R-Index (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

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All Classes All Packages

R

r - Variable in class elki.svm.solver.NuSolver
r - Variable in class elki.visualization.svg.SVGButton: Corner rounding factor.
R - Static variable in class elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction: R constant.
R - Static variable in class elki.math.statistics.kernelfunctions.CosineKernelDensityFunction: R constant.
R - Static variable in class elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction: R constant.
R - Static variable in class elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction: R constant.
R - Static variable in class elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction: R constant.
R - Static variable in class elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction: R constant.
R - Static variable in class elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction: R constant.
R - Static variable in class elki.math.statistics.kernelfunctions.UniformKernelDensityFunction: R constant.
r_square - Variable in class elki.svm.model.Model
r_square - Variable in class elki.svm.solver.Solver.SolutionInfo
r1s - Variable in class elki.clustering.kmeans.HartiganWongKMeans.Instance: The value [NC(L1) * D(I,L1)^2] / [NC(L1) -1] will be remembered and will remain the same for Point I until cluster L1 is updated.
r2 - Variable in class elki.math.geometry.SweepHullDelaunay2D.Triangle: Circumcircle parameters
R2_Qq - Class in elki.svm.qmatrix: Q matrix used by SVDD
R2_Qq(DataSet, double) - Constructor for class elki.svm.qmatrix.R2_Qq
R2q - Class in elki.svm: R2q variant
R2q(double, boolean, double, double) - Constructor for class elki.svm.R2q
RABIDEstimator - Class in elki.math.statistics.intrinsicdimensionality: Raw angle based intrinsic dimensionality (RABID) estimator.
RABIDEstimator() - Constructor for class elki.math.statistics.intrinsicdimensionality.RABIDEstimator
RABIDEstimator.Par - Class in elki.math.statistics.intrinsicdimensionality: Parameterization class.
rad2deg(double) - Static method in class elki.math.MathUtil: Radians to Degree.
RAD2DEG - Static variable in class elki.math.MathUtil: Constant for radians to degrees.
RadialBasisFunctionKernel - Class in elki.similarity.kernel: Gaussian radial basis function kernel (RBF Kernel).
RadialBasisFunctionKernel(double) - Constructor for class elki.similarity.kernel.RadialBasisFunctionKernel: Constructor.
RadialBasisFunctionKernel.Par - Class in elki.similarity.kernel: Parameterization class.
radicalInverse(long) - Method in class elki.math.statistics.distribution.HaltonUniformDistribution: Compute the radical inverse of i.
radius - Variable in class elki.application.benchmark.RangeQueryBenchmark: Query radius.
radius - Variable in class elki.application.cache.CacheDoubleDistanceRangeQueries.Par: Number of neighbors to precompute.
radius - Variable in class elki.application.cache.CacheDoubleDistanceRangeQueries: Query radius.
radius - Variable in class elki.application.statistics.RangeQuerySelectivity: Query radius
RADIUS_DISTANCE - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Margin between two rings
RADIUS_ID - Static variable in class elki.application.cache.CacheDoubleDistanceRangeQueries.Par: Parameter that specifies the query radius to precompute.
RADIUS_INNER - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Offset from center to first ring
RADIUS_OUTER - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Radius of whole CircleSegments except selection border
RADIUS_SELECTION - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Radius of highlight selection (outer ring)
RadiusCriterion - Class in elki.clustering.hierarchical.birch: Average Radius (R) criterion.
RadiusCriterion() - Constructor for class elki.clustering.hierarchical.birch.RadiusCriterion
RadiusCriterion.Par - Class in elki.clustering.hierarchical.birch: Parameterization class
RadiusDistance - Class in elki.index.tree.betula.distance: Average Radius (R) criterion.
RadiusDistance() - Constructor for class elki.index.tree.betula.distance.RadiusDistance
RadiusDistance.Par - Class in elki.index.tree.betula.distance: Parameterization class
radj - Variable in class elki.utilities.datastructures.KuhnMunkresWong: Row adjustment
ralpha - Variable in class elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter.Par: The noise tolerance level for weak eigenvectors
ralpha - Variable in class elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter: The noise tolerance level for weak eigenvectors
rand - Variable in class elki.algorithm.statistics.DistanceQuantileSampler.Par: Random generator.
rand - Variable in class elki.algorithm.statistics.DistanceQuantileSampler: Random generator.
rand - Variable in class elki.clustering.kcenter.GreedyKCenter.Par: Random factory for choosing the first element.
rand - Variable in class elki.clustering.kcenter.GreedyKCenter: Random factory for choosing the first element.
rand - Variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Instance: The random generator to draw the samples with.
rand - Variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate: The random generator to draw the samples with.
rand - Variable in class elki.datasource.filter.typeconversions.UncertainifyFilter.Par: Random generator.
rand - Variable in class elki.datasource.filter.typeconversions.UncertainifyFilter: Random generator.
randIndex() - Method in class elki.evaluation.clustering.PairCounting: Computes the Rand index (RI).
random - Variable in class elki.algorithm.statistics.AveragePrecisionAtK: Random sampling seed.
random - Variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance: Random sampling seed.
random - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par: Random source.
random - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency: Random generator seeding.
random - Variable in class elki.application.benchmark.KNNBenchmark: Random generator factory
random - Variable in class elki.application.benchmark.PrioritySearchBenchmark: Random generator factory
random - Variable in class elki.application.benchmark.RangeQueryBenchmark: Random generator factory
random - Variable in class elki.application.benchmark.ValidateApproximativeKNNIndex: Random generator factory
random - Variable in class elki.application.statistics.RangeQuerySelectivity: Random sampling seed.
random - Variable in class elki.clustering.hierarchical.birch.BIRCHKMeansPlusPlus: Random generator
random - Variable in class elki.clustering.kmeans.initialization.KMC2.Instance: Random generator
random - Variable in class elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance: Random generator
random - Variable in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Instance: Random generator
random - Variable in class elki.clustering.kmedoids.CLARA.Par: Random factory for initialization.
random - Variable in class elki.clustering.kmedoids.CLARA: Random factory for initialization.
random - Variable in class elki.clustering.kmedoids.CLARANS.Par: Random factory for initialization.
random - Variable in class elki.clustering.kmedoids.CLARANS: Random factory for initialization.
random - Variable in class elki.clustering.kmedoids.FastCLARA.Par: Random factory for initialization.
random - Variable in class elki.clustering.kmedoids.FastCLARA: Random factory for initialization.
random - Variable in class elki.clustering.kmedoids.FasterCLARA.Par: Random factory for initialization.
random - Variable in class elki.clustering.kmedoids.FasterCLARA: Random factory for initialization.
random - Variable in class elki.clustering.subspace.DOC.Par: Random seeding factory.
random - Variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par: Random factory for sampling.
random - Variable in class elki.clustering.uncertain.RepresentativeUncertainClustering: Random factory for sampling.
random - Variable in class elki.data.projection.random.AbstractRandomProjectionFamily.Par: Random generator.
random - Variable in class elki.data.projection.random.AbstractRandomProjectionFamily: Random generator.
random - Variable in class elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily: Random generator.
random - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster: Random generator (used for initializing random generators)
random - Variable in class elki.datasource.filter.selection.RandomSamplingStreamFilter: Random generator
random - Variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Par: Random generator.
random - Variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform: Random generator.
random - Variable in class elki.evaluation.classification.holdout.RandomizedHoldout.Par: The random generator.
random - Variable in class elki.evaluation.classification.holdout.RandomizedHoldout: The random generator.
random - Variable in class elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily.Par: Random generator to use.
random - Variable in class elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily: Random generator to use.
random - Variable in class elki.index.lsh.hashfamilies.CosineHashFunctionFamily.Par: Random generator to use.
random - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Par: Random number generator.
random - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory: Random number generator.
random - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Random number generator.
random - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Par: Random number generator.
random - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory: Random number generator.
random - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Random number generator.
random - Variable in class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory: Random number generator.
random - Variable in class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor: Random number generator.
random - Variable in class elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit: Random generator.
random - Variable in class elki.index.tree.metrical.vptree.GNAT.Factory.Par: Random generator
random - Variable in class elki.index.tree.metrical.vptree.GNAT.Factory: Random factory
random - Variable in class elki.index.tree.metrical.vptree.GNAT: Random factory for selecting vantage points
random - Variable in class elki.index.tree.metrical.vptree.VPTree.Factory.Par: Random generator
random - Variable in class elki.index.tree.metrical.vptree.VPTree.Factory: Random factory
random - Variable in class elki.index.tree.metrical.vptree.VPTree: Random factory for selecting vantage points
random - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch: random generator.
random - Variable in class elki.projection.SNE: Random generator
random - Variable in class elki.projection.TSNE: Random generator
random - Variable in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance: Random factory.
random(int, int, Random) - Static method in class elki.utilities.datastructures.BitsUtil: Creates a new BitSet of fixed cardinality with randomly set bits.
RANDOM - Variable in class elki.datasource.filter.transform.PerturbationFilter: Random object to generate the attribute-wise seeds for the noise.
RANDOM_ID - Static variable in class elki.clustering.correlation.LMCLUS.Par: Random seeding
RANDOM_ID - Static variable in class elki.clustering.kcenter.GreedyKCenter.Par: Parameter for the random seed
RANDOM_ID - Static variable in class elki.clustering.kmedoids.CLARA.Par: Random generator.
RANDOM_ID - Static variable in class elki.clustering.kmedoids.CLARANS.Par: Random generator.
RANDOM_ID - Static variable in class elki.clustering.kmedoids.FastCLARA.Par: Random generator.
RANDOM_ID - Static variable in class elki.clustering.kmedoids.FasterCLARA.Par: Random generator.
RANDOM_ID - Static variable in class elki.clustering.subspace.DOC.Par: Random seeding parameter.
RANDOM_ID - Static variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par: Parameter to specify the random generator.
RANDOM_ID - Static variable in class elki.data.projection.random.AbstractRandomProjectionFamily.Par: Parameter for the random generator.
RANDOM_ID - Static variable in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter.Par: Random source
RANDOM_ID - Static variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Par: Random seed generator.
RANDOM_ID - Static variable in class elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily.Par: Parameter for fixing the random seed.
RANDOM_ID - Static variable in class elki.index.lsh.hashfamilies.CosineHashFunctionFamily.Par: Parameter for fixing the random seed.
RANDOM_ID - Static variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.Par: Random seed parameter.
RANDOM_ID - Static variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Par: Parameter for choosing the number of variants to use.
RANDOM_ID - Static variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Par: Parameter for choosing the number of variants to use.
RANDOM_ID - Static variable in class elki.math.statistics.distribution.HaltonUniformDistribution.Par: Generator for random distribution parameters
RANDOM_ID - Static variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Par: Random generator seed.
RANDOM_ID - Static variable in class elki.utilities.referencepoints.RandomGeneratedReferencePoints.Par: Parameter to specify the sample size.
RANDOM_ID - Static variable in class elki.utilities.referencepoints.RandomSampleReferencePoints.Par: Parameter to specify the sample size.
randomDoubleArray(int, Random) - Static method in class elki.math.MathUtil: Produce an array of random numbers in [0:1].
RandomDoubleVectorDatabaseConnection - Class in elki.datasource: Produce a database of random double vectors with each dimension in [0:1].
RandomDoubleVectorDatabaseConnection(int, int, RandomFactory, List<? extends ObjectFilter>) - Constructor for class elki.datasource.RandomDoubleVectorDatabaseConnection: Constructor.
RandomDoubleVectorDatabaseConnection.Par - Class in elki.datasource: Parameterization class.
RandomFactory - Class in elki.utilities.random: RandomFactory is responsible for creating Random generator objects.
RandomFactory(long) - Constructor for class elki.utilities.random.RandomFactory: Constructor.
RandomGeneratedReferencePoints - Class in elki.utilities.referencepoints: Reference points generated randomly within the used data space.
RandomGeneratedReferencePoints(int, double, RandomFactory) - Constructor for class elki.utilities.referencepoints.RandomGeneratedReferencePoints: Constructor.
RandomGeneratedReferencePoints.Par - Class in elki.utilities.referencepoints: Parameterization class.
randomInitialization(double[], Random) - Method in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform: Choose a random vector of unit norm for power iterations.
randomInitialSolution(int, int, Random) - Static method in class elki.projection.SNE: Generate a random initial solution.
randomInitialSolution(int, int, Random) - Static method in class elki.projection.TSNE: Generate a random initial solution.
RandomizedCrossValidation - Class in elki.evaluation.classification.holdout: RandomizedCrossValidation provides a set of partitions of a database to perform cross-validation.
RandomizedCrossValidation(RandomFactory, int) - Constructor for class elki.evaluation.classification.holdout.RandomizedCrossValidation: Constructor for n-fold cross-validation.
RandomizedCrossValidation.Par - Class in elki.evaluation.classification.holdout: Parameterization class
RandomizedHoldout - Class in elki.evaluation.classification.holdout: A holdout providing a seed for randomized operations.
RandomizedHoldout(RandomFactory) - Constructor for class elki.evaluation.classification.holdout.RandomizedHoldout: Sets the parameter seed to the parameterToDescription map.
RandomizedHoldout.Par - Class in elki.evaluation.classification.holdout: Parameterization class
randomLatitudeLongitude(Random) - Static method in class tutorial.javaapi.GeoIndexing: Generate random coordinates.
RandomlyChosen<O> - Class in elki.clustering.kmeans.initialization: Initialize K-means by randomly choosing k existing elements as initial cluster centers.
RandomlyChosen(RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.RandomlyChosen: Constructor.
RandomlyChosen.Par<V> - Class in elki.clustering.kmeans.initialization: Parameterization class.
RandomNormalGenerated - Class in elki.clustering.kmeans.initialization: Initialize k-means by generating random vectors (normal distributed with \(N(\mu,\sigma)\) in each dimension).
RandomNormalGenerated(RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.RandomNormalGenerated: Constructor.
RandomNormalGenerated.Par - Class in elki.clustering.kmeans.initialization: Parameterization class.
RandomParameter - Class in elki.utilities.optionhandling.parameters: Parameter for random generators and/or random seeds.
RandomParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.RandomParameter: Constructor without default.
RandomParameter(OptionID, RandomFactory) - Constructor for class elki.utilities.optionhandling.parameters.RandomParameter: Constructor with default value.
randomPerAttribute - Variable in class elki.datasource.filter.transform.PerturbationFilter: The random objects to generate noise distributions independently for each attribute.
randomPermutation(int[], Random) - Static method in class elki.data.projection.random.RandomSubsetProjectionFamily: Perform a random permutation of the array, in-place.
randomPermutation(int[], Random) - Static method in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Perform a random permutation of the array, in-place.
randomPermutation(int[], Random) - Static method in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Perform a random permutation of the array, in-place.
RandomProjectedNeighborsAndDensities - Class in elki.index.preprocessed.fastoptics: Random Projections used for computing neighbors and density estimates.
RandomProjectedNeighborsAndDensities(RandomFactory) - Constructor for class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Constructor.
RandomProjectedNeighborsAndDensities.Par - Class in elki.index.preprocessed.fastoptics: Parameterization class.
RandomProjection<V extends NumberVector> - Class in elki.data.projection: Randomized projections of the data.
RandomProjection(int, RandomProjectionFamily) - Constructor for class elki.data.projection.RandomProjection: Constructor.
RandomProjection.Par - Class in elki.data.projection: Parameterization class.
RandomProjectionFamily - Interface in elki.data.projection.random: Interface for random projection families.
RandomProjectionFamily.Projection - Interface in elki.data.projection.random: Interface for projection instances (not thread safe).
randoms1 - Variable in class elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction: Random numbers for mixing the hash codes of the individual functions
randomsample - Variable in class elki.algorithm.DependencyDerivator: Flag for random sampling vs. kNN
randomSample - Variable in class elki.algorithm.DependencyDerivator.Par: Flag to enable random sampling
randomSample(DBIDs, double, RandomFactory) - Static method in class elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
randomSample(DBIDs, double, Random) - Static method in class elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
randomSample(DBIDs, int, int) - Static method in class elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
randomSample(DBIDs, int, RandomFactory) - Static method in class elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
randomSample(DBIDs, int, Long) - Static method in class elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
randomSample(DBIDs, int, Random) - Static method in class elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
randomSample(DBIDs, int, Random, DBIDs) - Static method in class elki.clustering.kmedoids.CLARA: Draw a random sample of the desired size.
randomSample(DBIDs, RandomFactory) - Static method in class elki.database.ids.DBIDUtil: Draw a single random sample.
randomSample(DBIDs, Random) - Static method in class elki.database.ids.DBIDUtil: Draw a single random sample.
randomSampleExcept(DBIDs, DBIDRef, int, RandomFactory) - Static method in class elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
randomSampleExcept(DBIDs, DBIDRef, int, Random) - Static method in class elki.database.ids.DBIDUtil: Produce a random sample of the given DBIDs.
RandomSampleKNNPreprocessor<O> - Class in elki.index.preprocessed.knn: Class that computed the kNN only on a random sample.
RandomSampleKNNPreprocessor(Relation<O>, Distance<? super O>, int, double, RandomFactory) - Constructor for class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor: Constructor.
RandomSampleKNNPreprocessor.Factory<O> - Class in elki.index.preprocessed.knn: The parameterizable factory.
RandomSampleReferencePoints - Class in elki.utilities.referencepoints: Random-Sampling strategy for picking reference points.
RandomSampleReferencePoints(int, RandomFactory) - Constructor for class elki.utilities.referencepoints.RandomSampleReferencePoints: Constructor.
RandomSampleReferencePoints.Par - Class in elki.utilities.referencepoints: Parameterization class.
RandomSamplingStreamFilter - Class in elki.datasource.filter.selection: Subsampling stream filter.
RandomSamplingStreamFilter(double, RandomFactory) - Constructor for class elki.datasource.filter.selection.RandomSamplingStreamFilter: Constructor.
RandomSamplingStreamFilter.Par - Class in elki.datasource.filter.selection: Parameterization class
RANDOMSEED_ID - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection.Par: Parameter to give the configuration file
randomShuffle(byte[], Random, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Random shuffle (part) of an array.
randomShuffle(double[], Random, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Random shuffle (part) of an array.
randomShuffle(float[], Random, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Random shuffle (part) of an array.
randomShuffle(int[], Random, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Random shuffle (part) of an array.
randomShuffle(int, double[]) - Method in class elki.application.experiments.ORLibBenchmark: Random shuffle of the matrix.
randomShuffle(short[], Random, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Random shuffle (part) of an array.
randomShuffle(ArrayModifiableDBIDs, RandomFactory) - Static method in class elki.database.ids.DBIDUtil: Produce a random shuffling of the given DBID array.
randomShuffle(ArrayModifiableDBIDs, Random) - Static method in class elki.database.ids.DBIDUtil: Produce a random shuffling of the given DBID array.
randomShuffle(ArrayModifiableDBIDs, Random, int) - Static method in class elki.database.ids.DBIDUtil: Produce a random shuffling of the given DBID array.
randomShuffle(ArrayList<T>, Random, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Random shuffle (part) of an array.
randomShuffle(T[], Random, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Random shuffle (part) of an array.
randomSlice(Random, MCDETest.RankStruct) - Method in class elki.math.statistics.dependence.MCDEDependence: Bivariate data slicing
randomSlice(Random, MCDETest.RankStruct[], int, int) - Method in class elki.math.statistics.dependence.MCDEDependence: Multivariate data slicing
randomSplit(DBIDs, int, RandomFactory) - Static method in class elki.database.ids.DBIDUtil: Randomly split IDs into p partitions of almost-equal size.
randomSplit(DBIDs, int, Random) - Static method in class elki.database.ids.DBIDUtil: Randomly split IDs into p partitions of almost-equal size.
RandomSplit<E extends MTreeEntry,N extends AbstractMTreeNode<?,N,E>> - Class in elki.index.tree.metrical.mtreevariants.strategies.split: Encapsulates the required methods for a split of a node in an M-Tree.
RandomSplit(DistributionStrategy, RandomFactory) - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit: Constructor.
RandomStableDistance - Class in elki.distance: This is a dummy distance providing random values (obviously not metrical), useful mostly for unit tests and baseline evaluations: obviously this distance provides no benefit whatsoever.
RandomStableDistance(long) - Constructor for class elki.distance.RandomStableDistance: Constructor.
RandomStableDistance.Par - Class in elki.distance: Parameterization class.
RandomSubsetProjectionFamily - Class in elki.data.projection.random: Random projection family based on selecting random features.
RandomSubsetProjectionFamily(RandomFactory) - Constructor for class elki.data.projection.random.RandomSubsetProjectionFamily: Constructor.
RandomSubsetProjectionFamily.Par - Class in elki.data.projection.random: Parameterization class.
RandomSubsetProjectionFamily.SubsetProjection - Class in elki.data.projection.random: Random subset projection.
randomSubspace(int, int, int, Random) - Method in class elki.outlier.meta.FeatureBagging: Choose a random subspace.
RandomUniformGenerated - Class in elki.clustering.kmeans.initialization: Initialize k-means by generating random vectors (uniform, within the value range of the data set).
RandomUniformGenerated(RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.RandomUniformGenerated: Constructor.
RandomUniformGenerated.Par - Class in elki.clustering.kmeans.initialization: Parameterization class.
randomVector(NumberVector.Factory<V>, int) - Static method in class elki.data.VectorUtil: Produce a new vector based on random numbers in [0:1].
randomVector(NumberVector.Factory<V>, int, Random) - Static method in class elki.data.VectorUtil: Produce a new vector based on random numbers in [0:1].
range - Variable in class elki.database.query.distance.DBIDRangeDistanceQuery: The DBID range we are accessing.
range - Variable in class elki.datasource.parser.ClusteringVectorParser: Range of the DBID values.
range - Variable in class elki.result.RangeSelection: Selection range
range(int, int) - Static method in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Initialize an integer value range.
range(int, int) - Static method in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Initialize an integer value range.
RANGE_CACHE_MAGIC - Static variable in class elki.application.cache.CacheDoubleDistanceRangeQueries: Magic number to identify files.
rangeByDBID() - Method in class elki.database.query.QueryBuilder: Build a range query; if possible also give a maximum query radius.
rangeByDBID(double) - Method in class elki.database.query.QueryBuilder: Build a range query with maximum radius.
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.laesa.LAESA
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.projected.ProjectedIndex
rangeByDBID(DistanceQuery<O>, double, int) - Method in interface elki.index.RangeIndex: Get a range query object for the given distance query and k.
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.covertree.CoverTree
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.vptree.GNAT
rangeByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.vptree.VPTree
rangeByDBID(Relation<? extends O>, DistanceQuery<O>, double, int) - Method in class elki.database.query.EmpiricalQueryOptimizer
rangeByDBID(Relation<? extends O>, DistanceQuery<O>, double, int) - Method in interface elki.database.query.QueryOptimizer: Optimize a range query for this relation.
rangeByObject() - Method in class elki.database.query.QueryBuilder: Build a range query; if possible also give a maximum query radius.
rangeByObject(double) - Method in class elki.database.query.QueryBuilder: Build a range query with maximum radius.
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix
rangeByObject(DistanceQuery<O>, double, int) - Method in interface elki.index.DistancePriorityIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.idistance.InMemoryIDistanceIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.laesa.LAESA
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.projected.LatLngAsECEFIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.projected.LngLatAsECEFIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.projected.ProjectedIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in interface elki.index.RangeIndex: Get a range query object for the given distance query and k.
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.covertree.CoverTree
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.vptree.GNAT
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.vptree.VPTree
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.kd.MemoryKDTree
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
rangeByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
rangeByObject(DistanceQuery<V>, double, int) - Method in class elki.index.invertedlist.InMemoryInvertedIndex
rangeByObject(DistanceQuery<V>, double, int) - Method in class elki.index.lsh.InMemoryLSHIndex.Instance
rangeByObject(DistanceQuery<V>, double, int) - Method in class elki.index.vafile.PartialVAFile
rangeByObject(DistanceQuery<V>, double, int) - Method in class elki.index.vafile.VAFile
rangeByObject(Relation<? extends O>, DistanceQuery<O>, double, int) - Method in class elki.database.query.EmpiricalQueryOptimizer
rangeByObject(Relation<? extends O>, DistanceQuery<O>, double, int) - Method in interface elki.database.query.QueryOptimizer: Optimize a range query for this relation.
RangeIndex<O> - Interface in elki.index: Index with support for range queries (radius queries).
rangeQueries - Variable in class elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics: For counting the number of range queries answered.
rangeQueries - Variable in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics: For counting the number of range queries answered.
rangeQuery - Variable in class elki.clustering.dbscan.DBSCAN.Instance: Range query to use.
rangeQuery - Variable in class elki.clustering.optics.OPTICSHeap.Instance: Range query.
rangeQuery - Variable in class elki.clustering.optics.OPTICSList.Instance: Range query.
RangeQueryBenchmark<O extends NumberVector> - Class in elki.application.benchmark: Benchmarking algorithm that computes a range query for each point.
RangeQueryBenchmark(InputStep, Distance<? super O>, double, double, RandomFactory) - Constructor for class elki.application.benchmark.RangeQueryBenchmark: Constructor.
RangeQueryBenchmark(InputStep, Distance<? super O>, DatabaseConnection, double, RandomFactory) - Constructor for class elki.application.benchmark.RangeQueryBenchmark: Constructor.
RangeQuerySelectivity<V extends NumberVector> - Class in elki.application.statistics: Evaluate the range query selectivity.
RangeQuerySelectivity(InputStep, Distance<? super V>, double, double, RandomFactory) - Constructor for class elki.application.statistics.RangeQuerySelectivity: Constructor.
ranges - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch: Database ranges.
RangeSearcher<O> - Interface in elki.database.query.range: The interface for range queries, that can return all objects within the specified radius.
RangeSelection - Class in elki.result: Class representing selected Database-IDs and/or a selection range.
RangeSelection(DBIDs) - Constructor for class elki.result.RangeSelection: Constructor.
RangeSelection(DBIDs, ModifiableHyperBoundingBox) - Constructor for class elki.result.RangeSelection: Constructor.
rank - Variable in class elki.math.linearalgebra.LinearEquationSystem: The rank of the coefficient matrix.
rank() - Method in class elki.math.linearalgebra.SingularValueDecomposition: Effective numerical matrix rank
rank(double) - Method in class elki.math.linearalgebra.QRDecomposition: Get the matrix rank?
RANKING - Static variable in class elki.result.EvaluationResult: Result name for aggregating ranking evaluations.
RankingPseudoOutlierScaling - Class in elki.utilities.scaling.outlier: This is a pseudo outlier scoring obtained by only considering the ranks of the objects.
RankingPseudoOutlierScaling() - Constructor for class elki.utilities.scaling.outlier.RankingPseudoOutlierScaling
RankingQualityHistogram<O> - Class in elki.algorithm.statistics: Evaluate a distance function with respect to kNN queries.
RankingQualityHistogram(Distance<? super O>, int) - Constructor for class elki.algorithm.statistics.RankingQualityHistogram: Constructor.
rankReferencePoints(DistanceQuery<O>, O, ArrayDBIDs) - Static method in class elki.index.idistance.InMemoryIDistanceIndex: Sort the reference points by distance to the query object
ranks(NumberArrayAdapter<?, A>, A, int) - Static method in class elki.math.statistics.dependence.Dependence.Utils: Compute ranks of all objects, ranging from 1 to len.
ranks(NumberArrayAdapter<?, A>, A, int[]) - Static method in class elki.math.statistics.dependence.Dependence.Utils: Compute ranks of all objects, ranging from 1 to len.
RankStruct(int[]) - Constructor for class elki.math.statistics.dependence.mcde.MCDETest.RankStruct: Constructor.
RANSACCovarianceMatrixBuilder - Class in elki.math.linearalgebra.pca: RANSAC based approach to a more robust covariance matrix computation.
RANSACCovarianceMatrixBuilder(int, RandomFactory) - Constructor for class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder: Constructor.
RANSACCovarianceMatrixBuilder.Par - Class in elki.math.linearalgebra.pca: Parameterization class
rate - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par: Expected rate of outliers
rate - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment: Expected rate of outliers.
rate - Variable in class elki.clustering.kmeans.initialization.SampleKMeans: Sample size.
rate - Variable in class elki.clustering.kmeans.KMeansMinusMinus.Par: Outlier rate.
rate - Variable in class elki.clustering.kmeans.KMeansMinusMinus: Outlier rate.
rate - Variable in class elki.math.statistics.distribution.ExponentialDistribution.Par: Parameters.
rate - Variable in class elki.math.statistics.distribution.ExponentialDistribution: Rate, inverse of mean
rate - Variable in class elki.math.statistics.distribution.LaplaceDistribution.Par: Parameters.
rate - Variable in class elki.math.statistics.distribution.LaplaceDistribution: Rate, inverse of mean
RATE_ID - Static variable in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par: Expected rate of outliers
RATE_ID - Static variable in class elki.clustering.kmeans.KMeansMinusMinus.Par: Parameter to specify the number of neighbors to ignore.
RATE_ID - Static variable in class elki.math.statistics.distribution.ExponentialDistribution.Par: Shape parameter gamma.
RATE_ID - Static variable in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Par: Rate option, same as ExponentialDistribution.Par.RATE_ID.
RATE_ID - Static variable in class elki.math.statistics.distribution.LaplaceDistribution.Par: Shape parameter gamma.
ratems - Variable in class elki.logging.progress.AbstractProgress: Last rate.
ratio - Variable in class elki.result.ExportVisualizations.Par: Ratio for canvas
ratio - Variable in class elki.result.ExportVisualizations: Ratio for canvas
ratio - Variable in class elki.visualization.gui.detail.DetailView: Ratio of this view.
ratio - Variable in class elki.visualization.gui.overview.OverviewPlot: Screen ratio
ratio - Variable in class elki.visualization.gui.overview.RectangleArranger: Target height/width ratio
ratio - Variable in class elki.visualization.opticsplot.OPTICSPlot: Ratio of plot
ratio - Variable in class elki.visualization.parallel3d.util.Simple1DOFCamera: Screen ratio
ratio - Variable in class elki.visualization.savedialog.SaveOptionsPanel: Ratio for easier size adjustment
ratio - Variable in class elki.visualization.silhouette.SilhouettePlot: Ratio of plot
RATIO_ID - Static variable in class elki.result.ExportVisualizations.Par: Parameter to specify the canvas ratio
RationalQuadraticKernel - Class in elki.similarity.kernel: Rational quadratic kernel, a less computational approximation of the Gaussian RBF kernel (RadialBasisFunctionKernel).
RationalQuadraticKernel(double) - Constructor for class elki.similarity.kernel.RationalQuadraticKernel: Constructor.
RationalQuadraticKernel.Par - Class in elki.similarity.kernel: Parameterization class.
rawdist - Variable in class elki.database.query.knn.LinearScanPrimitiveKNNByObject: Unboxed distance function.
rawdist - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.PrioritySearchBranch: Minimum distance ("raw", e.g., squared)
rawLogProbability(double, double) - Static method in class elki.math.statistics.distribution.PoissonDistribution: Poisson distribution probability, but also for non-integer arguments.
rawProbability(double, double) - Static method in class elki.math.statistics.distribution.PoissonDistribution: Poisson distribution probability, but also for non-integer arguments.
rawQuantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.BetaDistribution: Raw quantile function
RayleighDistribution - Class in elki.math.statistics.distribution: Rayleigh distribution, a special case of the Weibull distribution.
RayleighDistribution(double) - Constructor for class elki.math.statistics.distribution.RayleighDistribution: Constructor.
RayleighDistribution(double, double) - Constructor for class elki.math.statistics.distribution.RayleighDistribution: Constructor.
RayleighDistribution.Par - Class in elki.math.statistics.distribution: Parameterization class
RayleighLMMEstimator - Class in elki.math.statistics.distribution.estimator: Estimate the scale parameter of a (non-shifted) RayleighDistribution using the method of L-Moments (LMM).
RayleighLMMEstimator() - Constructor for class elki.math.statistics.distribution.estimator.RayleighLMMEstimator: Constructor.
RayleighLMMEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
RayleighMADEstimator - Class in elki.math.statistics.distribution.estimator: Estimate the parameters of a RayleighDistribution using the MAD.
RayleighMADEstimator() - Constructor for class elki.math.statistics.distribution.estimator.RayleighMADEstimator: Constructor.
RayleighMADEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
RayleighMLEEstimator - Class in elki.math.statistics.distribution.estimator: Estimate the scale parameter of a (non-shifted) RayleighDistribution using a maximum likelihood estimate.
RayleighMLEEstimator() - Constructor for class elki.math.statistics.distribution.estimator.RayleighMLEEstimator: Constructor.
RayleighMLEEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
RBF - elki.outlier.svm.LibSVMOneClassOutlierDetection.SVMKernel
RC - elki.visualization.svg.SVGSimpleLinearAxis.Alignment
Rdiag - Variable in class elki.math.linearalgebra.QRDecomposition: Array for internal storage of diagonal of R.
RdKNNDirectoryEntry - Class in elki.index.tree.spatial.rstarvariants.rdknn: Represents an entry in a directory node of an RdKNN-Tree.
RdKNNDirectoryEntry() - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry: Empty constructor for serialization purposes.
RdKNNDirectoryEntry(int, ModifiableHyperBoundingBox, double) - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry: Constructs a new RDkNNDirectoryEntry object with the given parameters.
RdKNNEntry - Interface in elki.index.tree.spatial.rstarvariants.rdknn: Defines the requirements for an entry in an RdKNN-Tree node.
RdKNNLeafEntry - Class in elki.index.tree.spatial.rstarvariants.rdknn: Represents an entry in a leaf node of an RdKNN-Tree.
RdKNNLeafEntry() - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry: Empty constructor for serialization purposes.
RdKNNLeafEntry(DBID, NumberVector, double) - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry: Constructs a new RDkNNLeafEntry object with the given parameters.
RdKNNNode - Class in elki.index.tree.spatial.rstarvariants.rdknn: Represents a node in a RDkNN-Tree.
RdKNNNode() - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode: Empty constructor for Externalizable interface.
RdKNNNode(int, boolean) - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode: Creates a new RdKNNNode object.
RdkNNSettings - Class in elki.index.tree.spatial.rstarvariants.rdknn: Settings for the RdKNN Tree.
RdkNNSettings(int, SpatialPrimitiveDistance<NumberVector>) - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdkNNSettings: Constructor.
RdKNNTree<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.rdknn: RDkNNTree is a spatial index structure based on the concepts of the R*-Tree supporting efficient processing of reverse k nearest neighbor queries.
RdKNNTree(Relation<O>, PageFile<RdKNNNode>, RdkNNSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Constructor.
RdKNNTreeFactory<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.rdknn: Factory for RdKNN R*-Trees.
RdKNNTreeFactory(PageFileFactory<?>, RdkNNSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory: Constructor.
RdKNNTreeFactory.Par<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.rdknn: Parameterization class.
RdKNNTreeHeader - Class in elki.index.tree.spatial.rstarvariants.rdknn: Encapsulates the header information of a RDkNN-Tree.
RdKNNTreeHeader() - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader: Empty constructor for serialization.
RdKNNTreeHeader(int, int, int, int, int, int) - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader: Creates a new header with the specified parameters.
reachability - Variable in class elki.clustering.optics.ClusterOrder: Reachability storage.
reachability - Variable in class elki.clustering.optics.GeneralizedOPTICS.Instance: Reachability storage.
reachability - Variable in class elki.clustering.optics.OPTICSHeapEntry: The reachability of the entry.
reachability - Variable in class elki.clustering.optics.OPTICSList.Instance: Reachability storage.
REACHABILITY_DISTANCE_FUNCTION_ID - Static variable in class elki.outlier.lof.FlexibleLOF.Par: The distance function to determine the reachability distance between database objects.
reachabilityDistance - Variable in class elki.outlier.lof.FlexibleLOF.Par: Reachability distance function.
reachabilityDistance - Variable in class elki.outlier.lof.FlexibleLOF: Reachability distance function.
reachabilityDistance - Variable in class elki.outlier.lof.LoOP: Distance function for reachability.
reachDist - Variable in class elki.clustering.optics.FastOPTICS: Result: reachability distances
read() - Method in class elki.utilities.io.ByteBufferInputStream
read(byte[], int, int) - Method in class elki.utilities.io.ByteBufferInputStream
readAccess - Variable in class elki.persistent.AbstractPageFile: The read I/O-Access of this file.
readDouble(byte[], int) - Static method in class elki.utilities.io.ByteArrayUtil: Read a double from the byte array at the given offset.
readEdges(int, TokenizedReader, Tokenizer) - Static method in class elki.application.experiments.ORLibBenchmark: Load the edge list.
readEmptyPages(FileChannel) - Method in class elki.index.tree.TreeIndexHeader: Read the empty pages from the end of file.
reader - Variable in class elki.datasource.parser.AbstractStreamingParser: Tokenized reader.
reader - Variable in class elki.distance.external.AsciiDistanceParser: Tokenized reader.
reader - Variable in class elki.utilities.io.BufferedLineReader: Line reader.
readExternal(ObjectInput) - Method in class elki.data.HyperBoundingBox: The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class elki.index.tree.AbstractNode: Reads the id of this node, the numEntries and the entries array from the specified stream.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry: Calls the super method and reads the the polynomial approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry: Calls the super method and reads the the polynomial approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation: The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine: The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry: Calls the super method and reads the the conservative approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: Calls the super method and reads the the conservative and progressive approximation of the knn distances of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry: Calls the super method and reads the knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry: Calls the super method and reads the knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry: Calls the super method and reads the parameter k_max and knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry: Calls the super method and reads the parameter k_max and knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Calls the super method and reads the routingObjectID, the parentDistance and the coveringRadius of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.metrical.mtreevariants.MTreeLeafEntry
readExternal(ObjectInput) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode: Reads the id of this node, the numEntries and the entries array from the specified stream.
readExternal(ObjectInput) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry: Calls the super method and reads the knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry: Calls the super method and reads the knn distance of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.spatial.SpatialDirectoryEntry: Calls the super method and reads the MBR object of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.index.tree.spatial.SpatialPointLeafEntry: Calls the super method and reads the values of this entry from the specified input stream.
readExternal(ObjectInput) - Method in class elki.persistent.AbstractExternalizablePage: The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.
readFloat(byte[], int) - Static method in class elki.utilities.io.ByteArrayUtil: Read a float from the byte array at the given offset.
readHeader(BufferedReader) - Method in class elki.datasource.parser.ArffParser: Read the dataset header part of the ARFF file, to ensure consistency.
readHeader(ByteBuffer) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader: Initializes this header from the specified file.
readHeader(ByteBuffer) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader: Initializes this header from the specified file.
readHeader(ByteBuffer) - Method in class elki.index.tree.TreeIndexHeader: Initializes this header from the specified file.
readHeader(ByteBuffer) - Method in class elki.persistent.DefaultPageHeader: Initializes this header from the given Byte array.
readHeader(ByteBuffer) - Method in interface elki.persistent.PageHeader: Initializes this header from the specified file.
readHeader(FileChannel) - Method in interface elki.persistent.PageHeader: Read the header from an input file.
readInt(byte[], int) - Static method in class elki.utilities.io.ByteArrayUtil: Read an integer from the byte array at the given offset.
readLine(Appendable) - Method in class elki.utilities.io.LineReader: Read a line into the given buffer.
readLong(byte[], int) - Static method in class elki.utilities.io.ByteArrayUtil: Read a long from the byte array at the given offset.
readMeta() - Method in class elki.datasource.bundle.BundleReader: Read the metadata.
readObject() - Method in class elki.datasource.bundle.BundleReader: Read an object.
readPage(int) - Method in class elki.persistent.LRUCache: Retrieves a page from the cache.
readPage(int) - Method in class elki.persistent.MemoryPageFile
readPage(int) - Method in class elki.persistent.OnDiskArrayPageFile: Reads the page with the given id from this file.
readPage(int) - Method in interface elki.persistent.PageFile: Reads the page with the given id from this file.
readPage(int) - Method in class elki.persistent.PersistentPageFile: Reads the page with the given id from this file.
readShort(byte[], int) - Static method in class elki.utilities.io.ByteArrayUtil: Read a short from the byte array at the given offset.
readSignedVarint(ByteBuffer) - Static method in class elki.utilities.io.ByteArrayUtil: Read a signed integer.
readSignedVarintLong(ByteBuffer) - Static method in class elki.utilities.io.ByteArrayUtil: Read a signed long.
readString(ByteBuffer) - Static method in class elki.utilities.io.ByteArrayUtil: Read a string from the buffer.
readUnsignedShort(byte[], int) - Static method in class elki.utilities.io.ByteArrayUtil: Read an unsigned short from the byte array at the given offset.
readUnsignedVarint(ByteBuffer) - Static method in class elki.utilities.io.ByteArrayUtil: Read an unsigned integer.
readUnsignedVarintLong(ByteBuffer) - Static method in class elki.utilities.io.ByteArrayUtil: Read an unsigned long.
realSearch(O) - Method in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher: The real search function.
realSearch(O) - Method in class elki.database.query.distance.LinearScanPrioritySearcher: Implementation of the search function.
rearrange(double[]) - Method in class elki.visualization.projections.AbstractSimpleProjection: Method to rearrange components.
rearrange(double[]) - Method in class elki.visualization.projections.Simple1D
rearrange(double[]) - Method in class elki.visualization.projections.Simple2D
reassign - Variable in class elki.datasource.GeneratorXMLDatabaseConnection.Par: Pattern for clusters to reassign.
reassign - Variable in class elki.datasource.GeneratorXMLDatabaseConnection: Pattern for clusters to reassign.
REASSIGN_DISTANCE_ID - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection.Par: Reassign by cluster distance
REASSIGN_ID - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection.Par: Parameter for cluster reassignment
reassignByDistance - Variable in class elki.datasource.GeneratorXMLDatabaseConnection.Par: Reassign by distance, not density.
reassignByDistance - Variable in class elki.datasource.GeneratorXMLDatabaseConnection: Reassign objects by distance instead of density
reassignToNearestCluster(IntegerDataStore, WritableIntegerDataStore, ArrayDBIDs, int, DBIDRef) - Method in class elki.clustering.silhouette.PAMSIL.Instance: Assign each object to the nearest cluster when replacing one medoid.
rebuildstat - Variable in class elki.index.tree.betula.CFTree: Number of tree rebuilds
rebuildTree() - Method in class elki.clustering.hierarchical.birch.CFTree: Rebuild the CFTree to condense it to approximately half the size.
rebuildTree() - Method in class elki.index.tree.betula.CFTree: Rebuild the CFTree to condense it to approximately half the size.
recalcAxisPositions() - Method in class elki.visualization.visualizers.parallel.AbstractParallelVisualization: Recalculate axis positions, in particular after projection changes.
recalcViewbox() - Method in class elki.visualization.gui.overview.OverviewPlot: Recompute the view box of the plot.
recall() - Method in class elki.evaluation.clustering.BCubed: Get the BCubed Recall (first clustering) (normalized, 0 = unequal)
recall() - Method in class elki.evaluation.clustering.PairCounting: Computes the pair-counting recall.
recDrawEdges(SVGPath, double, double, List<double[]>, long[]) - Static method in class elki.visualization.svg.SVGHyperCube: Recursive helper for hypercube drawing.
recDrawSides(SVGPlot, Element, String, double, double, List<double[]>, long[]) - Static method in class elki.visualization.svg.SVGHyperCube: Recursive helper for hypercube drawing.
recombineOptimized(AggarwalYuEvolutionary.Individuum, AggarwalYuEvolutionary.Individuum) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch: Recombination method.
RECOMMENDED - Static variable in annotation type elki.utilities.Priority: Recommended implementations.
recompute(DBIDRef, int, double, int, double) - Method in class elki.clustering.kmedoids.CLARANS.Assignment: Recompute the assignment of one point.
recomputeCovarianceMatrices(Relation<? extends O>, WritableDataStore<double[]>, List<? extends EMClusterModel<? super O, ?>>, double) - Static method in class elki.clustering.em.EM: Recompute the covariance matrixes.
recomputeCovarianceMatrices(ArrayList<? extends ClusterFeature>, Map<ClusterFeature, double[]>, List<? extends BetulaClusterModel>, double, int) - Method in class elki.clustering.em.BetulaGMM: Recompute the covariance matrixes.
recomputeLOFs(DBIDs, FlexibleLOF.LOFResult<O>) - Method in class elki.outlier.lof.OnlineLOF.LOFKNNListener: Recomputes the lofs of the specified ids.
recomputeSeperation(double[]) - Method in class elki.clustering.kmeans.HamerlyKMeans.Instance: Recompute the separation of cluster means.
recomputeSeperation(double[]) - Method in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance: Recompute the separation of cluster means.
recomputeSeperation(double[][], double[][]) - Method in class elki.clustering.kmeans.CompareMeans.Instance: Recompute the separation of cluster means.
recomputeSeperation(double[], double[][]) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Recompute the separation of cluster means.
recomputeSeperation(double[], double[][]) - Method in class elki.clustering.kmeans.spherical.SphericalElkanKMeans.Instance: Recompute the separation of cluster means.
recomputeVariance(Relation<? extends NumberVector>) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Recompute the cluster variances.
recomputeVariance(Relation<? extends NumberVector>) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
reconfigureLogging(String, String) - Static method in class elki.logging.LoggingConfiguration: Reconfigure logging.
reconstruct_gradient() - Method in class elki.svm.solver.Solver
Record() - Constructor for class elki.clustering.silhouette.FastMSC.Record
recordsize - Variable in class elki.persistent.OnDiskArray: Size of the records in the file.
RecordStore - Interface in elki.database.datastore: Represents a storage which stores multiple values per object in a record fashion.
RectangleArranger<T> - Class in elki.visualization.gui.overview: This is a rather naive rectangle arrangement class.
RectangleArranger(double) - Constructor for class elki.visualization.gui.overview.RectangleArranger: Constructor.
RectangleArranger(double, double) - Constructor for class elki.visualization.gui.overview.RectangleArranger: Constructor.
RECTANGULAR - elki.visualization.visualizers.visunproj.DendrogramVisualization.DrawingStyle
recursiveBuildMenu(Collection<JMenuItem>, Object, Hierarchy<Object>, Projection) - Method in class elki.visualization.gui.ResultWindow.DynamicMenu
recursiveLogResult(StringBuilder, Object, int) - Method in class elki.result.LogResultStructureResultHandler: Recursively walk through the result tree.
recursivelyFill(List<List<? extends Cluster<?>>>) - Method in class elki.evaluation.clustering.pairsegments.Segments
recursivelyFill(List<List<? extends Cluster<?>>>, int, SetDBIDs, SetDBIDs, int[], boolean) - Method in class elki.evaluation.clustering.pairsegments.Segments
redraw() - Method in class elki.visualization.gui.detail.DetailView
redraw() - Method in class elki.visualization.gui.VisualizationPlot: Redraw all pending updates.
redrawSelection() - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
reduceConstraints(double[], double[], double[], double[], ConstrainedQuadraticProblemSolver.DimensionState[], ConstrainedQuadraticProblemSolver.DimensionState[], int) - Static method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver: Reduces the constrains to a problem with dim-1
reducedRowEchelonForm - Variable in class elki.math.linearalgebra.LinearEquationSystem: Indicates if linear equation system is in reduced row echelon form.
reducedRowEchelonForm(int) - Method in class elki.math.linearalgebra.LinearEquationSystem: Brings this linear equation system into reduced row echelon form with choice of pivot method.
reduceEquation(double[][], double[], double, double[][], double[], int, double) - Static method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver: Reduces the equation/function the a problem with dim-1
reduceMemory() - Method in class elki.itemsetmining.FPGrowth.FPNode: Release the memory occupied for the parent-to-child navigation, which is no longer needed after building the tree (only child-to-parent is needed in extracting itemsets).
reduceSolution(double[], int) - Method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver: Reduce the solution to a problem with dim-1
Reference - Annotation Type in elki.utilities.documentation: Annotation to specify a reference.
REFERENCE - Static variable in class elki.application.AbstractApplication: Information for citation and version.
REFERENCE_ID - Static variable in class elki.evaluation.clustering.EvaluateClustering.Par: Parameter to obtain the reference clustering.
REFERENCE_POINTS - Static variable in interface elki.visualization.style.StyleLibrary: Reference points color and size
REFERENCE_VERSION - Static variable in class elki.application.AbstractApplication: Version number of the reference below.
referencealg - Variable in class elki.evaluation.clustering.EvaluateClustering.Par: Reference algorithm.
referencealg - Variable in class elki.evaluation.clustering.EvaluateClustering: Reference algorithm.
ReferenceBasedOutlierDetection - Class in elki.outlier.distance: Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.
ReferenceBasedOutlierDetection(int, NumberVectorDistance<? super NumberVector>, ReferencePointsHeuristic) - Constructor for class elki.outlier.distance.ReferenceBasedOutlierDetection: Constructor with parameters.
ReferenceBasedOutlierDetection.Par - Class in elki.outlier.distance: Parameterization class.
ReferenceClustering<M extends Model> - Class in elki.clustering.trivial: Reference clustering.
ReferenceClustering() - Constructor for class elki.clustering.trivial.ReferenceClustering: Constructor.
referenceDistance - Variable in class elki.outlier.lof.FlexibleLOF: Neighborhood distance function.
referencepoints - Variable in class elki.index.idistance.InMemoryIDistanceIndex: Reference points.
ReferencePointsHeuristic - Interface in elki.utilities.referencepoints: Simple Interface for an heuristic to pick reference points.
ReferencePointsResult<O> - Class in elki.result: Result used in passing the reference points to the visualizers.
ReferencePointsResult(Collection<O>) - Constructor for class elki.result.ReferencePointsResult: Constructor with collection only.
ReferencePointsResult(Collection<O>, Collection<String>) - Constructor for class elki.result.ReferencePointsResult: Full constructor.
ReferencePointsVisualization - Class in elki.visualization.visualizers.scatterplot: The actual visualization instance, for a single projection
ReferencePointsVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.ReferencePointsVisualization: Constructor.
ReferencePointsVisualization.Instance - Class in elki.visualization.visualizers.scatterplot: Instance.
References - Annotation Type in elki.utilities.documentation: Container annotation to store multiple Reference annotations.
refine(DBID) - Method in class elki.index.AbstractRefiningIndex: Refine a given object (and count the refinement!).
refine(DBIDRef, O) - Method in class elki.index.AbstractRefiningIndex.AbstractRefiningQuery: Refinement distance computation.
refine_truth - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment: Variant, where the truth vector is also updated.
refinements - Variable in class elki.index.AbstractRefiningIndex: Refinement counter.
refinements - Variable in class elki.index.projected.ProjectedIndex: Count the number of distance refinements computed.
refinements - Variable in class elki.index.vafile.PartialVAFile.Statistics
refineResult(Relation<V>, double[][], List<ModifiableDBIDs>, WritableDataStore<SameSizeKMeans.Meta>, ArrayModifiableDBIDs) - Method in class tutorial.clustering.SameSizeKMeans: Perform k-means style iterations to improve the clustering result.
refp - Variable in class elki.index.laesa.LAESA: Reference points
refp - Variable in class elki.outlier.distance.ReferenceBasedOutlierDetection.Par: Stores the reference point strategy
refp - Variable in class elki.outlier.distance.ReferenceBasedOutlierDetection: Stores the reference point strategy.
REFP_ID - Static variable in class elki.outlier.distance.ReferenceBasedOutlierDetection.Par: Parameter for the reference points heuristic.
REFPOINT - Static variable in class elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance: Generic tag to indicate the type of element.
refrelation - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix: Data relation.
refresh() - Method in class elki.visualization.gui.detail.DetailView: Do a refresh (when visibilities have changed).
refresh() - Method in class elki.visualization.gui.overview.OverviewPlot: Do a refresh (when visibilities have changed).
refreshThumbnail() - Method in class elki.visualization.visualizers.thumbs.ThumbnailVisualization
register(Class<?>, Class<?>) - Static method in class elki.utilities.ELKIServiceRegistry: Register a class in the registry.
register(Class<?>, String) - Static method in class elki.utilities.ELKIServiceRegistry: Register a class with the registry.
registerAlias(Class<?>, String, String) - Static method in class elki.utilities.ELKIServiceRegistry: Register a class alias with the registry.
registerChild(Object) - Method in class elki.utilities.optionhandling.parameterization.TrackParameters
registerImage(RenderedImage) - Static method in class elki.visualization.batikutil.ThumbnailRegistryEntry: Put an image into the repository (note: the repository is only keeping a weak reference!)
RegressionModel - Class in elki.svm.model
RegressionModel() - Constructor for class elki.svm.model.RegressionModel
regularizedGammaP(double, double) - Static method in class elki.math.statistics.distribution.GammaDistribution: Returns the regularized gamma function P(a, x).
regularizedGammaQ(double, double) - Static method in class elki.math.statistics.distribution.GammaDistribution: Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
regularizedIncBeta(double, double, double) - Static method in class elki.math.statistics.distribution.BetaDistribution: Computes the regularized incomplete beta function I_x(a, b) which is also the CDF of the beta distribution.
regularizedIncBeta(double, double, double, double) - Static method in class elki.math.statistics.distribution.BetaDistribution: Computes the regularized incomplete beta function I_x(a, b) which is also the CDF of the beta distribution.
regularizedIncBetaCF(double, double, double) - Static method in class elki.math.statistics.distribution.BetaDistribution: Returns the regularized incomplete beta function I_x(a, b) Includes the continued fraction way of computing, based on the book "Numerical Recipes".
regularizedIncBetaQuadrature(double, double, double) - Static method in class elki.math.statistics.distribution.BetaDistribution: Returns the regularized incomplete beta function I_x(a, b) by quadrature, based on the book "Numerical Recipes".
reinitialize() - Method in class elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment
reinitialize() - Method in interface elki.index.tree.spatial.rstarvariants.strategies.overflow.OverflowTreatment: Reinitialize the reinsertion treatment (for a new primary insertion).
reinitialize() - Method in class elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment
reinitialize() - Method in class elki.visualization.gui.overview.OverviewPlot: Refresh the overview plot.
reinitOnRefresh - Variable in class elki.visualization.gui.overview.OverviewPlot: Reinitialize on refresh
reInsert(N, IndexTreePath<E>, int[]) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Reinserts the specified node at the specified level.
REINSERT_AMOUNT_ID - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Par: Reinsertion share
REINSERT_DISTANCE_ID - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Par: Reinsertion share
REINSERT_STRATEGY_ID - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Par: Fast-insertion parameter.
reinsertAmount - Variable in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Par: The actual reinsertion strategy
reinsertAmount - Variable in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert: Amount of entries to reinsert
reinsertExpanded(DeLiCluTree, IndexTreePath<DeLiCluEntry>, DataStore<KNNList>) - Method in class elki.clustering.optics.DeLiClu: Reinserts the objects of the already expanded nodes.
reinsertExpanded(DeLiCluTree, List<IndexTreePath<DeLiCluEntry>>, int, DeLiCluEntry, DataStore<KNNList>) - Method in class elki.clustering.optics.DeLiClu
reinsertions - Variable in class elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment: Bitset to keep track of levels a reinsert has been performed at.
reinsertStrategy - Variable in class elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Par: The actual reinsertion strategy
reinsertStrategy - Variable in class elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment: Strategy for the actual reinsertions
ReinsertStrategy - Interface in elki.index.tree.spatial.rstarvariants.strategies.reinsert: Reinsertion strategy to resolve overflows in the RStarTree.
rel - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared: Relation to visualize
rel - Variable in class elki.visualization.projector.HistogramProjector: Relation we project.
rel - Variable in class elki.visualization.projector.ParallelPlotProjector: Relation we project.
rel - Variable in class elki.visualization.projector.ScatterPlotProjector: Relation we project.
rel - Variable in class elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization: The representation we visualize
rel - Variable in class elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization.Instance: The representation we visualize
rel - Variable in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance: The representation we visualize
relabelClusters - Variable in class elki.data.synthetic.bymodel.GeneratorMain: Pattern, which clusters (e.g., "Noise") to relabel by the second best cluster.
relabelDistance - Variable in class elki.data.synthetic.bymodel.GeneratorMain: Relabel objects by distance.
relation - Variable in class elki.clustering.biclustering.AbstractBiclustering: Relation we use.
relation - Variable in class elki.clustering.correlation.HiCO.Instance: Data relation.
relation - Variable in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Instance: Vector data relation.
relation - Variable in class elki.clustering.kmeans.AbstractKMeans.Instance: Data relation.
relation - Variable in class elki.clustering.kmeans.initialization.KMC2.Instance: Data relation.
relation - Variable in class elki.clustering.kmeans.initialization.KMeansPlusPlus.NumberVectorInstance: Data relation.
relation - Variable in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Instance: Data relation.
relation - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor.Instance: Data relation.
relation - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor: Data relation.
relation - Variable in class elki.clustering.subspace.DiSH.Instance: Data relation.
relation - Variable in class elki.clustering.subspace.HiSC.Instance: Data relation.
relation - Variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Instance: The relation holding the uncertain objects.
relation - Variable in class elki.database.query.distance.DBIDDistanceQuery: Relation to query.
relation - Variable in class elki.database.query.distance.PrimitiveDistanceQuery: The data to use for this query
relation - Variable in class elki.database.query.knn.LinearScanPrimitiveKNNByObject: Relation to query.
relation - Variable in class elki.database.query.knn.PreprocessorKNNQuery: The data to use for this query
relation - Variable in class elki.database.query.knn.WrappedKNNDBIDByLookup: Data relation.
relation - Variable in class elki.database.query.QueryBuilder: Relation to query.
relation - Variable in class elki.database.query.range.LinearScanEuclideanRangeByObject: Relation to scan.
relation - Variable in class elki.database.query.range.WrappedRangeDBIDByLookup: Data relation.
relation - Variable in class elki.database.query.rknn.PreprocessorRKNNQuery: The data to use for this query
relation - Variable in class elki.database.query.rknn.WrappedRKNNDBIDByLookup: Data relation.
relation - Variable in class elki.database.query.similarity.PrimitiveSimilarityQuery: The data to use for this query
relation - Variable in class elki.database.query.WrappedPrioritySearchDBIDByLookup: Data relation.
relation - Variable in class elki.distance.AbstractDatabaseDistance.Instance: Relation to query.
relation - Variable in class elki.distance.AbstractIndexBasedDistance.Instance: Relation to query.
relation - Variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: The database
relation - Variable in class elki.index.AbstractRefiningIndex: The representation we are bound to.
relation - Variable in class elki.index.distancematrix.PrecomputedSimilarityMatrix: The representation we are bound to.
relation - Variable in class elki.index.invertedlist.InMemoryInvertedIndex: The representation we are bound to.
relation - Variable in class elki.index.laesa.LAESA: Relation indexed.
relation - Variable in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor: The relation we are bound to.
relation - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: The representation we are bound to.
relation - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: The representation we are bound to.
relation - Variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor: Relation to use.
relation - Variable in class elki.index.projected.ProjectedIndex: The relation we predend to index.
relation - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree: The representation we are bound to.
relation - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex: The relation indexed
relation - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex: Relation indexed
relation - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex: Relation indexed.
relation - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex: The relation indexed.
relation - Variable in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex: The relation indexed.
relation - Variable in class elki.index.tree.metrical.vptree.GNAT: The representation we are bound to.
relation - Variable in class elki.index.tree.metrical.vptree.VPTree: The representation we are bound to.
relation - Variable in class elki.index.tree.spatial.kd.MemoryKDTree: The representation we are bound to.
relation - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree: The representation we are bound to.
relation - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree: The representation we are bound to.
relation - Variable in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: The relation we index.
relation - Variable in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex: The relation we index
relation - Variable in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher: Relation we query.
relation - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher: Relation we query.
relation - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNSearcher: Relation we query.
relation - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeRangeSearcher: Relation we query.
relation - Variable in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: The relation we query.
relation - Variable in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Relation
relation - Variable in class elki.outlier.density.IsolationForest.ForestBuilder: Data relation to use
relation - Variable in class elki.outlier.distance.HilOut.HilbertFeatures: Relation indexed
relation - Variable in class elki.outlier.lof.ALOCI.ALOCIQuadTree: Relation indexed.
relation - Variable in class elki.outlier.subspace.OUTRES.KernelDensityEstimator: Relation to retrieve data from
relation - Variable in class elki.similarity.AbstractIndexBasedSimilarity.Instance: Relation to query.
relation - Variable in class elki.visualization.VisualizationTask: The main representation
relation - Variable in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance: The database we visualize
relation - Variable in class elki.visualization.visualizers.parallel.AbstractParallelVisualization: The representation we visualize
Relation<O> - Interface in elki.database.relation: An object representation from a database.
relationAsMatrix(Relation<? extends NumberVector>, ArrayDBIDs) - Static method in class elki.database.relation.RelationUtil: Copy a relation into a double matrix.
RelationObjectIterator(DBIDIter, Relation<? extends O>) - Constructor for class elki.database.relation.RelationUtil.RelationObjectIterator: Full Constructor.
RelationObjectIterator(Relation<? extends O>) - Constructor for class elki.database.relation.RelationUtil.RelationObjectIterator: Simplified constructor.
relations - Variable in class elki.database.AbstractDatabase: The relations we manage.
relationUglyVectorCast(Relation<T>) - Static method in class elki.database.relation.RelationUtil: An ugly vector type cast unavoidable in some situations due to Generics.
RelationUtil - Class in elki.database.relation: Utility functions for handling database relation.
RelationUtil() - Constructor for class elki.database.relation.RelationUtil: Fake constructor: do not instantiate.
RelationUtil.AscendingByDoubleRelation - Class in elki.database.relation: Sort objects by a double relation
RelationUtil.CollectionFromRelation<O> - Class in elki.database.relation: Collection view on a database that retrieves the objects when needed.
RelationUtil.DescendingByDoubleRelation - Class in elki.database.relation: Sort objects by a double relation
RelationUtil.RelationObjectIterator<O> - Class in elki.database.relation: Iterator class that retrieves the given objects from the database.
relativeCubicTo(double[], double[], double[]) - Method in class elki.visualization.svg.SVGPath: Cubic Bezier line to the given relative coordinates.
relativeCubicTo(double, double, double, double, double, double) - Method in class elki.visualization.svg.SVGPath: Cubic Bezier line to the given relative coordinates.
RelativeEigenPairFilter - Class in elki.math.linearalgebra.pca.filter: The RelativeEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs who are a certain factor above the average of the remaining eigenvalues.
RelativeEigenPairFilter(double) - Constructor for class elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter: Constructor.
RelativeEigenPairFilter.Par - Class in elki.math.linearalgebra.pca.filter: Parameterization class.
relativeEllipticalArc(double[], double, double, double, double[]) - Method in class elki.visualization.svg.SVGPath: Elliptical arc curve to the given relative coordinates.
relativeEllipticalArc(double, double, double, double, double, double[]) - Method in class elki.visualization.svg.SVGPath: Elliptical arc curve to the given relative coordinates.
relativeEllipticalArc(double, double, double, double, double, double, double) - Method in class elki.visualization.svg.SVGPath: Elliptical arc curve to the given relative coordinates.
relativeFill() - Method in class elki.visualization.gui.overview.RectangleArranger: Compute the relative fill.
relativeHorizontalLineTo(double) - Method in class elki.visualization.svg.SVGPath: Draw a horizontal line to the given relative x coordinate.
relativeLineTo(double[]) - Method in class elki.visualization.svg.SVGPath: Draw a line to the given relative coordinates.
relativeLineTo(double, double) - Method in class elki.visualization.svg.SVGPath: Draw a line to the given relative coordinates.
relativeMinFill - Variable in class elki.index.tree.spatial.rstarvariants.RTreeSettings: Relative minimum fill.
relativeMoveTo(double[]) - Method in class elki.visualization.svg.SVGPath: Move to the given relative coordinates.
relativeMoveTo(double, double) - Method in class elki.visualization.svg.SVGPath: Move to the given relative coordinates.
relativeOverlap(SpatialComparable, SpatialComparable) - Static method in class elki.data.spatial.SpatialUtil: Computes the volume of the overlapping box between two SpatialComparables and return the relation between the volume of the overlapping box and the volume of both SpatialComparable.
relativeQuadTo(double[], double[]) - Method in class elki.visualization.svg.SVGPath: Quadratic Bezier line to the given relative coordinates.
relativeQuadTo(double, double, double, double) - Method in class elki.visualization.svg.SVGPath: Quadratic Bezier line to the given relative coordinates.
relativeSmoothCubicTo(double[], double[]) - Method in class elki.visualization.svg.SVGPath: Smooth Cubic Bezier line to the given relative coordinates.
relativeSmoothCubicTo(double, double, double, double) - Method in class elki.visualization.svg.SVGPath: Smooth Cubic Bezier line to the given relative coordinates.
relativeSmoothQuadTo(double[]) - Method in class elki.visualization.svg.SVGPath: Smooth quadratic Bezier line to the given relative coordinates.
relativeSmoothQuadTo(double, double) - Method in class elki.visualization.svg.SVGPath: Smooth quadratic Bezier line to the given relative coordinates.
relativeVerticalLineTo(double) - Method in class elki.visualization.svg.SVGPath: Draw a vertical line to the given relative y coordinate.
relayout(String) - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
relevantSubspace(long[], DoubleDBIDList, OUTRES.KernelDensityEstimator) - Method in class elki.outlier.subspace.OUTRES: Subspace relevance test.
REMAINING_OPTIONS_ID - Static variable in class elki.gui.util.DynamicParameters: OptionID for unrecognized options.
RemainingOptions() - Constructor for class elki.gui.util.DynamicParameters.RemainingOptions: Constructor.
removalEvent(DBIDs) - Static method in class elki.database.datastore.DataStoreEvent: Removal event.
removals - Variable in class elki.database.datastore.DataStoreEvent: Removals.
remove() - Method in interface elki.database.ids.DBIDMIter: Remove the object the iterator currently points to.
remove() - Method in class elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
remove() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
remove() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
remove() - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr
remove() - Method in interface elki.utilities.datastructures.iterator.MIter: Remove the object the iterator currently points to.
remove(int) - Method in interface elki.database.ids.ArrayModifiableDBIDs: Remove the entry at position i by shifting the remainder forward.
remove(int) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
remove(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
remove(int) - Method in interface elki.database.ids.ModifiableDoubleDBIDList: Remove the entry at position p by shifting the remainder forward.
remove(int, int) - Method in class elki.utilities.datastructures.arraylike.DoubleArray: Remove a range from the array.
remove(int, int) - Method in class elki.utilities.datastructures.arraylike.IntegerArray: Remove a range from the array.
remove(DBIDRef) - Method in class elki.database.datastore.memory.ArrayRecordStore
remove(DBIDRef) - Method in class elki.database.datastore.memory.MapIntegerDBIDRecordStore
remove(DBIDRef) - Method in class elki.database.datastore.memory.MapRecordStore
remove(DBIDRef) - Method in interface elki.database.datastore.WritableRecordStore: Remove an object from the store, all columns.
remove(DBIDRef) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
remove(DBIDRef) - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
remove(DBIDRef) - Method in interface elki.database.ids.ModifiableDBIDs: Remove a single DBID from the collection.
remove(PlotItem, VisualizationTask) - Method in class elki.visualization.gui.overview.LayerMap: Remove a combination.
remove(String) - Method in class elki.gui.util.SavedSettingsFile: Remove a given key from the file.
remove(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
remove(O) - Method in interface elki.utilities.datastructures.hierarchy.ModifiableHierarchy: Remove an entry and all its parent-child relationships.
remove(O, O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
remove(O, O) - Method in interface elki.utilities.datastructures.hierarchy.ModifiableHierarchy: Remove a parent-child relationship.
REMOVE - elki.database.DatabaseEventManager.Type
removeActionListener(ActionListener) - Method in class elki.gui.util.TreePopup: Unregister an action listener.
removeBiasNormalDistribution(double, int) - Static method in class elki.math.statistics.tests.AndersonDarlingTest: Remove bias from the Anderson-Darling statistic if the mean and standard deviation were estimated from the data, and a normal distribution was assumed.
removeBiasNormalDistributionDAgostino(double, int) - Static method in class elki.math.statistics.tests.AndersonDarlingTest: Remove bias from the Anderson-Darling statistic if the mean and standard deviation were estimated from the data, and a normal distribution was assumed.
removeCameraListener(Simple1DOFCamera.CameraListener) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera: Remove a camera listener.
removeChangeListener(ChangeListener) - Method in class elki.gui.configurator.AbstractParameterConfigurator
removeChangeListener(ChangeListener) - Method in class elki.gui.configurator.ConfiguratorPanel
removeChangeListener(ChangeListener) - Method in interface elki.gui.configurator.ParameterConfigurator: Remove a change listener
removeCheckBoxListener(ChangeListener) - Method in class elki.visualization.svg.SVGCheckbox: Remove a listener for this checkbox.
removeChild(Object) - Method in class elki.result.Metadata.Hierarchy: Remove a child from this node.
removeChildInt(Object) - Method in class elki.result.Metadata.Hierarchy: Remove a child.
removeClass(CSSClass) - Method in class elki.visualization.css.CSSClassManager: Remove a single CSS class from the map.
removeCompleted() - Method in class elki.logging.progress.ProgressTracker: Remove completed progresses.
removeCost(double) - Method in class elki.utilities.datastructures.KuhnMunkres: Remove cost h (if > 0) found to be unavoidable.
removeCost(double) - Method in class elki.utilities.datastructures.KuhnMunkresStern
removeCost(double) - Method in class elki.utilities.datastructures.KuhnMunkresWong: Remove cost h (if > 0) found to be unavoidable.
removeCSSClass(Element, String) - Static method in class elki.visualization.svg.SVGUtil: Remove a CSS class from an Element.
RemoveCSSClass - Class in elki.visualization.batikutil: Remove a CSS class to the event target.
RemoveCSSClass(String) - Constructor for class elki.visualization.batikutil.RemoveCSSClass: Constructor
removeDataStoreListener(DataStoreListener) - Method in class elki.database.AbstractDatabase
removeDataStoreListener(DataStoreListener) - Method in interface elki.database.Database: Removes a listener previously added with Database.addDataStoreListener(DataStoreListener).
removeDataStoreListener(DataStoreListener) - Method in class elki.visualization.VisualizerContext: Removes a listener previously added with addDataStoreListener.
removeDBIDs(DBIDs) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
removeDBIDs(DBIDs) - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
removeDBIDs(DBIDs) - Method in interface elki.database.ids.ModifiableDBIDs: Remove DBIDs from collection.
removeFromParent(Element) - Static method in class elki.visualization.svg.SVGUtil: Remove an element from its parent, if defined.
removeIDs(DBIDs) - Method in class elki.clustering.correlation.cash.CASHInterval: Removes the specified ids from this interval.
removeKNNListener(KNNListener) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor: Removes a KNNListener previously added with MaterializeKNNPreprocessor.addKNNListener(elki.index.preprocessed.knn.KNNListener).
removeLastChild(Element) - Static method in class elki.visualization.svg.SVGUtil: Remove last child of an element, when present
removeListener(DataStoreListener) - Method in class elki.database.DatabaseEventManager: Removes a DataStoreListener previously added with DatabaseEventManager.addListener(DataStoreListener).
removeListener(ResultListener) - Method in class elki.database.DatabaseEventManager: Removes a ResultListener previously added with DatabaseEventManager.addListener(ResultListener).
removeMask(long[]) - Method in class elki.index.tree.AbstractNode: Remove entries according to the given mask.
removePanelListener(ParameterTabPanel) - Method in class elki.gui.multistep.panels.ParameterTabPanel
removeParentInt(Metadata) - Method in class elki.result.Metadata.Hierarchy: Remove a parent.
removePreviousRelation(Relation<?>) - Method in class elki.projection.AbstractProjectionAlgorithm: Remove the previous relation.
removeProgressBar(Progress, JProgressBar) - Method in class elki.gui.util.LogPanel: Remove a progress bar
removeProgressBar(JProgressBar) - Method in class elki.gui.util.LogPanel: Remove a new progress bar.
removeRec(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy: Remove a record.
removeRecursive(Object) - Static method in class elki.result.ResultUtil: Recursively remove a result and its children.
removeResultListener(ResultListener) - Method in class elki.result.Metadata: Remove a result listener.
removeResultListener(ResultListener) - Method in class elki.visualization.VisualizerContext: Remove a result listener.
removeStatement(String) - Method in class elki.visualization.css.CSSClass: Remove a CSS statement.
removeSubtree(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
removeSubtree(O) - Method in interface elki.utilities.datastructures.hierarchy.ModifiableHierarchy: Remove an entry and it's whole subtree (unless the elements are reachable by a different path!)
removeSwap(int) - Method in interface elki.database.ids.ArrayModifiableDBIDs: Remove the entry at position i by swapping with the last (not preserving the order).
removeSwap(int) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
removeSwap(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
removeSwap(int) - Method in interface elki.database.ids.ModifiableDoubleDBIDList: Remove the entry at position p by swapping with the last (not preserving the order).
removeVisualizationListener(VisualizationListener) - Method in class elki.visualization.VisualizationTree: Add a listener.
removeVisualizationListener(VisualizationListener) - Method in class elki.visualization.VisualizerContext: Add a listener.
render(SVGPlot) - Method in class elki.visualization.svg.SVGButton: Produce the actual SVG elements for the button.
render(GL2) - Method in class elki.visualization.parallel3d.util.AbstractSimpleOverlay: Main render method
renderCheckBox(SVGPlot, double, double, double) - Method in class elki.visualization.svg.SVGCheckbox: Render the SVG checkbox to a plot
renderContents(GL2) - Method in class elki.visualization.parallel3d.util.AbstractSimpleOverlay: Render the actual overlay contents.
renderContents(GL2) - Method in class elki.visualization.parallel3d.util.SimpleMenuOverlay
renderContents(GL2) - Method in class elki.visualization.parallel3d.util.SimpleMessageOverlay
renderer - Variable in class elki.visualization.parallel3d.util.SimpleMenuOverlay: Text renderer
renderer - Variable in class elki.visualization.parallel3d.util.SimpleMessageOverlay: Text renderer
Renderer() - Constructor for class elki.gui.util.TreePopup.Renderer: Constructor.
RenderFlag(int) - Constructor for enum elki.visualization.VisualizationTask.RenderFlag: Constructor.
renderImage() - Method in class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
renderLabels(GL2, IntIntPair[]) - Method in class elki.visualization.parallel3d.Parallel3DRenderer
renderTexture(GL2, int) - Method in class elki.visualization.parallel3d.Parallel3DRenderer
reorderAxesTransformation(int, int...) - Static method in class elki.math.linearalgebra.AffineTransformation: Generate a transformation that reorders axes in the given way.
rep - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par: Number of repetitions.
rep - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency: Number of repetitions
rep - Variable in class elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance: The representation we visualize
REP_ID - Static variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par: Parameter to specify the number of repetitions of computing the hopkins value.
REPLACE - elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Mode
REPLACE - elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Mode
REPLACE - elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Mode
REPLACE - elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Mode
replaceDefaultHandler(Handler) - Static method in class elki.logging.LoggingConfiguration: Replace the default log handler with the given log handler.
replaceEdge(int, int, int, int) - Method in class elki.math.geometry.SweepHullDelaunay2D.Triangle: Replace an edge
REPLACEMENT_DISTRIBUTION - Static variable in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter.Par: Parameter to specify the distribution to sample replacement values from.
ReplaceNaNWithRandomFilter - Class in elki.datasource.filter.cleaning: A filter to replace all NaN values with random values.
ReplaceNaNWithRandomFilter(Distribution, RandomFactory) - Constructor for class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter: Constructor.
ReplaceNaNWithRandomFilter.Par - Class in elki.datasource.filter.cleaning: Parameterization class.
replaceTopElement(double) - Method in interface elki.utilities.datastructures.heap.DoubleHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(double) - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap
replaceTopElement(double) - Method in class elki.utilities.datastructures.heap.DoubleMinHeap
replaceTopElement(double, int) - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(double, int) - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
replaceTopElement(double, int) - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap
replaceTopElement(double, long) - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(double, long) - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap
replaceTopElement(double, long) - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap
replaceTopElement(double, DBIDRef) - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap: Replace the top element.
replaceTopElement(double, V) - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(double, V) - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap
replaceTopElement(double, V) - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap
replaceTopElement(int) - Method in interface elki.utilities.datastructures.heap.IntegerHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(int) - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap
replaceTopElement(int) - Method in class elki.utilities.datastructures.heap.IntegerMinHeap
replaceTopElement(int, V) - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap: Combined operation that removes the top element, and inserts a new element instead.
replaceTopElement(int, V) - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap
replaceTopElement(int, V) - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap
replaceTopElement(K) - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap
replaceTopElement(K) - Method in class elki.utilities.datastructures.heap.ComparableMinHeap
replaceTopElement(K) - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap
replaceTopElement(K) - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap
replaceTopElement(K) - Method in interface elki.utilities.datastructures.heap.ObjectHeap: Combined operation that removes the top element, and inserts a new element instead.
replot() - Method in class elki.visualization.opticsplot.OPTICSPlot: Trigger a redraw of the OPTICS plot
replot() - Method in class elki.visualization.silhouette.SilhouettePlot: Trigger a redraw of the Silhouette plot
reportError(ParameterException) - Method in class elki.utilities.optionhandling.parameterization.AbstractParameterization
reportError(ParameterException) - Method in class elki.utilities.optionhandling.parameterization.ChainedParameterization
reportError(ParameterException) - Method in class elki.utilities.optionhandling.parameterization.MergedParameterization
reportError(ParameterException) - Method in interface elki.utilities.optionhandling.parameterization.Parameterization: Report a configuration error.
reportError(ParameterException) - Method in class elki.utilities.optionhandling.parameterization.TrackParameters
reportError(ParameterException) - Method in class elki.utilities.optionhandling.parameterization.UnParameterization
reportErrors(Parameterization) - Method in class elki.gui.multistep.panels.ParameterTabPanel: Report errors in a single error log record.
reportErrors(SerializedParameterization) - Method in class elki.gui.minigui.MiniGUI: Report errors in a single error log record.
RepresentativenessEvaluation(double, double, double) - Constructor for class elki.clustering.uncertain.RepresentativeUncertainClustering.RepresentativenessEvaluation: Constructor.
RepresentativeUncertainClustering - Class in elki.clustering.uncertain: Representative clustering of uncertain data.
RepresentativeUncertainClustering(ClusteringDistanceSimilarity, ClusteringAlgorithm<?>, ClusteringAlgorithm<?>, int, RandomFactory, double, boolean) - Constructor for class elki.clustering.uncertain.RepresentativeUncertainClustering: Constructor, quite trivial.
RepresentativeUncertainClustering.Par - Class in elki.clustering.uncertain: Parameterization class.
RepresentativeUncertainClustering.RepresentativenessEvaluation - Class in elki.clustering.uncertain: Representativeness evaluation result.
reqheight - Variable in class elki.visualization.VisualizationTask: Height request
requestRedraw(VisualizationTask, Visualization) - Method in class elki.visualization.gui.VisualizationPlot: Request a redraw of a visualization.
requestSize(double, double) - Method in class elki.visualization.VisualizationTask: Set the size request.
reqwidth - Variable in class elki.visualization.VisualizationTask: Width request
res - Variable in class elki.math.scales.LinearScale: Scale resolution
rescale(double, double) - Method in class elki.math.geometry.XYCurve: Rescale the graph.
RESCALE - Static variable in class elki.math.statistics.dependence.SlopeDependence: Scaling factor.
RescaleMetaOutlierAlgorithm - Class in elki.outlier.meta: Scale another outlier score using the given scaling function.
RescaleMetaOutlierAlgorithm(Algorithm, ScalingFunction) - Constructor for class elki.outlier.meta.RescaleMetaOutlierAlgorithm: Constructor.
RescaleMetaOutlierAlgorithm.Par - Class in elki.outlier.meta: Parameterization class
reset() - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate: Resets the values for the next cluster search.
reset() - Method in class elki.math.DoubleMinMax: Reset statistics.
reset() - Method in class elki.math.IntegerMinMax: Reset statistics.
reset() - Method in class elki.math.linearalgebra.CovarianceMatrix: Reset the covariance matrix.
reset() - Method in class elki.math.Mean: Reset the value.
reset() - Method in class elki.math.MeanVariance
reset() - Method in class elki.math.MeanVarianceMinMax
reset() - Method in class elki.math.PearsonCorrelation: Reset the value.
reset() - Method in class elki.math.StatisticalMoments
reset() - Method in class elki.utilities.io.BufferedLineReader: Reset the current reader (but do not close the stream).
reset() - Method in class elki.utilities.io.TokenizedReader: Cleanup the internal state of the tokenized reader.
reset(LineReader) - Method in class elki.utilities.io.BufferedLineReader: Reset to a new line reader.
reset(InputStream) - Method in class elki.utilities.io.BufferedLineReader: Reset to a new line reader.
reset(InputStreamReader) - Method in class elki.utilities.io.BufferedLineReader: Reset to a new line reader.
resetAggregate() - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Reset the aggregate (for spurious clusters).
resetSizeButton - Variable in class elki.visualization.savedialog.SaveOptionsPanel
resetStatistics() - Method in class elki.clustering.hierarchical.birch.ClusteringFeature: Reset the CF to zero.
resetStatistics() - Method in class elki.index.tree.betula.features.BIRCHCF
resetStatistics() - Method in interface elki.index.tree.betula.features.ClusterFeature: Resets all statistics of CF
resetStatistics() - Method in class elki.index.tree.betula.features.VIIFeature
resetStatistics() - Method in class elki.index.tree.betula.features.VVIFeature
resetStatistics() - Method in class elki.index.tree.betula.features.VVVFeature
reshape(GLAutoDrawable, int, int, int, int) - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
residue - Variable in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate: The current bicluster score (mean squared residue).
resize(double) - Method in class elki.visualization.gui.overview.RectangleArranger
resizeFile(int) - Method in class elki.persistent.OnDiskArray: Resize file to the intended size
resizeMatrix(int) - Method in class elki.persistent.OnDiskUpperTriangleMatrix: Resize the matrix to cover newsize x newsize.
resolution - Variable in class elki.application.experiments.VisualizeGeodesicDistances.Par: Horizontal resolution.
resolution - Variable in class elki.math.statistics.dependence.HoughSpaceMeasure: Resolution of image.
resolution - Variable in class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance: Density map resolution
RESOLUTION_ID - Static variable in class elki.application.experiments.VisualizeGeodesicDistances.Par: Image resolution.
RESOURCE_PREFIX - Static variable in class elki.utilities.ELKIServiceLoader: Resource name prefix for the ELKI functionality discovery.
RESTARTS_ID - Static variable in class elki.clustering.kmedoids.CLARANS.Par: The number of restarts to run.
restore(double, boolean) - Method in interface elki.clustering.hierarchical.linkage.Linkage: Restore a distance to the original scale.
restore(double, boolean) - Method in class elki.clustering.hierarchical.linkage.MinimumVarianceLinkage
restore(double, boolean) - Method in class elki.clustering.hierarchical.linkage.WardLinkage
restore(int, double) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization: Restore a single dimension.
restore(int, double) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization: Restore a single dimension.
restore(int, double) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization: Restore a single dimension.
restore(O) - Method in interface elki.datasource.filter.normalization.Normalization: Transforms a feature vector to the original attribute ranges.
restore(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
restore(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
restore(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
restore(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
restore(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
restore(V) - Method in class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
Restricted - Annotation Type in elki.utilities.documentation: Indicator that the given class has distibution restrictions such as associated patents, and therefore must not be included in the release.
restrictionClass - Variable in class elki.utilities.optionhandling.parameters.ClassListParameter: The restriction class for the list of class names.
restrictionClass - Variable in class elki.utilities.optionhandling.parameters.ClassParameter: The restriction class for this class parameter.
restrictions - Variable in class elki.data.type.AlternativeTypeInformation: The wrapped type restrictions
restrictions - Variable in class elki.data.type.CombinedTypeInformation: The wrapped type restrictions
result - Variable in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.ProblemData
result - Variable in class elki.outlier.lof.FlexibleLOF.LOFResult: The result of the run of the FlexibleLOF algorithm.
result - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance: Result to output to.
result - Variable in class elki.visualization.VisualizationTask: The result we are attached to
result - Variable in class elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance: The result we visualize
result - Variable in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance: The outlier result to visualize
result - Variable in class elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance: The outlier result to visualize
result - Variable in class elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance: Serves reference points.
result - Variable in class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance: The selection result we work on
result - Variable in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance: Number value to visualize
result - Variable in class elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance: Number value to visualize
result - Variable in class elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance: The actual pixmap result.
result - Variable in class elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance: The actual pixmap result.
RESULT_HANDLER_ID - Static variable in class elki.workflow.OutputStep.Par: Parameter to specify the result handler classes.
resultAdded(Object, Object) - Method in interface elki.result.ResultListener: A new derived result was added.
resultAdded(Object, Object) - Method in class elki.visualization.gui.detail.DetailView
resultAdded(Object, Object) - Method in class elki.visualization.gui.overview.OverviewPlot
resultAdded(Object, Object) - Method in class elki.visualization.gui.ResultWindow
resultAdded(Object, Object) - Method in class elki.workflow.EvaluationStep.Evaluation
resultChanged(Object) - Method in interface elki.result.ResultListener: Notify that the current result has changed substantially.
resultChanged(Object) - Method in class elki.visualization.gui.detail.DetailView
resultChanged(Object) - Method in class elki.visualization.gui.overview.OverviewPlot
resultChanged(Object) - Method in class elki.visualization.gui.ResultWindow
resultChanged(Object) - Method in class elki.visualization.gui.SelectionTableWindow
resultChanged(Object) - Method in class elki.visualization.visualizers.AbstractVisualization
resultChanged(Object) - Method in class elki.visualization.visualizers.histogram.AbstractHistogramVisualization
resultChanged(Object) - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
resultChanged(Object) - Method in class elki.visualization.visualizers.thumbs.ThumbnailVisualization
ResultHandler - Interface in elki.result: Interface for any class that can handle results
resulthandlers - Variable in class elki.workflow.OutputStep.Par: Output handlers.
resulthandlers - Variable in class elki.workflow.OutputStep: Output handler.
resultList - Variable in class elki.clustering.dbscan.DBSCAN.Instance: Holds a list of clusters found.
resultList - Variable in class elki.clustering.SNNClustering: Holds a list of clusters found.
ResultListener - Interface in elki.result: Listener interface invoked when new results are added to the result tree.
resultListenerList - Variable in class elki.database.DatabaseEventManager: Holds the listeners for result changes.
ResultProcessor - Interface in elki.result: Interface for any class that can handle results.
resultRemoved(Object, Object) - Method in interface elki.result.ResultListener: A result was removed.
resultRemoved(Object, Object) - Method in class elki.visualization.gui.detail.DetailView
resultRemoved(Object, Object) - Method in class elki.visualization.gui.overview.OverviewPlot
resultRemoved(Object, Object) - Method in class elki.visualization.gui.ResultWindow
ResultUtil - Class in elki.result: Utilities for handling result objects
ResultUtil() - Constructor for class elki.result.ResultUtil: Private constructor.
ResultWindow - Class in elki.visualization.gui: Swing window to manage a particular result visualization.
ResultWindow(String, VisualizerContext, boolean) - Constructor for class elki.visualization.gui.ResultWindow: Constructor.
ResultWindow.DynamicMenu - Class in elki.visualization.gui: Dynamic menu.
ResultWindow.TextWriterPanel - Class in elki.visualization.gui: Simple configuration panel for the text output.
ResultWriter - Class in elki.result: Result handler that feeds the data into a TextWriter.
ResultWriter(Path, boolean, boolean, Pattern) - Constructor for class elki.result.ResultWriter: Constructor.
ResultWriter.Par - Class in elki.result: Parameterization class.
retainAll(DBIDs) - Method in interface elki.database.ids.HashSetModifiableDBIDs: Retain all elements that also are in the second set.
retainAll(DBIDs) - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
retract() - Method in interface elki.database.ids.DBIDArrayIter
retract() - Method in interface elki.database.ids.DoubleDBIDListIter
retract() - Method in class elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
retract() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
retract() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
retract() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
retract() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
retract() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
retract() - Method in interface elki.database.ids.integer.DoubleIntegerDBIDListIter
retract() - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr
retract() - Method in class elki.database.ids.integer.IntegerDBID.Itr
retract() - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
retract() - Method in class elki.database.ids.integer.IntegerDBIDPair.Itr
retract() - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
retract() - Method in class elki.database.ids.integer.IntegerDBIDRange.Itr
retract() - Method in class elki.database.ids.integer.IntegerDBIDVar.Itr
retract() - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr
retract() - Method in class elki.evaluation.scores.adapter.AbstractVectorIter
retract() - Method in class elki.evaluation.scores.adapter.DecreasingVectorIter
retract() - Method in class elki.evaluation.scores.adapter.IncreasingVectorIter
retract() - Method in class elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
retract() - Method in class elki.utilities.datastructures.histogram.DoubleHistogram.Iter
retract() - Method in class elki.utilities.datastructures.histogram.ObjHistogram.Iter
retract() - Method in interface elki.utilities.datastructures.iterator.ArrayIter: Moves the iterator backward to the previous entry.
retract() - Method in class elki.utilities.datastructures.iterator.ArrayListIter
retries - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster: Retry count
RetrievalPerformanceResult(int, double, double, double[]) - Constructor for class elki.algorithm.statistics.EvaluateRetrievalPerformance.RetrievalPerformanceResult: Constructor.
retrieveAccurateDistances(List<PartialVAFile.PartialVACandidate>, int, long[], V) - Method in class elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery
reverse - Variable in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Par: Pattern to recognize reversed methods.
reverse - Variable in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores: Pattern to recognize reversed methods.
reverse() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList: Reverse the list.
reverse(WritableDataStore<HashSetModifiableDBIDs>, WritableDataStore<HashSetModifiableDBIDs>, WritableDataStore<HashSetModifiableDBIDs>) - Method in class elki.index.preprocessed.knn.NNDescent: calculates new and old neighbors for database
reversed - Variable in class elki.visualization.svg.SVGScoreBar: Reversed flag.
reversed(double[]) - Static method in class elki.math.linearalgebra.pca.AutotuningPCA: Sort an array of doubles in descending order.
REVERSED_ID - Static variable in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Par: Pattern for reversed methods.
reverseKNNQuery(DBID, int, SpatialPrimitiveDistance<? super O>) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
reverseKNNQuery(DBIDRef, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree: Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(DBIDRef, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(DBIDRef, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(DBIDRef, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: Performs a reverse k-nearest neighbor query for the given object ID.
reverseKNNQuery(DBIDRef, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
rewind() - Method in class elki.utilities.optionhandling.parameterization.MergedParameterization: Rewind the configuration to the initial situation
ReynoldsPAM<O> - Class in elki.clustering.kmedoids: The Partitioning Around Medoids (PAM) algorithm with some additional optimizations proposed by Reynolds et al.
ReynoldsPAM(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.kmedoids.ReynoldsPAM: Constructor.
ReynoldsPAM.Instance - Class in elki.clustering.kmedoids: Instance for a single dataset.
ReynoldsPAM.Par<V> - Class in elki.clustering.kmedoids: Parameterization class.
rf - Variable in class elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization: Random number generator
RGB - elki.visualization.style.ColorInterpolation: ColorInterpolation in RGB space
RGBHistogramQuadraticDistance - Class in elki.distance.colorhistogram: Distance function for RGB color histograms based on a quadratic form and color similarity.
RGBHistogramQuadraticDistance(int) - Constructor for class elki.distance.colorhistogram.RGBHistogramQuadraticDistance: Constructor.
RGBHistogramQuadraticDistance.Par - Class in elki.distance.colorhistogram: Parameterization class.
rho - Variable in class elki.index.preprocessed.knn.NNDescent.Factory: sample rate
rho - Variable in class elki.index.preprocessed.knn.NNDescent: sample rate
rho - Variable in class elki.svm.model.Model
rho - Variable in class elki.svm.solver.Solver.SolutionInfo
rhs - Variable in class elki.math.linearalgebra.LinearEquationSystem: The right hand side of the equation system.
right - Variable in class elki.clustering.em.KDTreeEM.KDTree: Interval in sorted list
right - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.PrioritySearchBranch: Interval end
right - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.PrioritySearchBranch: Interval end
right - Variable in class elki.outlier.density.IsolationForest.Node: Right child, may be null
RIGHT - elki.visualization.svg.SVGArrow.Direction
rightChild - Variable in class elki.clustering.correlation.cash.CASHInterval: Holds the right child.
rightChild - Variable in class elki.clustering.em.KDTreeEM.KDTree: Child nodes:
rightChild - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.KDNode: Right child node
rightChild - Variable in class elki.index.tree.metrical.vptree.VPTree.Node: child trees
rightChild - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDNode: Right child node
RIGHTHAND - elki.visualization.svg.SVGSimpleLinearAxis.LabelStyle
rightNeighbor(CLIQUEUnit, int) - Method in class elki.clustering.subspace.clique.CLIQUESubspace: Returns the right neighbor of the given unit in the specified dimension.
rightx - Variable in class elki.math.geometry.FilteredConvexHull2D: Left bound
ringid - Variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy: Segment ring we are
rkNNByDBID(DistanceQuery<O>, int, int) - Method in class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
rkNNByDBID(DistanceQuery<O>, int, int) - Method in class elki.index.projected.ProjectedIndex
rkNNByDBID(DistanceQuery<O>, int, int) - Method in interface elki.index.RKNNIndex: Get a RKNN query object for the given distance query and k.
rkNNByDBID(DistanceQuery<O>, int, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex
rkNNByDBID(DistanceQuery<O>, int, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex
rkNNByDBID(DistanceQuery<O>, int, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
rkNNByDBID(DistanceQuery<O>, int, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex
rkNNByDBID(DistanceQuery<O>, int, int) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
rkNNByDBID(Relation<? extends O>, DistanceQuery<O>, int, int) - Method in interface elki.database.query.QueryOptimizer: Optimize a reverse nearest neighbors query for this relation.
rKNNByDBID() - Method in class elki.database.query.QueryBuilder: Build a reverse k-nearest neighbors query.
rKNNByDBID(int) - Method in class elki.database.query.QueryBuilder: Build a reverse k-nearest neighbors query.
rkNNByObject(DistanceQuery<O>, int, int) - Method in class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
rkNNByObject(DistanceQuery<O>, int, int) - Method in class elki.index.projected.LatLngAsECEFIndex
rkNNByObject(DistanceQuery<O>, int, int) - Method in class elki.index.projected.LngLatAsECEFIndex
rkNNByObject(DistanceQuery<O>, int, int) - Method in class elki.index.projected.ProjectedIndex
rkNNByObject(DistanceQuery<O>, int, int) - Method in interface elki.index.RKNNIndex: Get a RKNN query object for the given distance query and k.
rkNNByObject(DistanceQuery<O>, int, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex
rkNNByObject(DistanceQuery<O>, int, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex
rkNNByObject(DistanceQuery<O>, int, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
rkNNByObject(DistanceQuery<O>, int, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex
rkNNByObject(DistanceQuery<O>, int, int) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
rkNNByObject(Relation<? extends O>, DistanceQuery<O>, int, int) - Method in interface elki.database.query.QueryOptimizer: Optimize a reverse nearest neighbors query for this relation.
rKNNByObject() - Method in class elki.database.query.QueryBuilder: Build a reverse k-nearest neighbors query.
rKNNByObject(int) - Method in class elki.database.query.QueryBuilder: Build a reverse k-nearest neighbors query.
RKNNIndex<O> - Interface in elki.index: Index with support for kNN queries.
rkNNReach - Variable in class elki.outlier.lof.FlexibleLOF.LOFResult: The rkNN query w.r.t. the reachability distance.
rkNNRefer - Variable in class elki.outlier.lof.FlexibleLOF.LOFResult: The RkNN query w.r.t. the reference neighborhood distance.
RKNNSearcher<O> - Interface in elki.database.query.rknn: Abstract reverse kNN Query interface.
RL - elki.visualization.svg.SVGSimpleLinearAxis.Alignment
rlen - Variable in class elki.database.datastore.memory.MapIntegerDBIDRecordStore: Record length.
rlen - Variable in class elki.database.datastore.memory.MapRecordStore: Record length.
rmark - Variable in class elki.utilities.datastructures.KuhnMunkres: Row marks, used only temporary.
rmax - Variable in class elki.outlier.lof.LOCI: Maximum radius.
rmin - Variable in class elki.utilities.datastructures.KuhnMunkresWong: Minimum value of non-marked columns, for each row.
rnd - Variable in class elki.algorithm.KNNDistancesSampler.Par: Random number seeding.
rnd - Variable in class elki.algorithm.KNNDistancesSampler: Random number seeding.
rnd - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par: Random generator.
rnd - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators: Random generator.
rnd - Variable in class elki.application.experiments.ORLibBenchmark.Par: Random generator for shuffling.
rnd - Variable in class elki.application.experiments.ORLibBenchmark: Random generator for shuffling.
rnd - Variable in class elki.clustering.biclustering.ChengAndChurch: Random generator
rnd - Variable in class elki.clustering.correlation.LMCLUS.Par: Random generator
rnd - Variable in class elki.clustering.correlation.LMCLUS: Random factory
rnd - Variable in class elki.clustering.correlation.ORCLUS.Par: Random number generation.
rnd - Variable in class elki.clustering.correlation.ORCLUS: Random generator
rnd - Variable in class elki.clustering.hierarchical.birch.BIRCHKMeansPlusPlus.Par: Random generator
rnd - Variable in class elki.clustering.kmeans.initialization.AbstractKMeansInitialization.Par: Random generator
rnd - Variable in class elki.clustering.kmeans.initialization.AbstractKMeansInitialization: Random number generator
rnd - Variable in class elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization.Par: Random generator
rnd - Variable in class elki.clustering.kmeans.XMeans: Random factory.
rnd - Variable in class elki.clustering.kmedoids.initialization.LAB: Random generator
rnd - Variable in class elki.clustering.subspace.DOC: Randomizer used internally for sampling points.
rnd - Variable in class elki.clustering.subspace.PROCLUS.Par: Random generator
rnd - Variable in class elki.clustering.subspace.PROCLUS: Random generator
rnd - Variable in class elki.clustering.uncertain.UKMeans.Par: Our Random factory
rnd - Variable in class elki.clustering.uncertain.UKMeans: Our Random factory
rnd - Variable in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter.Par: Random generator.
rnd - Variable in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter: Random generator.
rnd - Variable in class elki.datasource.filter.selection.RandomSamplingStreamFilter.Par: Random generator
rnd - Variable in class elki.datasource.filter.selection.ShuffleObjectsFilter.Par: Random generator
rnd - Variable in class elki.datasource.filter.selection.ShuffleObjectsFilter: Random generator.
rnd - Variable in class elki.datasource.filter.transform.HistogramJitterFilter.Par: Random generator seed.
rnd - Variable in class elki.datasource.filter.transform.HistogramJitterFilter: Random generator.
rnd - Variable in class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Par: Random generator.
rnd - Variable in class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter: Holds a random generator.
rnd - Variable in class elki.datasource.RandomDoubleVectorDatabaseConnection.Par: Random generator.
rnd - Variable in class elki.datasource.RandomDoubleVectorDatabaseConnection: Random generator
rnd - Variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.Par: Random factory.
rnd - Variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Random factory.
rnd - Variable in class elki.index.preprocessed.knn.NNDescent.Factory: Random generator
rnd - Variable in class elki.index.preprocessed.knn.NNDescent: Random generator
rnd - Variable in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Par: Random generator
rnd - Variable in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory: Random generator
rnd - Variable in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor: Random generator
rnd - Variable in class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory: Random generator
rnd - Variable in class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor: Random generator
rnd - Variable in class elki.index.tree.metrical.vptree.VPTree.Builder: Random generator
rnd - Variable in class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Par: Random generator
rnd - Variable in class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder: Random generator
rnd - Variable in class elki.math.statistics.dependence.HiCSDependence.Par: Random generator.
rnd - Variable in class elki.math.statistics.dependence.HiCSDependence: Random generator
rnd - Variable in class elki.math.statistics.dependence.mcde.MWPTest: Random generator.
rnd - Variable in class elki.math.statistics.dependence.MCDEDependence.Par: Random generator.
rnd - Variable in class elki.math.statistics.dependence.MCDEDependence: Random generator.
rnd - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution.Par: Generator to choose random parameters.
rnd - Variable in class elki.outlier.density.IsolationForest.ForestBuilder: Random generator
rnd - Variable in class elki.outlier.density.IsolationForest.Par: Random generator
rnd - Variable in class elki.outlier.density.IsolationForest: Random generator
rnd - Variable in class elki.outlier.lof.ALOCI.Par: Random generator
rnd - Variable in class elki.outlier.lof.ALOCI: Random generator
rnd - Variable in class elki.outlier.meta.FeatureBagging.Par: Random generator.
rnd - Variable in class elki.outlier.meta.FeatureBagging: Random number generator for subspace choice.
rnd - Variable in class elki.outlier.meta.HiCS: Random generator.
rnd - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.Par: Random generator
rnd - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary: Random generator.
rnd - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance: Random generator.
rnd - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Par: Random generator
rnd - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm: Random generator
rnd - Variable in class elki.utilities.referencepoints.RandomGeneratedReferencePoints.Par: Random generator.
rnd - Variable in class elki.utilities.referencepoints.RandomGeneratedReferencePoints: Random generator.
rnd - Variable in class elki.utilities.referencepoints.RandomSampleReferencePoints.Par: Random generator.
rnd - Variable in class elki.utilities.referencepoints.RandomSampleReferencePoints: Random generator.
rnd - Variable in class elki.visualization.VisualizerParameterizer: Random seed for sampling.
rnds - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster: The random generators for each axis.
rng - Variable in class elki.index.laesa.LAESA.Factory.Par: Random generator
rng - Variable in class elki.index.laesa.LAESA.Factory: Random generator
rng - Variable in class elki.index.laesa.LAESA: Random generator
ROCEvaluation - Class in elki.evaluation.scores: Compute ROC (Receiver Operating Characteristics) curves.
ROCEvaluation() - Constructor for class elki.evaluation.scores.ROCEvaluation
ROCEvaluation.Par - Class in elki.evaluation.scores: Parameterization class.
ROCEvaluation.ROCurve - Class in elki.evaluation.scores: ROC Curve
ROCurve() - Constructor for class elki.evaluation.scores.ROCEvaluation.ROCurve: Constructor.
root - Variable in class elki.clustering.hierarchical.birch.CFTree: Current root node.
root - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.Instance: The root node of the tree
root - Variable in class elki.index.tree.betula.CFTree: Current root node.
root - Variable in class elki.index.tree.metrical.covertree.CoverTree: Tree root.
root - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree: Tree root.
root - Variable in class elki.index.tree.metrical.vptree.GNAT: Root node from the tree
root - Variable in class elki.index.tree.metrical.vptree.VPTree: Root node from the tree
root - Variable in class elki.index.tree.spatial.kd.MemoryKDTree: Root node (KDNode or IntIntPair)
root - Variable in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree: The root of this flat RTree.
root - Variable in class elki.outlier.density.HySortOD.TreeStrategy: Tree root.
root - Variable in class elki.outlier.lof.ALOCI.ALOCIQuadTree: Tree root
root - Variable in class elki.visualization.svg.SVGPlot: Root element of the document.
rootEntry - Variable in class elki.index.tree.IndexTree: The entry representing the root node.
rotate90Equals(double[]) - Static method in class elki.math.linearalgebra.VMath: Rotate the two-dimensional vector by 90 degrees.
rotated - Variable in class elki.visualization.visualizers.visunproj.LabelVisualization: Flag to indicate rotated labels (90 deg to the left)
rotationZ - Variable in class elki.visualization.parallel3d.util.Simple1DOFCamera: Rotation on X axis.
rouletteRankSelection(ArrayList<AggarwalYuEvolutionary.Individuum>) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch: Select surviving individuums weighted by rank.
roundToPageSize(long) - Method in class elki.index.vafile.PartialVAFile: Round a value to the next page size.
routingDist - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher: Distance to routing object.
routingDist - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher: Distance to routing object.
routingDistance - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeSearchCandidate: The distance from the query object to the routing object
routingObjectID - Variable in class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: The id of routing object of this entry.
routingObjectID - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeSearchCandidate: The id of the routing object.
row - Variable in class elki.math.linearalgebra.LinearEquationSystem: Encodes row permutations, row i is at position row[i].
rowcard - Variable in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate: Cardinalities.
rowIDs - Variable in class elki.clustering.biclustering.AbstractBiclustering: The row ids corresponding to the currently set AbstractBiclustering.relation.
rowM - Variable in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate: Means.
rowPackedCopy(double[][]) - Static method in class elki.math.linearalgebra.VMath: Make a one-dimensional row packed copy of the internal array.
rows - Variable in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate: Row and column bitmasks.
rows - Variable in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter: Row cache.
rowsBitsetToIDs(long[]) - Method in class elki.clustering.biclustering.AbstractBiclustering: Convert a bitset into integer row ids.
rowsBitsetToIDs(BitSet) - Method in class elki.clustering.biclustering.AbstractBiclustering: Convert a bitset into integer row ids.
rowSum(int) - Method in class elki.evaluation.classification.ConfusionMatrix: The number of instances present in the specified row.
RPRECISION - Static variable in class elki.evaluation.scores.PrecisionAtKEvaluation: Static instance
rptr - Variable in class elki.utilities.datastructures.KuhnMunkresWong: Pointer to the minimum non-marked value, for each row.
rq - Variable in class elki.clustering.dbscan.predicates.EpsilonNeighborPredicate.Instance: Range query to use on the database.
rq - Variable in class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate.Instance: Range query to use on the database.
RR - elki.visualization.svg.SVGSimpleLinearAxis.Alignment
rsel - Variable in class elki.utilities.datastructures.KuhnMunkres: Selected ("starred") column per row, -1 if not selected.
RSTAR_OVERFLOW - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment: Default insert strategy used by R*-tree
RStarTree - Class in elki.index.tree.spatial.rstarvariants.rstar: RStarTree is a spatial index structure based on the concepts of the R*-Tree.
RStarTree(PageFile<RStarTreeNode>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.rstar.RStarTree: Constructor.
RStarTreeDistancePrioritySearcher<O extends SpatialComparable> - Class in elki.index.tree.spatial.rstarvariants.query: Instance of priority search for a particular spatial index.
RStarTreeDistancePrioritySearcher(AbstractRStarTree<?, ?, ?>, Relation<? extends O>, SpatialPrimitiveDistance<? super O>) - Constructor for class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher: Constructor.
RStarTreeFactory<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.rstar: Factory for regular R*-Trees.
RStarTreeFactory(PageFileFactory<?>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory: Constructor.
RStarTreeIndex<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.rstar: The common use of the rstar tree: indexing number vectors.
RStarTreeIndex(Relation<O>, PageFile<RStarTreeNode>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Constructor.
RStarTreeKNNSearcher<O extends SpatialComparable> - Class in elki.index.tree.spatial.rstarvariants.query: Instance of a KNN query for a particular spatial index.
RStarTreeKNNSearcher(AbstractRStarTree<?, ?, ?>, Relation<? extends O>, SpatialPrimitiveDistance<? super O>) - Constructor for class elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNSearcher: Constructor.
RStarTreeNode - Class in elki.index.tree.spatial.rstarvariants.rstar: Represents a node in an R*-Tree.
RStarTreeNode() - Constructor for class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode: Empty constructor for Externalizable interface.
RStarTreeNode(int, boolean) - Constructor for class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode: Creates a new RStarTreeNode with the specified parameters.
RStarTreeRangeSearcher<O extends SpatialComparable> - Class in elki.index.tree.spatial.rstarvariants.query: Instance of a range query for a particular spatial index.
RStarTreeRangeSearcher(AbstractRStarTree<?, ?, ?>, Relation<? extends O>, SpatialPrimitiveDistance<? super O>) - Constructor for class elki.index.tree.spatial.rstarvariants.query.RStarTreeRangeSearcher: Constructor.
RStarTreeUtil - Class in elki.index.tree.spatial.rstarvariants.query: Utility class for RStar trees.
RStarTreeUtil() - Constructor for class elki.index.tree.spatial.rstarvariants.query.RStarTreeUtil: Private constructor.
rtag - Variable in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance: Element for selection rectangle
rtag - Variable in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance: Element for selection rectangle
rtag - Variable in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance: Element to contain the drag arrow
rtag - Variable in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance: Element for selection rectangle.
rtag - Variable in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance: Element for selection rectangle
RTreeLinearSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.split: Linear-time complexity greedy split as used by the original R-Tree.
RTreeLinearSplit() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.split.RTreeLinearSplit
RTreeLinearSplit.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.split: Parameterization class.
RTreeParallelVisualization - Class in elki.visualization.visualizers.parallel.index: Visualize the of an R-Tree based index.
RTreeParallelVisualization(RTreeParallelVisualization.Par) - Constructor for class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization: Constructor.
RTreeParallelVisualization.Instance<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in elki.visualization.visualizers.parallel.index: Instance for a particular data set and tree
RTreeParallelVisualization.Par - Class in elki.visualization.visualizers.parallel.index: Parameterization class.
RTreeQuadraticSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.split: Quadratic-time complexity greedy split as used by the original R-Tree.
RTreeQuadraticSplit() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.split.RTreeQuadraticSplit
RTreeQuadraticSplit.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.split: Parameterization class.
RTreeSettings - Class in elki.index.tree.spatial.rstarvariants: Class to wrap common Rtree settings.
RTreeSettings() - Constructor for class elki.index.tree.spatial.rstarvariants.RTreeSettings: Constructor with default values.
RTreeSettings(BulkSplit) - Constructor for class elki.index.tree.spatial.rstarvariants.RTreeSettings: Constructor with default values and bulk loader.
rule - Variable in class elki.outlier.clustering.KMeansOutlierDetection: Outlier scoring rule
Rule() - Constructor for enum elki.outlier.clustering.KMeansOutlierDetection.Rule
rules - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Instance: List of generated rules.
rules - Variable in class elki.result.AssociationRuleResult: Association rules together with the interestingness measure.
run() - Method in class elki.application.AbstractApplication: Runs the application.
run() - Method in class elki.application.benchmark.KNNBenchmark
run() - Method in class elki.application.benchmark.PrioritySearchBenchmark
run() - Method in class elki.application.benchmark.RangeQueryBenchmark
run() - Method in class elki.application.benchmark.ValidateApproximativeKNNIndex
run() - Method in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
run() - Method in class elki.application.cache.CacheDoubleDistanceKNNLists
run() - Method in class elki.application.cache.CacheDoubleDistanceRangeQueries
run() - Method in class elki.application.cache.CacheFloatDistanceInOnDiskMatrix
run() - Method in class elki.application.cache.PrecomputeDistancesAsciiApplication
run() - Method in class elki.application.ClassifierHoldoutEvaluationTask
run() - Method in class elki.application.ConvertToBundleApplication
run() - Method in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators
run() - Method in class elki.application.experiments.ORLibBenchmark
run() - Method in class elki.application.experiments.VisualizeGeodesicDistances
run() - Method in class elki.application.GeneratorXMLSpec
run() - Method in class elki.application.greedyensemble.ComputeKNNOutlierScores
run() - Method in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores
run() - Method in class elki.application.greedyensemble.GreedyEnsembleExperiment
run() - Method in class elki.application.greedyensemble.VisualizePairwiseGainMatrix
run() - Method in class elki.application.KDDCLIApplication
run() - Method in class elki.application.statistics.EstimateIntrinsicDimensionality
run() - Method in class elki.application.statistics.RangeQuerySelectivity
run() - Method in class elki.clustering.correlation.HiCO.Instance
run() - Method in class elki.clustering.dbscan.GeneralizedDBSCAN.Instance: Run the actual GDBSCAN algorithm.
run() - Method in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance: Run the parallel GDBSCAN algorithm.
run() - Method in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Instance: Extract all clusters from the pi-lambda-representation.
run() - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance: Extract all clusters from the pi-lambda-representation.
run() - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance: Extract all clusters from the pi-lambda-representation.
run() - Method in class elki.clustering.optics.GeneralizedOPTICS.Instance: Process the data set.
run() - Method in class elki.clustering.optics.OPTICSHeap.Instance: Process the data set.
run() - Method in class elki.clustering.optics.OPTICSList.Instance: Process the data set.
run() - Method in class elki.clustering.subspace.DiSH.Instance
run() - Method in class elki.clustering.subspace.HiSC.Instance
run() - Method in class elki.gui.minigui.MiniGUI
run() - Method in class elki.gui.multistep.MultiStepGUI
run() - Method in class elki.KDDTask: Method to run the specified algorithm using the specified database connection.
run() - Method in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Iterate until convergence, at most 100 times.
run() - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch: Run the evolutionary search.
run() - Method in class elki.parallel.SingleThreadedExecutor.SingleThreadedRunner
run() - Method in class elki.result.Metadata.CleanerThread
run() - Method in class elki.visualization.batikutil.AttributeModifier
run() - Method in class elki.visualization.batikutil.NodeAppendChild
run() - Method in class elki.visualization.batikutil.NodeReplaceAllChildren
run() - Method in class elki.visualization.batikutil.NodeReplaceByID
run() - Method in class elki.visualization.batikutil.NodeSubstitute
run() - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
run() - Method in class elki.visualization.visualizers.thumbs.ThumbnailThread
run(boolean) - Method in class elki.math.geometry.SweepHullDelaunay2D: Run the actual algorithm
run(double[][]) - Method in class elki.utilities.datastructures.KuhnMunkres: Perform the Kuhn-Munkres algorithm.
run(double[][]) - Method in class elki.utilities.datastructures.KuhnMunkresStern
run(double[][]) - Method in class elki.utilities.datastructures.KuhnMunkresWong: Perform the Kuhn-Munkres algorithm.
run(double[][], int) - Method in class elki.clustering.hierarchical.birch.BIRCHKMeansPlusPlus: Perform k-means++ initialization.
run(int) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Run the clustering.
run(int) - Method in class elki.clustering.kmeans.initialization.KMC2.Instance: Run k-means++ initialization for number vectors.
run(int) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus.MedoidsInstance
run(int) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus.NumberVectorInstance: Run k-means++ initialization for number vectors.
run(int) - Method in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Instance: Run k-means++ initialization for number vectors.
run(int) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance
run(int) - Method in class elki.clustering.kmeans.YinYangKMeans.Instance
run(ClusterDistanceMatrix, ClusterMergeHistoryBuilder) - Method in class elki.clustering.hierarchical.AGNES.Instance: Run the main algorithm.
run(ClusterDistanceMatrix, ClusterMergeHistoryBuilder) - Method in class elki.clustering.hierarchical.Anderberg.Instance
run(ClusterDistanceMatrix, ClusterMergeHistoryBuilder) - Method in class elki.clustering.hierarchical.HACAM.Instance
run(ClusterDistanceMatrix, ClusterMergeHistoryBuilder) - Method in class elki.clustering.hierarchical.MedoidLinkage.Instance
run(ClusterDistanceMatrix, ClusterMergeHistoryBuilder) - Method in class elki.clustering.hierarchical.MiniMax.Instance
run(ClusterDistanceMatrix, ClusterMergeHistoryBuilder) - Method in class elki.clustering.hierarchical.NNChain.Instance
run(ClusterMergeHistory) - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram: Process a pointer hierarchy result.
run(ClusterMergeHistory) - Method in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction: Process an existing result.
run(ClusterMergeHistory) - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight
run(ClusterMergeHistory) - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters
run(ClusterMergeHistory) - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction: Process an existing result.
run(ClusterMergeHistory) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction: Process an existing result.
run(ClusterOrder) - Method in class elki.clustering.optics.OPTICSXi: Process the cluster order of an OPTICS clustering.
run(Database) - Method in class elki.algorithm.statistics.AddSingleScale: Run the algorithm on all vector relations of a database.
run(Database) - Method in class elki.algorithm.statistics.AddUniformScale: Run the algorithm on all vector relations of a database.
run(Database) - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram: Run the algorithms on a database.
run(Database, Relation<? extends NumberVector>) - Method in class elki.clustering.correlation.COPAC: Run the COPAC algorithm.
run(Database, Relation<? extends NumberVector>) - Method in class elki.clustering.correlation.ERiC: Performs the ERiC algorithm on the given database.
run(Database, Relation<? extends NumberVector>) - Method in class elki.outlier.clustering.DBSCANOutlierDetection: Runs the algorithm in the timed evaluation part.
run(Database, Relation<? extends NumberVector>) - Method in class elki.outlier.clustering.GLOSH
run(Database, Relation<? extends NumberVector>) - Method in class elki.outlier.density.HySortOD
run(Database, Relation<? extends UncertainObject>) - Method in class elki.clustering.uncertain.RepresentativeUncertainClustering: This run method will do the wrapping.
run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuMedianAlgorithm: Main method.
run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuMoranScatterplotOutlier: Main method.
run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuScatterplotOutlier: Main method.
run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuZTestOutlier: Main method.
run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.TrimmedMeanApproach: Run the algorithm.
run(Database, Relation<N>, Relation<O>) - Method in class elki.outlier.spatial.CTLuMeanMultipleAttributes: Run the algorithm
run(Database, Relation<N>, Relation<O>) - Method in class elki.outlier.spatial.CTLuMedianMultipleAttributes: Run the algorithm
run(Database, Relation<N>, Relation<O>) - Method in class elki.outlier.spatial.SLOM
run(Database, Relation<N>, Relation<O>) - Method in class elki.outlier.spatial.SOF: The main run method
run(Database, Relation<O>) - Method in class elki.algorithm.statistics.DistanceStatisticsWithClasses
run(Database, Relation<O>) - Method in class elki.algorithm.statistics.RankingQualityHistogram: Process a relation
run(Database, Relation<O>) - Method in class elki.outlier.clustering.CBLOF: Run CBLOF.
run(Database, Relation<O>) - Method in class elki.projection.BarnesHutTSNE
run(Database, Relation<V>) - Method in class elki.algorithm.statistics.EvaluateRankingQuality: Run the algorithm.
run(ArrayDBIDs, ClusterDistanceMatrix, ClusterMergeHistoryBuilder, DistanceQuery<?>) - Method in class elki.clustering.hierarchical.MedoidLinkage.Instance: Run medoid linkage
run(ArrayDBIDs, ClusterDistanceMatrix, ClusterMergeHistoryBuilder, DistanceQuery<?>, DBIDArrayMIter) - Method in class elki.clustering.hierarchical.HACAM.Instance: Run HACAM linkage
run(ArrayDBIDs, ClusterDistanceMatrix, ClusterMergeHistoryBuilder, DistanceQuery<?>, DBIDArrayMIter) - Method in class elki.clustering.hierarchical.MiniMax.Instance
run(ArrayDBIDs, ClusterDistanceMatrix, ClusterMergeHistoryBuilder, DistanceQuery<?>, DBIDArrayMIter) - Method in class elki.clustering.hierarchical.MiniMaxAnderberg.Instance
run(ArrayDBIDs, ClusterDistanceMatrix, ClusterMergeHistoryBuilder, DistanceQuery<?>, DBIDArrayMIter) - Method in class elki.clustering.hierarchical.MiniMaxNNChain.Instance
run(ArrayDBIDs, Relation<O>, ClusterMergeHistoryBuilder) - Method in class elki.clustering.hierarchical.LinearMemoryNNChain.Instance
run(ArrayModifiableDBIDs) - Method in class elki.clustering.kmedoids.SingleAssignmentKMedoids.Instance: Run the PAM optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.kmedoids.EagerPAM.Instance: Run the EagerPAM optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.kmedoids.FasterPAM.Instance: Run the PAM optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.kmedoids.FastPAM.Instance: Run the PAM optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.kmedoids.FastPAM1.Instance: Run the FastPAM optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.kmedoids.PAM.Instance: Run the PAM optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.kmedoids.ReynoldsPAM.Instance: Run the PAM optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.silhouette.FasterMSC.Instance: Run the FasterMSC optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.silhouette.FasterMSC.Instance2: Run the FasterMSC optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.silhouette.FastMSC.Instance: Run the FastMSC optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.silhouette.FastMSC.Instance2: Run the FastMSC optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.silhouette.PAMMEDSIL.Instance: Run the PAMMEDSIL optimization phase.
run(ArrayModifiableDBIDs, int) - Method in class elki.clustering.silhouette.PAMSIL.Instance: Run the PAMSIL optimization phase.
run(DBIDs, Processor...) - Static method in class elki.parallel.ParallelExecutor: Run a task on all available CPUs.
run(DBIDs, Processor...) - Static method in class elki.parallel.SingleThreadedExecutor: Run a task on a single thread.
run(KNNSearcher<DBIDRef>, Relation<O>, Duration, MeanVariance, MeanVariance) - Method in class elki.application.benchmark.KNNBenchmark: Run with the database as query source
run(KNNSearcher<O>, Duration, MeanVariance, MeanVariance) - Method in class elki.application.benchmark.KNNBenchmark: Run using a second database as query source
run(PrioritySearcher<DBIDRef>, Relation<O>, Duration, MeanVariance, MeanVariance) - Method in class elki.application.benchmark.PrioritySearchBenchmark: Run with the database as query source
run(PrioritySearcher<O>, Duration, MeanVariance, MeanVariance) - Method in class elki.application.benchmark.PrioritySearchBenchmark: Run using a second database as query source
run(RangeSearcher<DBIDRef>, Relation<O>, double, Duration, MeanVariance) - Method in class elki.application.benchmark.RangeQueryBenchmark: Run the algorithm, with constant radius
run(RangeSearcher<DBIDRef>, Relation<O>, Relation<NumberVector>, Duration, MeanVariance) - Method in class elki.application.benchmark.RangeQueryBenchmark: Run the algorithm, with separate radius relation
run(RangeSearcher<O>, Relation<O>, DatabaseConnection, Duration, MeanVariance) - Method in class elki.application.benchmark.RangeQueryBenchmark: Run the algorithm, with a separate query set.
run(Relation<?>) - Method in class elki.clustering.trivial.ByLabelClustering: Run the actual clustering algorithm.
run(Relation<?>) - Method in class elki.clustering.trivial.ByLabelHierarchicalClustering: Run the actual clustering algorithm.
run(Relation<?>) - Method in class elki.clustering.trivial.TrivialAllInOne: Perform trivial clustering.
run(Relation<?>) - Method in class elki.clustering.trivial.TrivialAllNoise: Run the trivial clustering algorithm.
run(Relation<?>) - Method in class elki.outlier.meta.ExternalDoubleOutlierScore: Run the algorithm.
run(Relation<?>) - Method in class elki.outlier.trivial.ByLabelOutlier: Run the algorithm
run(Relation<?>) - Method in class elki.outlier.trivial.TrivialAllOutlier: Run the trivial algorithm.
run(Relation<?>) - Method in class elki.outlier.trivial.TrivialNoOutlier: Run the trivial algorithm.
run(Relation<? extends NumberVector>) - Method in class elki.algorithm.statistics.AddSingleScale: Add scales to a single vector relation.
run(Relation<? extends NumberVector>) - Method in class elki.algorithm.statistics.AddUniformScale: Add scales to a single vector relation.
run(Relation<? extends NumberVector>) - Method in class elki.clustering.biclustering.AbstractBiclustering: Prepares the algorithm for running on a specific database.
run(Relation<? extends NumberVector>) - Method in class elki.clustering.correlation.CASH: Run CASH on the relation.
run(Relation<? extends NumberVector>) - Method in class elki.clustering.correlation.HiCO: Run the HiCO algorithm.
run(Relation<? extends NumberVector>) - Method in class elki.clustering.correlation.LMCLUS: The main LMCLUS (Linear manifold clustering algorithm) is processed in this method.
run(Relation<? extends NumberVector>) - Method in class elki.clustering.correlation.ORCLUS: Performs the ORCLUS algorithm on the given database.
run(Relation<? extends NumberVector>) - Method in class elki.clustering.em.KDTreeEM: Calculates the EM Clustering with the given values by calling makeStats and calculation the new models from the given results
run(Relation<? extends NumberVector>) - Method in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering: Run the clustering algorithm on a data relation.
run(Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.CLIQUE: Performs the CLIQUE algorithm on the given database.
run(Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.DiSH: Performs the DiSH algorithm on the given database.
run(Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.DOC: Performs the DOC or FastDOC (as configured) algorithm.
run(Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.HiSC: Run the HiSC algorithm
run(Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.P3C: Performs the P3C algorithm on the given Database.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.density.IsolationForest: Run the isolation forest algorithm.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection: Run the algorithm on the given relation.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.GaussianModel: Run the algorithm
run(Relation<? extends NumberVector>) - Method in class elki.outlier.GaussianUniformMixture: Run the algorithm
run(Relation<? extends NumberVector>) - Method in class elki.outlier.meta.HiCS: Perform HiCS on a given database.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary: Performs the evolutionary algorithm on the given database.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.subspace.AggarwalYuNaive: Run the algorithm on the given relation.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.subspace.OUTRES: Main loop for OUTRES
run(Relation<? extends NumberVector>) - Method in class elki.outlier.trivial.TrivialAverageCoordinateOutlier: Run the actual algorithm.
run(Relation<? extends NumberVector>, int) - Method in class elki.clustering.kmeans.initialization.Ostrovsky.NumberVectorInstance
run(Relation<? extends SpatialComparable>) - Method in class elki.algorithm.KNNJoin: Joins in the given spatial database to each object its k-nearest neighbors.
run(Relation<? extends SpatialComparable>, DBIDs) - Method in class elki.algorithm.KNNJoin: Inner run method.
run(Relation<? extends UncertainObject>) - Method in class elki.clustering.uncertain.CenterOfMassMetaClustering: This run method will do the wrapping.
run(Relation<BitVector>) - Method in class elki.itemsetmining.APRIORI: Performs the APRIORI algorithm on the given database.
run(Relation<BitVector>) - Method in class elki.itemsetmining.Eclat: Run the Eclat algorithm
run(Relation<BitVector>) - Method in class elki.itemsetmining.FPGrowth: Run the FP-Growth algorithm
run(Relation<DoubleVector>) - Method in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance: Run the change point detection algorithm on a data relation.
run(Relation<DoubleVector>) - Method in class elki.timeseries.OfflineChangePointDetectionAlgorithm: Executes multiple change point detection for given relation
run(Relation<Model>) - Method in class elki.clustering.trivial.ByModelClustering: Run the actual clustering algorithm.
run(Relation<Model>, Relation<NumberVector>, Relation<?>) - Method in class elki.outlier.trivial.TrivialGeneratedOutlier: Run the algorithm
run(Relation<NumberVector>) - Method in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency: Compute the Hopkins statistic for a vector relation.
run(Relation<NumberVector>) - Method in class elki.clustering.BetulaLeafPreClustering: Run the clustering algorithm.
run(Relation<NumberVector>) - Method in class elki.clustering.em.BetulaGMM: Run the clustering algorithm.
run(Relation<NumberVector>) - Method in class elki.clustering.hierarchical.birch.BIRCHLeafClustering: Run the clustering algorithm.
run(Relation<NumberVector>) - Method in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans: Run the clustering algorithm.
run(Relation<NumberVector>) - Method in class elki.clustering.kmeans.BetulaLloydKMeans: Run the clustering algorithm.
run(Relation<NumberVector>) - Method in class elki.clustering.svm.SupportVectorClustering: perform clustering
run(Relation<NumberVector>) - Method in class elki.outlier.meta.FeatureBagging: Run the algorithm on a data set.
run(Relation<NumberVector>) - Method in class elki.timeseries.SigniTrendChangeDetection.Instance: Process a relation.
run(Relation<NumberVector>) - Method in class elki.timeseries.SigniTrendChangeDetection: Executes Signi-Trend for given relation
run(Relation<DiscreteUncertainObject>) - Method in class elki.clustering.uncertain.UKMeans: Run the clustering.
run(Relation<O>) - Method in class elki.algorithm.KNNDistancesSampler: Provides an order of the kNN-distances for all objects within the specified database.
run(Relation<O>) - Method in class elki.algorithm.statistics.DistanceQuantileSampler: Run the distance quantile sampler.
run(Relation<O>) - Method in class elki.clustering.affinitypropagation.AffinityPropagation: Perform affinity propagation clustering.
run(Relation<O>) - Method in class elki.clustering.CanopyPreClustering: Run the canopy clustering algorithm
run(Relation<O>) - Method in class elki.clustering.CFSFDP: Perform CFSFDP clustering.
run(Relation<O>) - Method in class elki.clustering.dbscan.DBSCAN: Performs the DBSCAN algorithm on the given database.
run(Relation<O>) - Method in class elki.clustering.dbscan.LSDBC: Run the LSDBC algorithm
run(Relation<O>) - Method in class elki.clustering.em.EM: Performs the EM clustering algorithm on the given database.
run(Relation<O>) - Method in class elki.clustering.hierarchical.AGNES: Run the algorithm
run(Relation<O>) - Method in class elki.clustering.hierarchical.Anderberg
run(Relation<O>) - Method in class elki.clustering.hierarchical.HACAM: Run the algorithm
run(Relation<O>) - Method in class elki.clustering.hierarchical.HDBSCANLinearMemory: Run the algorithm
run(Relation<O>) - Method in class elki.clustering.hierarchical.LinearMemoryNNChain: Run the NNchain algorithm.
run(Relation<O>) - Method in class elki.clustering.hierarchical.MedoidLinkage: Run the algorithm
run(Relation<O>) - Method in class elki.clustering.hierarchical.MiniMax: Run the algorithm on a database.
run(Relation<O>) - Method in class elki.clustering.hierarchical.MiniMaxAnderberg: Run the algorithm
run(Relation<O>) - Method in class elki.clustering.hierarchical.MiniMaxNNChain: Run the algorithm
run(Relation<O>) - Method in class elki.clustering.hierarchical.NNChain
run(Relation<O>) - Method in class elki.clustering.hierarchical.SLINK: Performs the SLINK algorithm on the given database.
run(Relation<O>) - Method in class elki.clustering.hierarchical.SLINKHDBSCANLinearMemory: Run the algorithm
run(Relation<O>) - Method in class elki.clustering.kcenter.GreedyKCenter: Perform greedy k-center clustering on the relation.
run(Relation<O>) - Method in class elki.clustering.kmedoids.AlternatingKMedoids
run(Relation<O>) - Method in class elki.clustering.kmedoids.CLARANS: Run CLARANS clustering.
run(Relation<O>) - Method in class elki.clustering.kmedoids.FasterCLARA
run(Relation<O>) - Method in interface elki.clustering.kmedoids.KMedoidsClustering: Run k-medoids clustering.
run(Relation<O>) - Method in class elki.clustering.kmedoids.PAM
run(Relation<O>) - Method in class elki.clustering.Leader: Run the leader clustering algorithm.
run(Relation<O>) - Method in class elki.clustering.optics.AbstractOPTICS: Run OPTICS on the database.
run(Relation<O>) - Method in class elki.clustering.optics.OPTICSHeap
run(Relation<O>) - Method in class elki.clustering.optics.OPTICSList
run(Relation<O>) - Method in class elki.clustering.SNNClustering: Perform SNN clustering
run(Relation<O>) - Method in class elki.outlier.clustering.KMeansOutlierDetection: Run the outlier detection algorithm.
run(Relation<O>) - Method in class elki.outlier.distance.AbstractDBOutlier: Runs the algorithm in the timed evaluation part.
run(Relation<O>) - Method in class elki.outlier.distance.HilOut: Run the HilOut algorithm.
run(Relation<O>) - Method in class elki.outlier.distance.KNNDD: Runs the algorithm in the timed evaluation part.
run(Relation<O>) - Method in class elki.outlier.distance.KNNOutlier: Runs the algorithm in the timed evaluation part.
run(Relation<O>) - Method in class elki.outlier.distance.KNNSOS: Run the algorithm.
run(Relation<O>) - Method in class elki.outlier.distance.KNNWeightOutlier: Runs the algorithm in the timed evaluation part.
run(Relation<O>) - Method in class elki.outlier.distance.LocalIsolationCoefficient: Runs the algorithm in the timed evaluation part.
run(Relation<O>) - Method in class elki.outlier.distance.ODIN: Run the ODIN algorithm
run(Relation<O>) - Method in class elki.outlier.distance.parallel.ParallelKNNOutlier: Run the parallel kNN outlier detector.
run(Relation<O>) - Method in class elki.outlier.distance.parallel.ParallelKNNWeightOutlier: Run the parallel kNN weight outlier detector.
run(Relation<O>) - Method in class elki.outlier.distance.SOS: Run the algorithm.
run(Relation<O>) - Method in class elki.outlier.DWOF: Performs the Generalized DWOF_SCORE algorithm on the given database by calling all the other methods in the proper order.
run(Relation<O>) - Method in class elki.outlier.intrinsic.IDOS: Run the algorithm
run(Relation<O>) - Method in class elki.outlier.intrinsic.ISOS: Run the algorithm.
run(Relation<O>) - Method in class elki.outlier.intrinsic.LID: Run the algorithm
run(Relation<O>) - Method in class elki.outlier.lof.COF: Runs the COF algorithm on the given database.
run(Relation<O>) - Method in class elki.outlier.lof.FlexibleLOF: Performs the Generalized LOF algorithm on the given database by calling FlexibleLOF.doRunInTime(elki.database.ids.DBIDs, elki.database.query.knn.KNNSearcher<elki.database.ids.DBIDRef>, elki.database.query.knn.KNNSearcher<elki.database.ids.DBIDRef>, elki.logging.progress.StepProgress).
run(Relation<O>) - Method in class elki.outlier.lof.INFLO: Run the algorithm
run(Relation<O>) - Method in class elki.outlier.lof.KDEOS: Run the KDEOS outlier detection algorithm.
run(Relation<O>) - Method in class elki.outlier.lof.LDF: Run the naive kernel density LOF algorithm.
run(Relation<O>) - Method in class elki.outlier.lof.LDOF: Run the algorithm
run(Relation<O>) - Method in class elki.outlier.lof.LOCI: Run the algorithm
run(Relation<O>) - Method in class elki.outlier.lof.LOF: Runs the LOF algorithm on the given database.
run(Relation<O>) - Method in class elki.outlier.lof.LoOP: Performs the LoOP algorithm on the given database.
run(Relation<O>) - Method in class elki.outlier.lof.OnlineLOF: Performs the Generalized LOF_SCORE algorithm on the given database by calling #doRunInTime(Database) and adds a OnlineLOF.LOFKNNListener to the preprocessors.
run(Relation<O>) - Method in class elki.outlier.lof.parallel.ParallelLOF: Run the LOF algorithm in parallel.
run(Relation<O>) - Method in class elki.outlier.lof.parallel.ParallelSimplifiedLOF: Run the simplified LOF algorithm.
run(Relation<O>) - Method in class elki.outlier.lof.SimpleKernelDensityLOF: Run the naive kernel density LOF algorithm.
run(Relation<O>) - Method in class elki.outlier.lof.SimplifiedLOF: Run the Simple LOF algorithm.
run(Relation<O>) - Method in class elki.outlier.lof.VarianceOfVolume: Runs the VOV algorithm on the given database.
run(Relation<O>) - Method in class elki.outlier.OPTICSOF: Perform OPTICS-based outlier detection.
run(Relation<O>) - Method in class elki.projection.SNE: Perform SNE projection.
run(Relation<O>) - Method in class elki.projection.TSNE: Perform tSNE projection.
run(Relation<O>) - Method in class tutorial.clustering.CFSFDP: Perform CFSFDP clustering.
run(Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1: Perform HAC
run(Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2: Perform HAC
run(Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3: Perform HAC
run(Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4: Run the algorithm
run(Relation<O>) - Method in class tutorial.outlier.DistanceStddevOutlier: Run the outlier detection algorithm
run(Relation<O>) - Method in class tutorial.outlier.ODIN: Run the ODIN algorithm
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.AlternatingKMedoids
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.CLARANS
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.EagerPAM
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.FasterCLARA
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.FasterPAM
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.FastPAM
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.FastPAM1
run(Relation<O>, int, DistanceQuery<? super O>) - Method in interface elki.clustering.kmedoids.KMedoidsClustering: Run k-medoids clustering with a given distance query.
Not a very elegant API, but needed for some types of nested k-medoids.
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.PAM
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.ReynoldsPAM
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.SingleAssignmentKMedoids
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.silhouette.FasterMSC
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.silhouette.FastMSC
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.silhouette.PAMMEDSIL
run(Relation<O>, int, DistanceQuery<? super O>) - Method in class elki.clustering.silhouette.PAMSIL
run(Relation<O>, RangeSearcher<DBIDRef>) - Method in class elki.clustering.dbscan.DBSCAN.Instance: Run the DBSCAN algorithm
run(Relation<O>, Relation<?>) - Method in class elki.algorithm.statistics.AveragePrecisionAtK: Run the algorithm
run(Relation<O>, Relation<?>) - Method in class elki.algorithm.statistics.EvaluateRetrievalPerformance: Run the algorithm
run(Relation<O>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuRandomWalkEC: Run the algorithm.
run(Relation<V>) - Method in class elki.algorithm.DependencyDerivator: Computes quantitatively linear dependencies among the attributes of the given database based on a linear correlation PCA.
run(Relation<V>) - Method in class elki.clustering.dbscan.GriDBSCAN.Instance: Performs the DBSCAN algorithm on the given database.
run(Relation<V>) - Method in class elki.clustering.dbscan.GriDBSCAN: Performs the DBSCAN algorithm on the given database.
run(Relation<V>) - Method in class elki.clustering.kmeans.AnnulusKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.BestOfMultipleKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.BisectingKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.CompareMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.ElkanKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.ExponionKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.FuzzyCMeans: Runs Fuzzy C Means clustering on the given Relation
run(Relation<V>) - Method in class elki.clustering.kmeans.HamerlyKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.HartiganWongKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.KDTreeFilteringKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.KDTreePruningKMeans
run(Relation<V>) - Method in interface elki.clustering.kmeans.KMeans: Run the clustering algorithm.
run(Relation<V>) - Method in class elki.clustering.kmeans.KMeansMinusMinus
run(Relation<V>) - Method in class elki.clustering.kmeans.KMediansLloyd
run(Relation<V>) - Method in class elki.clustering.kmeans.LloydKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.MacQueenKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.parallel.ParallelLloydKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.ShallotKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.SimplifiedElkanKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.SingleAssignmentKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.SortMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.spherical.SphericalElkanKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans
run(Relation<V>) - Method in class elki.clustering.kmeans.XMeans: Run the algorithm on a database and relation.
run(Relation<V>) - Method in class elki.clustering.kmeans.YinYangKMeans
run(Relation<V>) - Method in class elki.clustering.kmedoids.CLARA
run(Relation<V>) - Method in class elki.clustering.kmedoids.FastCLARA
run(Relation<V>) - Method in class elki.clustering.kmedoids.FastCLARANS
run(Relation<V>) - Method in class elki.clustering.NaiveMeanShiftClustering: Run the mean-shift clustering algorithm.
run(Relation<V>) - Method in class elki.clustering.optics.DeLiClu: Run the DeLiClu clustering algorithm.
run(Relation<V>) - Method in class elki.clustering.optics.FastOPTICS: Run the algorithm.
run(Relation<V>) - Method in class elki.clustering.subspace.PROCLUS: Performs the PROCLUS algorithm on the given database.
run(Relation<V>) - Method in class elki.clustering.subspace.SUBCLU: Performs the SUBCLU algorithm on the given database.
run(Relation<V>) - Method in class elki.outlier.anglebased.ABOD: Run ABOD on the data set.
run(Relation<V>) - Method in class elki.outlier.anglebased.FastABOD: Run Fast-ABOD on the data set.
run(Relation<V>) - Method in class elki.outlier.anglebased.LBABOD: Run LB-ABOD on the data set.
run(Relation<V>) - Method in class elki.outlier.clustering.EMOutlier: Runs the algorithm in the timed evaluation part.
run(Relation<V>) - Method in class elki.outlier.COP: Process a single relation.
run(Relation<V>) - Method in class elki.outlier.lof.ALOCI: Run the algorithm.
run(Relation<V>) - Method in class elki.outlier.SimpleCOP: Run Simple COP outlier detection.
run(Relation<V>) - Method in class elki.outlier.subspace.SOD: Performs the SOD algorithm on the given database.
run(Relation<V>) - Method in class elki.outlier.svm.LibSVMOneClassOutlierDetection: Run one-class SVM.
run(Relation<V>) - Method in class elki.outlier.svm.OCSVM: Run one-class SVM.
run(Relation<V>) - Method in class elki.outlier.svm.SVDD: Run one-class SVM.
run(Relation<V>) - Method in class tutorial.clustering.SameSizeKMeans: Run k-means with cluster size constraints.
run(Relation<V>, int, DistanceQuery<? super V>) - Method in class elki.clustering.kmedoids.CLARA
run(Relation<V>, int, DistanceQuery<? super V>) - Method in class elki.clustering.kmedoids.FastCLARA
run(Relation<V>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuGLSBackwardSearchAlgorithm: Run the algorithm
run(CFTree<?>, List<? extends ClusterFeature>, int) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves: Perform k-means++ initialization.
run(AbstractRStarTree<?, ?, ?>, DBIDs) - Method in class elki.algorithm.KNNJoin: Inner run method.
run(FrequentItemsetsResult) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Instance: Process a set of frequent itemsets.
runAlgorithms(Database) - Method in class elki.workflow.AlgorithmStep: Run algorithms.
runButton - Variable in class elki.gui.minigui.MiniGUI: The "run" button.
runButton - Variable in class elki.gui.multistep.panels.ParameterTabPanel: The "run" button.
runCLIApplication(Class<?>, String[]) - Static method in class elki.application.AbstractApplication: Generic command line invocation.
runClusteringAlgorithm(Object, DBIDs, DataStore<DoubleVector>, int, String) - Method in class elki.clustering.uncertain.CenterOfMassMetaClustering: Run a clustering algorithm on a single instance.
runClusteringAlgorithm(Object, DBIDs, DataStore<DoubleVector>, int, String) - Method in class elki.clustering.uncertain.RepresentativeUncertainClustering: Run a clustering algorithm on a single instance.
runDBSCAN(Relation<V>, DBIDs, Subspace) - Method in class elki.clustering.subspace.SUBCLU: Runs the DBSCAN algorithm on the specified partition of the database in the given subspace.
runDBSCANOnCell(DBIDs, Relation<V>, ModifiableDoubleDBIDList, ArrayModifiableDBIDs, int) - Method in class elki.clustering.dbscan.GriDBSCAN.Instance
runDerivator(Relation<ParameterizationFunction>, int, CASHInterval, ModifiableDBIDs) - Method in class elki.clustering.correlation.CASH: Runs the derivator on the specified interval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.
runDerivator(Relation<ParameterizationFunction>, int, DBIDs) - Method in class elki.clustering.correlation.CASH: Runs the derivator on the specified interval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.
runDOC(Relation<? extends NumberVector>, ArrayModifiableDBIDs, int, int, int, int, int) - Method in class elki.clustering.subspace.DOC: Performs a single run of DOC, finding a single cluster.
runDOC(Relation<? extends NumberVector>, ArrayModifiableDBIDs, int, int, int, int, int) - Method in class elki.clustering.subspace.FastDOC: Performs a single run of FastDOC, finding a single cluster.
runEvaluators(Database) - Method in class elki.workflow.EvaluationStep
runForEachK(String, int, int, IntFunction<OutlierResult>, BiConsumer<String, OutlierResult>) - Method in class elki.application.greedyensemble.ComputeKNNOutlierScores: Iterate over the k range.
runner - Variable in class elki.visualization.svg.SVGPlot: Registers changes of this SVGPlot.
runQueue() - Method in class elki.visualization.svg.UpdateRunner: Run the processing queue now.
runResultHandlers(Database) - Method in class elki.workflow.OutputStep: Run the result handlers.
RVEstimator - Class in elki.math.statistics.intrinsicdimensionality: Regularly Varying Functions estimator of the intrinsic dimensionality
RVEstimator() - Constructor for class elki.math.statistics.intrinsicdimensionality.RVEstimator
RVEstimator.Par - Class in elki.math.statistics.intrinsicdimensionality: Parameterization class.

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