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