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

R

R - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction

R constant.

R - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.CosineKernelDensityFunction

R constant.

R - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction

R constant.

R - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction

R constant.

R - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction

R constant.

R - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction

R constant.

R - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction

R constant.

R - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.UniformKernelDensityFunction

R constant.

r - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton

Corner rounding factor.

r2 - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle

Circumcircle parameters

RAD2DEG - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Constant for radians to degrees.

rad2deg(double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Radians to Degree.

RadialBasisFunctionKernelFunction - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Gaussian radial basis function kernel (RBF Kernel).

RadialBasisFunctionKernelFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RadialBasisFunctionKernelFunction

Constructor.

RadialBasisFunctionKernelFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Parameterization class.

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

radicalInverse(long) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution

Compute the radical inverse of i.

radius - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity.Parameterizer

Query radius

radius - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity

Query radius

radius - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer

Number of neighbors to precompute.

radius - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries

Query radius.

RADIUS_DISTANCE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Margin between two rings

RADIUS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity.Parameterizer

Parameter to specify the query radius.

RADIUS_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer

Parameter that specifies the query radius to precompute.

RADIUS_INNER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Offset from center to first ring

RADIUS_OUTER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Radius of whole CircleSegments except selection border

RADIUS_SELECTION - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Radius of highlight selection (outer ring)

ralpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter.Parameterizer

ralpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter

The noise tolerance level for weak eigenvectors

rand - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Instance

The random generator to draw the samples with.

rand - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate

The Random object to draw the samples with.

rand - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler.Parameterizer

Random generator.

rand - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler

Random generator.

rand - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainifyFilter.Parameterizer

Random generator.

rand - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainifyFilter

Random generator.

randIndex() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting

Computes the Rand index (RI).

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer

Random generator factory

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm

Random generator factory

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer

Random generator factory

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm

Random generator factory

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer

Random generator factory

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex

Random generator factory

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA.Parameterizer

Random factory for initialization.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA

Random factory for initialization.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd.Parameterizer

Random used for partitioning.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd

Random used for partitioning.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer

Random number generator.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer

Random seeding factory.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer

Random factory for sampling.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering

Random factory for sampling.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

random generator.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK

Random sampling seed.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance

Random sampling seed.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Random source.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency

Random generator seeding.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity.Parameterizer

Random sampling seed.

random - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity

Random sampling seed.

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

Random generator (used for initializing random generators)

random - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter

Random generator

RANDOM - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

Random object to generate the attribute-wise seeds for the noise.

random - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedHoldout.Parameterizer

The random generator.

random - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedHoldout

The random generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily.Parameterizer

Random generator to use.

random - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily

Random generator to use.

random - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.CosineHashFunctionFamily.Parameterizer

Random generator to use.

random - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Parameterizer

Random number generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory

Random number generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor

Random number generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Parameterizer

Random number generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory

Random number generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

Random number generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory.Parameterizer

Random number generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory

Random number generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor

Random number generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer

Random generator.

random - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit

Random generator.

random(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Generate matrix with random elements

random - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.Parameterizer

Random generator.

random - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily

Random generator.

random - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.SimplifiedRandomHyperplaneProjectionFamily

Random generator.

random(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Generate matrix with random elements

random - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution

Random source.

random - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance

Random factory.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer

Parameter for the random generator

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer

Parameter for the random generator

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer

Parameter for the random generator.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

Random seeding

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA.Parameterizer

Random generator.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd.Parameterizer

Random source for blocking.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer

Random seeding parameter.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer

Parameter to specify the random generator.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily.Parameterizer

Parameter for fixing the random seed.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.CosineHashFunctionFamily.Parameterizer

Parameter for fixing the random seed.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.Parameterizer

Random seed parameter.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Parameterizer

Parameter for choosing the number of variants to use.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Parameterizer

Parameter for choosing the number of variants to use.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory.Parameterizer

Parameter for choosing the number of variants to use.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer

Random generator.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit.Parameterizer

Option ID for the random generator.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.Parameterizer

Parameter for the random generator.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution.Parameterizer

Parameter to specify the random seeding source.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints.Parameterizer

Parameter to specify the sample size.

RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints.Parameterizer

Parameter to specify the sample size.

randomBitSet(int, int, Random) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Creates a new BitSet of fixed cardinality with randomly set bits.

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

Produce an array of random numbers in [0:1].

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

Produce an array of random numbers in [0:1].

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

Produce a database of random double vectors with each dimension in [0:1].

RandomDoubleVectorDatabaseConnection(int, int, RandomFactory, List<ObjectFilter>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection

Constructor.

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

Parameterization class.

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

RandomFactory - Class in de.lmu.ifi.dbs.elki.math.random

RandomFactory is responsible for creating Random generator objects.

RandomFactory(long) - Constructor for class de.lmu.ifi.dbs.elki.math.random.RandomFactory

Constructor.

RandomGeneratedReferencePoints - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints

Reference points generated randomly within the used data space.

RandomGeneratedReferencePoints(int, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints

Constructor.

RandomGeneratedReferencePoints.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints

Parameterization class.

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

randomInitialization(double[], Random) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform

Choose a random vector of unit norm for power iterations.

RandomizedCrossValidation - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout

RandomizedCrossValidationHoldout provides a set of partitions of a database to perform cross-validation.

RandomizedCrossValidation(RandomFactory, int) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedCrossValidation

Constructor for n-fold cross-validation.

RandomizedCrossValidation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout

Parameterization class

RandomizedCrossValidation.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedCrossValidation.Parameterizer

RandomizedHoldout - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout

A holdout providing a seed for randomized operations.

RandomizedHoldout(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedHoldout

Sets the parameter seed to the parameterToDescription map.

RandomizedHoldout.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout

Parameterization class

RandomizedHoldout.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedHoldout.Parameterizer

RandomlyChosenInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Initialize K-means by randomly choosing k existing elements as cluster centers.

RandomlyChosenInitialMeans(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.RandomlyChosenInitialMeans

Constructor.

RandomlyChosenInitialMeans.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Parameterization class.

RandomlyChosenInitialMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.RandomlyChosenInitialMeans.Parameterizer

RandomlyGeneratedInitialMeans - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Initialize k-means by generating random vectors (within the data sets value range).

RandomlyGeneratedInitialMeans(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.RandomlyGeneratedInitialMeans

Constructor.

RandomlyGeneratedInitialMeans.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Parameterization class.

RandomlyGeneratedInitialMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.RandomlyGeneratedInitialMeans.Parameterizer

randomNormalizedVector(int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Returns a randomly created vector of length 1.0.

randomNormalizedVector(int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Returns a randomly created vector of length 1.0

RandomParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters

Parameter for random generators and/or random seeds.

RandomParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter

Constructor without default.

RandomParameter(OptionID, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter

Constructor with default value.

RandomParameter(OptionID, long) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter

Constructor with default seed value.

randomPerAttribute - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

The random objects to generate noise distributions independently for each attribute.

randomPermutation(int[], Random) - Static method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor

Perform a random permutation of the array, in-place.

randomPermutation(int[], Random) - Static method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

Perform a random permutation of the array, in-place.

randomPermutation(int[], Random) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily

Perform a random permutation of the array, in-place.

RandomProjectedNeighborsAndDensities<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics

Random Projections used for computing neighbors and density estimates.

RandomProjectedNeighborsAndDensities(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

Constructor.

RandomProjectedNeighborsAndDensities.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics

Parameterization class.

RandomProjectedNeighborsAndDensities.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.Parameterizer

RandomProjection<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.data.projection

Randomized projections of the data.

RandomProjection(int, RandomProjectionFamily) - Constructor for class de.lmu.ifi.dbs.elki.data.projection.RandomProjection

Constructor.

RandomProjection.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.projection

Parameterization class.

RandomProjection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.RandomProjection.Parameterizer

RandomProjectionFamily - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections

Interface for random projection families.

RandomProjectionFamily.Projection - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections

Interface for projection instances (not thread safe).

randoms1 - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction

Random numbers for mixing the hash codes of the individual functions

randomSample - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer

Flag to enable random sampling

randomsample - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator

Flag for random sampling vs. kNN

randomSample(DBIDs, int, int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Produce a random sample of the given DBIDs.

randomSample(DBIDs, int, Long) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Produce a random sample of the given DBIDs.

randomSample(DBIDs, int, RandomFactory) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Produce a random sample of the given DBIDs.

randomSample(DBIDs, int, Random) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Produce a random sample of the given DBIDs.

randomSample(DBIDs, double, RandomFactory) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Produce a random sample of the given DBIDs.

randomSample(DBIDs, double, Random) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Produce a random sample of the given DBIDs.

randomSample(DBIDs, Random) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Draw a single random sample.

randomSample(DBIDs, RandomFactory) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Draw a single random sample.

RandomSampleKNNPreprocessor<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Class that computed the kNN only on a random sample.

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

Constructor.

RandomSampleKNNPreprocessor.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

The parameterizable factory.

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

Constructor.

RandomSampleKNNPreprocessor.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Parameterization class

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

RandomSampleReferencePoints - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints

Random-Sampling strategy for picking reference points.

RandomSampleReferencePoints(int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints

Constructor.

RandomSampleReferencePoints.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints

Parameterization class.

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

RandomSamplingStreamFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection

Subsampling stream filter.

RandomSamplingStreamFilter(double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter

Constructor.

RandomSamplingStreamFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection

Parameterization class

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

RANDOMSEED_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer

Parameter to give the configuration file

randomShuffle(ArrayModifiableDBIDs, RandomFactory) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Produce a random shuffling of the given DBID array.

randomShuffle(ArrayModifiableDBIDs, Random) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Produce a random shuffling of the given DBID array.

randomShuffle(ArrayModifiableDBIDs, Random, int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Produce a random shuffling of the given DBID array.

randomSplit(DBIDs, int, RandomFactory) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Randomly split IDs into p partitions of almost-equal size.

randomSplit(DBIDs, int, Random) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Randomly split IDs into p partitions of almost-equal size.

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

Encapsulates the required methods for a split of a node in an M-Tree.

RandomSplit(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit

Creates a new split object.

RandomSplit.Parameterizer<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split

Parameterization class.

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

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

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.

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

Constructor.

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

Parameterization class.

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

RandomSubsetProjectionFamily - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections

Random projection family based on selecting random features.

RandomSubsetProjectionFamily(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily

Constructor.

RandomSubsetProjectionFamily.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections

Parameterization class.

RandomSubsetProjectionFamily.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily.Parameterizer

RandomSubsetProjectionFamily.SubsetProjection - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections

Random subset projection.

RandomSubsetProjectionFamily.SubsetProjection(int[]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily.SubsetProjection

Constructor.

randomSubspace(int, int, int, Random) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging

Choose a random subspace.

randomVector(NumberVector.Factory<V>, int, Random) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil

Produce a new vector based on random numbers in [0:1].

randomVector(NumberVector.Factory<V>, int) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil

Produce a new vector based on random numbers in [0:1].

range - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering.Parameterizer

Kernel radius.

range - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.DBIDRangeDistanceQuery

The DBID range we are accessing.

range - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser

Range of the DBID values.

range - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.RangeMap

range(int, int) - Static method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor

Initialize an integer value range.

range(int, int) - Static method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

Initialize an integer value range.

range - Variable in class de.lmu.ifi.dbs.elki.result.RangeSelection

Selection range

RANGE_CACHE_MAGIC - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries

Magic number to identify files.

RANGE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering.Parameterizer

Parameter for kernel radius/range/bandwidth.

RangeIndex<O> - Interface in de.lmu.ifi.dbs.elki.index

Index with support for kNN queries.

rangeQueries - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics

For counting the number of range queries answered.

rangeQueries - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics

For counting the number of range queries answered.

rangeQuery - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance

Range query.

rangeQuery - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance

Range query.

RangeQuery<O> - Interface in de.lmu.ifi.dbs.elki.database.query.range

The interface for range queries, that can return all objects within the specified radius.

RangeQueryBenchmarkAlgorithm<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.benchmark

Benchmarking algorithm that computes a range query for each point.

RangeQueryBenchmarkAlgorithm(DistanceFunction<? super O>, DatabaseConnection, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm

Constructor.

RangeQueryBenchmarkAlgorithm.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.benchmark

Parameterization class

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

RangeQuerySelectivity<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics

Evaluate the range query selectivity.

RangeQuerySelectivity(DistanceFunction<? super V>, double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity

Constructor.

RangeQuerySelectivity.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics

Parameterization class.

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

ranges - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Database ranges.

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

Class representing selected Database-IDs and/or a selection range.

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

Constructor.

RangeSelection(DBIDs, ModifiableHyperBoundingBox) - Constructor for class de.lmu.ifi.dbs.elki.result.RangeSelection

Constructor.

rangestart - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory

The starting point for static DBID range allocations.

rank - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

The rank of the coefficient matrix.

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

Matrix rank

rank() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Effective numerical matrix rank

RankingPseudoOutlierScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

This is a pseudo outlier scoring obtained by only considering the ranks of the objects.

RankingPseudoOutlierScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.RankingPseudoOutlierScaling

RankingQualityHistogram<O> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics

Evaluate a distance function with respect to kNN queries.

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

Constructor.

RankingQualityHistogram.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics

Parameterization class.

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

rankReferencePoints(DistanceQuery<O>, O, ArrayDBIDs) - Static method in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex

Sort the reference points by distance to the query object

ranks(NumberArrayAdapter<?, A>, A, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure

Compute ranks of all objects, ranging from 1 to len.

ranks(NumberArrayAdapter<?, A>, A, int[]) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure

Compute ranks of all objects, ranging from 1 to len.

RANSACCovarianceMatrixBuilder - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

RANSAC based approach to a more robust covariance matrix computation.

RANSACCovarianceMatrixBuilder(int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder

Constructor.

RANSACCovarianceMatrixBuilder.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Parameterization class

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

rate - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization.Parameterizer

Sampling rate.

rate - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization

Sample size.

rate - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer

Expected rate of outliers

rate - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment

Expected rate of outliers.

rate - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution.Parameterizer

Parameters.

rate - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution

Rate, inverse of mean

rate - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution.Parameterizer

Parameters.

rate - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution

Rate, inverse of mean

RATE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer

Expected rate of outliers

RATE_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution.Parameterizer

Shape parameter gamma.

RATE_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution.Parameterizer

Shape parameter gamma.

ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations.Parameterizer

Ratio for canvas

ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations

Ratio for canvas

ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView

Ratio of this view.

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

Screen ratio

ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

Target height/width ratio

ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot

Ratio of plot

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

Ratio for easier size adjustment

RATIO_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations.Parameterizer

Parameter to specify the canvas ratio Key: -vis.ratio Default value: 1.33

RationalQuadraticKernelFunction - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Rational quadratic kernel, a less computational approximation of the Gaussian RBF kernel (RadialBasisFunctionKernelFunction).

RationalQuadraticKernelFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RationalQuadraticKernelFunction

Constructor.

RationalQuadraticKernelFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Parameterization class.

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

rawdist - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.LinearScanPrimitiveDistanceKNNQuery

Unboxed distance function.

rawdist - Variable in class de.lmu.ifi.dbs.elki.database.query.range.LinearScanPrimitiveDistanceRangeQuery

Unboxed distance function.

rawLogProbability(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Poisson distribution probability, but also for non-integer arguments.

rawProbability(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Poisson distribution probability, but also for non-integer arguments.

rawQuantile(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution

Raw quantile function

RayleighDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution

Rayleigh distribution.

RayleighDistribution(double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution

Constructor.

RayleighDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution

Constructor.

RayleighDistribution(double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution

Constructor.

RayleighDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution

Constructor.

RayleighDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution

Constructor.

RayleighDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution

Parameterization class

RayleighDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution.Parameterizer

RayleighLMMEstimator - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighLMMEstimator

Constructor.

RayleighLMMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Parameterization class.

RayleighLMMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighLMMEstimator.Parameterizer

RayleighMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Estimate the parameters of a RayleighDistribution using the MAD.

RayleighMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMADEstimator

Constructor.

RayleighMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Parameterization class.

RayleighMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMADEstimator.Parameterizer

RayleighMLEEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Estimate the scale parameter of a (non-shifted) RayleighDistribution using a maximum likelihood estimate.

RayleighMLEEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMLEEstimator

Constructor.

RayleighMLEEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Parameterization class.

RayleighMLEEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMLEEstimator.Parameterizer

Rdiag - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition

Array for internal storage of diagonal of R.

RdKNNDirectoryEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Represents an entry in a directory node of an RdKNN-Tree.

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

Empty constructor for serialization purposes.

RdKNNDirectoryEntry(int, ModifiableHyperBoundingBox, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry

Constructs a new RDkNNDirectoryEntry object with the given parameters.

RdKNNEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Defines the requirements for an entry in an RdKNN-Tree node.

RdKNNLeafEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Represents an entry in a leaf node of an RdKNN-Tree.

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

Empty constructor for serialization purposes.

RdKNNLeafEntry(DBID, NumberVector, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry

Constructs a new RDkNNLeafEntry object with the given parameters.

RdKNNNode - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Represents a node in a RDkNN-Tree.

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

Empty constructor for Externalizable interface.

RdKNNNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode

Creates a new RdKNNNode object.

RdkNNSettings<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Settings for the RdKNN Tree.

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

RdKNNTree<O extends NumberVector> - Class in de.lmu.ifi.dbs.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<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Constructor.

RdKNNTreeFactory<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Factory for RdKNN R*-Trees.

RdKNNTreeFactory(PageFileFactory<?>, RdkNNSettings<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory

Constructor.

RdKNNTreeFactory.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Parameterization class.

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

RdKNNTreeHeader - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Encapsulates the header information of a RDkNN-Tree.

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

Empty constructor for serialization.

RdKNNTreeHeader(int, int, int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader

Creates a new header with the specified parameters.

reachability - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder

Reachability storage.

reachability - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance

Reachability storage.

reachability - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeapEntry

The reachability of the entry.

reachability - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance

Reachability storage.

REACHABILITY_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.Parameterizer

The distance function to determine the reachability distance between database objects.

REACHABILITY_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP.Parameterizer

The distance function to determine the reachability distance between database objects.

reachabilityDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.Parameterizer

Reachability distance function.

reachabilityDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF

Reachability distance function.

reachabilityDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP.Parameterizer

Preprocessor Step 1.

reachabilityDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP

Distance function for reachability.

reachDist - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS

Result: reachability distances

read(BufferedReader) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Read a matrix from a stream.

read() - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteBufferInputStream

read(byte[], int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteBufferInputStream

readAccess - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFile

The read I/O-Access of this file.

readDouble(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read a double from the byte array at the given offset.

readEmptyPages(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

Read the empty pages from the end of file.

reader - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser

Tokenized reader.

reader - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser

Tokenized reader.

reader - Variable in class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader

Line reader.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry

Restores the id of the object (node or data object) that is represented by this entry from the specified stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry

Restores the id of the object (node or data object) that is represented by this entry from the specified stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

Calls the super method and reads the parentDistance of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read a float from the byte array at the given offset.

readHeader(BufferedReader) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Read the dataset header part of the ARFF file, to ensure consistency.

readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader

Initializes this header from the specified file.

readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader

Initializes this header from the specified file.

readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

Initializes this header from the specified file.

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

Initializes this header from the specified file.

readHeader(byte[]) - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader

Initializes this header from the given Byte array.

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

Initializes this header from the specified file.

readHeader(byte[]) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader

Initializes this header from the specified file.

readInt(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read an integer from the byte array at the given offset.

readLine(Appendable) - Method in class de.lmu.ifi.dbs.elki.utilities.io.LineReader

Read a line into the given buffer.

readLong(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read a long from the byte array at the given offset.

readMeta() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader

Read the metadata.

readObject() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader

Read an object.

readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache

Retrieves a page from the cache.

readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile

readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile

Reads the page with the given id from this file.

readPage(int) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFile

Reads the page with the given id from this file.

readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

Reads the page with the given id from this file.

readShort(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read a short from the byte array at the given offset.

readSignedVarint(ByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read a signed integer.

readSignedVarintLong(ByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read a signed long.

readString(ByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read a string from the buffer.

readUnsignedShort(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read an unsigned short from the byte array at the given offset.

readUnsignedVarint(ByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read an unsigned integer.

readUnsignedVarintLong(ByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Read an unsigned long.

rearrange(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection

Method to rearrange components.

rearrange(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D

rearrange(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D

reassign - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer

Pattern for clusters to reassign.

reassign - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Pattern for clusters to reassign.

REASSIGN_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer

Parameter for cluster reassignment

recalcAxisPositions() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization

Recalculate axis positions, in particular after projection changes.

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

Recompute the view box of the plot.

recall() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed

Get the BCubed Recall (first clustering) (normalized, 0 = unequal)

recall() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting

Computes the pair-counting recall.

recDrawEdges(SVGPath, double, double, List<double[]>, int, long[]) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube

Recursive helper for hypercube drawing.

recDrawSides(SVGPlot, Element, String, double, double, List<double[]>, int, long[]) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube

Recursive helper for hypercube drawing.

recombineOptimized(AggarwalYuEvolutionary.Individuum, AggarwalYuEvolutionary.Individuum) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Recombination method.

recomputeCovarianceMatrices(Relation<? extends NumberVector>, WritableDataStore<double[]>, List<? extends EMClusterModel<?>>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM

Recompute the covariance matrixes.

recomputeLOFs(DBIDs, FlexibleLOF.LOFResult<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.OnlineLOF.LOFKNNListener

Recomputes the lofs of the specified ids.

recomputeSeperation(List<Vector>, double[], double[][]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansElkan

Recompute the separation of cluster means.

recomputeSeperation(List<Vector>, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly

Recompute the separation of cluster means.

reconfigureLogging(String, String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Reconfigure logging.

recordsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Size of the records in the file.

RecordStore - Interface in de.lmu.ifi.dbs.elki.database.datastore

Represents a storage which stores multiple values per object in a record fashion.

RectangleArranger<T> - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview

This is a rather naive rectangle arrangement class.

RectangleArranger(double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

Constructor.

RectangleArranger(double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

Constructor.

recursiveBuildMenu(Collection<JMenuItem>, Object, ResultHierarchy, Hierarchy<Object>, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow.DynamicMenu

recursiveLogResult(StringBuilder, Hierarchy<Result>, Result, int) - Method in class de.lmu.ifi.dbs.elki.result.LogResultStructureResultHandler

Recursively walk through the result tree.

recursivelyFill(List<List<? extends Cluster<?>>>) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments

recursivelyFill(List<List<? extends Cluster<?>>>, int, SetDBIDs, SetDBIDs, int[], boolean) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments

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

redraw() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.VisualizationPlot

Redraw all pending updates.

redrawSelection() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

reducedRowEchelonForm - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Indicates if linear equation system is in reduced row echelon form.

reducedRowEchelonForm(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Brings this linear equation system into reduced row echelon form with choice of pivot method.

reduceMemory() - Method in class de.lmu.ifi.dbs.elki.algorithm.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).

REFERENCE - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Information for citation and version.

Reference - Annotation Type in de.lmu.ifi.dbs.elki.utilities.documentation

Annotation to specify a reference.

REFERENCE_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering

Parameter to obtain the reference clustering.

REFERENCE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory.Parameterizer

Initialization method.

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

Reference points color and size

REFERENCE_VERSION - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Version number of the reference below.

referencealg - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.Parameterizer

referencealg - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering

Reference algorithm.

ReferenceBasedOutlierDetection - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.

ReferenceBasedOutlierDetection(int, NumberVectorDistanceFunction<? super NumberVector>, ReferencePointsHeuristic) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ReferenceBasedOutlierDetection

Constructor with parameters.

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

Parameterization class.

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

referenceDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF

Neighborhood distance function.

referencepoints - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex

Reference points.

ReferencePointsHeuristic - Interface in de.lmu.ifi.dbs.elki.utilities.referencepoints

Simple Interface for an heuristic to pick reference points.

ReferencePointsResult<O> - Class in de.lmu.ifi.dbs.elki.result

Result used in passing the reference points to the visualizers.

ReferencePointsResult(String, String, Collection<O>) - Constructor for class de.lmu.ifi.dbs.elki.result.ReferencePointsResult

Constructor with collection only.

ReferencePointsResult(String, String, Collection<O>, Collection<String>) - Constructor for class de.lmu.ifi.dbs.elki.result.ReferencePointsResult

Full constructor.

ReferencePointsVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot

The actual visualization instance, for a single projection

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

Constructor.

ReferencePointsVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot

Instance.

ReferencePointsVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance

Constructor.

refine(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractKNNQuery

Refinement distance computation.

refine(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractRangeQuery

Refinement distance computation.

refine(DBID) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex

Refine a given object (and count the refinement!).

refine_truth - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment

Variant, where the truth vector is also updated.

refinements - Variable in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex

Refinement counter.

refinements - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex

Count the number of distance refinements computed.

refinements - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics

refineRange(DoubleDBIDList, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES

Refine a range query.

refp - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ReferenceBasedOutlierDetection.Parameterizer

Stores the reference point strategy

refp - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ReferenceBasedOutlierDetection

Stores the reference point strategy.

REFP_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ReferenceBasedOutlierDetection.Parameterizer

Parameter for the reference points heuristic.

REFPOINT - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance

Generic tag to indicate the type of element.

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

Do a refresh (when visibilities have changed).

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

Do a refresh (when visibilities have changed).

refreshThumbnail() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization

register(Class<?>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry

Register a class with the registry.

register(Class<?>, Class<?>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry

Register a class in the registry.

registerAlias(Class<?>, String, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry

Register a class alias with the registry.

registerChild(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters

registerImage(RenderedImage) - Static method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

Put an image into the repository (note: the repository is only keeping a weak reference!)

regularizedGammaP(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution

Returns the regularized gamma function P(a, x).

regularizedGammaQ(double, double) - Static method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution

Returns the regularized incomplete beta function I_x(a, b) by quadrature, based on the book "Numerical Recipes".

rehash(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hash.Unique

reinitialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment

reinitialize() - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.OverflowTreatment

Reinitialize the reinsertion treatment (for a new primary insertion).

reinitialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment

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

Refresh the overview plot.

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

Reinitialize on refresh

reInsert(N, IndexTreePath<E>, int[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Reinserts the specified node at the specified level.

REINSERT_AMOUNT_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Parameterizer

Reinsertion share

REINSERT_DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Parameterizer

Reinsertion share

REINSERT_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Parameterizer

Fast-insertion parameter.

reinsertAmount - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Parameterizer

The actual reinsertion strategy

reinsertAmount - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert

Amount of entries to reinsert

reinsertExpanded(SpatialPrimitiveDistanceFunction<NV>, DeLiCluTree, IndexTreePath<DeLiCluEntry>, DataStore<KNNList>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu

Reinserts the objects of the already expanded nodes.

reinsertExpanded(SpatialPrimitiveDistanceFunction<NV>, DeLiCluTree, List<IndexTreePath<DeLiCluEntry>>, int, DeLiCluEntry, DataStore<KNNList>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu

reinsertions - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment

Bitset to keep track of levels a reinsert has been performed at.

reinsertStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Parameterizer

The actual reinsertion strategy

reinsertStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment

Strategy for the actual reinsertions

ReinsertStrategy - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert

Reinsertion strategy to resolve overflows in the RStarTree.

rel - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramProjector

Relation we project.

rel - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.ParallelPlotProjector

Relation we project.

rel - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector

Relation we project.

rel - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization

The representation we visualize

rel - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization.Instance

The representation we visualize

rel - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance

The representation we visualize

relabelClusters - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain

Pattern, which clusters (e.g.

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Relation we use.

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance

Data relation.

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate.Instance

Vector data relation.

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor.Instance

Data relation.

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor

Data relation.

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance

Data relation.

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance

Data relation.

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Instance

The relation holding the uncertain objects.

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures

Relation indexed

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree

Relation indexed.

relation - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.KernelDensityEstimator

Relation to retrieve data from

relation - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery

The data to use for this query

relation - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.AbstractDistanceKNNQuery

The data to use for this query

relation - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery

The data to use for this query

relation - Variable in class de.lmu.ifi.dbs.elki.database.query.range.AbstractDistanceRangeQuery

The data to use for this query

relation - Variable in class de.lmu.ifi.dbs.elki.database.query.rknn.AbstractRKNNQuery

The data to use for this query

relation - Variable in class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery

The data to use for this query

relation - Variable in class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractSimilarityQuery

The data to use for this query

Relation<O> - Interface in de.lmu.ifi.dbs.elki.database.relation

An object representation from a database.

relation - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix

The database

relation - Variable in class de.lmu.ifi.dbs.elki.index.AbstractIndex

The representation we are bound to.

relation - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex

The relation we predend to index.

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

The relation indexed

relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex

Relation indexed

relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex

Relation indexed.

relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex

The relation indexed.

relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex

The relation indexed.

relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex

The relation we index.

relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex

The relation we index

relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNQuery

Relation we query.

relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeRangeQuery

Relation we query.

relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

The relation we query.

relation - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex

Relation

relation - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask

The main representation

relation - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Relation currently visualized.

relation - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance

The database we visualize

relation - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization

The representation we visualize

relationAsMatrix(Relation<? extends NumberVector>, ArrayDBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil

Copy a relation into a double matrix.

relations - Variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

The relations we manage.

relationUglyVectorCast(Relation<T>) - Static method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil

An ugly vector type cast unavoidable in some situations due to Generics.

RelationUtil - Class in de.lmu.ifi.dbs.elki.database.relation

Utility functions for handling database relation.

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

Fake constructor: do not instantiate.

RelationUtil.AscendingByDoubleRelation - Class in de.lmu.ifi.dbs.elki.database.relation

Sort objects by a double relation

RelationUtil.AscendingByDoubleRelation(DoubleRelation) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.AscendingByDoubleRelation

Constructor.

RelationUtil.CollectionFromRelation<O> - Class in de.lmu.ifi.dbs.elki.database.relation

Collection view on a database that retrieves the objects when needed.

RelationUtil.CollectionFromRelation(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.CollectionFromRelation

Constructor.

RelationUtil.DescendingByDoubleRelation - Class in de.lmu.ifi.dbs.elki.database.relation

Sort objects by a double relation

RelationUtil.DescendingByDoubleRelation(DoubleRelation) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.DescendingByDoubleRelation

Constructor.

RelationUtil.RelationObjectIterator<O> - Class in de.lmu.ifi.dbs.elki.database.relation

Iterator class that retrieves the given objects from the database.

RelationUtil.RelationObjectIterator(DBIDIter, Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.RelationObjectIterator

Full Constructor.

RelationUtil.RelationObjectIterator(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.RelationObjectIterator

Simplified constructor.

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

Cubic Bezier line to the given relative coordinates.

relativeCubicTo(double[], double[], double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Cubic Bezier line to the given relative coordinates.

relativeCubicTo(Vector, Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Cubic Bezier line to the given relative coordinates.

RelativeEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

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 de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter

Constructor.

RelativeEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Parameterization class.

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

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

Elliptical arc curve to the given relative coordinates.

relativeEllipticalArc(double, double, double, double, double, double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Elliptical arc curve to the given relative coordinates.

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

Elliptical arc curve to the given relative coordinates.

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

Compute the relative fill.

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

Draw a horizontal line to the given relative x coordinate.

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

Draw a line to the given relative coordinates.

relativeLineTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Draw a line to the given relative coordinates.

relativeLineTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Draw a line to the given relative coordinates.

relativeMinFill - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings

Relative minimum fill.

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

Move to the given relative coordinates.

relativeMoveTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Move to the given relative coordinates.

relativeMoveTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Move to the given relative coordinates.

relativeOverlap(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.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, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Quadratic Bezier line to the given relative coordinates.

relativeQuadTo(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Quadratic Bezier line to the given relative coordinates.

relativeQuadTo(Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Quadratic Bezier line to the given relative coordinates.

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

Smooth Cubic Bezier line to the given relative coordinates.

relativeSmoothCubicTo(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Smooth Cubic Bezier line to the given relative coordinates.

relativeSmoothCubicTo(Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Smooth Cubic Bezier line to the given relative coordinates.

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

Smooth quadratic Bezier line to the given relative coordinates.

relativeSmoothQuadTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Smooth quadratic Bezier line to the given relative coordinates.

relativeSmoothQuadTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Smooth quadratic Bezier line to the given relative coordinates.

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

Draw a vertical line to the given relative y coordinate.

relevantSubspace(long[], DoubleDBIDList, OUTRES<V>.KernelDensityEstimator) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES

Subspace relevance test.

REMAINING_OPTIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters

OptionID for unrecognized options.

removalEvent(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent

Removal event.

removals - Variable in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent

Removals.

remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore

remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore

remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore

remove(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableRecordStore

Remove an object from the store, all columns.

remove(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs

Remove the i'th entry (starting at 0)

remove() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDMIter

Remove the object the iterator currently points to.

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

remove() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr

remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

remove(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

remove() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr

remove(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

remove() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr

remove(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList

remove() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.Itr

remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs

remove(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs

Remove a single DBID from the collection.

remove(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDoubleDBIDList

Remove the entry at position p by shifting the remainder forward.

remove() - Method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.RelationObjectIterator

remove(String) - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile

Remove a given key from the file.

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

remove(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray

Remove a range from the array.

remove(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hash.Unique

Removes an existing object from the set.

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

remove(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

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

Remove a parent-child relationship.

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

Remove an entry and all its parent-child relationships.

remove() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.MIter

Remove the object the iterator currently points to.

remove() - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator

remove() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeIterator

Removal: unsupported operation.

remove() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator

Removal: unsupported operation.

remove(PlotItem, VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.LayerMap

Remove a combination.

remove() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr

removeActionListener(ActionListener) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup

Unregister an action listener.

removeAt(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap

Remove the element at the given position.

removeAt(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap

removeBiasNormalDistribution(double, int) - Static method in class de.lmu.ifi.dbs.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.

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

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

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

removeCheckBoxListener(ChangeListener) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox

Remove a listener for this checkbox.

removeChild(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec

Remove a child.

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

Remove a single CSS class from the map.

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

Remove completed progresses.

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

Remove a CSS class to the event target.

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

Constructor

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

Remove a CSS class from an Element.

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

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

Removes a listener previously added with Database.addDataStoreListener(DataStoreListener).

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

Removes a listener previously added with addDataStoreListener.

removeDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

removeDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs

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

Remove DBIDs from collection.

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

Remove an element from its parent, if defined.

removeIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Removes the specified ids from this interval.

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

Removes a KNNListener previously added with MaterializeKNNPreprocessor.addKNNListener(de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNListener) .

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

Remove last child of an element, when present

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

Removes a DataStoreListener previously added with DatabaseEventManager.addListener(DataStoreListener).

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

Removes a ResultListener previously added with DatabaseEventManager.addListener(ResultListener).

removeMask(long[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Remove entries according to the given mask.

removeObject(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap

Remove the given object from the queue.

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

removeParent(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec

Remove a parent.

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

Remove a progress bar

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

Remove a new progress bar.

removeRec(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

Remove a record.

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

Recursively remove a result and its children.

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

Remove a result listener.

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

Remove a result listener.

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

Remove a separator character if present

removeStatement(String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Remove a CSS statement.

removeSubtree(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

removeSubtree(O) - Method in interface de.lmu.ifi.dbs.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 class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

removeSwap(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList

removeSwap(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDoubleDBIDList

Remove the entry at position p by swapping with the last (not preserving the order).

removeVisualizationListener(VisualizationListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree

Add a listener.

removeVisualizationListener(VisualizationListener) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Add a listener.

render(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton

Produce the actual SVG elements for the button.

renderCheckBox(SVGPlot, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox

Render the SVG checkbox to a plot

renderImage() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance

reorderAxesTransformation(int, int[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation

Generate a transformation that reorders axes in the given way.

rep - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Number of repetitions.

rep - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency

Number of repetitions

rep - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance

The representation we visualize

REP_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Parameter to specify the number of repetitions of computing the hopkins value.

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

Replace the default log handler with the given log handler.

replaceEdge(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle

Replace an edge

REPLACEMENT_DISTRIBUTION - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter.Parameterizer

Parameter to specify the distribution to sample replacement values from.

ReplaceNaNWithRandomFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter.cleaning

A filter to replace all NaN values.

ReplaceNaNWithRandomFilter(Distribution) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter

Constructor.

ReplaceNaNWithRandomFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.cleaning

Parameterization class.

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

replaceTopElement(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap

replaceTopElement(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap

replaceTopElement(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap

replaceTopElement(K) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap

replaceTopElement(double) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap

Combined operation that removes the top element, and inserts a new element instead.

replaceTopElement(double, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap

Combined operation that removes the top element, and inserts a new element instead.

replaceTopElement(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

replaceTopElement(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap

replaceTopElement(double, long) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap

Combined operation that removes the top element, and inserts a new element instead.

replaceTopElement(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap

replaceTopElement(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap

replaceTopElement(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap

replaceTopElement(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap

replaceTopElement(double, V) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap

Combined operation that removes the top element, and inserts a new element instead.

replaceTopElement(double, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap

replaceTopElement(double, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap

replaceTopElement(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap

Combined operation that removes the top element, and inserts a new element instead.

replaceTopElement(int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap

Combined operation that removes the top element, and inserts a new element instead.

replaceTopElement(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap

replaceTopElement(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap

replaceTopElement(int, V) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap

Combined operation that removes the top element, and inserts a new element instead.

replaceTopElement(int, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap

replaceTopElement(int, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap

replaceTopElement(K) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap

Combined operation that removes the top element, and inserts a new element instead.

replaceTopElement(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap

replaceTopElement(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap

replot() - Method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot

Trigger a redraw of the OPTICS plot

reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization

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

reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization

reportError(ParameterException) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization

Report a configuration error.

reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters

reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization

reportErrors(SerializedParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Report errors in a single error log record.

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

Report errors in a single error log record.

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

Report the internal parameterization errors to another parameterization

RepresentativeUncertainClustering - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain

Representative clustering of uncertain data.

RepresentativeUncertainClustering(ClusteringDistanceSimilarityFunction, ClusteringAlgorithm<?>, ClusteringAlgorithm<?>, int, RandomFactory, double, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering

Constructor, quite trivial.

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

Parameterization class.

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

RepresentativeUncertainClustering.RepresentativenessEvaluation - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain

Representativeness evaluation result.

RepresentativeUncertainClustering.RepresentativenessEvaluation(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.RepresentativenessEvaluation

Constructor.

reqheight - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask

Height request

requestRedraw(VisualizationTask, Visualization) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.VisualizationPlot

Request a redraw of a visualization.

reqwidth - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask

Width request

res - Variable in class de.lmu.ifi.dbs.elki.math.scales.LinearScale

Scale resolution

RESCALE - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity

Scaling factor.

rescale(double, double) - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve

Rescale the graph.

RESCALE - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure

Scaling factor.

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

Scale another outlier score using the given scaling function.

RescaleMetaOutlierAlgorithm(Algorithm, ScalingFunction) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm

Constructor.

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

Parameterization class

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

reset() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Resets the values for the next cluster search.

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

Reset statistics.

reset() - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax

Reset statistics.

reset() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

Reset the covariance matrix.

reset() - Method in class de.lmu.ifi.dbs.elki.math.Mean

Reset the value.

reset() - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance

reset() - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax

reset() - Method in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Reset the value.

reset() - Method in class de.lmu.ifi.dbs.elki.math.StatisticalMoments

reset() - Method in class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader

Reset the current reader (but do not close the stream).

reset(LineReader) - Method in class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader

Reset to a new line reader.

reset(InputStream) - Method in class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader

Reset to a new line reader.

reset(InputStreamReader) - Method in class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader

Reset to a new line reader.

reset() - Method in class de.lmu.ifi.dbs.elki.utilities.io.TokenizedReader

Cleanup the internal state of the tokenized reader.

resetAggregate() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Reset the aggregate (for spurious clusters).

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

residue - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

The current bicluster score (mean squared residue).

resize(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap

Test whether we need to resize to have the requested capacity.

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

resizeFile(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Resize file to the intended size

resizeMatrix(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix

Resize the matrix to cover newsize x newsize.

resolution - Variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer

Horizontal resolution.

resolution - Variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure

Resolution of image.

resolution - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance

Density map resolution

RESOLUTION_ID - Static variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer

Image resolution.

RESOURCE_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader

Resource name prefix for the ELKI functionality discovery.

restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractNormalization

restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractStreamNormalization

restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization

restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization

restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization

restore(int, double) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization

Restore a single dimension.

restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

restore(int, double) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

Restore a single dimension.

restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization

restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

restore(int, double) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

Restore a single dimension.

restore(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization

restore(O) - Method in interface de.lmu.ifi.dbs.elki.datasource.filter.normalization.Normalization

Transforms a feature vector to the original attribute ranges.

Restricted - Annotation Type in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter

The restriction class for the list of class names.

restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter

The restriction class for this class parameter.

restrictions - Variable in class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation

The wrapped type restrictions

restrictions - Variable in class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation

The wrapped type restrictions

restrictionString() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter

Provides a description string listing all classes for the given superclass or interface as specified in the properties.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU

Holds the result;

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult

The result of the run of the FlexibleLOF algorithm.

Result - Interface in de.lmu.ifi.dbs.elki.result

Interface for arbitrary result objects.

result - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask

The result we are attached to

result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance

The result we visualize

result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance

The outlier result to visualize

result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance

The outlier result to visualize

result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance

Serves reference points.

result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance

The selection result we work on

result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance

Number value to visualize

result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance

Number value to visualize

result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance

The actual pixmap result.

result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance

The actual pixmap result.

RESULT_HANDLER_ID - Static variable in class de.lmu.ifi.dbs.elki.workflow.OutputStep.Parameterizer

Parameter to specify the result handler classes.

resultAdded(Result, Result) - Method in interface de.lmu.ifi.dbs.elki.result.ResultListener

A new derived result was added.

resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView

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

resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow

resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization

resultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation

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

Signal that a result has changed (public API)

resultChanged(Result) - Method in interface de.lmu.ifi.dbs.elki.result.ResultListener

Notify that the current result has changed substantially.

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

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

resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow

resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization

resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.AbstractHistogramVisualization

resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization

resultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation

ResultHandler - Interface in de.lmu.ifi.dbs.elki.result

Interface for any class that can handle results

resulthandlers - Variable in class de.lmu.ifi.dbs.elki.workflow.OutputStep.Parameterizer

Output handlers.

resulthandlers - Variable in class de.lmu.ifi.dbs.elki.workflow.OutputStep

Output handler.

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

Class to store a hierarchy of result objects.

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

Constructor.

resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Holds a list of clusters found.

resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Holds a list of clusters found.

ResultListener - Interface in de.lmu.ifi.dbs.elki.result

Listener interface invoked when new results are added to the result tree.

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

Holds the listeners for result changes.

ResultProcessor - Interface in de.lmu.ifi.dbs.elki.result

Interface for any class that can handle results

resultRemoved(Result, Result) - Method in interface de.lmu.ifi.dbs.elki.result.ResultListener

A result was removed.

resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView

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

resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow

resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization

resultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation

resultToJSON(JSONBuffer, String) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer

Serialize an arbitrary result into JSON.

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

Utilities for handling result objects

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

ResultVisualizer - Class in de.lmu.ifi.dbs.elki.visualization.gui

Handler to process and visualize a Result.

ResultVisualizer(String, VisualizerParameterizer, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer

Constructor.

ResultVisualizer.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.gui

Parameterization class.

ResultVisualizer.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer.Parameterizer

ResultWindow - Class in de.lmu.ifi.dbs.elki.visualization.gui

Swing window to manage a particular result visualization.

ResultWindow(String, VisualizerContext, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

Constructor.

ResultWindow.DynamicMenu - Class in de.lmu.ifi.dbs.elki.visualization.gui

Dynamic menu.

ResultWindow.DynamicMenu() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow.DynamicMenu

Constructor.

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

Result handler that feeds the data into a TextWriter.

ResultWriter(File, boolean, boolean, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.result.ResultWriter

Constructor.

ResultWriter.Parameterizer - Class in de.lmu.ifi.dbs.elki.result

Parameterization class.

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

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

Retain all elements that also are in the second set.

retainAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs

retract() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDArrayIter

retract() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDListIter

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

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList.Itr

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap.Itr

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr

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

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr

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

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr

retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter

retract() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.AbstractVectorIter

retract() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DecreasingVectorIter

retract() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.IncreasingVectorIter

retract() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter

retract() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayIter

Moves the iterator backward to the previous entry.

retract() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayListIter

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

Retry count

retrieveAccurateDistances(List<PartialVAFile.PartialVACandidate>, int, long[], V) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery

returnedAllocations - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory

Returned range allocations

ReusingDBIDFactory - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Slightly more complex DBID management, that allows reuse of DBIDs.

ReusingDBIDFactory() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory

Constructor

reverse - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Parameterizer

Pattern to recognize reversed methods.

reverse - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores

Pattern to recognize reversed methods.

reverse() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

Reverse the list.

reverse() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList

Reverse the list.

reversed - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar

Reversed flag.

REVERSED_ID - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Parameterizer

Pattern for reversed methods.

reverseEigenVectors(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs

Returns the last n sorted eigenvectors as a matrix.

reverseKNNQuery(DBIDRef, int) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

reverseKNNQuery(DBID, int, SpatialPrimitiveDistanceFunction<? super O>, KNNQuery<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

rewind() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization

Rewind the configuration to the initial situation

RGBHistogramQuadraticDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram

Distance function for RGB color histograms based on a quadratic form and color similarity.

RGBHistogramQuadraticDistanceFunction(int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction

Constructor.

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

Parameterization class.

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

rhs - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

The right hand side of the equation system.

RIGHT - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGArrow

Constant for "right"

rightChild - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Holds the right child.

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

Returns the right neighbor of the given unit in the specified dimension.

ringid - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy

Segment ring we are

RKNNIndex<O> - Interface in de.lmu.ifi.dbs.elki.index

Index with support for kNN queries.

RKNNQuery<O> - Interface in de.lmu.ifi.dbs.elki.database.query.rknn

Abstract reverse kNN Query interface.

rkNNReach - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult

The rkNN query w.r.t. the reachability distance.

rkNNRefer - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult

The RkNN query w.r.t. the reference neighborhood distance.

rlen - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore

Record length.

rlen - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore

Record length.

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

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

Holds the value of LOCI.RMAX_ID.

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

Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS

Random factory

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

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

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.AbstractKMeansInitialization.Parameterizer

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.AbstractKMeansInitialization

Random number generator

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans

Random factory.

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC

Randomizer used internally for sampling points.

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.Parameterizer

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans.Parameterizer

Our Random factory

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans

Our Random factory

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistancesSampler.Parameterizer

Random number seeding.

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistancesSampler

Random number seeding.

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Parameterizer

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI

Random generator

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

Random generator.

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

Random number generator for subspace choice.

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

Random generator.

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

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Parameterizer

rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter.Parameterizer

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ShuffleObjectsFilter.Parameterizer

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ShuffleObjectsFilter

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.HistogramJitterFilter.Parameterizer

Random generator seed.

rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.HistogramJitterFilter

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Parameterizer

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter

Holds a random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.Parameterizer

Random factory.

rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

Random factory.

rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory.Parameterizer

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit.Parameterizer

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity.Parameterizer

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HiCSDependenceMeasure.Parameterizer

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HiCSDependenceMeasure

Random generator

rnd - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution.Parameterizer

Random source.

rnd - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints.Parameterizer

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints.Parameterizer

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints

Random generator.

rnd - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer

Random seed for sampling.

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

Matrix inverse for square matrixes.

rocauc - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.RetrievalPerformanceResult

ROC AUC value

rocauc - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve.SmROCResult

ROC AUC score

ROCAUC_LABEL - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve

The label we use for marking ROCAUC values.

ROCEvaluation - Class in de.lmu.ifi.dbs.elki.evaluation.scores

Compute ROC (Receiver Operating Characteristics) curves.

ROCEvaluation() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.ROCEvaluation

ROCEvaluation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.scores

Parameterization class.

ROCEvaluation.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.ROCEvaluation.Parameterizer

root - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree

Tree root

root - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree

Tree root.

root - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree

Tree root.

root - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree

The root of this flat RTree.

root - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Root element of the document.

rootEntry - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree

The entry representing the root node.

rotate90Equals() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Rotate vector by 90 degrees.

rotate90Equals(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Rotate vector by 90 degrees.

rotated - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization

Flag to indicate rotated labels (90 deg to the left)

rouletteRankSelection(ArrayList<AggarwalYuEvolutionary.Individuum>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Select surviving individuums weighted by rank.

routingDistance - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.DoubleMTreeDistanceSearchCandidate

The distance from the query object to the routing object

routingObjectID - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

The id of routing object of this entry.

routingObjectID - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.DoubleMTreeDistanceSearchCandidate

The id of the routing object.

routingObjectID - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.GenericMTreeDistanceSearchCandidate

The id of the routing object.

row - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Encodes row permutations, row i is at position row[i].

rowcard - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Cardinalities.

rowIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

The row ids corresponding to the currently set AbstractBiclustering.relation.

rowM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Means.

rowPackedCopy(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Make a one-dimensional row packed copy of the internal array.

rows - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Row and column bitmasks.

rows - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter

Row cache.

rowsBitsetToIDs(BitSet) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Convert a bitset into integer row ids.

rowsBitsetToIDs(long[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Convert a bitset into integer row ids.

rowSum(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix

The number of instances present in the specified row.

RPRECISION - Static variable in class de.lmu.ifi.dbs.elki.evaluation.scores.PrecisionAtKEvaluation

Static instance

rq - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Instance

Range query to use on the database.

RSTAR_OVERFLOW - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment

Default insert strategy used by R*-tree

RStarTree - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

RStarTree is a spatial index structure based on the concepts of the R*-Tree.

RStarTree(PageFile<RStarTreeNode>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree

Constructor.

RStarTreeFactory<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

Factory for regular R*-Trees.

RStarTreeFactory(PageFileFactory<?>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory

Constructor.

RStarTreeFactory.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

Parameterization class.

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

RStarTreeIndex<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

The common use of the rstar tree: indexing number vectors.

RStarTreeIndex(Relation<O>, PageFile<RStarTreeNode>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex

Constructor.

RStarTreeKNNQuery<O extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query

Instance of a KNN query for a particular spatial index.

RStarTreeKNNQuery(AbstractRStarTree<?, ?, ?>, Relation<? extends O>, SpatialPrimitiveDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNQuery

Constructor.

RStarTreeKNNQuery.DoubleDistanceEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query

Optimized double distance entry implementation.

RStarTreeKNNQuery.DoubleDistanceEntry(SpatialEntry, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNQuery.DoubleDistanceEntry

Constructor.

RStarTreeNode - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

Represents a node in an R*-Tree.

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

Empty constructor for Externalizable interface.

RStarTreeNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode

Creates a new RStarTreeNode with the specified parameters.

RStarTreeRangeQuery<O extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query

Instance of a range query for a particular spatial index.

RStarTreeRangeQuery(AbstractRStarTree<?, ?, ?>, Relation<? extends O>, SpatialPrimitiveDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeRangeQuery

Constructor.

RStarTreeUtil - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query

Utility class for RStar trees

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

rtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance

Element for selection rectangle

rtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance

Element for selection rectangle

rtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance

Element to contain the drag arrow

rtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance

Element for selection rectangle.

rtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance

Element for selection rectangle

RTreeLinearSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split

Linear-time complexity greedy split as used by the original R-Tree.

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

RTreeLinearSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split

Parameterization class.

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

RTreeParallelVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index

Visualize the of an R-Tree based index.

RTreeParallelVisualization(RTreeParallelVisualization.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization

Constructor.

RTreeParallelVisualization.Instance<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index

Instance for a particular data set and tree

RTreeParallelVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance

Constructor.

RTreeParallelVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index

Parameterization class.

RTreeParallelVisualization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Parameterizer

RTreeQuadraticSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split

Quadratic-time complexity greedy split as used by the original R-Tree.

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

RTreeQuadraticSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split

Parameterization class.

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

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

run(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.Algorithm

Runs the algorithm.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm

Run the algorithm.

run(Database, Relation<O>, Relation<NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm

Run the algorithm, with separate radius relation

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm

Run the algorithm, with a separate query set.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex

Run the algorithm.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.classification.AbstractClassifier

Deprecated.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.classification.KNNClassifier

Deprecated.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm

Perform affinity propagation clustering.

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Prepares the algorithm for running on a specific database.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering

Run the algorithm

run(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.ClusteringAlgorithm

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Run CASH on the relation.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

Run the COPAC algorithm.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

Performs the ERiC algorithm on the given database.

run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO

run(Database, Relation<NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS

The main LMCLUS (Linear manifold clustering algorithm) is processed in this method.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Performs the ORCLUS algorithm on the given database.

run(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Performs the DBSCAN algorithm on the given database.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM

Performs the EM clustering algorithm on the given database.

run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance

Run the actual GDBSCAN algorithm.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC

Run the LSDBC algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES

Run the algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering

Run the algorithm

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.HDBSCANLinearMemory

Run the algorithm

run(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.HierarchicalClusteringAlgorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK

Performs the SLINK algorithm on the given database.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINKHDBSCANLinearMemory

Run the algorithm

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA

run(Database, Relation<V>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeans

Run the clustering algorithm.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBisecting

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansElkan

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHybridLloydMacQueen

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansLloyd

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMacQueen

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM

Run k-medoids

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM

Run k-medoids

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.ParallelLloydKMeans

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.SingleAssignmentKMeans

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans

Run the algorithm on a database and relation.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering

Run the algorithm.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering

Run the mean-shift clustering algorithm.

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering

Run the clustering algorithm on a data relation.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.AbstractOPTICS

Run OPTICS on the database.

run(Database, Relation<NV>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS

Run the algorithm.

run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance

Process the data set.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS

Run OPTICS on the database.

run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance

Process the data set.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap

run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance

Process the data set.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList

run(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSTypeAlgorithm

run(Database, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Perform SNN clustering

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

Performs the CLIQUE algorithm on the given database.

run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Performs the DiSH algorithm on the given database.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC

Performs the DOC or FastDOC (as configured) algorithm on the given Database.

run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C

Performs the P3C algorithm on the given Database.

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

Performs the PROCLUS algorithm on the given database.

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU

Performs the SUBCLU algorithm on the given database.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering

run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering

Run the actual clustering algorithm.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelHierarchicalClustering

run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelHierarchicalClustering

Run the actual clustering algorithm.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelOrAllInOneClustering

run(Relation<Model>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering

Run the actual clustering algorithm.

run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllInOne

run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllNoise

run(Database, Relation<? extends UncertainObject>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CenterOfMassMetaClustering

This run method will do the wrapping.

run(Database, Relation<? extends UncertainObject>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering

This run method will do the wrapping.

run(Database, Relation<DiscreteUncertainObject>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans

Run the clustering.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator

Computes quantitatively linear dependencies among the attributes of the given database based on a linear correlation PCA.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.DummyAlgorithm

Run the algorithm.

run(Relation<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI

Performs the APRIORI algorithm on the given database.

run(Database, Relation<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Eclat

Run the Eclat algorithm

run(Database, Relation<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth

Run the FP-Growth algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNDistancesSampler

Provides an order of the kNN-distances for all objects within the specified database.

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin

Joins in the given spatial database to each object its k-nearest neighbors.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances

Iterates over all points in the database.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.NullAlgorithm

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.ABOD

Run ABOD on the data set.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.FastABOD

Run Fast-ABOD on the data set.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.LBABOD

Run LB-ABOD on the data set.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.EMOutlier

Runs the algorithm in the timed evaluation part.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.KMeansOutlierDetection

Run the outlier detection algorithm.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.SilhouetteOutlierDetection

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP

Process a single relation.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.AbstractDBOutlier

Runs the algorithm in the timed evaluation part.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.KNNOutlier

Runs the algorithm in the timed evaluation part.

run(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.KNNOutlier

Runs the algorithm in the timed evaluation part.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.KNNWeightOutlier

Runs the algorithm in the timed evaluation part.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.LocalIsolationCoefficient

Runs the algorithm in the timed evaluation part.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ODIN

Run the ODIN algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNOutlier

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNWeightOutlier

Run the parallel kNN weight outlier detector.

run(Database, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ReferenceBasedOutlierDetection

Run the algorithm on the given relation.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF

Performs the Generalized DWOF_SCORE algorithm on the given database by calling all the other methods in the proper order.

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel

Run the algorithm

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture

Run the algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IDOS

Run the algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IntrinsicDimensionalityOutlier

Run the algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.COF

Runs the COF algorithm on the given database.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF

Performs the Generalized LOF algorithm on the given database by calling FlexibleLOF.doRunInTime(de.lmu.ifi.dbs.elki.database.ids.DBIDs, de.lmu.ifi.dbs.elki.database.query.knn.KNNQuery<O>, de.lmu.ifi.dbs.elki.database.query.knn.KNNQuery<O>, de.lmu.ifi.dbs.elki.logging.progress.StepProgress).

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.INFLO

Run the algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS

Run the KDEOS outlier detection algorithm.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDF

Run the naive kernel density LOF algorithm.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDOF

Run the algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI

Run the algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOF

Runs the LOF algorithm on the given database.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP

Performs the LoOP algorithm on the given database.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.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(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelLOF

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelSimplifiedLOF

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimpleKernelDensityLOF

Run the naive kernel density LOF algorithm.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimplifiedLOF

Run the Simple LOF algorithm.

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.VarianceOfVolume

Runs the VOV algorithm on the given database.

run(Database, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore

Run the algorithm.

run(Database, Relation<NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging

Run the algorithm on a data set.

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS

Perform HiCS on a given database.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.SimpleOutlierEnsemble

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF

Perform OPTICS-based outlier detection.

run(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.outlier.OutlierAlgorithm

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP

run(Database, Relation<V>, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm

Run the algorithm

run(Database, Relation<N>, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMeanMultipleAttributes

Run the algorithm

run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianAlgorithm

Main method.

run(Database, Relation<N>, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianMultipleAttributes

Run the algorithm

run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMoranScatterplotOutlier

Main method.

run(Relation<P>, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC

Run the algorithm.

run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuScatterplotOutlier

Main method.

run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuZTestOutlier

Main method.

run(Database, Relation<N>, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SLOM

run(Database, Relation<N>, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SOF

The main run method

run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach

Run the algorithm.

run() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary

Performs the evolutionary algorithm on the given database.

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuNaive

Run the algorithm on the given relation.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES

Main loop for OUTRES

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD

Performs the SOD algorithm on the given database.

run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.svm.LibSVMOneClassOutlierDetection

Run one-class SVM.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier

run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier

Run the algorithm

run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialAllOutlier

Run the actual algorithm.

run(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialAverageCoordinateOutlier

Run the actual algorithm.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier

run(Relation<Model>, Relation<NumberVector>, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier

Run the algorithm

run(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialNoOutlier

Run the actual algorithm.

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale

run(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale

Add scales to a single vector relation.

run(Database, Relation<O>, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK

Run the algorithm

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EstimateIntrinsicDimensionality

run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality

run(Database, Relation<O>, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance

Run the algorithm

run(Database, Relation<NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency

Runs the algorithm in the timed evaluation part.

run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity

run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram

Process a database

run() - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Runs the application.

run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists

run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries

run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

run() - Method in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask

run() - Method in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication

run() - Method in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators

run() - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Runs the wrapper with the specified arguments.

run() - Method in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances

run(int, String) - Method in interface de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.AlgRunner

Run a single algorithm instance.

run() - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores

run() - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores

run() - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment

run() - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix

run() - Method in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication

run(Database) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.ExtractFlatClusteringFromHierarchyEvaluator.DummyHierarchicalClusteringAlgorithm

run() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

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

run() - Method in class de.lmu.ifi.dbs.elki.KDDTask

Method to run the specified algorithm using the specified database connection.

run(boolean) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D

Run the actual algorithm

run() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Iterate until convergence, at most 100 times.

run(DBIDs, Processor...) - Static method in class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor

Run a task on all available CPUs.

run(DBIDs, Processor...) - Static method in class de.lmu.ifi.dbs.elki.parallel.SingleThreadedExecutor

Run a task on a single thread.

run() - Method in class de.lmu.ifi.dbs.elki.parallel.SingleThreadedExecutor.SingleThreadedRunner

run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.AttributeModifier

run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild

run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceAllChildren

run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceByID

run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeSubstitute

run() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread

runAlgorithms(Database) - Method in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep

Run algorithms.

runButton - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

The "run" button.

runButton - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

The "run" button.

runCLIApplication(Class<?>, String[]) - Static method in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Generic command line invocation.

runClusteringAlgorithm(ResultHierarchy, Result, DBIDs, DataStore<DoubleVector>, int, String) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CenterOfMassMetaClustering

Run a clustering algorithm on a single instance.

runClusteringAlgorithm(ResultHierarchy, Result, DBIDs, DataStore<DoubleVector>, int, String) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering

Run a clustering algorithm on a single instance.

runDBSCAN(Relation<O>, RangeQuery<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Run the DBSCAN algorithm

runDBSCAN(Relation<V>, DBIDs, Subspace) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU

Runs the DBSCAN algorithm on the specified partition of the database in the given subspace.

runDerivator(Relation<ParameterizationFunction>, int, CASHInterval, ModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.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(Database, Relation<V>, ArrayModifiableDBIDs, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC

Performs a single run of DOC, finding a single cluster.

runEvaluators(ResultHierarchy, Database) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep

runFastDOC(Database, Relation<V>, ArrayModifiableDBIDs, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC

Performs a single run of FastDOC, finding a single cluster.

runForEachK(String, int, int, int, ComputeKNNOutlierScores.AlgRunner) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores

Iterate over the k range.

runner - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Registers changes of this SVGPlot.

runPAMOptimization(DistanceQuery<V>, DBIDs, ArrayModifiableDBIDs, WritableIntegerDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM

Run the PAM optimization phase.

runQueue() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner

Run the processing queue now.

runResultHandlers(ResultHierarchy, Database) - Method in class de.lmu.ifi.dbs.elki.workflow.OutputStep

Run the result handlers.

RVEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Regularly Varying Functions estimator of the intrinsic dimensionality Reference: L.

RVEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.RVEstimator

RVEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Parameterization class.

RVEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.RVEstimator.Parameterizer

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