- 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.
- 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)
- RadiusCriterion - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch
-
Average Radius (R) criterion.
- RadiusCriterion() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.RadiusCriterion
-
- RadiusCriterion.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch
-
Parameterization class
- ralpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter.Parameterizer
-
- ralpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.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 generator 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.CLARANS.Parameterizer
-
Random factory for initialization.
- random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARANS
-
Random factory for initialization.
- random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FastCLARA.Parameterizer
-
Random factory for initialization.
- random - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FastCLARA
-
Random factory for initialization.
- 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.projection.SNE.Parameterizer
-
Random generator
- random - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE
-
Random generator
- random - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE.Parameterizer
-
Random generator
- random - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE
-
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.projection.random.AbstractRandomProjectionFamily.Parameterizer
-
Random generator.
- random - Variable in class de.lmu.ifi.dbs.elki.data.projection.random.AbstractRandomProjectionFamily
-
Random generator.
- random - Variable in class de.lmu.ifi.dbs.elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily
-
Random generator.
- 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.FastMultidimensionalScalingTransform.Parameterizer
-
Random generator.
- random - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform
-
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 - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution
-
Random source.
- random(int, int, Random) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil
-
Creates a new BitSet of fixed cardinality with randomly set bits.
- 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.CLARANS.Parameterizer
-
Random generator.
- RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FastCLARA.Parameterizer
-
Random generator.
- 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.algorithm.projection.SNE.Parameterizer
-
Random generator seed.
- RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE.Parameterizer
-
Random generator seed.
- RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Parameterizer
-
Random generator seed.
- RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.data.projection.random.AbstractRandomProjectionFamily.Parameterizer
-
Parameter for the random generator.
- RANDOM_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Parameterizer
-
Random seed 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.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.
- 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.
- RandomFactory - Class in de.lmu.ifi.dbs.elki.utilities.random
-
RandomFactory is responsible for creating Random generator objects.
- RandomFactory(long) - Constructor for class de.lmu.ifi.dbs.elki.utilities.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.
- 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.
- randomInitialSolution(int, int, Random) - Static method in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE
-
Generate a random initial solution.
- randomInitialSolution(int, int, Random) - Static method in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE
-
Generate a random initial solution.
- RandomizedCrossValidation - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout
-
RandomizedCrossValidation 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
- 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
- randomLatitudeLongitude(Random) - Static method in class tutorial.javaapi.GeoIndexing
-
Generate random coordinates.
- RandomlyChosenInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
-
Initialize K-means by randomly choosing k existing elements as initial
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.
- RandomNormalGeneratedInitialMeans - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
-
Initialize k-means by generating random vectors (normal distributed
with \(N(\mu,\sigma)\) in each dimension).
- RandomNormalGeneratedInitialMeans(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.RandomNormalGeneratedInitialMeans
-
Constructor.
- RandomNormalGeneratedInitialMeans.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
-
Parameterization class.
- 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.data.projection.random.RandomSubsetProjectionFamily
-
Perform a random permutation of the array, in-place.
- 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.
- 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.
- 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.
- RandomProjectionFamily - Interface in de.lmu.ifi.dbs.elki.data.projection.random
-
Interface for random projection families.
- RandomProjectionFamily.Projection - Interface in de.lmu.ifi.dbs.elki.data.projection.random
-
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(DBIDs, int, Random, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA
-
Draw a random sample of the desired size.
- 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.
- randomSampleExcept(DBIDs, DBIDRef, int, RandomFactory) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Produce a random sample of the given DBIDs.
- randomSampleExcept(DBIDs, DBIDRef, int, Random) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Produce a random sample of the given DBIDs.
- 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.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
-
Parameterization class
- 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.
- 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
- 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<E extends MTreeEntry,N extends AbstractMTreeNode<?,N,E>> - 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(DistributionStrategy, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit
-
Constructor.
- RandomSplit.Parameterizer<E extends MTreeEntry,N extends AbstractMTreeNode<?,N,E>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split
-
Parameterization class.
- 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.
- RandomSubsetProjectionFamily - Class in de.lmu.ifi.dbs.elki.data.projection.random
-
Random projection family based on selecting random features.
- RandomSubsetProjectionFamily(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.data.projection.random.RandomSubsetProjectionFamily
-
Constructor.
- RandomSubsetProjectionFamily.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.projection.random
-
Parameterization class.
- RandomSubsetProjectionFamily.SubsetProjection - Class in de.lmu.ifi.dbs.elki.data.projection.random
-
Random subset projection.
- randomSubspace(int, int, int, Random) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging
-
Choose a random subspace.
- RandomUniformGeneratedInitialMeans - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
-
Initialize k-means by generating random vectors (uniform, within the value
range of the data set).
- RandomUniformGeneratedInitialMeans(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.RandomUniformGeneratedInitialMeans
-
Constructor.
- RandomUniformGeneratedInitialMeans.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
-
Parameterization class.
- 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 range queries (radius queries).
- RangeMap(DBIDRange) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.RangeMap
-
- 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
- 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.
- 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(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition
-
Get the 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.
- 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
- 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.algorithm.clustering.kmeans.KMeansMinusMinus.Parameterizer
-
Outlier rate.
- rate - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMinusMinus
-
Outlier rate.
- 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.algorithm.clustering.kmeans.KMeansMinusMinus.Parameterizer
-
Parameter to specify the number of neighbors to ignore.
- 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.ExponentiallyModifiedGaussianDistribution.Parameterizer
-
- RATE_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution.Parameterizer
-
Shape parameter gamma.
- ratems - Variable in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress
-
Last rate.
- ratio - Variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations.Parameterizer
-
Ratio for canvas
- ratio - Variable in class de.lmu.ifi.dbs.elki.result.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.parallel3d.util.Simple1DOFCamera
-
Screen ratio
- 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.result.ExportVisualizations.Parameterizer
-
Parameter to specify the canvas ratio
- RationalQuadraticKernelFunction - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
-
- 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.
- 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
- rawsim - Variable in class de.lmu.ifi.dbs.elki.database.query.range.LinearScanPrimitiveSimilarityRangeQuery
-
Unboxed similarity function.
- RayleighDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Rayleigh distribution, a special case of the Weibull 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
- 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.
- 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.
- 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.
- 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 - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn
-
Settings for the RdKNN Tree.
- RdkNNSettings(int, SpatialPrimitiveDistanceFunction<NumberVector>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdkNNSettings
-
Constructor.
- 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) - 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) - 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.
- 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() - 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.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
-
- 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_DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer
-
Reassign by cluster distance
- REASSIGN_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer
-
Parameter for cluster reassignment
- reassignByDistance - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer
-
Reassign by distance, not density.
- reassignByDistance - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
-
Reassign objects by distance instead of density
- rebuildTree() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree
-
Rebuild the CFTree to condense it to approximately half the size.
- Rec() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec
-
- 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[]>, 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.
- RECOMMENDED - Static variable in annotation type de.lmu.ifi.dbs.elki.utilities.Priority
-
Recommended implementations.
- recompute(DBIDRef, int, double, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARANS.Assignment
-
Recompute the assignment of one point.
- recomputeCovarianceMatrices(Relation<? extends NumberVector>, WritableDataStore<double[]>, List<? extends EMClusterModel<?>>, double) - 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(double[], double[][]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance
-
Recompute the separation of cluster means.
- recomputeSeperation(double[][], double[][]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansCompare.Instance
-
Recompute the separation of cluster means.
- recomputeSeperation(double[][], double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly.Instance
-
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.Parameterizer
-
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
-
Reference algorithm.
- 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.
- 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.
- References - Annotation Type in de.lmu.ifi.dbs.elki.utilities.documentation
-
Container annotation to store multiple
Reference annotations.
- 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
-
- refineResult(Relation<V>, double[][], List<ModifiableDBIDs>, WritableDataStore<SameSizeKMeansAlgorithm<V>.Meta>, ArrayModifiableDBIDs) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm
-
Perform k-means style iterations to improve the clustering result.
- 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".
- 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<V>, 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<V>, 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.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared
-
Relation to visualize
- 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.
- relabelDistance - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain
-
Relabel objects by distance.
- 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.AbstractKMeans.Instance
-
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.DBIDDistanceQuery
-
Relation to query.
- relation - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
-
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.AbstractSimilarityRangeQuery
-
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.PrimitiveSimilarityQuery
-
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.distance.distancefunction.AbstractDatabaseDistanceFunction.Instance
-
Relation to query.
- relation - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance
-
Relation to query.
- relation - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Instance
-
Relation to query.
- 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.distancematrix.PrecomputedDistanceMatrix
-
Data relation.
- relation - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.AbstractPreprocessorIndex
-
The representation we are bound to.
- relation - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor
-
The representation we are bound to.
- relation - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor
-
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.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.
- RelationObjectIterator(DBIDIter, Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.RelationObjectIterator
-
Full Constructor.
- RelationObjectIterator(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.RelationObjectIterator
-
Simplified constructor.
- 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.CollectionFromRelation<O> - Class in de.lmu.ifi.dbs.elki.database.relation
-
Collection view on a database that retrieves the objects when needed.
- RelationUtil.DescendingByDoubleRelation - Class in de.lmu.ifi.dbs.elki.database.relation
-
Sort objects by a double relation
- RelationUtil.RelationObjectIterator<O> - Class in de.lmu.ifi.dbs.elki.database.relation
-
Iterator class that retrieves the given objects from the database.
- 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.
- RelativeEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter
-
The RelativeEigenPairFilter sorts the eigenpairs in descending order of their
eigenvalues and marks the first eigenpairs who are a certain factor above the
average of the remaining eigenvalues.
- RelativeEigenPairFilter(double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter
-
Constructor.
- RelativeEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter
-
Parameterization class.
- 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(double[], double, double, double, double[]) - 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.
- relativeMinFill - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.RTreeSettings
-
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.
- 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.
- 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.
- 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.
- relativeVerticalLineTo(double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
Draw a vertical line to the given relative y coordinate.
- relayout(String) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
-
- relevantSubspace(long[], DoubleDBIDList, OUTRES.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.
- RemainingOptions() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.RemainingOptions
-
Constructor.
- 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.DoubleIntegerDBIDArrayList.Itr
-
- remove(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDArrayList
-
- remove() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr
-
- remove(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
-
- 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(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(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray
-
Remove a range from the array.
- 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(PlotItem, VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.LayerMap
-
Remove a combination.
- 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.
- removeCameraListener(Simple1DOFCamera.CameraListener) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.Simple1DOFCamera
-
Remove a camera listener.
- 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
-
Remove a change listener
- 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
-
- 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.FastutilIntOpenHashSetModifiableDBIDs
-
- 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
-
- removeListener(ResultListener) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
-
- 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.
- removePreviousRelation(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.AbstractProjectionAlgorithm
-
Remove the previous relation.
- 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.
- 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.DoubleIntegerDBIDArrayList
-
- 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(GL2) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.AbstractSimpleOverlay
-
Main render method
- 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
- renderContents(GL2) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.AbstractSimpleOverlay
-
Render the actual overlay contents.
- renderContents(GL2) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.SimpleMenuOverlay
-
- renderContents(GL2) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.SimpleMessageOverlay
-
- Renderer() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer
-
Constructor.
- renderer - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.SimpleMenuOverlay
-
Text renderer
- renderer - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.SimpleMessageOverlay
-
Text renderer
- RenderFlag(int) - Constructor for enum de.lmu.ifi.dbs.elki.visualization.VisualizationTask.RenderFlag
-
Constructor.
- renderImage() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
-
- renderLabels(GL2, IntIntPair[]) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.Parallel3DRenderer
-
- renderTexture(GL2, int) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.Parallel3DRenderer
-
- 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 with random 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.
- 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.
- RepresentativenessEvaluation(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.RepresentativenessEvaluation
-
Constructor.
- 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.RepresentativenessEvaluation - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain
-
Representativeness evaluation result.
- 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.
- requestSize(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
-
Set the size request.
- 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(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
- 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
-
- resetStatistics() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.ClusteringFeature
-
Reset the CF to zero.
- reshape(GLAutoDrawable, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
-
- 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.experiments.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.experiments.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.
- RESTARTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARANS.Parameterizer
-
The number of restarts to run.
- restore(double, boolean) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.Linkage
-
Restore a distance to the original scale.
- restore(double, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.MinimumVarianceLinkage
-
- restore(double, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.WardLinkage
-
- 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.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
- result - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult
-
- result - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Instance
-
Result to output to.
- 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
-
- 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
-
Private constructor.
- 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.TextWriterPanel - Class in de.lmu.ifi.dbs.elki.visualization.gui
-
Simple configuration panel for the text output.
- 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.
- 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.FastutilIntOpenHashSetModifiableDBIDs
-
- 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.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.DoubleIntegerDBIDArrayList.Itr
-
- retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap.UnorderedIter
-
- retract() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListIter
-
- retract() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDSubList.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.Itr
-
- 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
- RetrievalPerformanceResult(int, double, double, double[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.RetrievalPerformanceResult
-
Constructor.
- 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.DoubleIntegerDBIDArrayList
-
Reverse the list.
- reverse(WritableDataStore<HashSetModifiableDBIDs>, WritableDataStore<HashSetModifiableDBIDs>, WritableDataStore<HashSetModifiableDBIDs>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent
-
calculates new and old neighbors for database
- ReverseAdapter(NumberArrayAdapter<?, ? super A>, int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.ReverseAdapter
-
Constructor.
- reversed(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AutotuningPCA
-
Sort an array of doubles in descending order.
- 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.
- 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.
- rho - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent.Factory.Parameterizer
-
sample rate
- rho - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent.Factory
-
sample rate
- rho - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent
-
sample rate
- RHO_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent.Factory.Parameterizer
-
Sample rate.
- rhs - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
-
The right hand side of the equation system.
- rightChild - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
-
Holds the right child.
- rightNeighbor(CLIQUEUnit, int) - 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.
- rightx - Variable in class de.lmu.ifi.dbs.elki.math.geometry.FilteredConvexHull2D
-
Left bound
- 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
-
Maximum radius.
- rmax - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI
-
Maximum radius.
- RMAX_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.Parameterizer
-
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
-
Random number generation.
- 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.initialization.LABInitialMeans
-
Random 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.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Instance
-
Random generator.
- rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Parameterizer
-
Random generator
- rnd - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm
-
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.NNDescent.Factory.Parameterizer
-
Random generator
- rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent.Factory
-
Random generator
- rnd - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent
-
Random generator
- 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.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.
- 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.
- ROCResult(XYCurve, double) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve.ROCResult
-
Constructor.
- root - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree
-
Current root node.
- 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(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Rotate the two-dimensional 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)
- rotationZ - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.Simple1DOFCamera
-
Rotation on X axis.
- 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.metrical.mtreevariants.query.MTreeSearchCandidate
-
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.metrical.mtreevariants.query.MTreeSearchCandidate
-
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
-
- 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.
- rq - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.SimilarityNeighborPredicate.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>, RTreeSettings) - 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<?>, RTreeSettings) - 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.
- 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>, RTreeSettings) - 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.
- 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
-
Private constructor.
- 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.
- 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.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index
-
Parameterization class.
- 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.
- RTreeSettings - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
-
Class to wrap common Rtree settings.
- RTreeSettings() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.RTreeSettings
-
Constructor with default values.
- RTreeSettings(BulkSplit) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.RTreeSettings
-
Constructor with default values and bulk loader.
- rules - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Instance
-
List of generated rules.
- rules - Variable in class de.lmu.ifi.dbs.elki.result.AssociationRuleResult
-
Association rules together with the interestingness measure.
- 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(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() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.parallel.ParallelGeneralizedDBSCAN.Instance
-
Run the parallel GDBSCAN algorithm.
- run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.parallel.ParallelGeneralizedDBSCAN
-
- run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance
-
Performs the DBSCAN algorithm on the given database.
- run(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN
-
Performs the DBSCAN algorithm on the given database.
- 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(Relation<NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.BIRCHLeafClustering
-
Run the clustering algorithm.
- run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram
-
- run(PointerHierarchyRepresentationResult) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram
-
Process a pointer hierarchy result.
- run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Instance
-
Extract all clusters from the pi-lambda-representation.
- run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ClustersWithNoiseExtraction
-
- run(PointerHierarchyRepresentationResult) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ClustersWithNoiseExtraction
-
Process an existing result.
- run(PointerHierarchyRepresentationResult) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByHeight
-
- run(PointerHierarchyRepresentationResult) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters
-
- run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance
-
Extract all clusters from the pi-lambda-representation.
- run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction
-
- run(PointerHierarchyRepresentationResult) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction
-
Process an existing result.
- run() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance
-
Extract all clusters from the pi-lambda-representation.
- run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction
-
- run(PointerHierarchyRepresentationResult) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction
-
Process an existing result.
- 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.MiniMax
-
Run the algorithm on a database.
- run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMaxAnderberg
-
Run the algorithm
- run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMaxNNChain
-
Run the algorithm
- run(Database, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.NNChain
-
Run the algorithm
- 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(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance
-
Run the clustering.
- 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 class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARANS
-
- run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FastCLARA
-
- run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FastCLARANS
-
- 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.KMeansAnnulus
-
- 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.KMeansCompare
-
- 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.KMeansExponion
-
- 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.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.KMeansMinusMinus
-
- run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSimplifiedElkan
-
- run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSort
-
- run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd
-
- run(ArrayModifiableDBIDs, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM.Instance
-
Run the PAM optimization phase.
- run(DistanceQuery<V>, DBIDs, ArrayModifiableDBIDs, WritableIntegerDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM
-
- run(ArrayModifiableDBIDs, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM1.Instance
-
Run the PAM optimization phase.
- run(DistanceQuery<V>, DBIDs, ArrayModifiableDBIDs, WritableIntegerDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM1
-
- run(ArrayModifiableDBIDs, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM.Instance
-
Run the PAM optimization phase.
- run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM
-
Run k-medoids
- run(DistanceQuery<V>, DBIDs, ArrayModifiableDBIDs, WritableIntegerDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM
-
Run the main algorithm.
- run(ArrayModifiableDBIDs, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAMReynolds.Instance
-
Run the PAM optimization phase.
- run(DistanceQuery<V>, DBIDs, ArrayModifiableDBIDs, WritableIntegerDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAMReynolds
-
- run(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPark
-
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(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.Leader
-
Run the leader clustering algorithm.
- 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<V>) - 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<? extends NumberVector>) - 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(FrequentItemsetsResult) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Instance
-
Process a set of frequent itemsets.
- run(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration
-
Run on a 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(Relation<V>, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin
-
Inner run method.
- run(SpatialIndexTree<N, E>, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin
-
Inner run method.
- 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<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.CBLOF
-
Runs the CBLOF algorithm on the given database.
- 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.KNNDD
-
Runs the algorithm in the timed evaluation part.
- run(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.KNNDD
-
Runs the algorithm in the timed evaluation part.
- 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(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.KNNSOS
-
Run the algorithm.
- 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(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.SOS
-
Run the algorithm.
- 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(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.ISOS
-
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<? extends NumberVector>) - 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, Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.BarnesHutTSNE
-
- run(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE
-
- run(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE
-
- 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) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddUniformScale
-
- run(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddUniformScale
-
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 the distance quantile sampler.
- 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(Relation<DoubleVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Instance
-
Run the change point detection algorithm on a data relation.
- run(Relation<DoubleVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm
-
Executes multiple change point detection for given relation
- run(Relation<NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection.Instance
-
Process a relation.
- run(Relation<NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection
-
Executes Signi-Trend for given relation
- 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.cache.PrecomputeDistancesAsciiApplication
-
- 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.experiments.VisualizeGeodesicDistances
-
- 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.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.CutDendrogramByHeightExtractor.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.parallel3d.OpenGL3DParallelCoordinates.Instance
-
- run() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread
-
- run(Database, Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1
-
Run the algorithm
- run(Database, Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2
-
Run the algorithm
- run(Database, Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3
-
Run the algorithm
- run(Database, Relation<O>) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4
-
Run the algorithm
- run(Database, Relation<V>) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm
-
Run k-means with cluster size constraints.
- run(Database, Relation<O>) - Method in class tutorial.outlier.DistanceStddevOutlier
-
Run the outlier detection algorithm
- run(Database, Relation<O>) - Method in class tutorial.outlier.ODIN
-
Run the ODIN algorithm
Tutorial note: the
signature of this method depends on the types
that we requested in the
ODIN.getInputTypeRestriction() method.
- 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.
- runDOC(Database, Relation<V>, ArrayModifiableDBIDs, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.FastDOC
-
Performs a single run of FastDOC, finding a single cluster.
- runEvaluators(ResultHierarchy, Database) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep
-
- runForEachK(String, int, int, IntFunction<OutlierResult>, BiConsumer<String, OutlierResult>) - 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.
- 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.
![recDrawEdges(SVGPath, double, double, List<double[]>, long[])](../de/lmu/ifi/dbs/elki/visualization/svg/SVGHyperCube.html#recDrawEdges-de.lmu.ifi.dbs.elki.visualization.svg.SVGPath-double-double-java.util.List-long:A-){kind=link}
![recDrawSides(SVGPlot, Element, String, double, double, List<double[]>, int, long[])](../de/lmu/ifi/dbs/elki/visualization/svg/SVGHyperCube.html#recDrawSides-de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot-org.w3c.dom.Element-java.lang.String-double-double-java.util.List-int-long:A-){kind=link}
