.lmu.ifi.dbs.elki.math.random.FastNonThreadsafeRandom
 
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, int, SVGArrow.Direction) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance
Add an event listener to the Element
addEventListener(Element, int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
Add an event listener to the Element
addEventListener(Element, int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
Add an event listener to the Element.
addFeatureVector(DBIDRef, 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
addFlags(int) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
Set a task flag.
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
addHeader(String) - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult
Add a header line to this result.
addHeader(SVGPlot, Element, double, String) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization
 
addHit(String, Class<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry.Entry
If a name has been resolved, add it.
addInternal(double, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
Add an entry, consisting of distance and internal index.
addInternal(double, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap
Add a new element to the heap/list.
addInternal(DoubleIntegerDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList
Add an entry, consisting of distance and internal index.
ADDITIONAL_REFERENCE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES
Additional historical reference for single-linkage.
ADDITIONAL_REFERENCE_1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
Additional reference -- Darling's note on this equation
ADDITIONAL_REFERENCE_2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
More detailed discussion by Pettitt
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.
addLabel(String) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar
Set label (right of the bar)
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.
addLightGradient(SVGPlot) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGEffects
Static method to prepare a SVG document for light gradient effects.
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.
addListeners() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
Add the listeners according to the mask.
addMarker() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
Add marker for the selected IDs to mtag
addMarkerRect(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
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.
addMeasure(String, double, double, double, boolean) - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult.MeasurementGroup
Add a single measurement.
addMeasure(String, double, double, double, double, boolean) - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult.MeasurementGroup
Add a single measurement.
addName(String) - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry.Entry
Add a candidate.
addNewRelation(SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
Add a new representation for the given meta.
addNotify() - Method in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.DispatchingPanel
 
addOrGet(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hash.Unique
Inserts a value into the set, unless it is already present.
addPanelListener(ParameterTabPanel) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel
 
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, int, 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
addParent(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec
Add a parent.
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.
addRecursively(ArrayList<Vector>, Hierarchy<Cluster<Model>>, Cluster<Model>) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Instance
Recursively add a cluster and its children.
addReference(Object, Reference, List<Pair<Reference, TreeSet<Object>>>, Map<Reference, TreeSet<Object>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
 
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.
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
addShadowFilter(SVGPlot) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGEffects
Static method to prepare a SVG document for drop shadow effects.
AddSingleScale - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
Pseudo "algorithm" that computes the global min/max for a relation across all attributes.
AddSingleScale(double[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale
Constructor.
AddSingleScale.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
Parameterization class.
AddSingleScale.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale.Parameterizer
 
addSingleton(SimplifiedHierarchyExtraction.TempCluster, DBIDRef, double, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction
Add a singleton object, as point or cluster.
addToFirst(E, double, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments
Add an entry to the first set.
addToplevelCluster(Cluster<M>) - Method in class de.lmu.ifi.dbs.elki.data.Clustering
Add a cluster to the clustering.
addToSecond(E, double, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments
Add an entry to the second set.
addToTies(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
Ensure the ties array has capacity for at least one more element.
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
addTranslation(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Add a translation operation to the matrix
addUpdateFlags(int) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
Set (OR) the update flags.
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.
addVis(Object, VisualizationItem) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
Add (register) a visualization.
addVisualizationListener(VisualizationListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree
Add a listener.
addVisualizationListener(VisualizationListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
Add a listener.
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, Vector, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO
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, Map<DBID, KNNList>) - 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, Map<DBID, KNNList>) - 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.
adjustedEps(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.KernelDensityEstimator
Rescale the query radius based on the given dimensionality.
adjustedRandIndex() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting
Computes the adjusted Rand index (ARI).
adjustEntry(E, DBID, double, AbstractMTree<O, 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, DBID, double, AbstractMTree<O, MkAppTreeNode<O>, MkAppEntry, ?>) - 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, DBID, double, AbstractMTree<O, MkCoPTreeNode<O>, MkCoPEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
 
adjustEntry(MkMaxEntry, DBID, double, AbstractMTree<O, MkMaxTreeNode<O>, MkMaxEntry, ?>) - 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, DBID, double, AbstractMTree<O, MkTabTreeNode<O>, MkTabEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode
 
adjustEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Adjusts the parameters of the entry representing this node.
adjustEntry(DeLiCluEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode
 
adjustEntry(RdKNNEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode
 
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.
adjustKNNDistance(RdKNNEntry, ArrayDBIDs, List<? extends KNNList>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
Adjusts the knn distance in the subtree of the specified root entry.
adjustTree(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 interface de.lmu.ifi.dbs.elki.database.ids.DBIDArrayIter
 
advance(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDArrayIter
 
advance() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDIter
 
advance() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDListIter
 
advance(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDListIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.DBIDItr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvDBIDItr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs.UnmodifiableDBIDIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.Itr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.Itr.TIntHashItr
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.AbstractVectorIter
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.AbstractVectorIter
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DecreasingVectorIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DistanceResultAdapter
 
advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.FilteredDistanceResultAdapter
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.IncreasingVectorIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.OutlierScoreAdapter
 
advance() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.SimpleAdapter
 
advance() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve.Itr
Advance the iterator to the next position.
advance() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot.Curve.Itr
Advance the iterator to the next position.
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap.UnorderedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap.UnsortedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.FilteredIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAll
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrDesc
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildren
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildrenReverse
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParents
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParentsReverse
 
advance() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy.Iter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.StackedIter
 
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
 
advance() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayIter
 
advance(int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayIter
Moves the iterator forward or backward by the given offset.
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayListIter
 
advance(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayListIter
 
advance() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.Iter
Moves the iterator forward to the next entry.
advance() - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer
 
affectedkNN(List<? extends KNNList>, DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
Extracts and removes the DBIDs in the given collections.
affectedRkNN(List<? extends Collection<DoubleDBIDPair>>, DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
Extracts and removes the DBIDs in the given collections.
AffineProjection - Class in de.lmu.ifi.dbs.elki.visualization.projections
Affine projections are the most general class.
AffineProjection(Projector, 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
AffinityPropagationClusteringAlgorithm<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation
Cluster analysis by affinity propagation.
AffinityPropagationClusteringAlgorithm(AffinityPropagationInitialization<O>, double, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm
Constructor.
AffinityPropagationClusteringAlgorithm.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation
Parameterization class.
AffinityPropagationClusteringAlgorithm.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer
 
AffinityPropagationInitialization<O> - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation
Initialization methods for affinity propagation.
Afinal - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction
Sigmoid parameter
agg - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators
Aggregation method.
agg - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer
Aggregation method.
AggarwalYuEvolutionary<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace
Evolutionary variant (EAFOD) of the high-dimensional outlier detection algorithm by Aggarwal and Yu.
AggarwalYuEvolutionary(int, int, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary
Constructor.
AggarwalYuEvolutionary.EvolutionarySearch - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace
The inner class to handle the actual evolutionary computation.
AggarwalYuEvolutionary.EvolutionarySearch(Relation<V>, ArrayList<ArrayList<DBIDs>>, int, Random) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch
Constructor.
AggarwalYuEvolutionary.Individuum - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace
Individuum for the evolutionary search.
AggarwalYuEvolutionary.Individuum(double, short[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Individuum
Constructor
AggarwalYuEvolutionary.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace
Parameterization class.
AggarwalYuEvolutionary.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Parameterizer
 
AggarwalYuNaive<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace
BruteForce variant of the high-dimensional outlier detection algorithm by Aggarwal and Yu.
AggarwalYuNaive(int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuNaive
Constructor.
AggarwalYuNaive.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace
Parameterization class.
AggarwalYuNaive.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuNaive.Parameterizer
 
aggregate - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster
Mass aggregate.
aggregate(double[]) - Method in enum de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
Aggregate values.
aggregate(T, T) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Rule to combine two bins or entries into one.
AGGREGATE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer
Aggregation method.
AggregatedHillEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality
Estimator using the weighted average of multiple hill estimators.
AggregatedHillEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.AggregatedHillEstimator
 
AggregatedHillEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality
Parameterization class.
AggregatedHillEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.AggregatedHillEstimator.Parameterizer
 
aggregateSpecial(T, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Aggregate for a special value.
AGNES<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Hierarchical Agglomerative Clustering (HAC) or Agglomerative Nesting (AGNES) is a classic hierarchical clustering algorithm.
AGNES(DistanceFunction<? super O>, LinkageMethod) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES
Constructor.
AGNES.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Parameterization class
AGNES.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES.Parameterizer
 
AkaikeInformationCriterion - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality
Akaike Information Criterion (AIC).
AkaikeInformationCriterion() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.AkaikeInformationCriterion
 
ALGO_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer
Parameter that specifies which outlier detection algorithm to use on the resulting set of high contrast subspaces.
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.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy
Clustering algorithm to run to obtain the hierarchy.
algorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy.Parameterizer
The hierarchical clustering algorithm to run.
algorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction
Clustering algorithm to run to obtain the hierarchy.
algorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Parameterizer
The hierarchical clustering algorithm to run.
algorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction
Clustering algorithm to run to obtain the hierarchy.
algorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Parameterizer
The hierarchical clustering algorithm to run.
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 - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1.Parameterizer
Clustering algorithm to run.
algorithm - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask
Classifier to evaluate.
algorithm - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask.Parameterizer
Classifier to evaluate.
ALGORITHM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer
Parameter to hand an algorithm to be wrapped and run to our instance of RepresentativeUncertainClustering.
ALGORITHM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1.Parameterizer
Clustering algorithm to use.
ALGORITHM_ID - Static variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer
Parameter to specify the algorithm to run.
algorithms - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.SimpleOutlierEnsemble
The algorithms to run.
algorithms - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.SimpleOutlierEnsemble.Parameterizer
The algorithms to run.
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
Algorithm panel.
Alias - Annotation Type in de.lmu.ifi.dbs.elki.utilities
This interface defines alias names for classes.
aliases - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry.Entry
Aliases hash map.
aliaslen - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry.Entry
Occupied entries in aliases.
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.
alignLabels(List<ClassLabel>, double[], Collection<ClassLabel>) - Method in class de.lmu.ifi.dbs.elki.algorithm.classification.AbstractClassifier
Align the labels for a label query.
ALL - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.CellVisitor
Different modes of operation.
ALL_PROCESSORS - Static variable in class de.lmu.ifi.dbs.elki.parallel.ParallelCore
The number of CPUs to use.
allClassLabels(MultipleObjectsBundle) - Static method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout
Get an array of all class labels in a given data set.
allClassLabels(MultipleObjectsBundle, int) - Static method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout
Get an array of all class labels in a given data set.
allM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Mean of the current bicluster.
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(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.histogram.ColoredHistogramVisualizer
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisualization
 
allowThumbnails(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYPlotVisualization
 
ALMOST_ONE - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
Threshold
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.
almostEquals(double[][], double[][], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
Compare two matrices with a delta parameter to take numerical errors into account.
almostEquals(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
Compare two matrices with a delta parameter to take numerical errors into account.
ALOCI<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof
Fast Outlier Detection Using the "approximate Local Correlation Integral".
ALOCI(NumberVectorDistanceFunction<?>, int, int, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI
Constructor.
ALOCI.ALOCIQuadTree - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof
Simple quadtree for ALOCI.
ALOCI.ALOCIQuadTree(double[], double[], double[], int, Relation<? extends NumberVector>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree
Constructor.
ALOCI.Node - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof
Node of the ALOCI Quadtree
ALOCI.Node(int, Vector, int, int, List<ALOCI.Node>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Node
Constructor.
ALOCI.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof
Parameterization class.
ALOCI.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Parameterizer
 
alongTrackDistanceDeg(double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
The along track distance, is the distance from S to Q along the track S to E.
alongTrackDistanceDeg(double, double, double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
The along track distance, is the distance from S to Q along the track S to E.
alongTrackDistanceRad(double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
The along track distance, is the distance from S to Q along the track S to E.
alongTrackDistanceRad(double, double, double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
The along track distance, is the distance from S to Q along the track S to E.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch
The parameter for multiple node deletion.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.Parameterizer
The parameter for multiple node deletion.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
Holds the value of ORCLUS.Parameterizer.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.clustering.gdbscan.LSDBC
Alpha parameter.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC.Parameterizer
Alpha parameter.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC
Relative density threshold parameter alpha.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer
Relative density threshold parameter Alpha.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC
Holds the maximum diversion allowed.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer
Alpha parameter.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C
Alpha threshold for testing.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer
Parameter for the chi squared test threshold.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering
Alpha parameter for confidence.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer
Alpha parameter for confidence.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI
Alpha (level difference of sampling and counting neighborhoods)
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Parameterizer
Alpha: number of levels difference to use in comparison
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI
Holds the value of LOCI.ALPHA_ID.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.Parameterizer
 
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS
Alpha threshold.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer
Holds the value of HiCS.Parameterizer.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.algorithm.outlier.subspace.OutRankS1
Weighting parameter of size vs. dimensionality score.
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1.Parameterizer
Alpha parameter to balance parameters
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD
Alpha (discriminance value).
alpha - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer
Alpha (discriminance value).
alpha - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
Expected outlier rate alpha.
alpha - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Parameterizer
Expected outlier rate alpha.
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.dimensionsimilarity.HiCSDimensionSimilarity
Alpha threshold
alpha - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity.Parameterizer
Holds the value of HiCS.Parameterizer.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.math.statistics.dependence.HiCSDependenceMeasure.Parameterizer
Holds the value of HiCS.Parameterizer.ALPHA_ID .
alpha - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
Shape parameter of beta distribution
alpha - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution.Parameterizer
Parameters.
alpha - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction
Mixing parameter alpha
alpha - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Parameterizer
Alpha value
alpha - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Parameterizer
Alpha value
alpha2 - Variable in class de.lmu.ifi.dbs.elki.math.geometry.AlphaShape
Alpha shape
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.Parameterizer
Parameter for multiple node deletion to accelerate the algorithm.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer
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.Parameterizer
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.clustering.gdbscan.LSDBC.Parameterizer
Parameter for the maximum density difference.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer
Relative density threshold parameter Alpha.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer
Alpha parameter for confidence estimation.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Parameterizer
Parameter to specify the averaging neighborhood scaling.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI
Parameter to specify the averaging neighborhood scaling.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer
Parameter that determines the size of the test statistic during the Monte-Carlo iteration.
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.algorithm.outlier.subspace.OutRankS1.Parameterizer
Alpha parameter for S1
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer
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.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Parameterizer
Shape parameter.
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.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution.Parameterizer
Alpha parameter.
ALPHA_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Parameterizer
Alpha-Value for alpha-shapes Key: -hull.alpha
ALPHA_THRESHOLD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer
Parameter for the chi squared test threshold.
alphaBetaPWM(A, NumberArrayAdapter<?, A>, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.ProbabilityWeightedMoments
Compute the alpha_r and beta_r factors in parallel using the method of probability-weighted moments.
alphaExtremum - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction
Holds the alpha values of the global extremum.
alphaPWM(A, NumberArrayAdapter<?, A>, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.ProbabilityWeightedMoments
Compute the alpha_r factors using the method of probability-weighted moments.
AlphaShape - Class in de.lmu.ifi.dbs.elki.math.geometry
Compute the alpha-Shape of a point set, using Delaunay triangulation.
AlphaShape(List<Vector>, double) - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.AlphaShape
 
alphasqrt - Variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HiCSDependenceMeasure
Alpha threshold
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.
andCMax(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
AND o onto v in a copy, i.e. v & o The resulting array will have the shorter length of the two.
andCMin(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
AND o onto v in a copy, i.e. v & o The resulting array will have the shorter length of the two.
AnderbergHierarchicalClustering<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
This is a modification of the classic AGNES algorithm for hierarchical clustering using a nearest-neighbor heuristic for acceleration.
AnderbergHierarchicalClustering(DistanceFunction<? super O>, LinkageMethod) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering
Constructor.
AnderbergHierarchicalClustering.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Parameterization class
AnderbergHierarchicalClustering.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering.Parameterizer
 
AndersonDarlingTest - Class in de.lmu.ifi.dbs.elki.math.statistics.tests
Perform Anderson-Darling test for a Gaussian distribution.
AndersonDarlingTest() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.tests.AndersonDarlingTest
 
andI(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
AND o onto v inplace, i.e. v &= o
andI(long[], long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
AND o onto v inplace, i.e. v &= (o << off)
andOnto(long[]) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
Combine onto v using the AND operation, i.e.
angle(NumberVector, NumberVector, Vector) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil
Compute the angle between two vectors.
angle(NumberVector, NumberVector, NumberVector) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil
Compute the angle between two vectors.
angle(Vector, Vector) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Compute the angle between two vectors.
angle(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Compute the angle between two vectors.
angle(Vector, Vector, Vector) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Compute the angle between two vectors.
angle(double[], double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Compute the angle between two vectors.
angleSparse(SparseNumberVector, SparseNumberVector) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil
Compute the angle for sparse vectors.
AngTanLinearSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split
Line-time complexity split proposed by Ang and Tan.
AngTanLinearSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit
 
AngTanLinearSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split
Parameterization class.
AngTanLinearSplit.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit.Parameterizer
 
ANY - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Input type for algorithms that accept anything.
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, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.DoubleIntArrayList
Append a key-value pair.
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 - Variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper
Always append to the output file.
append - Variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.Parameterizer
Always append to the output file.
append(String, double...) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Append an action to the current path.
APPEND_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.Parameterizer
Append flag.
appendCauses(StringBuilder, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.ErrorFormatter
Append (pruned) stack traces for associated exceptions.
appendClassRestriction(Document, Class<?>, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
appendClassRestrictionWiki(DocumentParameters.WikiStream, Class<?>) - 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.
appendColumns(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
Returns a matrix which consists of this matrix and the specified columns.
appendCSSDefinition(StringBuilder) - 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.
appendDefaultValueWiki(DocumentParameters.WikiStream, Parameter<?>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
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, Class<?>, Element) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
appendKnownImplementationsWiki(DocumentParameters.WikiStream, Class<?>) - 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.
appendMultilineTextWiki(DocumentParameters.WikiStream, String) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
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
 
appendNoClassRestrictionWiki(DocumentParameters.WikiStream) - 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.
appendNoDefaultValueWiki(DocumentParameters.WikiStream) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
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.
appendSpace(StringBuilder, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Append whitespace to a buffer.
appendString(Object) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
Append a string in quotes
appendTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset
 
appendTo(StringBuilder, FPGrowth.FPNode.Translator) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode
Debugging function: build a text representation of the tree.
appendTo(StringBuilder, FPGrowth.FPNode.Translator, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode
Debugging function: build a text representation of the tree.
appendTo(StringBuilder, int) - Method in interface de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode.Translator
Append a single item to a buffer.
appendTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset
Append to a string buffer.
appendTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset
 
appendTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset
 
appendTo(StringBuilder, VectorFieldTypeInformation<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset
 
appendToBuffer(StringBuilder) - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon
Append the polygon to the buffer.
appendToBuffer(StringBuilder) - Method in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject
Append polygons to the buffer.
appendToBuffer(StringBuilder) - Method in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress
Serialize a description into a String buffer.
appendToBuffer(StringBuilder) - Method in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress
Append a string representation of the progress to the given string buffer.
appendToBuffer(StringBuilder) - Method in class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress
Serialize 'indefinite' progress.
appendToBuffer(StringBuilder) - Method in class de.lmu.ifi.dbs.elki.logging.progress.MutableProgress
Serialize 'indefinite' progress.
appendToBuffer(StringBuilder) - Method in interface de.lmu.ifi.dbs.elki.logging.progress.Progress
Serialize a description into a String buffer.
appendToBuffer(StringBuilder) - Method in class de.lmu.ifi.dbs.elki.logging.progress.StepProgress
 
appendZeros(StringBuilder, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Append zeros to a buffer.
apply(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Apply the transformation onto a vector
apply(double[]) - 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
applyInverse(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Apply the inverse transformation onto a vector
applyPrescaling(ScalingFunction, Relation<NumberVector>, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment
Prescale each vector (except when in skip) with the given scaling function.
applyRelative(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Apply the transformation onto a vector
applyRelative(double[]) - 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
applyRelativeInverse(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
Apply the inverse transformation onto a vector
applyScaling(double[], ScalingFunction) - Static method in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment
 
applySqrt(KNNList) - Static method in class de.lmu.ifi.dbs.elki.database.QueryUtil
Apply the square root function to each value in the list.
approx - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVACandidate
The actual approximation.
approximateBinomialCoefficient(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Binomial coefficent, also known as "n choose k").
approximateConservativeKnnDistance(int) - 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) - 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) - 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(double[]) - 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, KNNList) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Computes logarithmic skew (fractal dimension ie. m) and in kappx[0] and kappx[1] the non-logarithmic values of the approximated first and last nearest neighbor distances
approximateLowerHull(ConvexHull, double[], double, double, double[], double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Approximates the lower hull.
approximatelyLinearDependent(PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate.Instance
Returns true, if the strong eigenvectors of the two specified PCAs span up the same space.
approximateProgressiveKnnDistance(int) - 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.
approximation - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VectorApproximation
approximation (va cell ids)
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.
ApproximativeLeastOverlapInsertionStrategy - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert
The choose subtree method proposed by the R*-Tree with slightly better performance for large leaf sizes (linear approximation).
ApproximativeLeastOverlapInsertionStrategy(int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy
Constructor.
ApproximativeLeastOverlapInsertionStrategy.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert
Parameterization class.
ApproximativeLeastOverlapInsertionStrategy.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Parameterizer
 
APRIORI - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
The APRIORI algorithm for Mining Association Rules.
APRIORI(double, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
Constructor with minimum frequency.
APRIORI(double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
Constructor with minimum frequency.
APRIORI.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
Parameterization class.
APRIORI.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI.Parameterizer
 
aprioriGenerate(List<? extends Itemset>, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
Prunes a given set of candidates to keep only those BitSets where all subsets of bits flipping one bit are frequent already.
ARBITRARY_SIMILARITY - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Parameterizer
Arbitrary Similarity functions
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
 
ArccosSimilarityAdapter<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter
Adapter from a normalized similarity function to a distance function using arccos(sim).
ArccosSimilarityAdapter(NormalizedSimilarityFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.ArccosSimilarityAdapter
Constructor.
ArccosSimilarityAdapter.Instance<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter
Distance function instance
ArccosSimilarityAdapter.Instance(Relation<O>, DistanceFunction<? super O>, SimilarityQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.ArccosSimilarityAdapter.Instance
Constructor.
ArccosSimilarityAdapter.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter
Parameterization class.
ArccosSimilarityAdapter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.ArccosSimilarityAdapter.Parameterizer
 
areas - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepAreaResult
Storage
areas - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
Our clustering
areaUnderCurve(XYCurve) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve
Compute the area under curve for a curve monotonously increasing in X.
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
 
arrange(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramProjector
 
arrange(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjector
 
arrange(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ParallelPlotProjector
 
arrange(VisualizerContext) - Method in interface de.lmu.ifi.dbs.elki.visualization.projector.Projector
Produce an arrangement of projections.
arrange(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector
 
arrangeVisualizations(double, double) - 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
array - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ExtendedArray
The array
ARRAY2D_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree
Adapter class for double[][] matrixes.
ArrayAdapter<T,A> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Adapter for array-like things.
ArrayAdapterDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource
Import an existing data matrix (double[rows][cols]) into an ELKI database.
ArrayAdapterDatabaseConnection(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.datasource.ArrayAdapterDatabaseConnection
Constructor.
ArrayAdapterDatabaseConnection(double[][], String[]) - Constructor for class de.lmu.ifi.dbs.elki.datasource.ArrayAdapterDatabaseConnection
Constructor.
ArrayAdapterDatabaseConnection(double[][], String[], Integer) - Constructor for class de.lmu.ifi.dbs.elki.datasource.ArrayAdapterDatabaseConnection
Constructor.
ARRAYDBIDADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Use ArrayDBIDs as array.
ArrayDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids
Interface for array based DBIDs.
ArrayDBIDsAdapter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Use a DBID array in a generic array-like context.
ArrayDBIDsAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayDBIDsAdapter
Constructor.
ArrayDBIDStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory
A class to answer representation queries using the stored Array.
ArrayDBIDStore(int, DataStoreIDMap) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore
Constructor.
ArrayDoubleStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory
A class to answer representation queries using the stored Array.
ArrayDoubleStore(int, DataStoreIDMap) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
Constructor.
ArrayDoubleStore(int, DataStoreIDMap, double) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
Constructor.
ArrayIntegerStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory
A class to answer representation queries using the stored Array.
ArrayIntegerStore(int, DataStoreIDMap) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
Constructor.
ArrayIntegerStore(int, DataStoreIDMap, int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
Constructor.
ArrayIter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.iterator
Array iterators can also go backwards and seek.
ArrayLikeUtil - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Utility class that allows plug-in use of various "array-like" types such as lists in APIs that can take any kind of array to safe the cost of reorganizing the objects into a real array.
ArrayLikeUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Fake constructor.
ArrayListIter<O> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.iterator
ELKI style Iterator for array lists.
ArrayListIter(List<O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayListIter
Constructor.
ArrayModifiableDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids
Array-oriented implementation of a modifiable DBID collection.
ArrayModifiableIntegerDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Class using a primitive int[] array as storage.
ArrayModifiableIntegerDBIDs(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
Constructor.
ArrayModifiableIntegerDBIDs() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
Constructor.
ArrayModifiableIntegerDBIDs(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
Constructor.
ArrayModifiableIntegerDBIDs.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Iterator class.
ArrayModifiableIntegerDBIDs.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
 
ArrayModifiableIntegerDBIDs.Slice - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Slice of an array.
ArrayModifiableIntegerDBIDs.Slice(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
Constructor.
ArrayModifiableIntegerDBIDs.Slice.SliceItr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Iterator class.
ArrayModifiableIntegerDBIDs.Slice.SliceItr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
 
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.
ArrayStaticIntegerDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Static (no modifications allowed) set of Database Object IDs.
ArrayStaticIntegerDBIDs(int...) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs
Constructor.
ArrayStaticIntegerDBIDs.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
DBID iterator in ELKI/C style.
ArrayStaticIntegerDBIDs.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
 
ArrayStaticIntegerDBIDs.Slice - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Slice of an array.
ArrayStaticIntegerDBIDs.Slice(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
Constructor.
ArrayStaticIntegerDBIDs.Slice.SliceItr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Iterator class.
ArrayStaticIntegerDBIDs.Slice.SliceItr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
 
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.
asByteArray(NumberVector) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurveTransformer
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() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.AkaikeInformationCriterion
 
ascending() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterion
 
ascending() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterionZhao
 
ascending() - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.KMeansQualityMeasure
Use ascending or descending ordering.
ascending() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterMeanDistanceQualityMeasure
 
ascending() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterVarianceQualityMeasure
 
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.
AsciiDistanceParser - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Parser for parsing one distance value per line.
AsciiDistanceParser(CSVReaderFormat) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser
Constructor.
AsciiDistanceParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Parameterization class.
AsciiDistanceParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser.Parameterizer
 
asDoubleArray() - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax
Return minimum and maximum as array.
asIntArray() - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax
Return minimum and maximum as array.
asInteger(DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Export a DBID as int.
asMultipleObjectsBundle() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
 
asMultipleObjectsBundle() - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.BundleStreamSource
Return (or collect) the stream as bundle.
asMultipleObjectsBundle() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.StreamFromBundle
 
asMultipleObjectsBundle() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter
 
asMultipleObjectsBundle() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser
 
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
 
assertRange(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Assert that the presented ids constitute a continuous DBIDRange.
assertSameDimensionality(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil
Check that two spatial objects have the same dimensionality.
assertSortedByDistance(DoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner
Ensure that the results are sorted by distance.
assign(Relation<V>, DistanceQuery<V>, List<ORCLUS<V>.ORCLUSCluster>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
Creates a partitioning of the database by assigning each object to its closest seed.
assign(HashMap<String, DBIDs>, String, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
Assigns the specified id to the labelMap according to its label
assign(HashMap<String, DBIDs>, String, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelHierarchicalClustering
Assigns the specified id to the labelMap according to its label
assignBest(Assignments<E>, long[], N, double[], int[], int, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MTreeSplit
Assigns the first object of the specified list to the first assignment that it is not yet assigned to the second assignment.
assignDBID(DBIDVar) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
 
assignDBID(DBIDVar) - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.BundleStreamSource
Assign the current object ID to a DBIDVar.
assignDBID(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle
 
assignDBID(int, DBIDVar) - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.ObjectBundle
Assign the object DBID to a variable
assignDBID(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle
 
assignDBID(DBIDVar) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.StreamFromBundle
 
assignDBID(DBIDVar) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter
 
assignDBID(DBIDVar) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser
 
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.
assignment - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor
Assignment storage.
assignment - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor.Instance
Cluster assignment storage.
assignment - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.DisjointCrossValidation
Partition assignment and size.
assignment - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation
Partition assignment, sizes
Assignments<E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split
Encapsulates the attributes of an assignment during a split.
Assignments(DBID, DBID, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments
Constructor.
Assignments(int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments
Constructor.
assignPoints(ArrayDBIDs, long[][], Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Assigns the objects to the clusters.
assignProbabilitiesToInstances(Relation<? extends NumberVector>, List<? extends EMClusterModel<?>>, WritableDataStore<double[]>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM
Assigns the current probability values to the instances in the database and compute the expectation value of the current mixture of distributions.
assignRemainingToNearestCluster(ArrayDBIDs, DBIDs, DBIDs, WritableIntegerDataStore, DistanceQuery<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA
Returns a list of clusters.
assignToNearestCluster(Relation<? extends V>, List<? extends NumberVector>, List<? extends ModifiableDBIDs>, WritableIntegerDataStore, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans
Returns a list of clusters.
assignToNearestCluster(Relation<V>, DBIDs, List<? extends NumberVector>, double[][], int[], List<? extends ModifiableDBIDs>, WritableIntegerDataStore, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd
Returns a list of clusters.
assignToNearestCluster(Relation<V>, List<Vector>, List<Vector>, List<ModifiableDBIDs>, WritableIntegerDataStore, double[], double[][], WritableDoubleDataStore, WritableDataStore<double[]>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansElkan
Reassign objects, but only if their bounds indicate it is necessary to do so.
assignToNearestCluster(Relation<V>, List<Vector>, List<Vector>, List<ModifiableDBIDs>, WritableIntegerDataStore, double[], WritableDoubleDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly
Reassign objects, but only if their bounds indicate it is necessary to do so.
assignToNearestCluster(ArrayDBIDs, Mean[], List<? extends ModifiableDBIDs>, DistanceQuery<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM
Returns a list of clusters.
assignToNearestCluster(ArrayDBIDs, DBIDs, WritableDoubleDataStore, WritableDoubleDataStore, WritableIntegerDataStore, DistanceQuery<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM
Returns a list of clusters.
assignToNearestCluster(Relation<DiscreteUncertainObject>, List<Vector>, List<? extends ModifiableDBIDs>, WritableIntegerDataStore, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans
Returns a list of clusters.
assignUnassigned(Relation<V>, WritableDataStore<double[]>, List<MultivariateGaussianModel>, ModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C
Assign unassigned objects to best candidate based on shortest Mahalanobis distance.
assignVar(DBIDRef, DBIDVar) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.DBIDDataStore
Retrieves an object from the storage.
assignVar(DBIDRef, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore
 
assignVar(DBIDRef, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore
 
assignVar(int, DBIDVar) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs
Assign a DBID variable the value of position index.
assignVar(DBIDVar, int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Assign an integer value to a DBID variable.
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs
 
assignVar(DBIDVar, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
 
assignVar(int, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
 
asStream() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle
Process this bundle as stream.
assumeVectorField(Relation<V>) - Static method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil
Get the vector field type information from a relation.
atmean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
Score at the mean, for cut-off.
AtomicLongCounter - Class in de.lmu.ifi.dbs.elki.logging.statistics
Class to count events in a thread-safe counter.
AtomicLongCounter(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter
Constructor.
attachPlot(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas
Attach to a new plot, and display.
attachToRelation(Database, Relation<?>, TIntArrayList, ArrayList<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering
Build a clustering from the file result.
ATTR_ANGLE - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Rotation angle
ATTR_AXIS1 - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
First axis for rotation plane
ATTR_AXIS2 - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Second axis for rotation plane
ATTR_DENSITY - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Density correction factor
ATTR_K - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Gamma k
ATTR_MAX - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Maximum value
ATTR_MEAN - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Mean
ATTR_MIN - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Minimum value
ATTR_NAME - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Cluster nane
ATTR_SEED - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Random seed
ATTR_SIZE - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Cluster size
ATTR_STDDEV - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Standard deviation
ATTR_TEST - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Attribute to control model testing
ATTR_THETA - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Gamma theta
ATTR_VECTOR - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
Vector
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.CSVReaderFormat
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.
attributes - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
Double array storing the numerical attributes during parsing.
AttributeWiseBetaNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Project the data using a Beta distribution.
AttributeWiseBetaNormalization(List<DistributionEstimator<?>>, double) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
Constructor.
AttributeWiseBetaNormalization.Adapter - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Array adapter class for vectors.
AttributeWiseBetaNormalization.Adapter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Adapter
 
AttributeWiseBetaNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Parameterization class.
AttributeWiseBetaNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Parameterizer
 
AttributeWiseCDFNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Class to perform and undo a normalization on real vectors by estimating the distribution of values along each dimension independently, then rescaling objects to the cumulative density function (CDF) value at the original coordinate.
AttributeWiseCDFNormalization(List<DistributionEstimator<?>>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
Constructor.
AttributeWiseCDFNormalization.Adapter - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Array adapter class for vectors.
AttributeWiseCDFNormalization.Adapter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization.Adapter
 
AttributeWiseCDFNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Parameterization class.
AttributeWiseCDFNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization.Parameterizer
 
AttributeWiseErfNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Attribute-wise Normalization using the error function.
AttributeWiseErfNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseErfNormalization
Constructor.
AttributeWiseMADNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Median Absolute Deviation is used for scaling the data set as follows: First, the median, and median absolute deviation are computed in each axis.
AttributeWiseMADNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
Constructor.
AttributeWiseMeanNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Normalization designed for data with a meaningful zero: Each attribute is scaled to have the same mean (but 0 is not changed).
AttributeWiseMeanNormalization(double[]) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
Constructor.
AttributeWiseMeanNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
Constructor.
AttributeWiseMinMaxNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
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.normalization.columnwise.AttributeWiseMinMaxNormalization
Constructor.
AttributeWiseMinMaxNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Parameterization class.
AttributeWiseMinMaxNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Parameterizer
 
AttributeWiseVarianceNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Class to perform and undo a normalization on real vectors with respect to given mean and standard deviation in each dimension.
AttributeWiseVarianceNormalization(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
Constructor.
AttributeWiseVarianceNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
Constructor.
AttributeWiseVarianceNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Parameterization class.
AttributeWiseVarianceNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Parameterizer
 
auc - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.PRCurve
Area under curve
auc - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve.ROCResult
AUC value
autoEvaluateClusterings(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.AutomaticEvaluation
 
autoEvaluateOutliers(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.AutomaticEvaluation
 
automagic_format - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog
Automagic file format
AutomaticEvaluation - Class in de.lmu.ifi.dbs.elki.evaluation
Evaluator that tries to auto-run a number of evaluation methods.
AutomaticEvaluation() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.AutomaticEvaluation
 
AutomaticEvaluation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation
Parameterization class
AutomaticEvaluation.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.AutomaticEvaluation.Parameterizer
 
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.
AveragePrecisionAtK<O> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
Evaluate a distance functions performance by computing the average precision at k, when ranking the objects by distance.
AveragePrecisionAtK(DistanceFunction<? super O>, int, double, RandomFactory, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK
Constructor.
AveragePrecisionAtK.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
Parameterization class.
AveragePrecisionAtK.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer
 
AveragePrecisionEvaluation - Class in de.lmu.ifi.dbs.elki.evaluation.scores
Evaluate using average precision.
AveragePrecisionEvaluation() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.AveragePrecisionEvaluation
 
AveragePrecisionEvaluation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.scores
Parameterization class.
AveragePrecisionEvaluation.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.AveragePrecisionEvaluation.Parameterizer
 
averageSymmetricGini() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
Compute the average Gini for each cluster (in both clusterings - symmetric).
avgDistance(Vector, 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_LABEL - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
Axis label class.
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 - 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 - 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.
AxisReorderVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel
Interactive SVG-Elements for reordering the axes.
AxisReorderVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization
Constructor, adhering to
AxisReorderVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel
Instance for a particular plot.
AxisReorderVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance
Constructor.
AxisVisibilityVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel
Layer for controlling axis visbility in parallel coordinates.
AxisVisibilityVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization
Constructor, adhering to
AxisVisibilityVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel
Instance for a particular data set.
AxisVisibilityVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
Constructor.
AxisVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot
Generates a SVG-Element containing axes, including labeling.
AxisVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization
Constructor.
AxisVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot
Instance.
AxisVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization.Instance
Constructor.
axsep - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization
Space between two axes
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ELKI Version 0.7.0

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