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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_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
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
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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