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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
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
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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ELKI Version 0.7.0

Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.