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C

c - Variable in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.IntOpenHashSet

Scan position for pop().

c - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

Count the number of values seen.

c - Variable in class elki.math.geometry.SweepHullDelaunay2D.Triangle

References to points in Delaunay2D.points

c - Variable in class elki.math.statistics.distribution.ConstantDistribution

The constant

c - Variable in class elki.outlier.GaussianUniformMixture

Holds the cutoff value.

c - Variable in class elki.outlier.GaussianUniformMixture.Par

Cutoff parameter

c - Variable in class elki.outlier.lof.LDF

Scaling constant, to limit value range to 1/c

c - Variable in class elki.outlier.spatial.CTLuRandomWalkEC

Parameter c: damping factor.

c - Variable in class elki.similarity.kernel.RationalQuadraticKernel

Constant term c.

c - Variable in class elki.similarity.kernel.RationalQuadraticKernel.Par

C parameter

c - Variable in class elki.similarity.kernel.SigmoidKernel

Scaling factor c, bias theta

c - Variable in class elki.similarity.kernel.SigmoidKernel.Par

C parameter, theta parameter

c - Variable in class elki.visualization.visualizers.actions.ClusterStyleAction.SetStyleAction

Clustering to use

c - Variable in class tutorial.clustering.SameSizeKMeans.PreferenceComparator

Meta to use for comparison.

c(double) - Static method in class elki.outlier.density.IsolationForest

Returns the average path length of an unsuccessful search.

C - Variable in class elki.clustering.svm.SupportVectorClustering

C parameter.

C - Variable in class elki.outlier.svm.SVDD

C parameter.

C - Variable in class elki.svm.EpsilonSVR

C - Variable in class elki.svm.NuSVR

C - Variable in class elki.svm.R2q

C - Variable in class elki.svm.SVDD

C_ID - Static variable in class elki.outlier.GaussianUniformMixture.Par

Parameter to specify the cutoff.

C_ID - Static variable in class elki.similarity.kernel.RationalQuadraticKernel.Par

C parameter

C_ID - Static variable in class elki.similarity.kernel.SigmoidKernel.Par

C parameter: scaling

C1 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator

C1 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator

Estimation constants

C2 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator

C2 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator

Estimation constants

C3 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator

C3 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator

Estimation constants

ca - Variable in class elki.math.geometry.SweepHullDelaunay2D.Triangle

References to neighbor triangles

cache - Variable in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery

Cache

cache - Variable in class elki.distance.external.DiskCacheBasedDoubleDistance

The distance matrix

cache - Variable in class elki.distance.external.DiskCacheBasedDoubleDistance.Par

The distance matrix

cache - Variable in class elki.distance.external.DiskCacheBasedFloatDistance

The distance cache

cache - Variable in class elki.distance.external.DiskCacheBasedFloatDistance.Par

The distance matrix

cache - Variable in class elki.distance.external.FileBasedSparseDoubleDistance

The distance cache

cache - Variable in class elki.distance.external.FileBasedSparseFloatDistance

The distance cache

cache - Variable in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver

Cache object

cache - Variable in class elki.visualization.style.PropertiesBasedStyleLibrary

Cache

CACHE_ID - Static variable in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Par

Parameter that specifies the name of the directory to be re-parsed.

CACHE_ID - Static variable in class elki.application.cache.CacheDoubleDistanceKNNLists.Par

Parameter that specifies the name of the directory to be re-parsed.

CACHE_ID - Static variable in class elki.application.cache.CacheDoubleDistanceRangeQueries.Par

Parameter that specifies the name of the directory to be re-parsed.

CACHE_ID - Static variable in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Par

Option ID for the kNN file.

CACHE_SHIFT - Static variable in interface elki.utilities.datastructures.histogram.Histogram

This parameter controls the cache size used for dynamic histograms before setting the initial thresholds.

cache_size - Variable in class elki.svm.AbstractSingleSVM

CACHE_SIZE_ID - Static variable in class elki.persistent.LRUCachePageFileFactory.Par

Parameter to specify the size of the cache in bytes, must be an integer equal to or greater than 0.

cachec - Variable in class elki.utilities.datastructures.histogram.DoubleDynamicHistogram

Cache for data to be inserted.

CachedDistanceQuery(DistanceQuery<V>, int) - Constructor for class elki.clustering.kmedoids.CLARA.CachedDistanceQuery

Constructor.

CachedDoubleDistanceKNNPreprocessor<O> - Class in elki.index.preprocessed.knn

Preprocessor that loads an existing cached kNN result.

CachedDoubleDistanceKNNPreprocessor(Relation<O>, Distance<? super O>, int, Path) - Constructor for class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor

Constructor.

CachedDoubleDistanceKNNPreprocessor.Factory<O> - Class in elki.index.preprocessed.knn

The parameterizable factory.

CachedDoubleDistanceKNNPreprocessor.Factory.Par<O> - Class in elki.index.preprocessed.knn

Parameterization class.

CacheDoubleDistanceInOnDiskMatrix<O> - Class in elki.application.cache

Precompute an on-disk distance matrix, using double precision.

CacheDoubleDistanceInOnDiskMatrix(Database, Distance<? super O>, Path) - Constructor for class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Constructor.

CacheDoubleDistanceInOnDiskMatrix.Par<O> - Class in elki.application.cache

Parameterization class.

CacheDoubleDistanceKNNLists<O> - Class in elki.application.cache

Precompute the k nearest neighbors in a disk cache.

CacheDoubleDistanceKNNLists(Database, Distance<? super O>, int, Path) - Constructor for class elki.application.cache.CacheDoubleDistanceKNNLists

Constructor.

CacheDoubleDistanceKNNLists.Par<O> - Class in elki.application.cache

Parameterization class.

CacheDoubleDistanceRangeQueries<O> - Class in elki.application.cache

Precompute the k nearest neighbors in a disk cache.

CacheDoubleDistanceRangeQueries(Database, Distance<? super O>, double, Path) - Constructor for class elki.application.cache.CacheDoubleDistanceRangeQueries

Constructor.

CacheDoubleDistanceRangeQueries.Par<O> - Class in elki.application.cache

Parameterization class.

CachedQMatrix - Class in elki.svm.qmatrix

This is the original cache from the libSVN implementation.

CachedQMatrix(int, double, QMatrix) - Constructor for class elki.svm.qmatrix.CachedQMatrix

CachedQMatrix(int, long, QMatrix) - Constructor for class elki.svm.qmatrix.CachedQMatrix

cachefill - Variable in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram

Cache fill size

cachefill - Variable in class elki.utilities.datastructures.histogram.DoubleDynamicHistogram

Cache fill size

CacheFloatDistanceInOnDiskMatrix<O> - Class in elki.application.cache

Precompute an on-disk distance matrix, using float precision.

CacheFloatDistanceInOnDiskMatrix(Database, Distance<? super O>, Path) - Constructor for class elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Constructor.

CacheFloatDistanceInOnDiskMatrix.Par<O> - Class in elki.application.cache

Parameterization class.

cacheposs - Variable in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram

Cache for positions to be inserted.

cacheR1(DBIDIter, NumberVector, int) - Method in class elki.clustering.kmeans.HartiganWongKMeans.Instance

Compute and cache the R1 value.

cacheSize - Variable in class elki.persistent.LRUCache

The maximum number of objects in this cache.

cacheSize - Variable in class elki.persistent.LRUCachePageFileFactory

Cache size, in bytes.

cacheSize - Variable in class elki.persistent.LRUCachePageFileFactory.Par

Cache size, in bytes.

cacheSizeBytes - Variable in class elki.persistent.LRUCache

Cache size in bytes.

cachev - Variable in class elki.utilities.datastructures.histogram.DoubleDynamicHistogram

Cache for data to be inserted.

cachevals - Variable in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram

Cache for data to be inserted.

cadj - Variable in class elki.utilities.datastructures.KuhnMunkresWong

Column bias offsets

calcfixedpart(RegressionModel, ArrayDBIDs, SimilarityQuery<NumberVector>) - Method in class elki.clustering.svm.SupportVectorClustering

calculate fixed part of model evaluation

calcMoment(DBIDRef, DBIDs, int) - Method in class elki.index.tree.metrical.vptree.VPTree.Builder

Calculate the 2nd moment to the median of the distances to p

calcP_i(double, double, double) - Static method in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling

Compute p_i (Gaussian distribution, outliers)

calcPosterior(double, double, double, double, double) - Static method in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling

Compute the a posterior probability for the given parameters.

calcQ_i(double, double) - Static method in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling

Compute q_i (Exponential distribution, inliers)

calcScales(Relation<? extends SpatialComparable>) - Static method in class elki.math.scales.Scales

Compute a linear scale for each dimension.

calculate_MDEF_norm(ALOCI.Node, ALOCI.Node) - Static method in class elki.outlier.lof.ALOCI

Method for the MDEF calculation

calculate_obj() - Method in class elki.svm.solver.Solver

calculate_rho() - Method in class elki.svm.solver.NuSolver

calculate_rho() - Method in class elki.svm.solver.Solver

calculateApproximation(DBIDRef, V) - Method in class elki.index.vafile.VAFile

Calculate the VA file position given the existing borders.

calculateContrast(Relation<? extends NumberVector>, HiCS.HiCSSubspace, ArrayList<ArrayDBIDs>, Random) - Method in class elki.outlier.meta.HiCS

Calculates the actual contrast of a given subspace.

calculateFullApproximation(DBIDRef, V) - Method in class elki.index.vafile.PartialVAFile

Calculate the VA file position given the existing borders.

calculateLinearDerivativeLimits(double[][], double[], double[], double[], int, double[]) - Method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver

Calculates the min and max value of a linear derivative of a quadratic function in the bounding box.

calculateModelLimits(double[], double[], ConstrainedQuadraticProblemSolver, double, double[], double[], double[]) - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel

Compute the weight of a Gaussian with respect to a bounding box.

calculateModelLimits(KDTreeEM.KDTree, TextbookMultivariateGaussianModel, double[], double[], double[]) - Method in class elki.clustering.em.KDTreeEM

Calculates the model limits inside this node by translating the Gaussian model into a squared function.

calculatePartialApproximation(NumberVector, List<DoubleObjPair<DAFile>>) - Static method in class elki.index.vafile.PartialVAFile

Calculate partial vector approximation.

calculateQuantileCase0(double, int) - Static method in class elki.math.statistics.tests.AndersonDarlingTest

Calculates the p-value for an Anderson Darling statistic in the case where both center and variance are known.

calculateQuantileCase3(double) - Static method in class elki.math.statistics.tests.AndersonDarlingTest

Calculates the quantile for an Anderson Darling statistic in the case where both center and variance are unknown.

calculateSelectivityCoeffs(List<DoubleObjPair<DAFile>>, NumberVector, double) - Static method in class elki.index.vafile.PartialVAFile

Calculate selectivity coefficients.

calculateSubspaces(Relation<? extends NumberVector>, ArrayList<ArrayDBIDs>, Random) - Method in class elki.outlier.meta.HiCS

Identifies high contrast subspaces in a given full-dimensional database.

calculateTestStatistic(double[], double[]) - Static method in class elki.math.statistics.tests.KolmogorovSmirnovTest

Calculates the maximum distance between the two empirical CDFs of two data samples.

calculateVariances(int[], double[][], ClusteringFeature[], int[]) - Method in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans

Calculate variance of clusters based on clustering features.

calculateVariances(int[], double[][], ArrayList<? extends ClusterFeature>, int[]) - Method in class elki.clustering.kmeans.BetulaLloydKMeans

Calculate variance of clusters based on clustering features.

call() - Method in class elki.parallel.ParallelExecutor.BlockArrayRunner

callback - Variable in class elki.visualization.visualizers.thumbs.ThumbnailThread.Task

Runnable to call back

camera - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared

Camera handling class

camera - Variable in class elki.visualization.parallel3d.util.Arcball1DOFAdapter

The true camera.

cameraChanged() - Method in interface elki.visualization.parallel3d.util.Simple1DOFCamera.CameraListener

Camera changed.

CanberraDistance - Class in elki.distance

Canberra distance function, a variation of Manhattan distance.

CanberraDistance() - Constructor for class elki.distance.CanberraDistance

Constructor.

CanberraDistance.Par - Class in elki.distance

Parameterization class.

canBulkLoad() - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Test whether a bulk insert is still possible.

Cand(double[][], double, int) - Constructor for class elki.math.linearalgebra.pca.AutotuningPCA.Cand

Constructor.

candidates - Variable in class elki.clustering.optics.GeneralizedOPTICS.Instance

Current list of candidates.

candidates - Variable in class elki.clustering.optics.OPTICSList.Instance

Current list of candidates.

candidates - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher

Candidates

candidates - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher

Candidates

candidates - Variable in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher

Current iterator.

CANONICAL_BANDWIDTH - Static variable in class elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction

Canonical bandwidth: 35^(1/5)

CANONICAL_BANDWIDTH - Static variable in class elki.math.statistics.kernelfunctions.CosineKernelDensityFunction

Canonical bandwidth.

CANONICAL_BANDWIDTH - Static variable in class elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction

Canonical bandwidth: 15^(1/5)

CANONICAL_BANDWIDTH - Static variable in class elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction

Canonical bandwidth: (1./(4*pi))^(1/10)

CANONICAL_BANDWIDTH - Static variable in class elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction

Canonical bandwidth.

CANONICAL_BANDWIDTH - Static variable in class elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction

Canonical bandwidth.

CANONICAL_BANDWIDTH - Static variable in class elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction

Canonical bandwidth: (9450/143)^(1/5)

CANONICAL_BANDWIDTH - Static variable in class elki.math.statistics.kernelfunctions.UniformKernelDensityFunction

Canonical bandwidth: (9/2)^(1/5)

canonicalBandwidth() - Method in class elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction

canonicalBandwidth() - Method in class elki.math.statistics.kernelfunctions.CosineKernelDensityFunction

canonicalBandwidth() - Method in class elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction

canonicalBandwidth() - Method in class elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction

canonicalBandwidth() - Method in interface elki.math.statistics.kernelfunctions.KernelDensityFunction

Get the canonical bandwidth for this kernel.

canonicalBandwidth() - Method in class elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction

canonicalBandwidth() - Method in class elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction

canonicalBandwidth() - Method in class elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction

canonicalBandwidth() - Method in class elki.math.statistics.kernelfunctions.UniformKernelDensityFunction

canonicalClassName(Class<?>, Class<?>) - Static method in class elki.utilities.optionhandling.parameters.ClassParameter

Get the "simple" form of a class name.

canonicalClassName(Class<?>, Package) - Static method in class elki.utilities.optionhandling.parameters.ClassParameter

Get the "simple" form of a class name.

CanopyPreClustering<O> - Class in elki.clustering

Canopy pre-clustering is a simple preprocessing step for clustering.

CanopyPreClustering(Distance<? super O>, double, double) - Constructor for class elki.clustering.CanopyPreClustering

Constructor.

canRun() - Method in class elki.gui.multistep.panels.ParameterTabPanel

Test if this tab is ready-to-run

canvas - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance

The OpenGL canvas

CanvasSize - Class in elki.visualization.projections

Size of a canvas.

CanvasSize(double, double, double, double) - Constructor for class elki.visualization.projections.CanvasSize

Constructor.

canVisualize(Relation<?>, AbstractMTree<?, ?, ?, ?>) - Static method in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization

Test for a visualizable index in the context's database.

capacity - Variable in class elki.clustering.hierarchical.birch.CFTree

Capacity of a node.

capacity - Variable in class elki.index.tree.betula.CFTree

Capacity of a node.

capacity() - Method in class elki.index.tree.betula.CFNode

Get the node capacity.

capacity(long[]) - Static method in class elki.utilities.datastructures.BitsUtil

Capacity of the vector v.

capital_n - Variable in class elki.outlier.distance.HilOut

Set sizes, total and current iteration

capital_n_star - Variable in class elki.outlier.distance.HilOut

Set sizes, total and current iteration

cardinality() - Method in class elki.data.BitVector

Compute the vector cardinality (uncached!)

cardinality(long) - Static method in class elki.utilities.datastructures.BitsUtil

Compute the cardinality (number of set bits)

cardinality(long[]) - Static method in class elki.utilities.datastructures.BitsUtil

Compute the cardinality (number of set bits)

CARRIAGE_RETURN - Static variable in class elki.logging.OutputStreamLogger

Carriage return character.

CASH - Class in elki.clustering.correlation

The CASH algorithm is a subspace clustering algorithm based on the Hough transform.

CASH(int, int, int, double, boolean) - Constructor for class elki.clustering.correlation.CASH

Constructor.

CASH.Par - Class in elki.clustering.correlation

Parameterization class.

CASHInterval - Class in elki.clustering.correlation.cash

Provides a unique interval represented by its id, a hyper bounding box representing the alpha intervals, an interval of the corresponding distance, and a set of objects ids associated with this interval.

CASHInterval() - Constructor for class elki.clustering.correlation.cash.CASHInterval

Empty constructor for Externalizable interface.

CASHInterval(double[], double[], CASHIntervalSplit, ModifiableDBIDs, int, int, double, double) - Constructor for class elki.clustering.correlation.cash.CASHInterval

Provides a unique interval represented by its id, a hyper bounding box and a set of objects ids associated with this interval.

CASHIntervalSplit - Class in elki.clustering.correlation.cash

Supports the splitting of CASH intervals.

CASHIntervalSplit(Relation<ParameterizationFunction>, int) - Constructor for class elki.clustering.correlation.cash.CASHIntervalSplit

Initializes the logger and sets the debug status to the given value.

cast(Object) - Method in class elki.data.type.SimpleTypeInformation

Cast the object to type T (actually to the given restriction class!).

CategorialDataAsNumberVectorParser<V extends NumberVector> - Class in elki.datasource.parser

A very simple parser for categorial data, which will then be encoded as numbers.

CategorialDataAsNumberVectorParser(NumberVector.Factory<V>) - Constructor for class elki.datasource.parser.CategorialDataAsNumberVectorParser

Constructor with defaults.

CategorialDataAsNumberVectorParser(CSVReaderFormat, long[], NumberVector.Factory<V>) - Constructor for class elki.datasource.parser.CategorialDataAsNumberVectorParser

Constructor.

CategorialDataAsNumberVectorParser.Par<V extends NumberVector> - Class in elki.datasource.parser

Parameterization class.

CauchyDistribution - Class in elki.math.statistics.distribution

Cauchy distribution.

CauchyDistribution(double, double) - Constructor for class elki.math.statistics.distribution.CauchyDistribution

Constructor with default random.

CauchyDistribution.Par - Class in elki.math.statistics.distribution

Parameterization class

CauchyMADEstimator - Class in elki.math.statistics.distribution.estimator

Estimate Cauchy distribution parameters using Median and MAD.

CauchyMADEstimator() - Constructor for class elki.math.statistics.distribution.estimator.CauchyMADEstimator

Private constructor, use static instance!

CauchyMADEstimator.Par - Class in elki.math.statistics.distribution.estimator

Parameterization class.

CauchyRandomProjectionFamily - Class in elki.data.projection.random

Random projections using Cauchy distributions (1-stable).

CauchyRandomProjectionFamily(RandomFactory) - Constructor for class elki.data.projection.random.CauchyRandomProjectionFamily

Constructor.

CauchyRandomProjectionFamily.Par - Class in elki.data.projection.random

Parameterization class.

CBLOF<O extends NumberVector> - Class in elki.outlier.clustering

Cluster-based local outlier factor (CBLOF).

CBLOF(NumberVectorDistance<? super O>, ClusteringAlgorithm<Clustering<MeanModel>>, double, double) - Constructor for class elki.outlier.clustering.CBLOF

Constructor.

ccsim - Variable in class elki.clustering.kmeans.spherical.SphericalElkanKMeans.Instance

Cluster center similarities

cdf(double) - Method in class elki.math.statistics.distribution.BetaDistribution

cdf(double) - Method in class elki.math.statistics.distribution.CauchyDistribution

cdf(double) - Method in class elki.math.statistics.distribution.ChiDistribution

cdf(double) - Method in class elki.math.statistics.distribution.ConstantDistribution

cdf(double) - Method in interface elki.math.statistics.distribution.Distribution

Return the cumulative density function at the given value.

cdf(double) - Method in class elki.math.statistics.distribution.ExpGammaDistribution

cdf(double) - Method in class elki.math.statistics.distribution.ExponentialDistribution

cdf(double) - Method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution

cdf(double) - Method in class elki.math.statistics.distribution.GammaDistribution

cdf(double) - Method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution

cdf(double) - Method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution

cdf(double) - Method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution

cdf(double) - Method in class elki.math.statistics.distribution.GeneralizedParetoDistribution

cdf(double) - Method in class elki.math.statistics.distribution.GumbelDistribution

cdf(double) - Method in class elki.math.statistics.distribution.HaltonUniformDistribution

cdf(double) - Method in class elki.math.statistics.distribution.InverseGaussianDistribution

cdf(double) - Method in class elki.math.statistics.distribution.KappaDistribution

cdf(double) - Method in class elki.math.statistics.distribution.LaplaceDistribution

cdf(double) - Method in class elki.math.statistics.distribution.LogGammaDistribution

cdf(double) - Method in class elki.math.statistics.distribution.LogisticDistribution

cdf(double) - Method in class elki.math.statistics.distribution.LogLogisticDistribution

cdf(double) - Method in class elki.math.statistics.distribution.LogNormalDistribution

cdf(double) - Method in class elki.math.statistics.distribution.NormalDistribution

cdf(double) - Method in class elki.math.statistics.distribution.PoissonDistribution

cdf(double) - Method in class elki.math.statistics.distribution.RayleighDistribution

cdf(double) - Method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution

cdf(double) - Method in class elki.math.statistics.distribution.StudentsTDistribution

cdf(double) - Method in class elki.math.statistics.distribution.UniformDistribution

cdf(double) - Method in class elki.math.statistics.distribution.WeibullDistribution

cdf(double, double) - Static method in class elki.math.statistics.distribution.ChiDistribution

Cumulative density function.

cdf(double, double) - Static method in class elki.math.statistics.distribution.ChiSquaredDistribution

The CDF, static version.

cdf(double, double) - Static method in class elki.math.statistics.distribution.ExponentialDistribution

Cumulative density, static version

cdf(double, double) - Static method in class elki.math.statistics.distribution.LaplaceDistribution

Cumulative density, static version

cdf(double, double) - Static method in class elki.math.statistics.distribution.RayleighDistribution

CDF of Rayleigh distribution

cdf(double, double, double) - Static method in class elki.math.statistics.distribution.BetaDistribution

Static version of the CDF of the beta distribution

cdf(double, double, double) - Static method in class elki.math.statistics.distribution.CauchyDistribution

PDF function, static version.

cdf(double, double, double) - Static method in class elki.math.statistics.distribution.GammaDistribution

The CDF, static version.

cdf(double, double, double) - Static method in class elki.math.statistics.distribution.GumbelDistribution

CDF of Gumbel distribution

cdf(double, double, double) - Static method in class elki.math.statistics.distribution.InverseGaussianDistribution

Cumulative probability density function (CDF) of a Wald distribution.

cdf(double, double, double) - Static method in class elki.math.statistics.distribution.LogisticDistribution

Cumulative density function.

cdf(double, double, double) - Static method in class elki.math.statistics.distribution.LogNormalDistribution

Cumulative probability density function (CDF) of a normal distribution.

cdf(double, double, double) - Static method in class elki.math.statistics.distribution.NormalDistribution

Cumulative probability density function (CDF) of a normal distribution.

cdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.ExpGammaDistribution

The CDF, static version.

cdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution

Cumulative probability density function (CDF) of an exgauss distribution.

cdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution

CDF of GEV distribution

cdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution

Cumulative density function.

cdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution

Cumulative density function.

cdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedParetoDistribution

CDF of GPD distribution

cdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.LogGammaDistribution

The CDF, static version.

cdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.LogLogisticDistribution

Cumulative density function.

cdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution

Cumulative probability density function (CDF) of a normal distribution.

cdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.WeibullDistribution

CDF of Weibull distribution

cdf(double, double, double, double, double) - Static method in class elki.math.statistics.distribution.KappaDistribution

Cumulative density function.

cdf(double, int) - Static method in class elki.math.statistics.distribution.StudentsTDistribution

Static version of the CDF of the t-distribution for t > 0

cdim - Variable in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.COPACModel

Correlation dimensionality.

cdist - Variable in class elki.clustering.kmeans.AnnulusKMeans.Instance

Cluster center distances.

cdist - Variable in class elki.clustering.kmeans.CompareMeans.Instance

Cluster center distances.

cdist - Variable in class elki.clustering.kmeans.ElkanKMeans.Instance

Cluster center distances

cdist - Variable in class elki.clustering.kmeans.ExponionKMeans.Instance

Cluster center distances.

cdist - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans.Instance

Cluster center distances

cdiv(double, double, double, double, double[], int) - Static method in class elki.math.linearalgebra.EigenvalueDecomposition

Complex scalar division, writing into buf[off++]

cdrift - Variable in class elki.clustering.kmeans.YinYangKMeans.Instance

Distance moved by each center.

cells - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance

Number of cells per dimension.

center - Variable in class elki.outlier.lof.ALOCI.Node

Center vector

center - Variable in class elki.outlier.subspace.SOD.SODModel

Center vector

center - Variable in class elki.projection.BarnesHutTSNE.QuadTree

Center of mass (NOT center of bounding box)

CENTER - Static variable in class elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization

Average value use for NaNs

CENTER_ROTATE - elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Mode

Center and rotate

centerKernelMatrix(KernelMatrix) - Static method in class elki.similarity.kernel.KernelMatrix

Centers the Kernel Matrix in Feature Space according to Smola et.

centerMatrix(double[][]) - Static method in class elki.similarity.kernel.KernelMatrix

Centers the matrix in feature space according to Smola et Schoelkopf, Learning with Kernels p. 431 Alters the input matrix.

CenterOfMassMetaClustering<C extends Clustering<?>> - Class in elki.clustering.uncertain

Center-of-mass meta clustering reduces uncertain objects to their center of mass, then runs a vector-oriented clustering algorithm on this data set.

CenterOfMassMetaClustering(ClusteringAlgorithm<C>) - Constructor for class elki.clustering.uncertain.CenterOfMassMetaClustering

Constructor, quite trivial.

CenterOfMassMetaClustering.Par<C extends Clustering<?>> - Class in elki.clustering.uncertain

Parameterization class.

centers - Variable in class elki.data.synthetic.bymodel.GeneratorMain.AssignLabelsByDistance

Cluster centers.

centroid - Variable in class elki.clustering.correlation.ORCLUS.ORCLUSCluster

The centroid of this cluster.

centroid - Variable in class elki.clustering.subspace.PROCLUS.PROCLUSCluster

The centroids of this cluster along each dimension.

centroid - Variable in class elki.data.model.CorrelationAnalysisSolution

The centroid if the objects belonging to the hyperplane induced by the correlation.

centroid(int) - Method in class elki.clustering.hierarchical.birch.ClusteringFeature

Centroid value in dimension i.

centroid(int) - Method in class elki.index.tree.betula.features.BIRCHCF

centroid(int) - Method in interface elki.index.tree.betula.features.ClusterFeature

Returns the mean of the specified dimension.

centroid(int) - Method in class elki.index.tree.betula.features.VIIFeature

centroid(int) - Method in class elki.index.tree.betula.features.VVIFeature

centroid(int) - Method in class elki.index.tree.betula.features.VVVFeature

centroid(SpatialComparable) - Static method in class elki.data.spatial.SpatialUtil

Returns the centroid of this SpatialComparable.

Centroid - Class in elki.math.linearalgebra

Class to compute the centroid of some data.

Centroid(int) - Constructor for class elki.math.linearalgebra.Centroid

Constructor.

CENTROID - tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Linkage

CENTROID - tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Linkage

CentroidEuclideanDistance - Class in elki.clustering.hierarchical.birch

Centroid Euclidean distance.

CentroidEuclideanDistance - Class in elki.index.tree.betula.distance

Centroid Euclidean distance.

CentroidEuclideanDistance() - Constructor for class elki.clustering.hierarchical.birch.CentroidEuclideanDistance

CentroidEuclideanDistance() - Constructor for class elki.index.tree.betula.distance.CentroidEuclideanDistance

CentroidEuclideanDistance.Par - Class in elki.clustering.hierarchical.birch

Parameterization class.

CentroidEuclideanDistance.Par - Class in elki.index.tree.betula.distance

Parameterization class.

CentroidLinkage - Class in elki.clustering.hierarchical.linkage

Centroid linkage — Unweighted Pair-Group Method using Centroids (UPGMC).

CentroidLinkage() - Constructor for class elki.clustering.hierarchical.linkage.CentroidLinkage

Deprecated.

use the static instance CentroidLinkage.STATIC instead.

CentroidLinkage.Par - Class in elki.clustering.hierarchical.linkage

Class parameterizer.

CentroidManhattanDistance - Class in elki.clustering.hierarchical.birch

Centroid Manhattan Distance

CentroidManhattanDistance - Class in elki.index.tree.betula.distance

Centroid Manhattan Distance

CentroidManhattanDistance() - Constructor for class elki.clustering.hierarchical.birch.CentroidManhattanDistance

CentroidManhattanDistance() - Constructor for class elki.index.tree.betula.distance.CentroidManhattanDistance

CentroidManhattanDistance.Par - Class in elki.clustering.hierarchical.birch

Parameterization class.

CentroidManhattanDistance.Par - Class in elki.index.tree.betula.distance

Parameterization class.

centroids - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor

Updated cluster centroids

centroids - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor.Instance

Updated cluster centroids

centroids(Relation<? extends NumberVector>, List<? extends Cluster<?>>, NumberVector[], NoiseHandling) - Static method in class elki.evaluation.clustering.internal.SimplifiedSilhouette

Compute centroids.

CertaintyFactor - Class in elki.itemsetmining.associationrules.interest

Certainty factor (CF; Loevinger) interestingness measure. \( \tfrac{\text{confidence}(X \rightarrow Y) - \text{support}(Y)}{\text{support}(\neg Y)} \).

CertaintyFactor() - Constructor for class elki.itemsetmining.associationrules.interest.CertaintyFactor

Constructor.

cf - Variable in class elki.index.tree.betula.CFNode

Cluster feature

CFDistance - Interface in elki.index.tree.betula.distance

Distance function for BIRCH clustering.

CFDistanceMatrix - Class in elki.index.tree.betula

Cluster feature distance matrix, used for clustering.

CFDistanceMatrix(ClusterFeature[]) - Constructor for class elki.index.tree.betula.CFDistanceMatrix

Constructor.

cffactory - Variable in class elki.clustering.BetulaLeafPreClustering

CFTree factory.

cffactory - Variable in class elki.clustering.BetulaLeafPreClustering.Par

CFTree factory.

cffactory - Variable in class elki.clustering.em.BetulaGMM

CFTree factory.

cffactory - Variable in class elki.clustering.em.BetulaGMM.Par

CFTree factory.

cffactory - Variable in class elki.clustering.hierarchical.birch.BIRCHLeafClustering

CFTree factory.

cffactory - Variable in class elki.clustering.hierarchical.birch.BIRCHLeafClustering.Par

CFTree factory.

cffactory - Variable in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans

CFTree factory.

cffactory - Variable in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans.Par

CFTree factory.

cffactory - Variable in class elki.clustering.kmeans.BetulaLloydKMeans

CFTree factory.

cffactory - Variable in class elki.clustering.kmeans.BetulaLloydKMeans.Par

CFTree factory.

CFInitWeight - Interface in elki.clustering.kmeans.initialization.betula

Initialization weight function for k-means initialization with BETULA.

CFKPlusPlusLeaves - Class in elki.clustering.kmeans.initialization.betula

K-Means++-like initialization for BETULA k-means, treating the leaf clustering features as a flat list, and called "leaves" in the publication.

CFKPlusPlusLeaves(CFInitWeight, boolean, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves

Constructor.

CFKPlusPlusLeaves.Par - Class in elki.clustering.kmeans.initialization.betula

Parameterization class.

CFKPlusPlusTree - Class in elki.clustering.kmeans.initialization.betula

Initialize K-means by following tree paths weighted by their variance contribution.

CFKPlusPlusTree(CFInitWeight, boolean, int, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree

Constructor.

CFKPlusPlusTree.Par - Class in elki.clustering.kmeans.initialization.betula

Parameterization class.

CFKPlusPlusTrunk - Class in elki.clustering.kmeans.initialization.betula

Trunk strategy for initializing k-means with BETULA: only the nodes up to a particular level are considered for k-means++ style initialization.

CFKPlusPlusTrunk(CFInitWeight, boolean, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTrunk

Constructor.

CFKPlusPlusTrunk.Par - Class in elki.clustering.kmeans.initialization.betula

Parameterization class.

CFNode<L extends ClusterFeature> - Class in elki.index.tree.betula

Interface for TreeNode

CFNode(L, int) - Constructor for class elki.index.tree.betula.CFNode

Constructor

CFRandomlyChosen - Class in elki.clustering.kmeans.initialization.betula

Initialize K-means by randomly choosing k existing elements as initial cluster centers for Clustering Features.

CFRandomlyChosen(RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.betula.CFRandomlyChosen

Constructor.

CFRandomlyChosen.Par - Class in elki.clustering.kmeans.initialization.betula

Parameterization class.

cfs - Variable in class elki.index.tree.betula.CFDistanceMatrix

Cluster features

CFSFDP<O> - Class in elki.clustering

Clustering by fast search and find of density peaks (CFSFDP) is a density-based clustering method similar to mean-shift clustering.

CFSFDP<O> - Class in tutorial.clustering

Tutorial code for Clustering by fast search and find of density peaks.

CFSFDP(Distance<? super O>, double, int) - Constructor for class elki.clustering.CFSFDP

Constructor.

CFSFDP(Distance<? super O>, double, int) - Constructor for class tutorial.clustering.CFSFDP

Constructor.

CFSFDP.Par<O> - Class in elki.clustering

Parameterizer

CFSFDP.Par<O> - Class in tutorial.clustering

Class parameterizer.

CFTree - Class in elki.clustering.hierarchical.birch

Partial implementation of the CFTree as used by BIRCH.

CFTree<L extends ClusterFeature> - Class in elki.index.tree.betula

Partial implementation of the CFTree as used by BIRCH and BETULA.

CFTree(BIRCHDistance, BIRCHAbsorptionCriterion, double, int) - Constructor for class elki.clustering.hierarchical.birch.CFTree

Constructor.

CFTree(ClusterFeature.Factory<L>, CFDistance, CFDistance, double, int, CFTree.Threshold, int, boolean) - Constructor for class elki.index.tree.betula.CFTree

Constructor.

CFTree.Factory - Class in elki.clustering.hierarchical.birch

CF-Tree Factory.

CFTree.Factory<L extends ClusterFeature> - Class in elki.index.tree.betula

CF-Tree Factory.

CFTree.Factory.Par - Class in elki.clustering.hierarchical.birch

Parameterization class for CFTrees.

CFTree.Factory.Par<L extends ClusterFeature> - Class in elki.index.tree.betula

Parameterization class for CFTrees.

CFTree.LeafIterator - Class in elki.clustering.hierarchical.birch

Iterator over leaf nodes.

CFTree.LeafIterator<L extends ClusterFeature> - Class in elki.index.tree.betula

Iterator over leaf nodes.

CFTree.Threshold - Enum in elki.index.tree.betula

Threshold update strategy.

CFWeightedRandomlyChosen - Class in elki.clustering.kmeans.initialization.betula

Initialize K-means by randomly choosing k existing elements as initial cluster centers for Clustering Features.

CFWeightedRandomlyChosen(RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.betula.CFWeightedRandomlyChosen

Constructor.

CFWeightedRandomlyChosen.Par - Class in elki.clustering.kmeans.initialization.betula

Parameterization class.

chain - Variable in class elki.svm.qmatrix.CachedQMatrix

LRU: backward and forward chaining

chain - Variable in class elki.utilities.optionhandling.parameterization.ChainedParameterization

Keep the list of parameterizations.

ChainedParameterization - Class in elki.utilities.optionhandling.parameterization

Class that allows chaining multiple parameterizations.

ChainedParameterization(Parameterization...) - Constructor for class elki.utilities.optionhandling.parameterization.ChainedParameterization

Constructor that takes a number of Parameterizations to chain.

changed - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor

Whether the assignment changed during the last iteration.

changed - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor.Instance

Changed flag.

changed() - Method in class elki.clustering.kmeans.parallel.KMeansProcessor

Get the "has changed" value.

ChangePoint - Class in elki.timeseries

Single Change Point

ChangePoint(DBIDRef, int, double) - Constructor for class elki.timeseries.ChangePoint

Constructor.

changepoints - Variable in class elki.timeseries.ChangePoints

Change points.

ChangePoints - Class in elki.timeseries

Change point detection result Used by change or trend detection algorithms TODO: we need access to the data labels / timestamp information!

ChangePoints() - Constructor for class elki.timeseries.ChangePoints

Result constructor.

CHAR_ADAPTER - Static variable in class elki.utilities.datastructures.QuickSelect

Adapter for char arrays.

charset - Variable in class elki.utilities.io.ByteArrayUtil.StringSerializer

Character set to use.

charsSinceNewline - Variable in class elki.logging.OutputStreamLogger

Flag to signal if we have had a newline recently.

cheapOnly() - Method in class elki.database.query.QueryBuilder

Only perform the cheapest optimizations, used to indicate that the query will not be used much.

checkAliases(Class<?>, String, String[]) - Method in class elki.application.internal.CheckELKIServices

Check if aliases are listed completely.

checkAspectRatio - Variable in class elki.visualization.savedialog.SaveOptionsPanel

checkCandidate(double[]) - Method in class elki.math.geometry.FilteredConvexHull2D

checkCandidateUpdate(double[]) - Method in class elki.math.geometry.FilteredConvexHull2D

Check whether a point is inside the current bounds, and update the bounds

checkClusters(Relation<? extends NumberVector>, Object2ObjectMap<long[], List<ArrayModifiableDBIDs>>) - Method in class elki.clustering.subspace.DiSH

Removes the clusters with size < minpts from the cluster map and adds them to their parents.

checkConnectivity(Relation<NumberVector>, double[], DBIDRef, RegressionModel, double, ArrayDBIDs, SimilarityQuery<NumberVector>, double) - Method in class elki.clustering.svm.SupportVectorClustering

Checks if the connecting line between start and dest lies inside the kernel space sphere.

checkConvergence(Collection<AggarwalYuEvolutionary.Individuum>) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Check the termination criterion.

checkCoverTree(CoverTree.Node, int[], int) - Method in class elki.index.tree.metrical.covertree.CoverTree

Collect some statistics on the tree.

checkCoverTree(SimplifiedCoverTree.Node, int[], int) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree

Collect some statistics on the tree.

checkCSSStatement(String, String) - Static method in class elki.visualization.css.CSSClass

Validate a single CSS statement.

checkCSSStatements(Collection<Pair<String, String>>) - Static method in class elki.visualization.css.CSSClass

Validate a set of CSS statements.

checkDefaultConstructor(Class<?>, CheckParameterizables.State) - Method in class elki.application.internal.CheckParameterizables

Check for a default constructor.

checkDependencies() - Method in class elki.gui.multistep.panels.AlgorithmTabPanel

Test if the dependencies are still valid.

checkDependencies() - Method in class elki.gui.multistep.panels.EvaluationTabPanel

Test if the dependencies are still valid.

checkDependencies() - Method in class elki.gui.multistep.panels.OutputTabPanel

Test if the dependencies are still valid.

checkDimensions(CLIQUEUnit, int) - Method in class elki.clustering.subspace.clique.CLIQUEUnit

Check that the first e dimensions agree.

checkDistance(SpatialPrimitiveDistance<? super O>) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Throws an IllegalArgumentException if the specified distance function is not an instance of the distance function used by this index.

checked - Variable in class elki.visualization.svg.SVGCheckbox

Status flag

CheckELKIServices - Class in elki.application.internal

Helper application to test the ELKI service properties files for missing implementation entries, for listing available implementations in the UIs.

CheckELKIServices() - Constructor for class elki.application.internal.CheckELKIServices

checkForNaNs(NumberVector) - Method in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores

Check for NaN values.

checkGridCellSizes(int, long) - Method in class elki.clustering.dbscan.GriDBSCAN.Instance

Perform some sanity checks on the grid cells.

checkHeap() - Method in class elki.utilities.datastructures.heap.Heap

Test whether the heap is still valid.

checkLower(Subspace, List<Subspace>) - Method in class elki.clustering.subspace.SUBCLU

Perform Apriori-style pruning.

checkMonotone() - Method in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder

Check if merge distances are monotone.

checkName(String) - Static method in class elki.visualization.css.CSSClass

Verify that the name is an admissible CSS class name.

checkNeighbors(List<IntegerArray>, long[], IntegerArray) - Method in class elki.math.geometry.AlphaShape

checkParameterizables() - Method in class elki.application.internal.CheckParameterizables

Validate all "Parameterizable" objects for parts of the API contract that cannot be specified in Java interfaces (such as constructors, static methods)

CheckParameterizables - Class in elki.application.internal

Perform some consistency checks on classes that cannot be specified as Java interface.

CheckParameterizables() - Constructor for class elki.application.internal.CheckParameterizables

CheckParameterizables.State - Enum in elki.application.internal

Current verification state.

checkParameterizer(Class<?>, Class<? extends Parameterizer>) - Method in class elki.application.internal.CheckParameterizables

checkRange(DBIDRange) - Method in interface elki.distance.DBIDRangeDistance

Validate the range of DBIDs to use.

checkRange(DBIDRange) - Method in class elki.distance.external.DiskCacheBasedDoubleDistance

checkRange(DBIDRange) - Method in class elki.distance.external.DiskCacheBasedFloatDistance

checkRange(DBIDRange) - Method in class elki.distance.external.FileBasedSparseDoubleDistance

checkRange(DBIDRange) - Method in class elki.distance.external.FileBasedSparseFloatDistance

checkSamples(UncertainObject, UncertainObject) - Method in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Instance

checkSelected(int[], double[], double, double, double, double) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance

checkService(String, String) - Method in class elki.application.internal.CheckELKIServices

Check a single service class

checkServices(String) - Method in class elki.application.internal.CheckELKIServices

Retrieve all properties and check them.

checkStoppingCondition(KDTreeEM.KDTree, int[]) - Method in class elki.clustering.em.KDTreeEM

This methods checks the different stopping conditions given in the paper, thus calculating the Dimensions, that will be considered for child-trees.

checkSupertypes(Class<?>) - Method in class elki.application.internal.CheckParameterizables

Check all supertypes of a class.

checkV3Parameterization(Class<?>, CheckParameterizables.State) - Method in class elki.application.internal.CheckParameterizables

Check for a V3 constructor.

ChengAndChurch - Class in elki.clustering.biclustering

Cheng and Church biclustering.

ChengAndChurch(double, double, int, Distribution, RandomFactory) - Constructor for class elki.clustering.biclustering.ChengAndChurch

Constructor.

ChengAndChurch.BiclusterCandidate - Class in elki.clustering.biclustering

Bicluster candidate.

ChengAndChurch.CellVisitor - Interface in elki.clustering.biclustering

Visitor pattern for processing cells.

ChiDistance - Class in elki.distance.probabilistic

χ distance function, symmetric version.

ChiDistance() - Constructor for class elki.distance.probabilistic.ChiDistance

Deprecated.

Use static instance!

ChiDistance.Par - Class in elki.distance.probabilistic

Parameterization class, using the static instance.

ChiDistribution - Class in elki.math.statistics.distribution

Chi distribution.

ChiDistribution(double) - Constructor for class elki.math.statistics.distribution.ChiDistribution

Constructor.

ChiDistribution.Par - Class in elki.math.statistics.distribution

Parameterization class

child - Variable in class elki.gui.configurator.ClassListParameterConfigurator

Configurator for children

child - Variable in class elki.gui.configurator.ClassParameterConfigurator

Configuration panel for child.

child - Variable in class elki.visualization.batikutil.NodeAppendChild

The child to be appended.

childconfig - Variable in class elki.gui.configurator.ConfiguratorPanel

Keep a map of parameter

childiter - Variable in class elki.result.Metadata.Hierarchy.ItrDesc

Iterator over children

childiter - Variable in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrDesc

Iterator over children

childnr - Variable in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher

Candidate within node

childnr - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher

Candidate within node

children - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

(Finished) child clusters

children - Variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster

(Finished) child clusters

children - Variable in class elki.gui.configurator.ConfiguratorPanel

Child options

children - Variable in class elki.index.tree.betula.CFNode

Children of the TreeNode

children - Variable in class elki.index.tree.metrical.covertree.CoverTree.Node

Child nodes.

children - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.Node

Child nodes.

children - Variable in class elki.index.tree.metrical.vptree.GNAT.Node

child trees; children[i] corresponds to vps.iter.seek[i]

children - Variable in class elki.itemsetmining.FPGrowth.FPNode

Children.

children - Variable in class elki.outlier.density.HySortOD.TreeStrategy.Node

Childs of the node.

children - Variable in class elki.outlier.lof.ALOCI.Node

Child nodes, may be null

children - Variable in class elki.projection.BarnesHutTSNE.QuadTree

Child nodes.

children - Variable in class elki.result.Metadata.Hierarchy

Children.

children - Variable in class elki.utilities.optionhandling.parameterization.TrackParameters

Tree information: child links

children - Variable in class elki.visualization.parallel3d.layout.AbstractLayout3DPC.AbstractNode

Children

children(IndexTreePath<E>) - Method in class elki.index.tree.AbstractNode

children(IndexTreePath<E>) - Method in interface elki.index.tree.Node

Returns an enumeration of the children paths of this node.

childrenTotal - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Number of objects in children.

chisq - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Chi-Squared information for parameters

chisq - Variable in class elki.math.statistics.distribution.ChiDistribution

Chi squared distribution (for random generation)

CHISQUARED - elki.outlier.COP.DistanceDist

Use chi^2 for score normalization.

ChiSquaredDistance - Class in elki.distance.probabilistic

χ² distance function, symmetric version.

ChiSquaredDistance() - Constructor for class elki.distance.probabilistic.ChiSquaredDistance

Deprecated.

Use static instance!

ChiSquaredDistance.Par - Class in elki.distance.probabilistic

Parameterization class, using the static instance.

ChiSquaredDistribution - Class in elki.math.statistics.distribution

Chi-Squared distribution (a specialization of the Gamma distribution).

ChiSquaredDistribution(double) - Constructor for class elki.math.statistics.distribution.ChiSquaredDistribution

Constructor.

ChiSquaredDistribution.Par - Class in elki.math.statistics.distribution

Parameterization class

chisquaredProbitApproximation(double, double, double) - Static method in class elki.math.statistics.distribution.GammaDistribution

Approximate probit for chi squared distribution

chiSquaredUniformTest(SetDBIDs[], long[], int) - Method in class elki.clustering.subspace.P3C

Performs a ChiSquared test to determine whether an attribute has a uniform distribution.

chol - Variable in class elki.clustering.em.models.MultivariateGaussianModel

Decomposition of covariance matrix.

chol - Variable in class elki.clustering.em.models.TextbookMultivariateGaussianModel

Decomposition of covariance matrix.

chol - Variable in class elki.clustering.em.models.TwoPassMultivariateGaussianModel

Decomposition of covariance matrix.

CholeskyDecomposition - Class in elki.math.linearalgebra

Cholesky Decomposition.

CholeskyDecomposition(double[][]) - Constructor for class elki.math.linearalgebra.CholeskyDecomposition

Cholesky algorithm for symmetric and positive definite matrix.

choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy

choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy

choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in interface elki.index.tree.spatial.rstarvariants.strategies.insert.InsertionStrategy

Choose insertion rectangle.

choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy

choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy

choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy

chooseBulkSplitPoint(int, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.AbstractBulkSplit

Computes and returns the best split point.

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.AFKMC2

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.FarthestPoints

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.FarthestSumPoints

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.FirstK

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.KMC2

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in interface elki.clustering.kmeans.initialization.KMeansInitialization

Choose initial means

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.Ostrovsky

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.Predefined

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.RandomlyChosen

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.RandomNormalGenerated

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.RandomUniformGenerated

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.SampleKMeans

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.SphericalAFKMC2

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmedoids.initialization.BUILD

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmedoids.initialization.LAB

chooseInitialMeans(Relation<? extends NumberVector>, int, NumberVectorDistance<?>) - Method in class elki.clustering.kmedoids.initialization.ParkJun

chooseInitialMeans(CFTree<?>, List<? extends ClusterFeature>, int) - Method in class elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization

Build the initial models.

chooseInitialMeans(CFTree<?>, List<? extends ClusterFeature>, int) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves

chooseInitialMeans(CFTree<?>, List<? extends ClusterFeature>, int) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree

chooseInitialMeans(CFTree<?>, List<? extends ClusterFeature>, int) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTrunk

chooseInitialMeans(CFTree<?>, List<? extends ClusterFeature>, int) - Method in class elki.clustering.kmeans.initialization.betula.CFRandomlyChosen

chooseInitialMeans(CFTree<?>, List<? extends ClusterFeature>, int) - Method in class elki.clustering.kmeans.initialization.betula.CFWeightedRandomlyChosen

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmeans.initialization.FarthestPoints

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmeans.initialization.FarthestSumPoints

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmeans.initialization.FirstK

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmeans.initialization.RandomlyChosen

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.initialization.AlternateRefinement

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.initialization.BUILD

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.initialization.GreedyG

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in interface elki.clustering.kmedoids.initialization.KMedoidsInitialization

Choose initial means

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.initialization.KMedoidsKMedoidsInitialization

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.initialization.LAB

chooseInitialMedoids(int, DBIDs, DistanceQuery<? super O>) - Method in class elki.clustering.kmedoids.initialization.ParkJun

chooseMaximalExtendedSplitAxis(List<? extends SpatialComparable>) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit

Computes and returns the best split axis.

chooseNextNode(CFNode<?>, List<? extends ClusterFeature>, Random) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree

Choose a child of the current node.

choosePath(IndexTreePath<E>, SpatialComparable, int, int) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Chooses the best path of the specified subtree for insertion of the given mbr at the specified level.

choosePath(AbstractMTree<?, N, E, ?>, E) - Method in class elki.index.tree.metrical.mtreevariants.strategies.insert.MinimumEnlargementInsert

choosePath(AbstractMTree<?, N, E, ?>, E) - Method in interface elki.index.tree.metrical.mtreevariants.strategies.insert.MTreeInsert

Choose the subpath to insert into.

choosePath(AbstractMTree<?, N, E, ?>, E, IndexTreePath<E>) - Method in class elki.index.tree.metrical.mtreevariants.strategies.insert.MinimumEnlargementInsert

Chooses the best path of the specified subtree for insertion of the given object.

choosePrime(Random) - Static method in class elki.math.statistics.distribution.HaltonUniformDistribution

Choose a random prime.

chooseRemaining(int, ArrayModifiableDBIDs, double) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus.MedoidsInstance

Choose remaining means, weighted by distance.

chooseRemaining(int, List<NumberVector>, double) - Method in class elki.clustering.kmeans.initialization.KMC2.Instance

Choose remaining means, weighted by distance.

chooseRemaining(int, List<NumberVector>, double) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus.NumberVectorInstance

Choose remaining means, weighted by distance.

chooseRemaining(int, List<NumberVector>, double) - Method in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Instance

Choose remaining means, weighted by distance.

chooseSplitAxis(int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split

Chooses a split axis.

chooseSplitPoint(int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split

Chooses a split axis.

chooseVantagePoint(int, int) - Method in class elki.index.tree.metrical.vptree.VPTree.Builder

Find a vantage points in the DBIDs between left and right

chosenRefP - Variable in class elki.index.laesa.LAESA

fast lookup

CIndex<O> - Class in elki.evaluation.clustering.internal

Compute the C-index of a data set.

CIndex(Distance<? super O>, NoiseHandling) - Constructor for class elki.evaluation.clustering.internal.CIndex

Constructor.

CIndex.Par<O> - Class in elki.evaluation.clustering.internal

Parameterization class.

CircleMarkers - Class in elki.visualization.style.marker

Simple marker library that just draws colored circles at the given coordinates.

CircleMarkers(StyleLibrary) - Constructor for class elki.visualization.style.marker.CircleMarkers

Constructor

CircleSegmentsVisualizer - Class in elki.visualization.visualizers.pairsegments

Visualizer to draw circle segments of clusterings and enable interactive selection of segments.

CircleSegmentsVisualizer() - Constructor for class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer

Constructor

CircleSegmentsVisualizer.Instance - Class in elki.visualization.visualizers.pairsegments

Instance

CircleSegmentsVisualizer.Instance.SegmentListenerProxy - Class in elki.visualization.visualizers.pairsegments

Proxy element to connect signals.

CKMeans - Class in elki.clustering.uncertain

Run k-means on the centers of each uncertain object.

CKMeans(KMeans<?, KMeansModel>) - Constructor for class elki.clustering.uncertain.CKMeans

Constructor that uses an arbitrary k-means algorithm.

CKMeans(NumberVectorDistance<? super NumberVector>, int, int, KMeansInitialization) - Constructor for class elki.clustering.uncertain.CKMeans

Constructor that uses Lloyd's k-means algorithm.

CKMeans.Par - Class in elki.clustering.uncertain

Parameterization class, based on k-means.

clamp(double, double, double) - Static method in class elki.math.MathUtil

Clamp values to a given minimum and maximum.

CLARA<V> - Class in elki.clustering.kmedoids

Clustering Large Applications (CLARA) is a clustering method for large data sets based on PAM, partitioning around medoids (PAM) based on sampling.

CLARA(Distance<? super V>, int, int, KMedoidsInitialization<V>, int, double, boolean, RandomFactory) - Constructor for class elki.clustering.kmedoids.CLARA

Constructor.

CLARA.CachedDistanceQuery<V> - Class in elki.clustering.kmedoids

Cached distance query.

CLARA.Par<V> - Class in elki.clustering.kmedoids

Parameterization class.

CLARANS<O> - Class in elki.clustering.kmedoids

CLARANS: a method for clustering objects for spatial data mining is inspired by PAM (partitioning around medoids, PAM) and CLARA and also based on sampling.

CLARANS(Distance<? super O>, int, int, double, RandomFactory) - Constructor for class elki.clustering.kmedoids.CLARANS

Constructor.

CLARANS.Assignment - Class in elki.clustering.kmedoids

Assignment state.

CLARANS.Par<V> - Class in elki.clustering.kmedoids

Parameterization class.

ClarkDistance - Class in elki.distance

Clark distance function for vector spaces.

ClarkDistance() - Constructor for class elki.distance.ClarkDistance

Deprecated.

Use ClarkDistance.STATIC instance instead.

ClarkDistance.Par - Class in elki.distance

Parameterization class.

CLARKE1858_FLATTENING - Static variable in class elki.math.geodesy.Clarke1858SpheroidEarthModel

Flattening f of the CLARKE1858 Ellipsoid.

CLARKE1858_INV_FLATTENING - Static variable in class elki.math.geodesy.Clarke1858SpheroidEarthModel

Inverse flattening 1/f of the CLARKE1858 Ellipsoid.

CLARKE1858_RADIUS - Static variable in class elki.math.geodesy.Clarke1858SpheroidEarthModel

Radius of the CLARKE1858 Ellipsoid in m (a).

Clarke1858SpheroidEarthModel - Class in elki.math.geodesy

The Clarke 1858 spheroid earth model.

Clarke1858SpheroidEarthModel() - Constructor for class elki.math.geodesy.Clarke1858SpheroidEarthModel

Constructor.

Clarke1858SpheroidEarthModel.Par - Class in elki.math.geodesy

Parameterization class.

CLARKE1880_FLATTENING - Static variable in class elki.math.geodesy.Clarke1880SpheroidEarthModel

Flattening f of the CLARKE1880 Ellipsoid.

CLARKE1880_INV_FLATTENING - Static variable in class elki.math.geodesy.Clarke1880SpheroidEarthModel

Inverse flattening 1/f of the CLARKE1880 Ellipsoid.

CLARKE1880_RADIUS - Static variable in class elki.math.geodesy.Clarke1880SpheroidEarthModel

Radius of the CLARKE1880 Ellipsoid in m (a).

Clarke1880SpheroidEarthModel - Class in elki.math.geodesy

The Clarke 1880 spheroid earth model.

Clarke1880SpheroidEarthModel() - Constructor for class elki.math.geodesy.Clarke1880SpheroidEarthModel

Constructor.

Clarke1880SpheroidEarthModel.Par - Class in elki.math.geodesy

Parameterization class.

CLASS_EXT - Static variable in class elki.utilities.ELKIServiceScanner.DirClassIterator

CLASS_EXT_LENGTH - Static variable in class elki.utilities.ELKIServiceScanner.DirClassIterator

CLASS_LABEL_CLASS_ID - Static variable in class elki.datasource.filter.typeconversions.ClassLabelFilter.Par

Parameter to specify the class of occurring class labels.

CLASS_LABEL_INDEX_ID - Static variable in class elki.datasource.filter.typeconversions.ClassLabelFilter.Par

Optional parameter that specifies the index of the label to be used as class label, must be an integer equal to or greater than 0.

ClassGenericsUtil - Class in elki.utilities

Utilities for handling class instantiation, especially with respect to Java generics.

ClassGenericsUtil() - Constructor for class elki.utilities.ClassGenericsUtil

Fake Constructor.

ClassicMultidimensionalScalingTransform<I,O extends NumberVector> - Class in elki.datasource.filter.transform

Rescale the data set using multidimensional scaling, MDS.

ClassicMultidimensionalScalingTransform(int, PrimitiveDistance<? super I>, NumberVector.Factory<O>) - Constructor for class elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform

Constructor.

ClassificationModel - Class in elki.svm.model

ClassificationModel() - Constructor for class elki.svm.model.ClassificationModel

Classifier<O> - Interface in elki.classification

A Classifier is to hold a model that is built based on a database, and to classify a new instance of the same type.

ClassifierHoldoutEvaluationTask<O> - Class in elki.application

Evaluate a classifier.

ClassifierHoldoutEvaluationTask(DatabaseConnection, Collection<? extends IndexFactory<?>>, Classifier<O>, Holdout) - Constructor for class elki.application.ClassifierHoldoutEvaluationTask

Constructor.

ClassifierHoldoutEvaluationTask.Par<O> - Class in elki.application

Parameterization class.

classify(Object) - Method in class elki.classification.PriorProbabilityClassifier

classify(O) - Method in interface elki.classification.Classifier

Classify a single instance.

classify(O) - Method in class elki.classification.KNNClassifier

ClassInstantiationException - Exception in elki.utilities.exceptions

Error thrown when a class cannot be instantiated.

ClassInstantiationException() - Constructor for exception elki.utilities.exceptions.ClassInstantiationException

Constructor.

ClassInstantiationException(String) - Constructor for exception elki.utilities.exceptions.ClassInstantiationException

Constructor.

ClassInstantiationException(String, Throwable) - Constructor for exception elki.utilities.exceptions.ClassInstantiationException

Constructor.

ClassInstantiationException(Throwable) - Constructor for exception elki.utilities.exceptions.ClassInstantiationException

Constructor.

ClassLabel - Class in elki.data

A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

ClassLabel() - Constructor for class elki.data.ClassLabel

ClassLabels need an empty constructor for dynamic access.

CLASSLABEL - Static variable in class elki.data.type.TypeUtil

A class label.

ClassLabel.Factory<L extends ClassLabel> - Class in elki.data

Class label factory.

classLabelFactory - Variable in class elki.datasource.filter.typeconversions.ClassLabelFilter

The class label class to use.

classLabelFactory - Variable in class elki.datasource.filter.typeconversions.ClassLabelFilter.Par

The class label factory to use.

ClassLabelFilter - Class in elki.datasource.filter.typeconversions

Class that turns a label column into a class label column.

ClassLabelFilter(int, ClassLabel.Factory<?>) - Constructor for class elki.datasource.filter.typeconversions.ClassLabelFilter

Constructor.

ClassLabelFilter.Par - Class in elki.datasource.filter.typeconversions

Parameterization class.

ClassLabelFromPatternFilter - Class in elki.datasource.filter.typeconversions

Streaming filter to derive an outlier class label.

ClassLabelFromPatternFilter(Pattern, SimpleClassLabel, SimpleClassLabel) - Constructor for class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter

Constructor.

ClassLabelFromPatternFilter(Pattern, String, String) - Constructor for class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter

Constructor.

ClassLabelFromPatternFilter.Par - Class in elki.datasource.filter.typeconversions

Parameterization class.

classLabelIndex - Variable in class elki.datasource.filter.typeconversions.ClassLabelFilter

The index of the label to be used as class label, null if no class label is specified.

classLabelIndex - Variable in class elki.datasource.filter.typeconversions.ClassLabelFilter.Par

The index of the label to be used as class label, null if no class label is specified.

classListEditor - Variable in class elki.gui.util.ParameterTable.AdjustingEditor

The class list editor

ClassListEditor() - Constructor for class elki.gui.util.ParameterTable.ClassListEditor

Constructor.

ClassListParameter<C> - Class in elki.utilities.optionhandling.parameters

Parameter class for a parameter specifying a list of class names.

ClassListParameter(OptionID, Class<?>) - Constructor for class elki.utilities.optionhandling.parameters.ClassListParameter

Constructs a class list parameter with the given optionID and restriction class.

ClassListParameterConfigurator - Class in elki.gui.configurator

Provide a configuration panel to choose classes with the help of a dropdown.

ClassListParameterConfigurator(ClassListParameter<?>, JComponent) - Constructor for class elki.gui.configurator.ClassListParameterConfigurator

Constructor.

CLASSLOADER - Static variable in class elki.utilities.ClassGenericsUtil

Class loader.

CLASSLOADER - Static variable in class elki.utilities.ELKIServiceRegistry

Class loader

CLASSLOADER - Static variable in class elki.utilities.ELKIServiceScanner

Class loader

ClassNode(String, String) - Constructor for class elki.gui.util.ClassTree.ClassNode

Current class name.

classnum(int) - Method in class elki.svm.data.ByteWeightedArrayDataSet

classnum(int) - Method in interface elki.svm.data.DataSet

Get the class number of the ith element.

classnum(int) - Method in class elki.svm.data.DoubleWeightedDataSet

classnum(int) - Method in class elki.svm.data.SimilarityQueryAdapter

ClassParameter<C> - Class in elki.utilities.optionhandling.parameters

Parameter class for a parameter specifying a class name.

ClassParameter(OptionID, Class<?>) - Constructor for class elki.utilities.optionhandling.parameters.ClassParameter

Constructs a class parameter with the given optionID, and restriction class.

ClassParameter(OptionID, Class<?>, Class<?>) - Constructor for class elki.utilities.optionhandling.parameters.ClassParameter

Constructs a class parameter with the given optionID, restriction class, and default value.

ClassParameterConfigurator - Class in elki.gui.configurator

Provide a configuration panel to choose a class with the help of a dropdown.

ClassParameterConfigurator(ClassParameter<?>, JComponent) - Constructor for class elki.gui.configurator.ClassParameterConfigurator

Constructor.

classPriority(Class<?>) - Static method in class elki.utilities.ELKIServiceScanner

Get the priority of a class, or its outer class.

classProbabilities(Object, ArrayList<ClassLabel>) - Method in class elki.classification.PriorProbabilityClassifier

classProbabilities(O, ArrayList<ClassLabel>) - Method in class elki.classification.KNNClassifier

classSize(int) - Method in interface elki.visualization.style.ClassStylingPolicy

Get the number of elements in the styling class.

classSize(int) - Method in class elki.visualization.style.ClusterStylingPolicy

classSize(int) - Method in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

ClassStylingPolicy - Interface in elki.visualization.style

Styling policy that is based on classes, for example clusters or labels.

ClassTree - Class in elki.gui.util

Build a tree of available classes for use in Swing UIs.

ClassTree() - Constructor for class elki.gui.util.ClassTree

Private constructor.

ClassTree.ClassNode - Class in elki.gui.util

Tree node representing a single class.

ClassTree.PackageNode - Class in elki.gui.util

Tree node representing a single class.

clazz - Variable in class elki.utilities.ELKIBuilder

Class to build.

clazzes - Variable in class elki.utilities.ELKIServiceRegistry.Entry

Loaded classes.

CLEANER - Static variable in class elki.result.Metadata

Cleanup thread.

CleanerThread() - Constructor for class elki.result.Metadata.CleanerThread

cleanup() - Method in class elki.datasource.parser.AbstractStreamingParser

cleanup() - Method in class elki.datasource.parser.ArffParser

cleanup() - Method in class elki.datasource.parser.NumberVectorLabelParser

cleanup() - Method in interface elki.datasource.parser.Parser

Perform cleanup operations after parsing.

cleanup() - Method in class elki.datasource.parser.SimpleTransactionParser

cleanup() - Method in class elki.datasource.parser.StringParser

cleanup() - Method in class elki.result.Metadata

Cleanup function to help garbage collection.

cleanup() - Method in class elki.utilities.io.Tokenizer

Perform cleanup.

cleanup(Processor.Instance) - Method in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance

cleanup(Processor.Instance) - Method in class elki.clustering.kmeans.parallel.KMeansProcessor

cleanup(Processor.Instance) - Method in class elki.parallel.processor.AbstractDoubleProcessor

cleanup(Processor.Instance) - Method in class elki.parallel.processor.DoubleMinMaxProcessor

cleanup(Processor.Instance) - Method in class elki.parallel.processor.KNNProcessor

cleanup(Processor.Instance) - Method in interface elki.parallel.processor.Processor

Invoke cleanup.

cleanup(Processor.Instance) - Method in class elki.parallel.processor.WriteDataStoreProcessor

cleanup(Processor.Instance) - Method in class elki.parallel.processor.WriteDoubleDataStoreProcessor

cleanup(Processor.Instance) - Method in class elki.parallel.processor.WriteIntegerDataStoreProcessor

clear() - Method in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery

Clear the distance cache.

clear() - Method in class elki.database.datastore.memory.ArrayDBIDStore

clear() - Method in class elki.database.datastore.memory.ArrayDoubleStore

clear() - Method in class elki.database.datastore.memory.ArrayIntegerStore

clear() - Method in class elki.database.datastore.memory.ArrayRecordStore.StorageAccessor

clear() - Method in class elki.database.datastore.memory.ArrayStore

clear() - Method in class elki.database.datastore.memory.MapIntegerDBIDDBIDStore

clear() - Method in class elki.database.datastore.memory.MapIntegerDBIDDoubleStore

clear() - Method in class elki.database.datastore.memory.MapIntegerDBIDIntegerStore

clear() - Method in class elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor

clear() - Method in class elki.database.datastore.memory.MapIntegerDBIDStore

clear() - Method in class elki.database.datastore.memory.MapRecordStore.StorageAccessor

clear() - Method in class elki.database.datastore.memory.MapStore

clear() - Method in interface elki.database.datastore.WritableDataStore

Clear the storage (resetting it to the default value).

clear() - Method in interface elki.database.ids.ArrayModifiableDBIDs

clear() - Method in interface elki.database.ids.DoubleDBIDHeap

Clear the heap.

clear() - Method in interface elki.database.ids.HashSetModifiableDBIDs

clear() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs

clear() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList

clear() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap

clear() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap

clear() - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs

clear() - Method in interface elki.database.ids.ModifiableDBIDs

Clear this collection.

clear() - Method in interface elki.database.ids.ModifiableDoubleDBIDList

Clear the list contents.

clear() - Method in class elki.gui.configurator.ConfiguratorPanel

clear() - Method in class elki.gui.util.LogPane

Clear the current contents.

clear() - Method in class elki.gui.util.LogPanel

Clear the current contents.

clear() - Method in class elki.gui.util.SavedSettingsFile

Remove all saved settings.

clear() - Method in class elki.persistent.LRUCache

Clears this cache.

clear() - Method in class elki.persistent.MemoryPageFile

clear() - Method in class elki.persistent.OnDiskArrayPageFile

Clears this PageFile.

clear() - Method in interface elki.persistent.PageFile

Clears this PageFile.

clear() - Method in class elki.persistent.PersistentPageFile

Clears this PageFile.

clear() - Method in class elki.svm.data.ByteWeightedArrayDataSet

clear() - Method in class elki.svm.data.DoubleWeightedDataSet

clear() - Method in class elki.utilities.datastructures.arraylike.DoubleArray

Reset the numeric attribute counter.

clear() - Method in class elki.utilities.datastructures.arraylike.IntegerArray

Reset the numeric attribute counter.

clear() - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap

clear() - Method in class elki.utilities.datastructures.heap.ComparableMinHeap

clear() - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap

clear() - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap

clear() - Method in interface elki.utilities.datastructures.heap.DoubleHeap

Delete all elements from the heap.

clear() - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap

Clear the heap contents.

clear() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

clear() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap

clear() - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap

Clear the heap contents.

clear() - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap

clear() - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap

clear() - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap

clear() - Method in class elki.utilities.datastructures.heap.DoubleMinHeap

clear() - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap

Clear the heap contents.

clear() - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap

clear() - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap

clear() - Method in class elki.utilities.datastructures.heap.Heap

Clear the heap.

clear() - Method in interface elki.utilities.datastructures.heap.IntegerHeap

Delete all elements from the heap.

clear() - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap

clear() - Method in class elki.utilities.datastructures.heap.IntegerMinHeap

clear() - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap

Clear the heap contents.

clear() - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap

clear() - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap

clear() - Method in interface elki.utilities.datastructures.heap.ObjectHeap

Delete all elements from the heap.

clear() - Method in class elki.utilities.datastructures.heap.UpdatableHeap

clear() - Method in class elki.visualization.gui.overview.LayerMap

Clear a map

clear() - Method in class elki.visualization.svg.UpdateRunner

Clear queue.

clear(double[]) - Static method in class elki.math.linearalgebra.VMath

Reset the vector to 0.

clear(double[][]) - Static method in class elki.math.linearalgebra.VMath

Reset the matrix to 0.

clearAll(DBIDs, WritableDataStore<HashSetModifiableDBIDs>) - Method in class elki.index.preprocessed.knn.NNDescent

Clear (but reuse) all sets in the given storage.

clearC(long, int) - Static method in class elki.utilities.datastructures.BitsUtil

Clear bit number "off" in v.

clearErrors() - Method in class elki.utilities.optionhandling.parameterization.AbstractParameterization

Clear errors.

clearI(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil

Clear bit number "off" in v.

clickisout - Variable in class elki.visualization.batikutil.CSSHoverClass

Consider a click as 'out'?

CLINK<O> - Class in elki.clustering.hierarchical

CLINK algorithm for complete linkage.

CLINK(Distance<? super O>) - Constructor for class elki.clustering.hierarchical.CLINK

Constructor.

CLINK.Par<O> - Class in elki.clustering.hierarchical

Parameterization class.

clinkstep3(DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.CLINK

Third step: Determine the values for P and L

clinkstep4567(DBIDRef, ArrayDBIDs, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.CLINK

Fourth to seventh step of CLINK: find best insertion

clinkstep8(DBIDRef, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.CLINK

Update hierarchy.

clipDraw(SVGPath, XYCurve, double, double, double, double, LinearScale, LinearScale, double, double) - Method in class elki.visualization.visualizers.visunproj.XYCurveVisualization

Clipped drawing function for an edge.

clipmax - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster

Clipping vectors.

clipmin - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster

Clipping vectors.

ClipScaling - Class in elki.utilities.scaling

Scale implementing a simple clipping.

ClipScaling(Double, Double) - Constructor for class elki.utilities.scaling.ClipScaling

Constructor.

ClipScaling.Par - Class in elki.utilities.scaling

Parameterization class.

clipToMargin(double[], double[]) - Method in class elki.visualization.projections.CanvasSize

Clip a line on the margin (modifies arrays!)

CLIQUE - Class in elki.clustering.subspace

Implementation of the CLIQUE algorithm, a grid-based algorithm to identify dense clusters in subspaces of maximum dimensionality.

CLIQUE(int, double, boolean) - Constructor for class elki.clustering.subspace.CLIQUE

Constructor.

CLIQUE.Par - Class in elki.clustering.subspace

Parameterization class.

CLIQUESubspace - Class in elki.clustering.subspace.clique

Represents a subspace of the original data space in the CLIQUE algorithm.

CLIQUESubspace(int) - Constructor for class elki.clustering.subspace.clique.CLIQUESubspace

Creates a new one-dimensional subspace of the original data space.

CLIQUESubspace(long[]) - Constructor for class elki.clustering.subspace.clique.CLIQUESubspace

Creates a new k-dimensional subspace of the original data space.

CLIQUEUnit - Class in elki.clustering.subspace.clique

Represents a unit in the CLIQUE algorithm.

CLIQUEUnit(int, double, double) - Constructor for class elki.clustering.subspace.clique.CLIQUEUnit

Creates a new one-dimensional unit for the given interval.

CLIQUEUnit(CLIQUEUnit, int, double, double, ModifiableDBIDs) - Constructor for class elki.clustering.subspace.clique.CLIQUEUnit

Creates a new k-dimensional unit for the given intervals.

CLISmartHandler - Class in elki.logging

Handler that handles output to the console with clever formatting.

CLISmartHandler() - Constructor for class elki.logging.CLISmartHandler

Default constructor using System.out and System.err

CLISmartHandler(OutputStream, OutputStream) - Constructor for class elki.logging.CLISmartHandler

Constructor

clone(TextbookMultivariateGaussianModel) - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel

Copy the parameters of another model.

cloneBits() - Method in class elki.data.BitVector

Returns a copy of the bits currently set in this BitVector.

cloneDocument() - Method in class elki.visualization.svg.SVGPlot

Clone the SVGPlot document for transcoding.

cloneDocument(DOMImplementation, Document) - Method in class elki.utilities.xml.DOMCloner

Deep-clone a document.

cloneForCache(T) - Method in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram

Clone a data passed to the algorithm for computing the initial size.

CloneInlineImages - Class in elki.visualization.batikutil

Clone an SVG document, inlining temporary and in-memory linked images.

CloneInlineImages() - Constructor for class elki.visualization.batikutil.CloneInlineImages

cloneNode(Document, Node) - Method in class elki.utilities.xml.DOMCloner

Clone an existing node.

cloneNode(Document, Node) - Method in class elki.visualization.batikutil.CloneInlineImages

cloneNode(Document, Node) - Method in class elki.visualization.svg.SVGCloneVisible

close() - Method in class elki.datasource.InputStreamDatabaseConnection

close() - Method in class elki.gui.util.LogPane.LogPaneHandler

close() - Method in class elki.gui.util.LogPanel.LogPanelHandler

close() - Method in class elki.logging.CLISmartHandler

Close output streams.

close() - Method in class elki.logging.OutputStreamLogger

Close command - will be IGNORED.

close() - Method in class elki.persistent.AbstractPageFile

close() - Method in class elki.persistent.LRUCache

close() - Method in class elki.persistent.OnDiskArray

Explicitly close the file.

close() - Method in class elki.persistent.OnDiskArrayPageFile

Closes this file.

close() - Method in class elki.persistent.OnDiskUpperTriangleMatrix

Close the matrix file.

close() - Method in interface elki.persistent.PageFile

Closes this file.

close() - Method in class elki.persistent.PersistentPageFile

Closes this file.

close() - Method in class elki.result.textwriter.MultipleFilesOutput

close() - Method in class elki.result.textwriter.SingleStreamOutput

close() - Method in interface elki.result.textwriter.StreamFactory

Close stream factory.

close() - Method in class elki.utilities.io.BufferedLineReader

close() - Method in class elki.utilities.io.LineReader

close() - Method in class elki.utilities.io.TokenizedReader

close() - Method in class elki.visualization.gui.ResultWindow

Close the visualizer window.

close() - Method in class elki.visualization.gui.SimpleSVGViewer

Close the visualizer window.

close() - Method in class elki.visualization.svg.SVGPath

Close the path.

closeButton - Variable in class elki.visualization.gui.SelectionTableWindow

Button to close the window

CloseReinsert - Class in elki.index.tree.spatial.rstarvariants.strategies.reinsert

Reinsert objects on page overflow, starting with close objects first (even when they will likely be inserted into the same page again!)

CloseReinsert(double, SpatialPrimitiveDistance<?>) - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.reinsert.CloseReinsert

Constructor.

CloseReinsert.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.reinsert

Parameterization class.

closeStream(PrintStream) - Method in class elki.result.textwriter.MultipleFilesOutput

closeStream(PrintStream) - Method in class elki.result.textwriter.SingleStreamOutput

closeStream(PrintStream) - Method in interface elki.result.textwriter.StreamFactory

Close the given output stream (Note: when writing to a single stream output, it will actually not be closed!)

CLR_BORDER_CLASS - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

CSS border class of a cluster

CLR_CLUSTER_CLASS_PREFIX - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

CSS class name for the clusterings.

CLR_HOVER_CLASS - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

CSS hover class of a segment cluster

CLR_UNPAIRED_CLASS - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

CSS hover class for clusters of hovered segment

cls - Variable in class elki.data.type.SimpleTypeInformation

The restriction class we represent.

clsname - Variable in class elki.gui.util.ClassTree.ClassNode

Class name.

clus - Variable in class elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance

Our clustering

clusprog - Variable in class elki.clustering.dbscan.DBSCAN.Instance

Progress for clusters (may be null).

cluster - Variable in class elki.clustering.correlation.ORCLUS.ProjectedEnergy

Resulting merged cluster

Cluster<M extends Model> - Class in elki.data

Generic cluster class, that may or not have hierarchical information.

Cluster(DBIDs) - Constructor for class elki.data.Cluster

Constructor without hierarchy information and name and model

Cluster(DBIDs, boolean) - Constructor for class elki.data.Cluster

Constructor without hierarchy information and name and model

Cluster(DBIDs, boolean, M) - Constructor for class elki.data.Cluster

Constructor without hierarchy information and name

Cluster(DBIDs, M) - Constructor for class elki.data.Cluster

Constructor without hierarchy information and name

Cluster(String, DBIDs) - Constructor for class elki.data.Cluster

Constructor without hierarchy information and model

Cluster(String, DBIDs, boolean) - Constructor for class elki.data.Cluster

Constructor without hierarchy information and model

Cluster(String, DBIDs, boolean, M) - Constructor for class elki.data.Cluster

Full constructor

Cluster(String, DBIDs, M) - Constructor for class elki.data.Cluster

Constructor without hierarchy information.

CLUSTER - Static variable in class elki.data.model.ClusterModel

Static cluster model that can be shared for all clusters (since the object doesn't include meta information.

clusteralg - Variable in class elki.outlier.subspace.OutRankS1

Clustering algorithm to run.

ClusterAlphaHullVisualization - Class in elki.visualization.visualizers.scatterplot.cluster

Visualizer generating the alpha shape of each cluster.

ClusterAlphaHullVisualization(double) - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization

Constructor.

ClusterAlphaHullVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.cluster

Instance.

ClusterAlphaHullVisualization.Par - Class in elki.visualization.visualizers.scatterplot.cluster

Parameterization class.

CLUSTERAREA - Static variable in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance

Generic tags to indicate the type of element.

ClusterCandidate(P3C.Signature) - Constructor for class elki.clustering.subspace.P3C.ClusterCandidate

Constructor.

clusterCenters(ArrayList<GeneratorInterface>, ClassLabel[]) - Method in class elki.data.synthetic.bymodel.GeneratorMain.AssignLabelsByDistance

Compute the cluster centers for each cluster.

ClusterContingencyTable - Class in elki.evaluation.clustering

Class storing the contingency table and related data on two clusterings.

ClusterContingencyTable(boolean, boolean, Clustering<?>, Clustering<?>) - Constructor for class elki.evaluation.clustering.ClusterContingencyTable

Constructor.

ClusterConvexHullVisualization - Class in elki.visualization.visualizers.scatterplot.cluster

Visualizer of the convex hull of each cluster.

ClusterConvexHullVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization

Constructor.

ClusterConvexHullVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.cluster

Instance.

ClusterConvexHullVisualization.Par - Class in elki.visualization.visualizers.scatterplot.cluster

Parameterization class.

clusterData(DBIDs, RangeSearcher<DBIDRef>, WritableDoubleDataStore, WritableDataStore<ModifiableDBIDs>) - Method in class elki.outlier.DWOF

This method applies a density based clustering algorithm.

ClusterDensityMergeHistory - Class in elki.clustering.hierarchical

Hierarchical clustering merge list, with additional coredists information.

ClusterDensityMergeHistory(ArrayDBIDs, int[], double[], int[], boolean, DoubleDataStore) - Constructor for class elki.clustering.hierarchical.ClusterDensityMergeHistory

Constructor.

CLUSTERDISTANCE_ID - Static variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par

Distance function to measure the similarity of clusterings.

ClusterDistanceMatrix - Class in elki.clustering.hierarchical

Shared code for algorithms that work on a pairwise cluster distance matrix.

ClusterDistanceMatrix(int) - Constructor for class elki.clustering.hierarchical.ClusterDistanceMatrix

Constructor.

clusterer - Variable in class elki.outlier.clustering.DBSCANOutlierDetection

Inner algorithm.

clusterer - Variable in class elki.outlier.clustering.DBSCANOutlierDetection.Par

Generalized DBSCAN clustering algorithm to run.

clusterer - Variable in class elki.outlier.clustering.KMeansOutlierDetection

K-Means clustering algorithm to use

clusterer - Variable in class elki.outlier.clustering.SilhouetteOutlierDetection

Clustering algorithm to use

ClusterFeature - Interface in elki.index.tree.betula.features

Interface for basic ClusteringFeature functions

ClusterFeature.Factory<F extends ClusterFeature> - Interface in elki.index.tree.betula.features

Cluster feature factory

ClusterHierarchyBuilder(DBIDs) - Constructor for class elki.clustering.optics.OPTICSXi.ClusterHierarchyBuilder

Constructor.

CLUSTERHULL - Static variable in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Instance

Prefix for IDs, CSS classes etc.

CLUSTERHULL - Static variable in class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization.Instance

Generic tags to indicate the type of element.

clusterids - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance

Cluster assignments.

clusterids - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance

Cluster assignment storage.

clusterIds - Variable in class elki.evaluation.clustering.pairsegments.Segment

The cluster numbers in each ring

clustering - Variable in class elki.clustering.optics.OPTICSXi.ClusterHierarchyBuilder

ELKI clustering object

clustering - Variable in class elki.outlier.clustering.NoiseAsOutliers

Clustering algorithm to use

clustering - Variable in class elki.outlier.clustering.NoiseAsOutliers.Par

Clustering algorithm to run.

clustering - Variable in class elki.result.textwriter.naming.SimpleEnumeratingScheme

Clustering this scheme is applied to.

clustering - Variable in class elki.visualization.projector.SilhouettePlotProjector

Underlying clustering

clustering - Variable in class elki.visualization.style.ClusterStylingPolicy

Clustering in use.

Clustering<M extends Model> - Class in elki.data

Result class for clusterings.

Clustering() - Constructor for class elki.data.Clustering

Constructor for an empty clustering

Clustering(List<Cluster<M>>) - Constructor for class elki.data.Clustering

Constructor with a list of top level clusters

ClusteringAdjustedRandIndexSimilarity - Class in elki.similarity.cluster

Measure the similarity of clusters via the Adjusted Rand Index.

ClusteringAdjustedRandIndexSimilarity() - Constructor for class elki.similarity.cluster.ClusteringAdjustedRandIndexSimilarity

Constructor - use the static instance ClusteringAdjustedRandIndexSimilarity.STATIC!

ClusteringAdjustedRandIndexSimilarity.Par - Class in elki.similarity.cluster

Parameterization class.

clusteringAlgorithm - Variable in class elki.outlier.clustering.CBLOF

The clustering algorithm to use.

ClusteringAlgorithm<C extends Clustering<? extends Model>> - Interface in elki.clustering

Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

ClusteringAlgorithmUtil - Class in elki.clustering

Utility functionality for writing clustering algorithms.

ClusteringAlgorithmUtil() - Constructor for class elki.clustering.ClusteringAlgorithmUtil

Private constructor.

ClusteringBCubedF1Similarity - Class in elki.similarity.cluster

Measure the similarity of clusters via the BCubed F1 Index.

ClusteringBCubedF1Similarity() - Constructor for class elki.similarity.cluster.ClusteringBCubedF1Similarity

Constructor - use the static instance ClusteringBCubedF1Similarity.STATIC!

ClusteringBCubedF1Similarity.Par - Class in elki.similarity.cluster

Parameterization class.

ClusteringDistanceSimilarity - Interface in elki.similarity.cluster

Distance and similarity measure for clusterings.

ClusteringFeature - Class in elki.clustering.hierarchical.birch

Clustering Feature of BIRCH

ClusteringFeature(int) - Constructor for class elki.clustering.hierarchical.birch.ClusteringFeature

Constructor.

ClusteringFowlkesMallowsSimilarity - Class in elki.similarity.cluster

Measure the similarity of clusters via the Fowlkes-Mallows Index.

ClusteringFowlkesMallowsSimilarity() - Constructor for class elki.similarity.cluster.ClusteringFowlkesMallowsSimilarity

Constructor - use the static instance ClusteringFowlkesMallowsSimilarity.STATIC!

ClusteringFowlkesMallowsSimilarity.Par - Class in elki.similarity.cluster

Parameterization class.

ClusteringRandIndexSimilarity - Class in elki.similarity.cluster

Measure the similarity of clusters via the Rand Index.

ClusteringRandIndexSimilarity() - Constructor for class elki.similarity.cluster.ClusteringRandIndexSimilarity

Constructor - use the static instance ClusteringRandIndexSimilarity.STATIC!

ClusteringRandIndexSimilarity.Par - Class in elki.similarity.cluster

Parameterization class.

clusterings - Variable in class elki.evaluation.clustering.pairsegments.Segments

Clusterings

clusteringsCount - Variable in class elki.evaluation.clustering.pairsegments.Segments

Number of clusterings in comparison

ClusteringVectorDumper - Class in elki.result

Output a clustering result in a simple and compact ascii format: whitespace separated cluster indexes

ClusteringVectorDumper(Path, boolean) - Constructor for class elki.result.ClusteringVectorDumper

Constructor.

ClusteringVectorDumper(Path, boolean, String) - Constructor for class elki.result.ClusteringVectorDumper

Constructor.

ClusteringVectorDumper.Par - Class in elki.result

Parameterization class.

ClusteringVectorParser - Class in elki.datasource.parser

Parser for simple clustering results in vector form, as written by ClusteringVectorDumper.

ClusteringVectorParser(CSVReaderFormat) - Constructor for class elki.datasource.parser.ClusteringVectorParser

Constructor.

ClusteringVectorParser.Par - Class in elki.datasource.parser

Parameterization class.

ClusterIntersectionSimilarity - Class in elki.similarity.cluster

Measure the similarity of clusters via the intersection size.

ClusterIntersectionSimilarity() - Constructor for class elki.similarity.cluster.ClusterIntersectionSimilarity

Constructor - use the static instance ClusterIntersectionSimilarity.STATIC!

ClusterIntersectionSimilarity.Par - Class in elki.similarity.cluster

Parameterization class.

ClusterJaccardSimilarity - Class in elki.similarity.cluster

Measure the similarity of clusters via the Jaccard coefficient.

ClusterJaccardSimilarity() - Constructor for class elki.similarity.cluster.ClusterJaccardSimilarity

Constructor - use the static instance ClusterJaccardSimilarity.STATIC!

ClusterJaccardSimilarity.Par - Class in elki.similarity.cluster

Parameterization class.

clustermap - Variable in class elki.clustering.hierarchical.ClusterDistanceMatrix

Mapping from positions to cluster numbers

CLUSTERMEAN - Static variable in class elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance

Generic tags to indicate the type of element.

ClusterMeanVisualization - Class in elki.visualization.visualizers.scatterplot.cluster

Visualize the mean of a KMeans-Clustering

ClusterMeanVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization

Constructor.

ClusterMeanVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.cluster

Instance.

clusterMembers - Variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance

Collected cluster members

ClusterMergeHistory - Class in elki.clustering.hierarchical

Merge history representing a hierarchical clustering.

ClusterMergeHistory(ArrayDBIDs, int[], double[], int[], boolean) - Constructor for class elki.clustering.hierarchical.ClusterMergeHistory

Constructor.

ClusterMergeHistoryBuilder - Class in elki.clustering.hierarchical

Class to help building a pointer hierarchy.

ClusterMergeHistoryBuilder(ArrayDBIDs, boolean) - Constructor for class elki.clustering.hierarchical.ClusterMergeHistoryBuilder

Constructor.

ClusterModel - Class in elki.data.model

Generic cluster model.

ClusterModel() - Constructor for class elki.data.model.ClusterModel

clusterOrder - Variable in class elki.clustering.correlation.HiCO.Instance

Cluster order.

clusterOrder - Variable in class elki.clustering.optics.OPTICSHeap.Instance

Output cluster order.

clusterOrder - Variable in class elki.clustering.optics.OPTICSList.Instance

Output cluster order.

clusterOrder - Variable in class elki.clustering.subspace.DiSH.Instance

Cluster order.

clusterOrder - Variable in class elki.clustering.subspace.HiSC.Instance

Cluster order.

clusterOrder - Variable in class elki.visualization.projector.OPTICSProjector

Cluster order result

ClusterOrder - Class in elki.clustering.optics

Class to store the result of an ordering clustering algorithm such as OPTICS.

ClusterOrder(ArrayModifiableDBIDs, WritableDoubleDataStore, WritableDBIDDataStore) - Constructor for class elki.clustering.optics.ClusterOrder

Constructor

ClusterOrder(DBIDs) - Constructor for class elki.clustering.optics.ClusterOrder

Constructor

CLUSTERORDER - Static variable in interface elki.visualization.style.StyleLibrary

Clusterorder

ClusterOrderVisualization - Class in elki.visualization.visualizers.scatterplot.cluster

Cluster order visualizer: connect objects via the spanning tree the cluster order represents.

ClusterOrderVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization

Constructor.

ClusterOrderVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.cluster

Instance

ClusterOutlineVisualization - Class in elki.visualization.visualizers.parallel.cluster

Generates a SVG-Element that visualizes the area covered by a cluster.

ClusterOutlineVisualization(ClusterOutlineVisualization.Par) - Constructor for class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization

Constructor.

ClusterOutlineVisualization.Instance - Class in elki.visualization.visualizers.parallel.cluster

Instance

ClusterOutlineVisualization.Par - Class in elki.visualization.visualizers.parallel.cluster

Parameterization class.

ClusterPairSegmentAnalysis - Class in elki.evaluation.clustering.pairsegments

Evaluate clustering results by building segments for their pairs: shared pairs and differences.

ClusterPairSegmentAnalysis() - Constructor for class elki.evaluation.clustering.pairsegments.ClusterPairSegmentAnalysis

Constructor.

ClusterParallelMeanVisualization - Class in elki.visualization.visualizers.parallel.cluster

Generates a SVG-Element that visualizes cluster means.

ClusterParallelMeanVisualization() - Constructor for class elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization

Constructor.

ClusterParallelMeanVisualization.Instance - Class in elki.visualization.visualizers.parallel.cluster

Instance.

ClusterPrototypeMergeHistory - Class in elki.clustering.hierarchical

Cluster merge history with additional cluster prototypes (for HACAM, MedoidLinkage, and MiniMax clustering)

ClusterPrototypeMergeHistory(ArrayDBIDs, int[], double[], int[], boolean, ArrayDBIDs) - Constructor for class elki.clustering.hierarchical.ClusterPrototypeMergeHistory

Constructor.

ClusterRadius - Class in elki.evaluation.clustering.internal

Evaluate a clustering by the (weighted) cluster radius.

ClusterRadius(NumberVectorDistance<?>, NoiseHandling) - Constructor for class elki.evaluation.clustering.internal.ClusterRadius

Constructor.

ClusterRadius.Par - Class in elki.evaluation.clustering.internal

Parameterization class.

clusterRandom - Variable in class elki.datasource.GeneratorXMLDatabaseConnection

Random generator used for initializing cluster generators.

clusterRandom - Variable in class elki.datasource.GeneratorXMLDatabaseConnection.Par

Random generator used for initializing cluster generators.

clusters - Variable in class elki.clustering.hierarchical.HACAM.Instance

Cluster to members map

clusters - Variable in class elki.clustering.hierarchical.MedoidLinkage.Instance

Cluster to members map

clusters - Variable in class elki.clustering.hierarchical.MiniMax.Instance

Map to cluster members

clusters - Variable in class elki.clustering.kmeans.AbstractKMeans.Instance

Store the elements per cluster.

clusters - Variable in class elki.clustering.kmeans.KMeansMinusMinus.Instance

Cluster storage.

clusters - Variable in class elki.evaluation.clustering.pairsegments.Segments

Clusters

clusterSizes - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.Instance

Number of elements in each cluster.

ClusterStarVisualization - Class in elki.visualization.visualizers.scatterplot.cluster

Visualize the mean of a KMeans-Clustering using stars.

ClusterStarVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization

Constructor.

ClusterStarVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.cluster

Instance.

ClusterStyleAction - Class in elki.visualization.visualizers.actions

Actions to use clusterings for styling.

ClusterStyleAction() - Constructor for class elki.visualization.visualizers.actions.ClusterStyleAction

Constructor.

ClusterStyleAction.SetStyleAction - Class in elki.visualization.visualizers.actions

Action to use a clustering as ClusterStylingPolicy.

ClusterStylingPolicy - Class in elki.visualization.style

Styling policy based on cluster membership.

ClusterStylingPolicy(Clustering<?>, StyleLibrary) - Constructor for class elki.visualization.style.ClusterStylingPolicy

Constructor.

ClusterStylingPolicy.IntensityTransform - Enum in elki.visualization.style

Intensity transformation functions

clusterSums - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.Instance

To aggregate the sum of a cluster.

ClustersWithNoiseExtraction - Class in elki.clustering.hierarchical.extraction

Extraction of a given number of clusters with a minimum size, and noise.

ClustersWithNoiseExtraction(HierarchicalClusteringAlgorithm, int, int) - Constructor for class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction

Constructor.

ClustersWithNoiseExtraction.Instance - Class in elki.clustering.hierarchical.extraction

Instance for a single data set.

ClustersWithNoiseExtraction.Par - Class in elki.clustering.hierarchical.extraction

Parameterization class.

cmap - Variable in class elki.visualization.style.ClusterStylingPolicy

Map from cluster objects to color offsets.

cmark - Variable in class elki.utilities.datastructures.KuhnMunkres

Column marks.

cmin - Variable in class elki.utilities.datastructures.KuhnMunkresStern

Minimum value of non-marked row, for each column.

Cn - Variable in class elki.svm.CSVC

Cn - Variable in class elki.svm.solver.Solver

CNAME - Static variable in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer

Name for this visualizer.

cnum - Variable in class elki.clustering.kmeans.AnnulusKMeans.Instance

Sorted neighbors

cnum - Variable in class elki.clustering.kmeans.ExponionKMeans.Instance

Sorted neighbors

cnum - Variable in class elki.clustering.kmeans.SortMeans.Instance

Sorted neighbors

co - Variable in class elki.clustering.optics.OPTICSXi.SteepScanPosition

Cluster order

co - Variable in class elki.visualization.opticsplot.OPTICSPlot

The result to plot.

code - Variable in class elki.outlier.lof.ALOCI.Node

Position code

coeff - Variable in class elki.math.linearalgebra.LinearEquationSystem

The matrix of coefficients.

coefficient(double[], double[]) - Static method in class elki.math.PearsonCorrelation

Compute the Pearson product-moment correlation coefficient.

coefficient(NumberVector, NumberVector) - Static method in class elki.math.PearsonCorrelation

Compute the Pearson product-moment correlation coefficient for two NumberVectors.

coefficientOfDetermination() - Method in class elki.math.statistics.MultipleLinearRegression

Returns the coefficient of determination

COF<O> - Class in elki.outlier.lof

Connectivity-based Outlier Factor (COF).

COF(Distance<? super O>, int) - Constructor for class elki.outlier.lof.COF

Constructor.

col - Variable in class elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization.Sorter

Column to use for sorting.

col - Variable in class elki.math.linearalgebra.LinearEquationSystem

Encodes column permutations, column j is at position col[j].

col - Variable in class elki.result.CollectionResult

The collection represented.

colcard - Variable in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Cardinalities.

colDim - Variable in class elki.clustering.biclustering.AbstractBiclustering

Column dimensionality.

colIDs - Variable in class elki.data.model.BiclusterModel

The column numbers included in the Bicluster.

collect(int, int[], int, int) - Method in interface elki.itemsetmining.FPGrowth.FPTree.Collector

Collect a single frequent itemset

collect(T) - Method in interface elki.utilities.datastructures.iterator.It

Collect the output in a colection.

collectByCover(DBIDRef, ModifiableDoubleDBIDList, double, ModifiableDoubleDBIDList) - Method in class elki.index.tree.metrical.covertree.AbstractCoverTree

Collect all elements with respect to a new routing object.

collectChildren(HDBSCANHierarchyExtraction.TempCluster, Clustering<DendrogramModel>, WritableDoubleDataStore, HDBSCANHierarchyExtraction.TempCluster, Cluster<DendrogramModel>, boolean) - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance

Recursive flattening of clusters.

collectClusters(StaticDBIDs, UnionFind) - Method in class elki.clustering.svm.SupportVectorClustering

collectFactorys(MergedParameterization, Pattern) - Static method in class elki.visualization.VisualizerParameterizer.Par

Collect and instantiate all visualizer factories.

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

Constructor.

CollectionResult<O> - Class in elki.result

Simple 'collection' type of result.

CollectionResult(Collection<O>) - Constructor for class elki.result.CollectionResult

Constructor

CollectionResult(Collection<O>, Collection<String>) - Constructor for class elki.result.CollectionResult

Constructor

colM - Variable in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Means.

color - Variable in class elki.math.geometry.XYPlot.Curve

Suggested color (number).

COLOR - Static variable in interface elki.visualization.style.StyleLibrary

Color

COLOR_AXIS_LABEL - Static variable in interface elki.visualization.colors.ColorLibrary

Named color for a typical axis label

COLOR_AXIS_LINE - Static variable in interface elki.visualization.colors.ColorLibrary

Named color for a typical axis

COLOR_AXIS_MINOR_TICK - Static variable in interface elki.visualization.colors.ColorLibrary

Named color for a typical axis tick mark

COLOR_AXIS_TICK - Static variable in interface elki.visualization.colors.ColorLibrary

Named color for a typical axis tick mark

COLOR_DEFAULT_VALUE - Static variable in class elki.gui.util.ParameterTable

Color for parameters having a default value.

COLOR_INCOMPLETE - Static variable in class elki.gui.util.ParameterTable

Color for parameters that are not optional and not yet specified.

COLOR_KEY_BACKGROUND - Static variable in interface elki.visualization.colors.ColorLibrary

Named color for the background of the key box

COLOR_KEY_LABEL - Static variable in interface elki.visualization.colors.ColorLibrary

Named color for a label in the key part

COLOR_LINE_COLORS - Static variable in interface elki.visualization.colors.ColorLibrary

List of line colors

COLOR_OPTIONAL - Static variable in class elki.gui.util.ParameterTable

Color for optional parameters (with no default value)

COLOR_PAGE_BACKGROUND - Static variable in interface elki.visualization.colors.ColorLibrary

Named color for the page background

COLOR_PLOT_BACKGROUND - Static variable in interface elki.visualization.colors.ColorLibrary

Background color for plot area

COLOR_SYNTAX_ERROR - Static variable in class elki.gui.util.ParameterTable

Color for parameters with an invalid value.

ColoredHistogramVisualizer - Class in elki.visualization.visualizers.histogram

Generates a SVG-Element containing a histogram representing the distribution of the database's objects.

ColoredHistogramVisualizer(ColoredHistogramVisualizer.Par) - Constructor for class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer

Constructor.

ColoredHistogramVisualizer.Instance<NV extends NumberVector> - Class in elki.visualization.visualizers.histogram

Instance

ColoredHistogramVisualizer.Par - Class in elki.visualization.visualizers.histogram

Parameterization class.

ColorfulRenderer() - Constructor for class elki.gui.util.ParameterTable.ColorfulRenderer

Constructor.

ColorInterpolation - Enum in elki.visualization.style

Color interpolation

ColorInterpolation() - Constructor for enum elki.visualization.style.ColorInterpolation

ColorLibrary - Interface in elki.visualization.colors

Color scheme interface

colorLookupStylesheet - Static variable in class elki.visualization.svg.SVGUtil

CSS Stylesheet from Javax, to parse color values.

colorMultiply(int, double, boolean) - Method in class elki.application.experiments.VisualizeGeodesicDistances

colors - Variable in class elki.visualization.colors.ListBasedColorLibrary

Array of color names.

colors - Variable in class elki.visualization.opticsplot.OPTICSPlot

Color adapter to use

colors - Variable in class elki.visualization.parallel3d.Parallel3DRenderer

Color table.

colors - Variable in class elki.visualization.silhouette.SilhouettePlot

Color adapter to use

colors - Variable in class elki.visualization.style.ClusterStylingPolicy

Colors

colors - Variable in class elki.visualization.style.lines.DashedLineStyleLibrary

The style library we use for colors

colors - Variable in class elki.visualization.style.lines.SolidLineStyleLibrary

Reference to the color library.

colors - Variable in class elki.visualization.style.marker.CircleMarkers

Color library

colors - Variable in class elki.visualization.style.marker.MinimalMarkers

Color library

colors - Variable in class elki.visualization.style.marker.PrettyMarkers

Color library

colorset - Variable in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

Color library (only used in compatibility mode)

COLORSET - Static variable in interface elki.visualization.style.StyleLibrary

Color set

colorToString(int) - Static method in class elki.visualization.svg.SVGUtil

Convert a color name from an integer RGB color to CSS syntax

colorToString(Color) - Static method in class elki.visualization.svg.SVGUtil

Convert a color name from an AWT color object to CSS syntax

cols - Variable in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Row and column bitmasks.

cols - Variable in class elki.datasource.filter.cleaning.NoMissingValuesFilter

Number of columns

colsBitsetToIDs(long[]) - Method in class elki.clustering.biclustering.AbstractBiclustering

Convert a bitset into integer column ids.

colsBitsetToIDs(BitSet) - Method in class elki.clustering.biclustering.AbstractBiclustering

Convert a bitset into integer column ids.

colSep - Variable in class elki.datasource.parser.CSVReaderFormat

Stores the column separator pattern

colSep - Variable in class elki.datasource.parser.CSVReaderFormat.Par

Stores the column separator pattern

colSum(int) - Method in class elki.evaluation.classification.ConfusionMatrix

The number of instances present in the specified column.

column - Variable in class elki.datasource.filter.AbstractStreamConversionFilter

The column to filter.

column - Variable in class elki.datasource.filter.cleaning.VectorDimensionalityFilter

The column to filter.

column - Variable in class elki.timeseries.ChangePoint

Column id.

column - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance

Raw data column.

COLUMN_SEPARATOR_ID - Static variable in class elki.datasource.parser.CSVReaderFormat.Par

OptionID for the column separator parameter (defaults to whitespace as in CSVReaderFormat.DEFAULT_SEPARATOR.

columnnames - Variable in class elki.datasource.parser.NumberVectorLabelParser

Column names.

columnnr - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance

Current column number.

columnPackedCopy(double[][]) - Static method in class elki.math.linearalgebra.VMath

Make a one-dimensional column packed copy of the internal array.

columns - Variable in class elki.datasource.bundle.MultipleObjectsBundle

Storing the real contents.

columns - Static variable in class elki.gui.util.ParametersModel

Column headers in model

combine(double[]) - Method in interface elki.utilities.ensemble.EnsembleVoting

Combine scores function.

combine(double[]) - Method in class elki.utilities.ensemble.EnsembleVotingInverseMultiplicative

combine(double[]) - Method in class elki.utilities.ensemble.EnsembleVotingMax

combine(double[]) - Method in class elki.utilities.ensemble.EnsembleVotingMean

combine(double[]) - Method in class elki.utilities.ensemble.EnsembleVotingMedian

combine(double[]) - Method in class elki.utilities.ensemble.EnsembleVotingMin

combine(double[]) - Method in class elki.utilities.ensemble.EnsembleVotingMultiplicative

combine(double[], int) - Method in interface elki.utilities.ensemble.EnsembleVoting

Combine scores function.

combine(double[], int) - Method in class elki.utilities.ensemble.EnsembleVotingInverseMultiplicative

combine(double[], int) - Method in class elki.utilities.ensemble.EnsembleVotingMax

combine(double[], int) - Method in class elki.utilities.ensemble.EnsembleVotingMean

combine(double[], int) - Method in class elki.utilities.ensemble.EnsembleVotingMedian

combine(double[], int) - Method in class elki.utilities.ensemble.EnsembleVotingMin

combine(double[], int) - Method in class elki.utilities.ensemble.EnsembleVotingMultiplicative

combine(int, double, int, double, int, double) - Method in class elki.clustering.hierarchical.linkage.CentroidLinkage

combine(int, double, int, double, int, double) - Method in class elki.clustering.hierarchical.linkage.CompleteLinkage

combine(int, double, int, double, int, double) - Method in class elki.clustering.hierarchical.linkage.FlexibleBetaLinkage

combine(int, double, int, double, int, double) - Method in class elki.clustering.hierarchical.linkage.GroupAverageLinkage

combine(int, double, int, double, int, double) - Method in interface elki.clustering.hierarchical.linkage.Linkage

Compute combined linkage for two clusters.

combine(int, double, int, double, int, double) - Method in class elki.clustering.hierarchical.linkage.MedianLinkage

combine(int, double, int, double, int, double) - Method in class elki.clustering.hierarchical.linkage.MinimumVarianceLinkage

combine(int, double, int, double, int, double) - Method in class elki.clustering.hierarchical.linkage.SingleLinkage

combine(int, double, int, double, int, double) - Method in class elki.clustering.hierarchical.linkage.WardLinkage

combine(int, double, int, double, int, double) - Method in class elki.clustering.hierarchical.linkage.WeightedAverageLinkage

combine(int, double, int, double, int, double) - Method in enum tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Linkage

combine(int, double, int, double, int, double) - Method in enum tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Linkage

combine(int, int, double, int) - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.HalfPosPositions

combine(int, int, double, int) - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.HalfWidthPositions

combine(int, int, double, int) - Method in interface elki.visualization.visualizers.visunproj.DendrogramVisualization.Positions

Combine two objects, and return the new X coordinate.

CombinedInsertionStrategy - Class in elki.index.tree.spatial.rstarvariants.strategies.insert

Use two different insertion strategies for directory and leaf nodes.

CombinedInsertionStrategy(InsertionStrategy, InsertionStrategy) - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy

Constructor.

CombinedInsertionStrategy.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.insert

Parameterization class.

CombinedIntGenerator - Class in elki.utilities.datastructures.range

Combine multiple ranges.

CombinedIntGenerator(IntGenerator...) - Constructor for class elki.utilities.datastructures.range.CombinedIntGenerator

Constructor.

CombinedIntGenerator(Collection<IntGenerator>) - Constructor for class elki.utilities.datastructures.range.CombinedIntGenerator

Constructor.

CombinedTypeInformation - Class in elki.data.type

Class that combines multiple type restrictions into one using an "and" operator.

CombinedTypeInformation(TypeInformation...) - Constructor for class elki.data.type.CombinedTypeInformation

Constructor.

combineRaw(double, double, double) - Method in interface elki.index.tree.spatial.kd.PartialDistance

Combine the distance information.

combineRaw(double, double, double) - Method in class elki.index.tree.spatial.kd.PartialEuclideanDistance

combineRaw(double, double, double) - Method in class elki.index.tree.spatial.kd.PartialLPNormDistance

combineRaw(double, double, double) - Method in class elki.index.tree.spatial.kd.PartialManhattanDistance

combineRaw(double, double, double) - Method in class elki.index.tree.spatial.kd.PartialSquaredEuclideanDistance

combineRecursive(IntArrayList, int, short[], AggarwalYuEvolutionary.Individuum, AggarwalYuEvolutionary.Individuum) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Recursive method to build all possible gene combinations using positions in r.

comboBox - Variable in class elki.gui.util.ParameterTable.DropdownEditor

Combo box to use

commandLine - Variable in class elki.gui.minigui.MiniGUI

Command line output field.

comment - Variable in class elki.datasource.parser.CSVReaderFormat

Comment pattern.

comment - Variable in class elki.datasource.parser.CSVReaderFormat.Par

Comment pattern.

comment - Variable in class elki.datasource.parser.StringParser

Comment pattern.

comment - Variable in class elki.datasource.parser.StringParser.Par

Comment pattern.

comment - Variable in class elki.result.textwriter.TextWriterStream

Buffer for comment data to output.

comment - Variable in class elki.utilities.io.TokenizedReader

Comment pattern.

COMMENT - Static variable in class elki.clustering.meta.ExternalClustering

The comment character.

COMMENT - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore

The comment character.

COMMENT_CHAR - Static variable in class elki.utilities.ELKIServiceLoader

Comment character

COMMENT_ID - Static variable in class elki.datasource.parser.CSVReaderFormat.Par

Comment pattern.

COMMENT_PATTERN - Static variable in class elki.datasource.parser.CSVReaderFormat

Default pattern for comments.

COMMENT_PATTERN - Static variable in class elki.datasource.parser.LibSVMFormatParser

Comment pattern.

COMMENT_PREFIX - Static variable in class elki.gui.util.SavedSettingsFile

Comment prefix

commentPrint(CharSequence) - Method in class elki.result.textwriter.TextWriterStream

Print an object into the comments section

commentPrint(Object) - Method in class elki.result.textwriter.TextWriterStream

Print an object into the comments section

commentPrintLn() - Method in class elki.result.textwriter.TextWriterStream

Print a newline into the comments section.

commentPrintLn(CharSequence) - Method in class elki.result.textwriter.TextWriterStream

Print an object into the comments section with trailing newline.

commentPrintLn(Object) - Method in class elki.result.textwriter.TextWriterStream

Print an object into the comments section with trailing newline.

commentPrintSeparator() - Method in class elki.result.textwriter.TextWriterStream

Print a separator line in the comments section.

COMMENTSEP - Static variable in class elki.result.textwriter.TextWriterStream

Comment separator line.

CommonConstraints - Class in elki.utilities.optionhandling.constraints

Class storing a number of very common constraints.

CommonConstraints() - Constructor for class elki.utilities.optionhandling.constraints.CommonConstraints

Utility class, do not instantiate!

commonPreferenceVectors - Variable in class elki.clustering.subspace.DiSH.DiSHClusterOrder

Preference vectors.

commonPreferenceVectors - Variable in class elki.clustering.subspace.DiSH.Instance

Shared preference vectors.

commonPreferenceVectors - Variable in class elki.clustering.subspace.HiSC.Instance

Shared preference vectors.

CompactCircularMSTLayout3DPC - Class in elki.visualization.parallel3d.layout

Simple circular layout based on the minimum spanning tree.

CompactCircularMSTLayout3DPC(Dependence) - Constructor for class elki.visualization.parallel3d.layout.CompactCircularMSTLayout3DPC

Constructor.

CompactCircularMSTLayout3DPC.Node - Class in elki.visualization.parallel3d.layout

Node class for this layout.

CompactCircularMSTLayout3DPC.Par - Class in elki.visualization.parallel3d.layout

Parameteriation class.

ComparableMaxHeap<K extends java.lang.Comparable<? super K>> - Class in elki.utilities.datastructures.heap

Binary heap for primitive types.

ComparableMaxHeap() - Constructor for class elki.utilities.datastructures.heap.ComparableMaxHeap

Constructor, with default size.

ComparableMaxHeap(int) - Constructor for class elki.utilities.datastructures.heap.ComparableMaxHeap

Constructor, with given minimum size.

ComparableMaxHeap.UnsortedIter - Class in elki.utilities.datastructures.heap

Unsorted iterator - in heap order.

ComparableMinHeap<K extends java.lang.Comparable<? super K>> - Class in elki.utilities.datastructures.heap

Binary heap for primitive types.

ComparableMinHeap() - Constructor for class elki.utilities.datastructures.heap.ComparableMinHeap

Constructor, with default size.

ComparableMinHeap(int) - Constructor for class elki.utilities.datastructures.heap.ComparableMinHeap

Constructor, with given minimum size.

ComparableMinHeap.UnsortedIter - Class in elki.utilities.datastructures.heap

Unsorted iterator - in heap order.

comparator - Variable in class elki.utilities.datastructures.heap.ComparatorMaxHeap

Comparator

comparator - Variable in class elki.utilities.datastructures.heap.ComparatorMinHeap

Comparator

comparator - Variable in class elki.utilities.datastructures.heap.Heap

The comparator.

ComparatorMaxHeap<K> - Class in elki.utilities.datastructures.heap

Binary heap for primitive types.

ComparatorMaxHeap(int, Comparator<? super K>) - Constructor for class elki.utilities.datastructures.heap.ComparatorMaxHeap

Constructor, with given minimum size.

ComparatorMaxHeap(Comparator<? super K>) - Constructor for class elki.utilities.datastructures.heap.ComparatorMaxHeap

Constructor, with default size.

ComparatorMaxHeap.UnsortedIter - Class in elki.utilities.datastructures.heap

Unsorted iterator - in heap order.

ComparatorMinHeap<K> - Class in elki.utilities.datastructures.heap

Binary heap for primitive types.

ComparatorMinHeap(int, Comparator<? super K>) - Constructor for class elki.utilities.datastructures.heap.ComparatorMinHeap

Constructor, with given minimum size.

ComparatorMinHeap(Comparator<? super K>) - Constructor for class elki.utilities.datastructures.heap.ComparatorMinHeap

Constructor, with default size.

ComparatorMinHeap.UnsortedIter - Class in elki.utilities.datastructures.heap

Unsorted iterator - in heap order.

compare(int, int) - Method in class elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization.Sorter

compare(int, int) - Method in class elki.evaluation.scores.adapter.DecreasingVectorIter

compare(int, int) - Method in class elki.evaluation.scores.adapter.IncreasingVectorIter

compare(int, int) - Method in class tutorial.clustering.SameSizeKMeans.PreferenceComparator

compare(long[], long[]) - Static method in class elki.utilities.datastructures.BitsUtil

Compare two bitsets.

compare(long, long) - Static method in class elki.utilities.datastructures.BitsUtil

Compare two bitsets.

compare(NumberVector, NumberVector) - Method in class elki.data.VectorUtil.SortVectorsBySingleDimension

compare(SpatialComparable, SpatialComparable) - Method in class elki.data.spatial.SpatialSingleMaxComparator

compare(SpatialComparable, SpatialComparable) - Method in class elki.data.spatial.SpatialSingleMeanComparator

compare(SpatialComparable, SpatialComparable) - Method in class elki.data.spatial.SpatialSingleMinComparator

compare(SpatialComparable, SpatialComparable) - Method in class elki.math.spacefillingcurves.BinarySplitSpatialSorter.Sorter

compare(DBIDRef, DBIDRef) - Method in class elki.clustering.correlation.HiCO.Instance

compare(DBIDRef, DBIDRef) - Method in class elki.clustering.optics.GeneralizedOPTICS.Instance

compare(DBIDRef, DBIDRef) - Method in class elki.clustering.subspace.DiSH.Instance

compare(DBIDRef, DBIDRef) - Method in class elki.clustering.subspace.DiSH.Instance.Sorter

compare(DBIDRef, DBIDRef) - Method in class elki.clustering.subspace.HiSC.Instance

compare(DBIDRef, DBIDRef) - Method in class elki.data.VectorUtil.SortDBIDsBySingleDimension

compare(DBIDRef, DBIDRef) - Method in class elki.database.datastore.DataStoreUtil.AscendingByDoubleDataStore

compare(DBIDRef, DBIDRef) - Method in class elki.database.datastore.DataStoreUtil.AscendingByDoubleDataStoreAndId

compare(DBIDRef, DBIDRef) - Method in class elki.database.datastore.DataStoreUtil.AscendingByIntegerDataStore

compare(DBIDRef, DBIDRef) - Method in class elki.database.datastore.DataStoreUtil.DescendingByDoubleDataStore

compare(DBIDRef, DBIDRef) - Method in class elki.database.datastore.DataStoreUtil.DescendingByDoubleDataStoreAndId

compare(DBIDRef, DBIDRef) - Method in class elki.database.datastore.DataStoreUtil.DescendingByIntegerDataStore

compare(DBIDRef, DBIDRef) - Method in interface elki.database.ids.DBIDFactory

Compare two DBIDs, for sorting.

compare(DBIDRef, DBIDRef) - Static method in class elki.database.ids.DBIDUtil

Compare two DBIDs.

compare(DBIDRef, DBIDRef) - Method in class elki.database.ids.integer.AbstractIntegerDBIDFactory

compare(DBIDRef, DBIDRef) - Method in class elki.database.relation.RelationUtil.AscendingByDoubleRelation

compare(DBIDRef, DBIDRef) - Method in class elki.database.relation.RelationUtil.DescendingByDoubleRelation

compare(DBIDRef, DBIDRef) - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.CountSortAccesses

compare(IntegerDBIDVar, int, IntegerDBIDVar, int, Comparator<? super DBIDRef>) - Static method in class elki.database.ids.integer.IntegerDBIDArrayQuickSort

Compare two elements.

compare(PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher, int, int) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher

compare(DAFile, DAFile) - Method in class elki.index.vafile.PartialVAFile.WorstCaseDistComparator

compare(T, int, int) - Method in interface elki.utilities.datastructures.QuickSelect.Adapter

Compare two elements.

compareLexicographical(Itemset, Itemset) - Static method in class elki.itemsetmining.Itemset

Robust compare using the iterators, lexicographical only!

CompareMeans<V extends NumberVector> - Class in elki.clustering.kmeans

Compare-Means: Accelerated k-means by exploiting the triangle inequality and pairwise distances of means to prune candidate means.

CompareMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.CompareMeans

Constructor.

CompareMeans.Instance - Class in elki.clustering.kmeans

Inner instance, storing state for a single data set.

CompareMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans

Parameterization class.

comparePackageClass(Class<?>, Class<?>) - Static method in class elki.utilities.ELKIServiceScanner

Compare two classes, by package name first.

compareRawRegular(double, double) - Method in interface elki.index.tree.spatial.kd.PartialDistance

Check if a "raw" distance is less or equal a regular distance.

compareRawRegular(double, double) - Method in class elki.index.tree.spatial.kd.PartialEuclideanDistance

compareRawRegular(double, double) - Method in class elki.index.tree.spatial.kd.PartialLPNormDistance

compareRawRegular(double, double) - Method in class elki.index.tree.spatial.kd.PartialManhattanDistance

compareRawRegular(double, double) - Method in class elki.index.tree.spatial.kd.PartialSquaredEuclideanDistance

compareSwappedTo(DoubleDoublePair) - Method in class elki.utilities.pairs.DoubleDoublePair

Implementation of comparableSwapped interface, sorting by second then first.

compareSwappedTo(DoubleIntPair) - Method in class elki.utilities.pairs.DoubleIntPair

Implementation of comparableSwapped interface, sorting by second then first.

compareSwappedTo(IntDoublePair) - Method in class elki.utilities.pairs.IntDoublePair

Implementation of comparableSwapped interface, sorting by second then first.

compareSwappedTo(IntIntPair) - Method in class elki.utilities.pairs.IntIntPair

Implementation of comparableSwapped interface, sorting by second then first.

compareTo(KNNJoin.Task) - Method in class elki.algorithm.KNNJoin.Task

compareTo(CASHInterval) - Method in class elki.clustering.correlation.cash.CASHInterval

compareTo(ORCLUS.ProjectedEnergy) - Method in class elki.clustering.correlation.ORCLUS.ProjectedEnergy

Compares this object with the specified object for order.

compareTo(Border) - Method in class elki.clustering.dbscan.util.Border

compareTo(DeLiClu.SpatialObjectPair) - Method in class elki.clustering.optics.DeLiClu.SpatialObjectPair

Compares this object with the specified object for order.

compareTo(OPTICSHeapEntry) - Method in class elki.clustering.optics.OPTICSHeapEntry

compareTo(PROCLUS.DoubleIntInt) - Method in class elki.clustering.subspace.PROCLUS.DoubleIntInt

compareTo(ClassLabel) - Method in class elki.data.HierarchicalClassLabel

Compares two HierarchicalClassLabels.

compareTo(ClassLabel) - Method in class elki.data.SimpleClassLabel

compareTo(DBIDRef) - Method in interface elki.database.ids.DBID

Compare two DBIDs for ordering.

compareTo(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBID

compareTo(DoubleDBIDPair) - Method in class elki.database.ids.integer.DoubleIntegerDBIDPair

compareTo(Segment) - Method in class elki.evaluation.clustering.pairsegments.Segment

compareTo(MTreeSearchCandidate) - Method in class elki.index.tree.metrical.mtreevariants.query.MTreeSearchCandidate

compareTo(DistanceEntry<E>) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.DistanceEntry

Compares this object with the specified object for order.

compareTo(GNAT.PrioritySearchBranch) - Method in class elki.index.tree.metrical.vptree.GNAT.PrioritySearchBranch

compareTo(MemoryKDTree.PrioritySearchBranch) - Method in class elki.index.tree.spatial.kd.MemoryKDTree.PrioritySearchBranch

compareTo(MinimalisticMemoryKDTree.PrioritySearchBranch) - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.PrioritySearchBranch

compareTo(SmallMemoryKDTree.PrioritySearchBranch) - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree.PrioritySearchBranch

compareTo(PartialVAFile.PartialVACandidate) - Method in class elki.index.vafile.PartialVAFile.PartialVACandidate

compareTo(AssociationRule) - Method in class elki.itemsetmining.associationrules.AssociationRule

compareTo(Itemset) - Method in class elki.itemsetmining.DenseItemset

compareTo(Itemset) - Method in class elki.itemsetmining.Itemset

compareTo(Itemset) - Method in class elki.itemsetmining.OneItemset

compareTo(Itemset) - Method in class elki.itemsetmining.SmallDenseItemset

compareTo(Itemset) - Method in class elki.itemsetmining.SparseItemset

compareTo(EigenPair) - Method in class elki.math.linearalgebra.pca.EigenPair

Compares this object with the specified object for order.

compareTo(HilbertSpatialSorter.HilbertRef) - Method in class elki.math.spacefillingcurves.HilbertSpatialSorter.HilbertRef

compareTo(HySortOD.Hypercube) - Method in class elki.outlier.density.HySortOD.Hypercube

compareTo(HilOut.HilFeature) - Method in class elki.outlier.distance.HilOut.HilFeature

compareTo(AggarwalYuEvolutionary.Individuum) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.Individuum

compareTo(DoubleDoublePair) - Method in class elki.utilities.pairs.DoubleDoublePair

Implementation of comparable interface, sorting by first then second.

compareTo(DoubleIntPair) - Method in class elki.utilities.pairs.DoubleIntPair

Implementation of comparable interface, sorting by first then second.

compareTo(DoubleObjPair<O>) - Method in class elki.utilities.pairs.DoubleObjPair

compareTo(IntDoublePair) - Method in class elki.utilities.pairs.IntDoublePair

Implementation of comparable interface, sorting by first then second.

compareTo(IntIntPair) - Method in class elki.utilities.pairs.IntIntPair

Implementation of comparable interface, sorting by first then second.

compareTo(VisualizationTask) - Method in class elki.visualization.VisualizationTask

comparisonDistance - Variable in class elki.outlier.lof.LoOP

Distance function for comparison set.

compat - Variable in class elki.result.KMLOutputHandler

Compatibility mode.

compat - Variable in class elki.result.KMLOutputHandler.Par

Compatibility mode

COMPAT_ID - Static variable in class elki.result.KMLOutputHandler.Par

Parameter for compatibility mode.

complete() - Method in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder

Finalize the result.

complete() - Method in class elki.visualization.batikutil.ThumbnailRegistryEntry.InternalParsedURLData

complete(WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder

Build a result with additional coredists information.

COMPLETE - tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Linkage

COMPLETE - tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Linkage

completed - Variable in class elki.logging.progress.IndefiniteProgress

Store completion flag.

completedTextures - Variable in class elki.visualization.parallel3d.Parallel3DRenderer

Number of completely rendered textures.

CompleteLinkage - Class in elki.clustering.hierarchical.linkage

Complete-linkage ("maximum linkage") clustering method.

CompleteLinkage() - Constructor for class elki.clustering.hierarchical.linkage.CompleteLinkage

Deprecated.

use the static instance CompleteLinkage.STATIC instead.

CompleteLinkage.Par - Class in elki.clustering.hierarchical.linkage

Class parameterizer.

component - Variable in class elki.gui.util.ParameterTable.DispatchingPanel

Component to dispatch to.

component - Variable in class elki.visualization.batikutil.LazyCanvasResizer

Component the ratio applies to.

componentResized(ComponentEvent) - Method in class elki.visualization.batikutil.LazyCanvasResizer

React to a component resize event.

compress - Variable in class elki.visualization.gui.ResultWindow.TextWriterPanel

Compression option.

compute() - Method in class elki.math.geometry.AlphaShape

Compute the alpha shape.

computeABID(DistanceQuery<?>, KNNList, boolean) - Method in class elki.math.statistics.intrinsicdimensionality.RABIDEstimator

Estimate intrinsic dimensionality (both variants).

computeABOF(KernelMatrix, DBIDRef, DBIDArrayIter, DBIDArrayIter, MeanVariance) - Method in class elki.outlier.anglebased.ABOD

Compute the exact ABOF value.

computeAffinityMatrix(Relation<T>, double) - Method in interface elki.projection.AffinityMatrixBuilder

Compute the affinity matrix.

computeAffinityMatrix(Relation<T>, double) - Method in class elki.projection.GaussianAffinityMatrixBuilder

computeAffinityMatrix(Relation<T>, double) - Method in class elki.projection.IntrinsicNearestNeighborAffinityMatrixBuilder

computeAffinityMatrix(Relation<T>, double) - Method in class elki.projection.NearestNeighborAffinityMatrixBuilder

computeAffinityMatrix(Relation<T>, double) - Method in class elki.projection.PerplexityAffinityMatrixBuilder

computeAttractiveForces(double[], AffinityMatrix, double[][]) - Method in class elki.projection.BarnesHutTSNE

computeAUPRC(ScoreEvaluation.Adapter) - Static method in class elki.evaluation.scores.AUPRCEvaluation

Compute the area under the PR curve given a set of positive IDs and a sorted list of (comparable, ID)s, where the comparable object is used to decided when two objects are interchangeable.

computeAUROC(ScoreEvaluation.Adapter) - Static method in class elki.evaluation.scores.ROCEvaluation

Compute the area under the ROC curve given a set of positive IDs and a sorted list of (comparable, ID)s, where the comparable object is used to decided when two objects are interchangeable.

computeAverageChainingDistances(KNNSearcher<DBIDRef>, DistanceQuery<O>, DBIDs, WritableDoubleDataStore) - Method in class elki.outlier.lof.COF

Computes the average chaining distance, the average length of a path through the given set of points to each target.

computeAverageDistInSet() - Method in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

Compute for each point a density estimate as inverse of average distance to a point in a projected set

computeBadMedoids(ArrayDBIDs, ArrayList<PROCLUS.PROCLUSCluster>, int) - Method in class elki.clustering.subspace.PROCLUS

Computes the bad medoids, where the medoid of a cluster with less than the specified threshold of objects is bad.

computeBivariateRanks(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B, int) - Static method in class elki.math.statistics.dependence.HoeffdingsD

Compute bivariate ranks.

computeBoundingBox(Relation<? extends NumberVector>, DBIDArrayIter) - Method in class elki.clustering.em.KDTreeEM.KDTree

Compute the bounding box.

computeBounds(NumberVector[]) - Static method in class elki.data.uncertain.AbstractUncertainObject

Compute the bounding box for some samples.

computeCBLOFs(Relation<O>, WritableDoubleDataStore, DoubleMinMax, List<? extends Cluster<MeanModel>>, List<? extends Cluster<MeanModel>>) - Method in class elki.outlier.clustering.CBLOF

Compute the CBLOF scores for all the data.

computeCenterofMass(int, double[][], int, int) - Static method in class elki.projection.BarnesHutTSNE.QuadTree

Computer the center of mass.

computeCentroid(double[], Relation<? extends NumberVector>, DBIDs) - Static method in class elki.outlier.COP

Recompute the centroid of a set.

computeCentroids(int, List<V>, List<ClassLabel>, Map<ClassLabel, IntList>) - Method in class elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter

Compute the centroid for each class.

computeClusterQuality(int, int) - Method in class elki.clustering.subspace.DOC

Computes the quality of a cluster based on its size and number of relevant attributes, as described via the μ-function from the paper.

computeClusters(Relation<? extends NumberVector>, DiSH.DiSHClusterOrder) - Method in class elki.clustering.subspace.DiSH

Computes the hierarchical clusters according to the cluster order.

computeCOFScores(KNNSearcher<DBIDRef>, DBIDs, DoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.COF

Compute Connectivity outlier factors.

computeColResidue(double[][], int) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Computes the mean column residue of the given col.

computeConfidence(int, int) - Method in class elki.clustering.uncertain.RepresentativeUncertainClustering

Estimate the confidence probability of a clustering.

computeConvexHull() - Method in class elki.math.geometry.FilteredConvexHull2D

Compute the convex hull.

computeConvexHull() - Method in class elki.math.geometry.GrahamScanConvexHull2D

Compute the convex hull.

computeCoreDists(DBIDs, KNNSearcher<DBIDRef>, int) - Method in class elki.clustering.hierarchical.AbstractHDBSCAN

Compute the core distances for all objects.

computeCostDifferential(DBIDRef, double[]) - Method in class elki.clustering.kmedoids.FastCLARANS.Assignment

Compute the reassignment cost, for one swap.

computeCostDifferential(DBIDRef, int, CLARANS.Assignment) - Method in class elki.clustering.kmedoids.CLARANS.Assignment

Compute the reassignment cost, for one swap.

computeDCG(ScoreEvaluation.Adapter) - Static method in class elki.evaluation.scores.DCGEvaluation

Compute the DCG given a set of positive IDs and a sorted list of entries, which may include ties.

computeDCovar(double[], double[], int) - Method in class elki.math.statistics.dependence.DCor

Computes the distance covariance for two axis.

computeDensity(DoubleDBIDList, DoubleDBIDListIter, int) - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection

Computes the density of an object.

computeDiffs(List<CLIQUESubspace>, int[], int[]) - Method in class elki.clustering.subspace.CLIQUE

The specified sorted list of dense subspaces is divided into the selected set I and the pruned set P.

computeDimensionMap(List<PROCLUS.DoubleIntInt>, int, int) - Method in class elki.clustering.subspace.PROCLUS

Compute the dimension map.

computeDistanceMatrix(AbstractMTree<?, N, E, ?>, N) - Static method in class elki.index.tree.metrical.mtreevariants.strategies.split.AbstractMTreeSplit

Compute the pairwise distances in the given node.

computeDistances(ModifiableDoubleDBIDList, DBIDIter, DistanceQuery<O>, Relation<O>) - Method in class elki.algorithm.statistics.EvaluateRetrievalPerformance

Compute the distances to the neighbor objects.

computeDistances(NumberArrayAdapter<?, A>, A) - Static method in class elki.math.statistics.dependence.DCor

Compute the double-centered delta matrix.

computeDistanceVector(NumberVector, Relation<? extends NumberVector>, PrimitiveDistanceQuery<? super NumberVector>) - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection

Computes for each object the distance to one reference point.

computeEntropyFirst(int[][], int, int, double, double, double[]) - Static method in class elki.evaluation.clustering.Entropy

Compute entropy of first clustering.

computeEntropySecond(int[][], int, int, double, double, double[]) - Static method in class elki.evaluation.clustering.Entropy

Compute entropy of second clustering.

computeExactDistance() - Method in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher

computeExactDistance() - Method in class elki.database.query.distance.LinearScanPrioritySearcher

computeExactDistance() - Method in class elki.database.query.ExactPrioritySearcher

computeExactDistance() - Method in interface elki.database.query.PrioritySearcher

Compute the exact distance to the current candidate.

computeExactDistance() - Method in class elki.database.query.WrappedPrioritySearchDBIDByLookup

computeExactDistance() - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher

computeExactDistance() - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher

computeExactDistance() - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher

computeExactDistance() - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPrioritySearcher

computeExactDistance() - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher

computeExactDistance() - Method in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher

computeExactDistance() - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher

computeExactDistance() - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher

computeExactDistance() - Method in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher

computeExactDistance() - Method in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher

computeExplainedVariance(double[], int) - Method in class elki.math.linearalgebra.pca.AutotuningPCA

Compute the explained variance for a filtered EigenPairs.

computeExtend(int, double[][], int, int) - Static method in class elki.projection.BarnesHutTSNE.QuadTree

Compute the bounding box of a data set.

computeFirstCover(boolean) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments

Compute the covering radius of the first assignment.

computeFuzzyMembership(Relation<? extends NumberVector>, ArrayList<P3C.Signature>, ModifiableDBIDs, WritableDataStore<double[]>, List<MultivariateGaussianModel>, int) - Method in class elki.clustering.subspace.P3C

Computes a fuzzy membership with the weights based on which cluster cores each data point is part of.

computeGradient(AffinityMatrix, double[][], double[]) - Method in class elki.projection.BarnesHutTSNE

computeGradient(AffinityMatrix, double[][], double, double[][], double[]) - Method in class elki.projection.SNE

Compute the gradients.

computeGradient(AffinityMatrix, double[][], double, double[][], double[]) - Method in class elki.projection.TSNE

Compute the gradients.

computeGridBaseOffsets(int) - Method in class elki.clustering.dbscan.GriDBSCAN.Instance

Compute the grid base offset.

computeH(int, double[], double[], double) - Static method in class elki.projection.GaussianAffinityMatrixBuilder

Compute H (observed perplexity) for row i, and the row pij_i.

computeH(DBIDRef, DoubleDBIDListIter, double[], double) - Static method in class elki.outlier.distance.SOS

Compute H (observed perplexity) for row i, and the row pij_i.

computeH(DoubleArray, double[], double) - Static method in class elki.projection.NearestNeighborAffinityMatrixBuilder

Compute H (observed perplexity) for row i, and the row pij_i.

computeHeight() - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Computes the height of this RTree.

computeHeight() - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree

computeHeight() - Method in class elki.index.tree.spatial.rstarvariants.NonFlatRStarTree

computeIDOS(DBIDs, KNNSearcher<DBIDRef>, DoubleDataStore, DoubleMinMax) - Method in class elki.outlier.intrinsic.IDOS

Computes all IDOS scores.

computeIDs(DBIDs, KNNSearcher<DBIDRef>, DistanceQuery<O>) - Method in class elki.outlier.intrinsic.IDOS

Computes all IDs

computeIncreaseArea(double, double) - Method in class elki.visualization.gui.overview.RectangleArranger

computeINFLO(Relation<O>, ModifiableDBIDs, KNNSearcher<DBIDRef>, WritableDataStore<ModifiableDBIDs>, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.INFLO

Compute the final INFLO scores.

ComputeKNNOutlierScores<O extends NumberVector> - Class in elki.application.greedyensemble

Application that runs a series of kNN-based algorithms on a data set, for building an ensemble in a second step.

ComputeKNNOutlierScores(InputStep, Distance<? super O>, IntGenerator, ByLabelOutlier, Path, ScalingFunction, Pattern, int, long) - Constructor for class elki.application.greedyensemble.ComputeKNNOutlierScores

Constructor.

ComputeKNNOutlierScores.Par<O extends NumberVector> - Class in elki.application.greedyensemble

Parameterization class.

ComputeKNNOutlierScores.TimeoutException - Exception in elki.application.greedyensemble

Exception used in timeout logic.

computeLargeClusterCBLOF(O, NumberVectorDistance<? super O>, NumberVector, Cluster<MeanModel>) - Method in class elki.outlier.clustering.CBLOF

computeLocalModel(DBIDRef, DoubleDBIDList, Relation<? extends NumberVector>) - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate

COPAC model computation

computeLocalModel(DBIDRef, DoubleDBIDList, Relation<? extends NumberVector>) - Method in class elki.clustering.dbscan.predicates.FourCNeighborPredicate

computeLocalModel(DBIDRef, DoubleDBIDList, Relation<? extends NumberVector>) - Method in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate

computeLocalModel(DBIDRef, DoubleDBIDList, Relation<? extends O>) - Method in class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate

Method to compute the actual data model.

computeLOFs(KNNSearcher<DBIDRef>, DBIDs, DoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.FlexibleLOF

Computes the Local outlier factor (LOF) of the specified objects.

computeLOFScore(KNNSearcher<DBIDRef>, DBIDRef, DoubleDataStore) - Method in class elki.outlier.lof.LOF

Compute a single LOF score.

computeLOFScores(KNNSearcher<DBIDRef>, DBIDs, DoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.LOF

Compute local outlier factors.

computeLRD(KNNSearcher<DBIDRef>, DBIDIter) - Method in class elki.outlier.lof.LOF

Compute a single local reachability distance.

computeLRDs(KNNSearcher<DBIDRef>, DBIDs, WritableDoubleDataStore) - Method in class elki.outlier.lof.FlexibleLOF

Computes the local reachability density (LRD) of the specified objects.

computeLRDs(KNNSearcher<DBIDRef>, DBIDs, WritableDoubleDataStore) - Method in class elki.outlier.lof.LOF

Compute local reachability distances.

computeM_current(DBIDs, DBIDs, DBIDs, Random) - Method in class elki.clustering.subspace.PROCLUS

Computes the set of medoids in current iteration.

computeMAD(double[], int, double) - Static method in interface elki.math.statistics.distribution.estimator.MADDistributionEstimator

Compute the median absolute deviation from median.

computeMAD(double[], int, double, double[]) - Static method in interface elki.math.statistics.distribution.estimator.MADDistributionEstimator

Compute the median absolute deviation from median.

computeMaximumPossibleFuncValue(double[][], double[], double, double[], double[]) - Method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver

Calculates the maximum possible function value for a constrained quadratic function.

computeMBR() - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode

Recomputing the MBR is rather expensive.

computeMean() - Method in interface elki.data.synthetic.bymodel.GeneratorInterface

Get the cluster mean vector.

computeMean() - Method in class elki.data.synthetic.bymodel.GeneratorSingleCluster

computeMean() - Method in class elki.data.synthetic.bymodel.GeneratorStatic

computeMeans(List<CLIQUESubspace>) - Method in class elki.clustering.subspace.CLIQUE

The specified sorted list of dense subspaces is divided into the selected set I and the pruned set P.

computeMeanSquaredDeviation(double[][]) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Compute the mean square residue.

computeMIFull(int[][], int, int, int, int, double, double, double[]) - Method in class elki.evaluation.clustering.Entropy

Full computation of mutual information measures, including AMI/EMI.

computeMILarge(int[][], int, int, double, double) - Method in class elki.evaluation.clustering.Entropy

Compute mutual information measures, but skip expensive computation of AMI/EMI for large data sets, where they do not differ much.

computeMinMax(Relation<? extends NumberVector>) - Static method in class elki.database.relation.RelationUtil

Determines the minimum and maximum values in each dimension of all objects stored in the given database.

computeMinMax(Iterable<? extends SpatialComparable>) - Static method in interface elki.math.spacefillingcurves.SpatialSorter

Compute the minimum and maximum for each dimension.

computeNDCG(ScoreEvaluation.Adapter) - Static method in class elki.evaluation.scores.NDCGEvaluation

Compute the DCG given a set of positive IDs and a sorted list of entries, which may include ties.

computeNeighborhoods(Relation<O>, DataStore<SetDBIDs>, ModifiableDBIDs, WritableDataStore<ModifiableDBIDs>) - Method in class elki.outlier.lof.INFLO

Compute the reverse kNN minus the kNN.

computeNNForRealData(KNNSearcher<DBIDRef>, Relation<NumberVector>, int) - Method in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency

Search nearest neighbors for real data members.

computeNNForUniformData(KNNSearcher<NumberVector>, double[], double[]) - Method in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency

Search nearest neighbors for artificial, uniform data.

computeNormalizedRanks(NumberArrayAdapter<?, A>, A, int) - Static method in class elki.math.statistics.dependence.Dependence.Utils

Compute ranks of all objects, normalized to [0;1] (where 0 is the smallest value, 1 is the largest).

computeOffset(int, int) - Static method in class elki.application.experiments.ORLibBenchmark

Compute the offset within the file.

computeOffset(int, int) - Method in class elki.persistent.OnDiskUpperTriangleMatrix

Compute the offset within the file.

ComputeOutlierHistogram - Class in elki.evaluation.outlier

Compute a Histogram to evaluate a ranking algorithm.

ComputeOutlierHistogram(Pattern, int, ScalingFunction, boolean) - Constructor for class elki.evaluation.outlier.ComputeOutlierHistogram

Constructor.

ComputeOutlierHistogram.Par - Class in elki.evaluation.outlier

Parameterization class.

computeOutlierScores(KNNSearcher<DBIDRef>, DBIDs, WritableDataStore<double[]>, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.KDEOS

Compute the final KDEOS scores.

computeOutlierScores(Relation<O>, double) - Method in class elki.outlier.distance.AbstractDBOutlier

computes an outlier score for each object of the database.

computeOutlierScores(Relation<O>, double) - Method in class elki.outlier.distance.DBOutlierDetection

computeOutlierScores(Relation<O>, double) - Method in class elki.outlier.distance.DBOutlierScore

computeOverlap(A, ArrayAdapter<E, A>, long[]) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit

Compute overlap of assignment

computePDists(Relation<O>, KNNSearcher<DBIDRef>, WritableDoubleDataStore) - Method in class elki.outlier.lof.LoOP

Compute the probabilistic distances used by LoOP.

computePerDimensionVariances(Relation<? extends NumberVector>, double[], DBIDs) - Static method in class elki.outlier.subspace.SOD

Compute the per-dimension variances for the given neighborhood and center.

computePi(int, double[], double[], double, double) - Static method in class elki.projection.PerplexityAffinityMatrixBuilder

Compute row pij[i], using binary search on the kernel bandwidth sigma to obtain the desired perplexity.

computePi(DBIDRef, DoubleDBIDListIter, double[], double, double) - Static method in class elki.outlier.distance.SOS

Compute row p[i], using binary search on the kernel bandwidth sigma to obtain the desired perplexity.

computePij(double[][], double, double) - Static method in class elki.projection.GaussianAffinityMatrixBuilder

Compute the pij from the distance matrix.

computePij(double[][], double, double) - Static method in class elki.projection.PerplexityAffinityMatrixBuilder

Compute the pij from the distance matrix.

computePij(DBIDRange, KNNSearcher<DBIDRef>, boolean, int, double[][], int[][], double) - Method in class elki.projection.IntrinsicNearestNeighborAffinityMatrixBuilder

Compute the sparse pij using the nearest neighbors only.

computePij(DBIDRange, KNNSearcher<DBIDRef>, boolean, int, double[][], int[][], double) - Method in class elki.projection.NearestNeighborAffinityMatrixBuilder

Compute the sparse pij using the nearest neighbors only.

computePLOFs(Relation<O>, KNNSearcher<DBIDRef>, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class elki.outlier.lof.LoOP

Compute the LOF values, using the pdist distances.

computePopupBounds(Component, int, int, int, int) - Method in class elki.gui.util.TreePopup

computePositions(CompactCircularMSTLayout3DPC.Node, int, double, double, double, double) - Static method in class elki.visualization.parallel3d.layout.CompactCircularMSTLayout3DPC

Compute the layout positions

computePositions(SimpleCircularMSTLayout3DPC.Node, int, double, double, int) - Static method in class elki.visualization.parallel3d.layout.SimpleCircularMSTLayout3DPC

Compute the layout positions

computePrecisionResult(int, SetDBIDs, DBIDs) - Method in class elki.evaluation.outlier.OutlierPrecisionAtKCurve

computePRGAUC(ScoreEvaluation.Adapter, PRGCEvaluation.PRGCurve) - Static method in class elki.evaluation.scores.PRGCEvaluation

Compute the precision-recall-gain-curve

computeProjectionMatrix(List<V>, List<? extends ClassLabel>, int) - Method in class elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter

computes the projection matrix

computeProjectionMatrix(List<V>, List<? extends ClassLabel>, int) - Method in class elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter

computeQij(double[][], double[][]) - Method in class elki.projection.SNE

Compute the qij of the solution, and the sum.

computeQij(double[][], double[][]) - Method in class elki.projection.TSNE

Compute the qij of the solution, and the sum.

computeReassignmentCost(DBIDRef, double[]) - Method in class elki.clustering.kmedoids.FastPAM1.Instance

Compute the reassignment cost, for all medoids in one pass.

computeReassignmentCost(DBIDRef, int) - Method in class elki.clustering.kmedoids.FastPAM.Instance

Compute the reassignment cost of one swap.

computeReassignmentCost(DBIDRef, int) - Method in class elki.clustering.kmedoids.PAM.Instance

Compute the reassignment cost of one swap.

computeReassignmentCost(DBIDRef, WritableDoubleDataStore) - Method in class elki.clustering.kmedoids.ReynoldsPAM.Instance

Compute the reassignment cost, for all medoids in one pass.

computeReinserts(A, ArrayAdapter<? extends SpatialComparable, ? super A>, SpatialComparable) - Method in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.CloseReinsert

computeReinserts(A, ArrayAdapter<? extends SpatialComparable, ? super A>, SpatialComparable) - Method in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert

computeReinserts(A, ArrayAdapter<? extends SpatialComparable, ? super A>, SpatialComparable) - Method in interface elki.index.tree.spatial.rstarvariants.strategies.reinsert.ReinsertStrategy

Perform reinsertions.

computeRemovalCost(double[]) - Method in class elki.clustering.kmedoids.FastCLARANS.Assignment

Precompute the costs of reassigning to the second closest medoid.

computeRemovalCost(int, WritableDoubleDataStore) - Method in class elki.clustering.kmedoids.ReynoldsPAM.Instance

Compute the cost of removing a medoid just once.

computeRepulsiveForces(double[], int, double[], BarnesHutTSNE.QuadTree) - Method in class elki.projection.BarnesHutTSNE

Compute the repulsive forces for a single point

computeRowResidue(double[][], int, boolean) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Computes the mean row residue of the given row.

computeScale(ClusterOrder) - Method in class elki.visualization.opticsplot.OPTICSPlot

Compute the scale (value range)

computeScale(DoubleDBIDList[]) - Method in class elki.visualization.silhouette.SilhouettePlot

Compute the scale (value range)

computeScore(DBIDs, DBIDs, OutlierResult) - Method in class elki.evaluation.outlier.JudgeOutlierScores

Evaluate a single outlier score result.

computeSecondCover(boolean) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments

Compute the covering radius of the second assignment.

computeSetsBounds(Relation<? extends NumberVector>, int, DBIDs) - Method in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

Create random projections, project points and put points into sets of size about minSplitSize/2

computeSigma(int, DoubleArray, double, double, double[]) - Static method in class elki.projection.NearestNeighborAffinityMatrixBuilder

Compute row pij[i], using binary search on the kernel bandwidth sigma to obtain the desired perplexity.

computeSimilarityMatrix(Dependence, Relation<? extends NumberVector>) - Static method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC

Compute a column-wise dependency matrix for the given relation.

computeSimilarityMatrixImage(Relation<O>, DBIDIter) - Method in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage

Compute the actual similarity image.

ComputeSimilarityMatrixImage<O> - Class in elki.evaluation.similaritymatrix

Compute a similarity matrix for a distance function.

ComputeSimilarityMatrixImage(Distance<? super O>, ScalingFunction, boolean) - Constructor for class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage

Constructor.

ComputeSimilarityMatrixImage.Par<O> - Class in elki.evaluation.similaritymatrix

Parameterization class.

ComputeSimilarityMatrixImage.SimilarityMatrix - Class in elki.evaluation.similaritymatrix

Similarity matrix image.

computeSimplifiedLOFs(DBIDs, KNNSearcher<DBIDRef>, WritableDoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.SimplifiedLOF

Compute the simplified LOF factors.

computeSimplifiedLRDs(DBIDs, KNNSearcher<DBIDRef>, WritableDoubleDataStore) - Method in class elki.outlier.lof.SimplifiedLOF

Compute the simplified reachability densities.

computeSmallClusterCBLOF(O, NumberVectorDistance<? super O>, List<NumberVector>, Cluster<MeanModel>) - Method in class elki.outlier.clustering.CBLOF

computeSmROCResult(SetDBIDs, OutlierResult) - Method in class elki.evaluation.outlier.OutlierSmROCCurve

computeSquaredDistanceMatrix(List<I>, PrimitiveDistance<? super I>) - Static method in class elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform

Compute the squared distance matrix.

computeSquaredSeparation(double[][]) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance

Initial separation of means.

computeSquareSize(double[]) - Static method in class elki.projection.BarnesHutTSNE.QuadTree

Compute the square size of a bounding box.

computeStopDistance(List<KNNHeap>) - Method in class elki.algorithm.KNNJoin

Compute the maximum stop distance.

computeSubspace(int[], ArrayList<ArrayList<DBIDs>>) - Method in class elki.outlier.subspace.AbstractAggarwalYuOutlier

Method to get the ids in the given subspace.

computeSubspaceForGene(short[], ArrayList<ArrayList<DBIDs>>) - Method in class elki.outlier.subspace.AbstractAggarwalYuOutlier

Get the DBIDs in the current subspace.

computeTau(long, long, double, long, long) - Method in class elki.evaluation.clustering.internal.ConcordantPairsGammaTau

Compute the Tau correlation measure

computeVolumes(KNNSearcher<DBIDRef>, int, DBIDs, WritableDoubleDataStore) - Method in class elki.outlier.lof.VarianceOfVolume

Compute volumes

computeVOVs(KNNSearcher<DBIDRef>, DBIDs, DoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.VarianceOfVolume

Compute variance of volumes.

computeWeight(int) - Method in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood

Compute the weight from the number of steps needed.

computeWeightMatrix(int) - Static method in class elki.distance.colorhistogram.RGBHistogramQuadraticDistance

Compute weight matrix for a RGB color histogram

computeWeightMatrix(int, int, int) - Static method in class elki.distance.colorhistogram.HSBHistogramQuadraticDistance

Compute the weight matrix for HSB similarity.

computeWeights(CompactCircularMSTLayout3DPC.Node) - Method in class elki.visualization.parallel3d.layout.CompactCircularMSTLayout3DPC

Recursively assign node weights.

computeWeights(SimpleCircularMSTLayout3DPC.Node) - Method in class elki.visualization.parallel3d.layout.SimpleCircularMSTLayout3DPC

Recursively assign node weights.

computeWithinDistances(Relation<? extends NumberVector>, List<? extends Cluster<?>>, int) - Method in class elki.evaluation.clustering.internal.ConcordantPairsGammaTau

computeZijs(double[][], int) - Method in class elki.clustering.subspace.PROCLUS

Compute the z_ij values.

ConcatenateFilesDatabaseConnection - Class in elki.datasource

Database that will loading multiple files, concatenating the results.

ConcatenateFilesDatabaseConnection(List<URI>, Parser, List<? extends ObjectFilter>) - Constructor for class elki.datasource.ConcatenateFilesDatabaseConnection

Constructor.

ConcatenateFilesDatabaseConnection.Par - Class in elki.datasource

Parameterization class.

ConcatIt<O> - Class in elki.utilities.datastructures.iterator

Concatenate multiple iterators.

ConcatIt(It<? extends O>...) - Constructor for class elki.utilities.datastructures.iterator.ConcatIt

Constructor.

ConcordantPairsGammaTau - Class in elki.evaluation.clustering.internal

Compute the Gamma Criterion of a data set.

ConcordantPairsGammaTau(PrimitiveDistance<? super NumberVector>, NoiseHandling) - Constructor for class elki.evaluation.clustering.internal.ConcordantPairsGammaTau

Constructor.

ConcordantPairsGammaTau.Par - Class in elki.evaluation.clustering.internal

Parameterization class.

cond() - Method in class elki.math.linearalgebra.SingularValueDecomposition

Two norm condition number

condenseTree(IndexTreePath<E>, ArrayDeque<N>) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Condenses the tree after deletion of some nodes.

conditionalEntropyFirst() - Method in class elki.evaluation.clustering.Entropy

Get the conditional entropy of the first clustering (not normalized, 0 = equal).

conditionalEntropySecond() - Method in class elki.evaluation.clustering.Entropy

Get the conditional entropy of the first clustering (not normalized, 0 = equal).

confbase - Static variable in class elki.logging.LoggingConfiguration

Configuration base

Confidence - Class in elki.itemsetmining.associationrules.interest

Confidence interestingness measure, \( \tfrac{\text{support}(X \cup Y)}{\text{support}(X)} = \tfrac{P(X \cap Y)}{P(X)}=P(Y|X) \).

Confidence() - Constructor for class elki.itemsetmining.associationrules.interest.Confidence

Constructor.

CONFIDENCE_ID - Static variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Par

Mininum confidence.

config - Static variable in class elki.logging.LoggingConfiguration

Static instance of the configuration

configDelta(Parameterization) - Method in class elki.clustering.subspace.PreDeCon.Settings.Par

Configure the delta parameter.

configEpsilon(Parameterization) - Method in class elki.clustering.subspace.PreDeCon.Settings.Par

Configure the epsilon radius parameter.

CONFIGFILE_ID - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection.Par

Parameter to give the configuration file

configFilters(Parameterization) - Method in class elki.datasource.AbstractDatabaseConnection.Par

Get the filters parameter

configIndexFactory(Parameterization, Class<?>, Class<?>) - Method in class elki.similarity.AbstractIndexBasedSimilarity.Par

Get the index factory parameter.

configKappa(Parameterization) - Method in class elki.clustering.subspace.PreDeCon.Settings.Par

Configure the kappa parameter.

configLambda(Parameterization) - Method in class elki.clustering.subspace.PreDeCon.Settings.Par

Configure the delta parameter.

configMinPts(Parameterization) - Method in class elki.clustering.subspace.PreDeCon.Settings.Par

Configure the minPts aka "mu" parameter.

configParser(Parameterization, Class<?>, Class<?>) - Method in class elki.datasource.AbstractDatabaseConnection.Par

Get the parser parameter

ConfiguratorPanel - Class in elki.gui.configurator

A panel that contains configurators for parameters.

ConfiguratorPanel() - Constructor for class elki.gui.configurator.ConfiguratorPanel

Constructor.

configure(Parameterization) - Method in class elki.algorithm.DependencyDerivator.Par

configure(Parameterization) - Method in class elki.algorithm.KNNDistancesSampler.Par

configure(Parameterization) - Method in class elki.algorithm.KNNJoin.Par

configure(Parameterization) - Method in class elki.algorithm.statistics.AddSingleScale.Par

configure(Parameterization) - Method in class elki.algorithm.statistics.DistanceQuantileSampler.Par

configure(Parameterization) - Method in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par

configure(Parameterization) - Method in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Par

configure(Parameterization) - Method in class elki.application.cache.CacheDoubleDistanceKNNLists.Par

configure(Parameterization) - Method in class elki.application.cache.CacheDoubleDistanceRangeQueries.Par

configure(Parameterization) - Method in class elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Par

configure(Parameterization) - Method in class elki.application.cache.PrecomputeDistancesAsciiApplication.Par

configure(Parameterization) - Method in class elki.application.ClassifierHoldoutEvaluationTask.Par

configure(Parameterization) - Method in class elki.application.ConvertToBundleApplication.Par

configure(Parameterization) - Method in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par

configure(Parameterization) - Method in class elki.application.experiments.ORLibBenchmark.Par

configure(Parameterization) - Method in class elki.application.experiments.VisualizeGeodesicDistances.Par

configure(Parameterization) - Method in class elki.application.GeneratorXMLSpec.Par

configure(Parameterization) - Method in class elki.application.greedyensemble.ComputeKNNOutlierScores.Par

configure(Parameterization) - Method in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Par

configure(Parameterization) - Method in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par

configure(Parameterization) - Method in class elki.application.greedyensemble.VisualizePairwiseGainMatrix.Par

configure(Parameterization) - Method in class elki.application.KDDCLIApplication.Par

configure(Parameterization) - Method in class elki.clustering.BetulaLeafPreClustering.Par

configure(Parameterization) - Method in class elki.clustering.CFSFDP.Par

configure(Parameterization) - Method in class elki.clustering.correlation.CASH.Par

configure(Parameterization) - Method in class elki.clustering.correlation.COPAC.Par

configure(Parameterization) - Method in class elki.clustering.correlation.ERiC.Par

configure(Parameterization) - Method in class elki.clustering.correlation.FourC.Par

configure(Parameterization) - Method in class elki.clustering.correlation.FourC.Settings.Par

configure(Parameterization) - Method in class elki.clustering.correlation.HiCO.Par

configure(Parameterization) - Method in class elki.clustering.correlation.LMCLUS.Par

configure(Parameterization) - Method in class elki.clustering.correlation.ORCLUS.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.DBSCAN.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.GeneralizedDBSCAN.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.LSDBC.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.predicates.FourCCorePredicate.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.predicates.FourCNeighborPredicate.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.predicates.MinPtsCorePredicate.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.predicates.PreDeConCorePredicate.Par

configure(Parameterization) - Method in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.Par

configure(Parameterization) - Method in class elki.clustering.em.BetulaGMM.Par

configure(Parameterization) - Method in class elki.clustering.em.EM.Par

configure(Parameterization) - Method in class elki.clustering.em.KDTreeEM.Par

configure(Parameterization) - Method in class elki.clustering.em.models.BetulaDiagonalGaussianModelFactory.Par

configure(Parameterization) - Method in class elki.clustering.em.models.BetulaMultivariateGaussianModelFactory.Par

configure(Parameterization) - Method in class elki.clustering.em.models.BetulaSphericalGaussianModelFactory.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.birch.BIRCHKMeansPlusPlus.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.birch.BIRCHLeafClustering.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.birch.CFTree.Factory.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.CLINK.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.linkage.FlexibleBetaLinkage.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.OPTICSToHierarchical.Par

configure(Parameterization) - Method in class elki.clustering.hierarchical.SLINK.Par

configure(Parameterization) - Method in class elki.clustering.kcenter.GreedyKCenter.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.AbstractKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.BetulaLloydKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.FuzzyCMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.HamerlyKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.HartiganWongKMeans.Parameterizer

configure(Parameterization) - Method in class elki.clustering.kmeans.initialization.AbstractKMeansInitialization.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTrunk.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.initialization.FarthestPoints.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.initialization.KMC2.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.initialization.Predefined.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.initialization.SphericalAFKMC2.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.KMeansMinusMinus.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.SimplifiedElkanKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.SingleAssignmentKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmeans.YinYangKMeans.Par

configure(Parameterization) - Method in class elki.clustering.kmedoids.AlternatingKMedoids.Par

configure(Parameterization) - Method in class elki.clustering.kmedoids.CLARA.Par

configure(Parameterization) - Method in class elki.clustering.kmedoids.CLARANS.Par

configure(Parameterization) - Method in class elki.clustering.kmedoids.FastCLARA.Par

configure(Parameterization) - Method in class elki.clustering.kmedoids.FasterCLARA.Par

configure(Parameterization) - Method in class elki.clustering.kmedoids.FastPAM.Par

configure(Parameterization) - Method in class elki.clustering.kmedoids.initialization.AlternateRefinement.Par

configure(Parameterization) - Method in class elki.clustering.kmedoids.initialization.KMedoidsKMedoidsInitialization.Par

configure(Parameterization) - Method in class elki.clustering.kmedoids.PAM.Par

configure(Parameterization) - Method in class elki.clustering.kmedoids.SingleAssignmentKMedoids.Par

configure(Parameterization) - Method in class elki.clustering.meta.ExternalClustering.Par

configure(Parameterization) - Method in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Par

configure(Parameterization) - Method in class elki.clustering.optics.DeLiClu.Par

configure(Parameterization) - Method in class elki.clustering.optics.OPTICSXi.Par

configure(Parameterization) - Method in class elki.clustering.subspace.CLIQUE.Par

configure(Parameterization) - Method in class elki.clustering.subspace.DiSH.Par

configure(Parameterization) - Method in class elki.clustering.subspace.DOC.Par

configure(Parameterization) - Method in class elki.clustering.subspace.FastDOC.Par

configure(Parameterization) - Method in class elki.clustering.subspace.HiSC.Par

configure(Parameterization) - Method in class elki.clustering.subspace.P3C.Par

configure(Parameterization) - Method in class elki.clustering.subspace.PreDeCon.Par

configure(Parameterization) - Method in class elki.clustering.subspace.PreDeCon.Settings.Par

configure(Parameterization) - Method in class elki.clustering.subspace.PROCLUS.Par

configure(Parameterization) - Method in class elki.clustering.subspace.SUBCLU.Par

configure(Parameterization) - Method in class elki.clustering.trivial.ByLabelClustering.Par

configure(Parameterization) - Method in class elki.clustering.trivial.ByModelClustering.Par

configure(Parameterization) - Method in class elki.clustering.uncertain.CenterOfMassMetaClustering.Par

configure(Parameterization) - Method in class elki.clustering.uncertain.CKMeans.Par

configure(Parameterization) - Method in class elki.clustering.uncertain.FDBSCAN.Par

configure(Parameterization) - Method in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Par

configure(Parameterization) - Method in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par

configure(Parameterization) - Method in class elki.clustering.uncertain.UKMeans.Par

configure(Parameterization) - Method in class elki.data.projection.FeatureSelection.Par

configure(Parameterization) - Method in class elki.data.projection.NumericalFeatureSelection.Par

configure(Parameterization) - Method in class elki.data.projection.random.AbstractRandomProjectionFamily.Par

configure(Parameterization) - Method in class elki.data.projection.random.AchlioptasRandomProjectionFamily.Par

configure(Parameterization) - Method in class elki.data.projection.RandomProjection.Par

configure(Parameterization) - Method in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Par

configure(Parameterization) - Method in class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Par

configure(Parameterization) - Method in class elki.data.uncertain.uncertainifier.UniformUncertainifier.Par

configure(Parameterization) - Method in class elki.database.HashmapDatabase.Par

configure(Parameterization) - Method in class elki.database.StaticArrayDatabase.Par

configure(Parameterization) - Method in class elki.datasource.BundleDatabaseConnection.Par

configure(Parameterization) - Method in class elki.datasource.ConcatenateFilesDatabaseConnection.Par

configure(Parameterization) - Method in class elki.datasource.DBIDRangeDatabaseConnection.Par

configure(Parameterization) - Method in class elki.datasource.ExternalIDJoinDatabaseConnection.Par

configure(Parameterization) - Method in class elki.datasource.FileBasedDatabaseConnection.Par

configure(Parameterization) - Method in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.FixedDBIDsFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Par

configure(Parameterization) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization.Par

configure(Parameterization) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Par

configure(Parameterization) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Par

configure(Parameterization) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Par

configure(Parameterization) - Method in class elki.datasource.filter.normalization.instancewise.LengthNormalization.Par

configure(Parameterization) - Method in class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Par

configure(Parameterization) - Method in class elki.datasource.filter.selection.ByLabelFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.selection.FirstNStreamFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.selection.RandomSamplingStreamFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.selection.ShuffleObjectsFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Par

configure(Parameterization) - Method in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Par

configure(Parameterization) - Method in class elki.datasource.filter.transform.HistogramJitterFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.transform.PerturbationFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.typeconversions.ClassLabelFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.typeconversions.ExternalIDFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.typeconversions.SplitNumberVectorFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.typeconversions.UncertainifyFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.typeconversions.UncertainSplitFilter.Par

configure(Parameterization) - Method in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Par

configure(Parameterization) - Method in class elki.datasource.GeneratorXMLDatabaseConnection.Par

configure(Parameterization) - Method in class elki.datasource.InputStreamDatabaseConnection.Par

configure(Parameterization) - Method in class elki.datasource.LabelJoinDatabaseConnection.Par

configure(Parameterization) - Method in class elki.datasource.parser.AbstractStreamingParser.Par

configure(Parameterization) - Method in class elki.datasource.parser.ArffParser.Par

configure(Parameterization) - Method in class elki.datasource.parser.CSVReaderFormat.Par

configure(Parameterization) - Method in class elki.datasource.parser.LibSVMFormatParser.Par

configure(Parameterization) - Method in class elki.datasource.parser.NumberVectorLabelParser.Par

configure(Parameterization) - Method in class elki.datasource.parser.StringParser.Par

configure(Parameterization) - Method in class elki.datasource.parser.TermFrequencyParser.Par

configure(Parameterization) - Method in class elki.datasource.PresortedBlindJoinDatabaseConnection.Par

configure(Parameterization) - Method in class elki.datasource.RandomDoubleVectorDatabaseConnection.Par

configure(Parameterization) - Method in class elki.distance.adapter.AbstractSimilarityAdapter.Par

configure(Parameterization) - Method in class elki.distance.colorhistogram.HSBHistogramQuadraticDistance.Par

configure(Parameterization) - Method in class elki.distance.colorhistogram.RGBHistogramQuadraticDistance.Par

configure(Parameterization) - Method in class elki.distance.correlation.WeightedPearsonCorrelationDistance.Par

configure(Parameterization) - Method in class elki.distance.correlation.WeightedSquaredPearsonCorrelationDistance.Par

configure(Parameterization) - Method in class elki.distance.external.AsciiDistanceParser.Par

configure(Parameterization) - Method in class elki.distance.external.DiskCacheBasedDoubleDistance.Par

configure(Parameterization) - Method in class elki.distance.external.DiskCacheBasedFloatDistance.Par

configure(Parameterization) - Method in class elki.distance.external.FileBasedSparseDoubleDistance.Par

configure(Parameterization) - Method in class elki.distance.external.FileBasedSparseFloatDistance.Par

configure(Parameterization) - Method in class elki.distance.geo.DimensionSelectingLatLngDistance.Par

configure(Parameterization) - Method in class elki.distance.geo.LatLngDistance.Par

configure(Parameterization) - Method in class elki.distance.geo.LngLatDistance.Par

configure(Parameterization) - Method in class elki.distance.minkowski.LPIntegerNormDistance.Par

configure(Parameterization) - Method in class elki.distance.minkowski.LPNormDistance.Par

configure(Parameterization) - Method in class elki.distance.minkowski.SparseLPNormDistance.Par

configure(Parameterization) - Method in class elki.distance.minkowski.WeightedEuclideanDistance.Par

configure(Parameterization) - Method in class elki.distance.minkowski.WeightedLPNormDistance.Par

configure(Parameterization) - Method in class elki.distance.minkowski.WeightedManhattanDistance.Par

configure(Parameterization) - Method in class elki.distance.minkowski.WeightedMaximumDistance.Par

configure(Parameterization) - Method in class elki.distance.minkowski.WeightedSquaredEuclideanDistance.Par

configure(Parameterization) - Method in class elki.distance.SharedNearestNeighborJaccardDistance.Par

configure(Parameterization) - Method in class elki.distance.subspace.AbstractDimensionsSelectingDistance.Par

configure(Parameterization) - Method in class elki.distance.subspace.OnedimensionalDistance.Par

configure(Parameterization) - Method in class elki.distance.subspace.SubspaceLPNormDistance.Par

configure(Parameterization) - Method in class elki.distance.timeseries.AbstractEditDistance.Par

configure(Parameterization) - Method in class elki.distance.timeseries.EDRDistance.Par

configure(Parameterization) - Method in class elki.distance.timeseries.ERPDistance.Par

configure(Parameterization) - Method in class elki.distance.timeseries.LCSSDistance.Par

configure(Parameterization) - Method in class elki.distance.WeightedCanberraDistance.Par

configure(Parameterization) - Method in class elki.evaluation.classification.holdout.DisjointCrossValidation.Par

configure(Parameterization) - Method in class elki.evaluation.classification.holdout.RandomizedCrossValidation.Par

configure(Parameterization) - Method in class elki.evaluation.classification.holdout.RandomizedHoldout.Par

configure(Parameterization) - Method in class elki.evaluation.classification.holdout.StratifiedCrossValidation.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.EvaluateClustering.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.internal.CIndex.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.internal.ClusterRadius.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.internal.ConcordantPairsGammaTau.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.internal.DaviesBouldinIndex.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.internal.DBCV.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.internal.PBMIndex.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.internal.Silhouette.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.internal.SimplifiedSilhouette.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.internal.SquaredErrors.Par

configure(Parameterization) - Method in class elki.evaluation.clustering.internal.VarianceRatioCriterion.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.ComputeOutlierHistogram.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.JudgeOutlierScores.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierPrecisionRecallCurve.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierRankingEvaluation.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierROCCurve.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierSmROCCurve.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierThresholdClustering.Par

configure(Parameterization) - Method in class elki.evaluation.scores.PrecisionAtKEvaluation.Par

configure(Parameterization) - Method in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Par

configure(Parameterization) - Method in class elki.index.laesa.LAESA.Factory.Par

configure(Parameterization) - Method in class elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily.Par

configure(Parameterization) - Method in class elki.index.lsh.hashfamilies.CosineHashFunctionFamily.Par

configure(Parameterization) - Method in class elki.index.lsh.InMemoryLSHIndex.Par

configure(Parameterization) - Method in class elki.index.PagedIndexFactory.Par

configure(Parameterization) - Method in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.Par

configure(Parameterization) - Method in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Par

configure(Parameterization) - Method in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Par

configure(Parameterization) - Method in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Par

configure(Parameterization) - Method in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Par

configure(Parameterization) - Method in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Par

configure(Parameterization) - Method in class elki.index.tree.betula.CFTree.Factory.Par

configure(Parameterization) - Method in class elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Par

configure(Parameterization) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Par

configure(Parameterization) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory.Par

configure(Parameterization) - Method in class elki.index.tree.metrical.vptree.GNAT.Factory.Par

configure(Parameterization) - Method in class elki.index.tree.metrical.vptree.VPTree.Factory.Par

configure(Parameterization) - Method in class elki.index.tree.spatial.kd.MemoryKDTree.Factory.Par

configure(Parameterization) - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Par

configure(Parameterization) - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory.Par

configure(Parameterization) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory.Par

configure(Parameterization) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Par

configure(Parameterization) - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Par

configure(Parameterization) - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Par

configure(Parameterization) - Method in class elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Par

configure(Parameterization) - Method in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Par

configure(Parameterization) - Method in class elki.index.vafile.PartialVAFile.Factory.Par

configure(Parameterization) - Method in class elki.index.vafile.VAFile.Factory.Par

configure(Parameterization) - Method in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm.Par

configure(Parameterization) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par

configure(Parameterization) - Method in class elki.KDDTask.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.AutotuningPCA.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.filter.DropEigenPairFilter.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.filter.SignificantEigenPairFilter.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.filter.WeakEigenPairFilter.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.PCARunner.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Par

configure(Parameterization) - Method in class elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder.Par

configure(Parameterization) - Method in class elki.math.statistics.dependence.HiCSDependence.Par

configure(Parameterization) - Method in class elki.math.statistics.dependence.MCDEDependence.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.BetaDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.CauchyDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.ChiDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.ChiSquaredDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.ConstantDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.ExpGammaDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.ExponentialDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.GammaDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.GeneralizedParetoDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.GumbelDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.HaltonUniformDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.InverseGaussianDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.KappaDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.LaplaceDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.LogGammaDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.LogisticDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.LogLogisticDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.LogNormalDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.NormalDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.PoissonDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.RayleighDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.StudentsTDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.UniformDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.distribution.WeibullDistribution.Par

configure(Parameterization) - Method in class elki.math.statistics.intrinsicdimensionality.LPCAEstimator.Par

configure(Parameterization) - Method in class elki.outlier.anglebased.ABOD.Par

configure(Parameterization) - Method in class elki.outlier.anglebased.FastABOD.Par

configure(Parameterization) - Method in class elki.outlier.anglebased.LBABOD.Par

configure(Parameterization) - Method in class elki.outlier.clustering.DBSCANOutlierDetection.Par

configure(Parameterization) - Method in class elki.outlier.clustering.EMOutlier.Par

configure(Parameterization) - Method in class elki.outlier.clustering.GLOSH.Par

configure(Parameterization) - Method in class elki.outlier.clustering.KMeansMinusMinusOutlierDetection.Par

configure(Parameterization) - Method in class elki.outlier.clustering.NoiseAsOutliers.Par

configure(Parameterization) - Method in class elki.outlier.COP.Par

configure(Parameterization) - Method in class elki.outlier.density.IsolationForest.Par

configure(Parameterization) - Method in class elki.outlier.distance.AbstractDBOutlier.Par

configure(Parameterization) - Method in class elki.outlier.distance.DBOutlierDetection.Par

configure(Parameterization) - Method in class elki.outlier.distance.KNNDD.Par

configure(Parameterization) - Method in class elki.outlier.distance.KNNOutlier.Par

configure(Parameterization) - Method in class elki.outlier.distance.KNNWeightOutlier.Par

configure(Parameterization) - Method in class elki.outlier.distance.LocalIsolationCoefficient.Par

configure(Parameterization) - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection.Par

configure(Parameterization) - Method in class elki.outlier.GaussianModel.Par

configure(Parameterization) - Method in class elki.outlier.GaussianUniformMixture.Par

configure(Parameterization) - Method in class elki.outlier.intrinsic.IDOS.Par

configure(Parameterization) - Method in class elki.outlier.intrinsic.LID.Par

configure(Parameterization) - Method in class elki.outlier.lof.ALOCI.Par

configure(Parameterization) - Method in class elki.outlier.lof.FlexibleLOF.Par

configure(Parameterization) - Method in class elki.outlier.lof.INFLO.Par

configure(Parameterization) - Method in class elki.outlier.lof.LDOF.Par

configure(Parameterization) - Method in class elki.outlier.meta.ExternalDoubleOutlierScore.Par

configure(Parameterization) - Method in class elki.outlier.meta.FeatureBagging.Par

configure(Parameterization) - Method in class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par

configure(Parameterization) - Method in class elki.outlier.meta.SimpleOutlierEnsemble.Par

configure(Parameterization) - Method in class elki.outlier.OPTICSOF.Par

configure(Parameterization) - Method in class elki.outlier.SimpleCOP.Par

configure(Parameterization) - Method in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Par

configure(Parameterization) - Method in class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Par

configure(Parameterization) - Method in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Par

configure(Parameterization) - Method in class elki.outlier.subspace.AbstractAggarwalYuOutlier.Par

configure(Parameterization) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.Par

configure(Parameterization) - Method in class elki.outlier.subspace.OutRankS1.Par

configure(Parameterization) - Method in class elki.outlier.subspace.OUTRES.Par

configure(Parameterization) - Method in class elki.outlier.subspace.SOD.Par

configure(Parameterization) - Method in class elki.outlier.trivial.ByLabelOutlier.Par

configure(Parameterization) - Method in class elki.outlier.trivial.TrivialGeneratedOutlier.Par

configure(Parameterization) - Method in class elki.persistent.LRUCachePageFileFactory.Par

configure(Parameterization) - Method in class elki.projection.GaussianAffinityMatrixBuilder.Par

configure(Parameterization) - Method in class elki.projection.IntrinsicNearestNeighborAffinityMatrixBuilder.Par

configure(Parameterization) - Method in class elki.projection.PerplexityAffinityMatrixBuilder.Par

configure(Parameterization) - Method in class elki.result.AutomaticVisualization.Par

configure(Parameterization) - Method in class elki.result.ClusteringVectorDumper.Par

configure(Parameterization) - Method in class elki.result.ExportVisualizations.Par

configure(Parameterization) - Method in class elki.result.KMLOutputHandler.Par

configure(Parameterization) - Method in class elki.result.ResultWriter.Par

configure(Parameterization) - Method in class elki.similarity.kernel.LaplaceKernel.Par

configure(Parameterization) - Method in class elki.similarity.kernel.PolynomialKernel.Par

configure(Parameterization) - Method in class elki.similarity.kernel.RadialBasisFunctionKernel.Par

configure(Parameterization) - Method in class elki.similarity.kernel.RationalQuadraticKernel.Par

configure(Parameterization) - Method in class elki.similarity.kernel.SigmoidKernel.Par

configure(Parameterization) - Method in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Par

configure(Parameterization) - Method in class elki.timeseries.SigniTrendChangeDetection.Par

configure(Parameterization) - Method in class elki.utilities.ensemble.EnsembleVotingMedian.Par

configure(Parameterization) - Method in interface elki.utilities.optionhandling.Parameterizer

Configure the class.

configure(Parameterization) - Method in class elki.utilities.referencepoints.AxisBasedReferencePoints.Par

configure(Parameterization) - Method in class elki.utilities.referencepoints.GridBasedReferencePoints.Par

configure(Parameterization) - Method in class elki.utilities.referencepoints.RandomGeneratedReferencePoints.Par

configure(Parameterization) - Method in class elki.utilities.referencepoints.RandomSampleReferencePoints.Par

configure(Parameterization) - Method in class elki.utilities.referencepoints.StarBasedReferencePoints.Par

configure(Parameterization) - Method in class elki.utilities.scaling.ClipScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.GammaScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.COPOutlierScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.OutlierGammaScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.StandardDeviationScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.TopKOutlierScaling.Par

configure(Parameterization) - Method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC.Par

configure(Parameterization) - Method in class elki.visualization.projector.HistogramFactory.Par

configure(Parameterization) - Method in class elki.visualization.projector.ScatterPlotFactory.Par

configure(Parameterization) - Method in class elki.visualization.VisualizerParameterizer.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Par

configure(Parameterization) - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.Par

configure(Parameterization) - Method in class elki.workflow.AlgorithmStep.Par

configure(Parameterization) - Method in class elki.workflow.EvaluationStep.Par

configure(Parameterization) - Method in class elki.workflow.InputStep.Par

configure(Parameterization) - Method in class elki.workflow.LoggingStep.Par

configure(Parameterization) - Method in class elki.workflow.OutputStep.Par

configure(Parameterization) - Method in class tutorial.clustering.CFSFDP.Par

configure(Parameterization) - Method in class tutorial.clustering.SameSizeKMeans.Par

configure(Parameterization) - Method in class tutorial.distancefunction.MultiLPNorm.Par

configureInformationCriterion(Parameterization) - Method in class elki.clustering.kmeans.GMeans.Par

configurePopup() - Method in class elki.gui.util.TreePopup

Configure the popup display.

configureStep(Parameterization) - Method in class elki.gui.multistep.panels.AlgorithmTabPanel

configureStep(Parameterization) - Method in class elki.gui.multistep.panels.EvaluationTabPanel

configureStep(Parameterization) - Method in class elki.gui.multistep.panels.InputTabPanel

configureStep(Parameterization) - Method in class elki.gui.multistep.panels.LoggingTabPanel

configureStep(Parameterization) - Method in class elki.gui.multistep.panels.OutputTabPanel

configureStep(Parameterization) - Method in class elki.gui.multistep.panels.ParameterTabPanel

Configure this step with the given parameters.

confusion - Variable in class elki.evaluation.classification.ConfusionMatrix

Holds the confusion matrix.

confusionmatrix - Variable in class elki.evaluation.classification.ConfusionMatrixEvaluationResult

Holds the confusion matrix.

ConfusionMatrix - Class in elki.evaluation.classification

Provides a confusion matrix with some prediction performance measures that can be derived from a confusion matrix.

ConfusionMatrix(ArrayList<ClassLabel>, int[][]) - Constructor for class elki.evaluation.classification.ConfusionMatrix

Provides a confusion matrix for the given values.

ConfusionMatrixEvaluationResult - Class in elki.evaluation.classification

Provides the prediction performance measures for a classifier based on the confusion matrix.

ConfusionMatrixEvaluationResult(ConfusionMatrix, String) - Constructor for class elki.evaluation.classification.ConfusionMatrixEvaluationResult

Provides an evaluation based on the given confusion matrix.

connect() - Method in class elki.parallel.ParallelCore

Connect to the executor.

connected - Variable in class elki.parallel.ParallelCore

Number of connected submitters.

connectInput(SharedDouble) - Method in class elki.parallel.processor.DoubleMinMaxProcessor

Connect an input channel.

connectInput(SharedDouble) - Method in class elki.parallel.processor.WriteDoubleDataStoreProcessor

Connect the input variable

connectInput(SharedInteger) - Method in class elki.parallel.processor.WriteIntegerDataStoreProcessor

Connect the input variable

connectInput(SharedObject<T>) - Method in class elki.parallel.processor.WriteDataStoreProcessor

Connect the data source

connectKNNInput(SharedObject<? extends KNNList>) - Method in class elki.outlier.distance.parallel.KNNWeightProcessor

Connect the input channel.

connectKNNInput(SharedObject<? extends KNNList>) - Method in class elki.parallel.processor.KDistanceProcessor

Connect the input channel.

connectKNNOutput(SharedObject<KNNList>) - Method in class elki.parallel.processor.KNNProcessor

Connect the output channel.

connectOutput(SharedDouble) - Method in class elki.parallel.processor.AbstractDoubleProcessor

Connect the output variable.

consequent - Variable in class elki.itemsetmining.associationrules.AssociationRule

Consequent itemset

conservativeApproximation - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry

The conservative approximation.

conservativeApproximation - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry

The conservative approximation.

conservativeKnnDistanceApproximation(int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode

Determines and returns the conservative approximation for the knn distances of this node as the maximum of the conservative approximations of all entries.

constant - Variable in class elki.math.statistics.distribution.ConstantDistribution.Par

Parameters.

CONSTANT - elki.clustering.correlation.cash.ParameterizationFunction.ExtremumType

Constant.

CONSTANT_ID - Static variable in class elki.math.statistics.distribution.ConstantDistribution.Par

Constant value parameter

ConstantDistribution - Class in elki.math.statistics.distribution

Pseudo distribution, that has a unique constant value.

ConstantDistribution(double) - Constructor for class elki.math.statistics.distribution.ConstantDistribution

Constructor.

ConstantDistribution.Par - Class in elki.math.statistics.distribution

Parameterization class

ConstantWeight - Class in elki.math.linearalgebra.pca.weightfunctions

Constant weight function.

ConstantWeight() - Constructor for class elki.math.linearalgebra.pca.weightfunctions.ConstantWeight

constantZero(List<V>, AttributeWiseCDFNormalization.Adapter) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization

Test if an attribute is constant zero.

CONSTR - elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.DimensionState

ConstrainedQuadraticProblemSolver - Class in elki.math.linearalgebra

Solve a constrained quadratic equation in the form \( \tfrac12 x^T A x + b^T x + c \) constrained by a bounding box.

ConstrainedQuadraticProblemSolver(int) - Constructor for class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver

Constructor.

ConstrainedQuadraticProblemSolver.DimensionState - Enum in elki.math.linearalgebra

Describes the calculation state of a Dimension

ConstrainedQuadraticProblemSolver.ProblemData - Class in elki.math.linearalgebra

Contains arrays for a specific size needed for the problem calculation using this object saves the creation of all those arrays, because we can just reuse them.

constraints - Variable in class elki.utilities.optionhandling.constraints.ListEachNumberConstraint

Constraints

constraints - Variable in class elki.utilities.optionhandling.parameters.AbstractParameter

Holds parameter constraints for this parameter.

constraintValue - Variable in class elki.utilities.optionhandling.constraints.AbstractNumberConstraint

The constraint value.

constructOneSignatures(SetDBIDs[][], long[][]) - Method in class elki.clustering.subspace.P3C

Construct the 1-signatures by merging adjacent dense bins.

containedIn(SparseNumberVector) - Method in class elki.itemsetmining.DenseItemset

containedIn(SparseNumberVector) - Method in class elki.itemsetmining.Itemset

Test whether the itemset is contained in a bit vector.

containedIn(SparseNumberVector) - Method in class elki.itemsetmining.OneItemset

containedIn(SparseNumberVector) - Method in class elki.itemsetmining.SmallDenseItemset

containedTest(IndexTreePath<E>, N, SpatialComparable) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Test on whether or not any child of node contains mbr.

contains(double[], double[], double[]) - Static method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver

Checks if the point is inside or on the bounds of this bounding box

contains(long[]) - Method in class elki.data.BitVector

Returns whether this BitVector contains all bits that are set to true in the specified BitSet.

contains(NumberVector) - Method in class elki.clustering.subspace.clique.CLIQUEUnit

Returns true, if the intervals of this unit contain the specified feature vector.

contains(SpatialComparable, double[]) - Static method in class elki.data.spatial.SpatialUtil

Returns true if this SpatialComparable contains the given point, false otherwise.

contains(SpatialComparable, SpatialComparable) - Static method in class elki.data.spatial.SpatialUtil

Returns true if the first SpatialComparable contains the second SpatialComparable, false otherwise.

contains(DBIDRef) - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.COPACModel

contains(DBIDRef) - Method in interface elki.database.ids.DBIDs

Test whether an ID is contained.

contains(DBIDRef) - Method in interface elki.database.ids.DoubleDBIDHeap

Check if an object is already in the heap (slow scan).

contains(DBIDRef) - Method in class elki.database.ids.EmptyDBIDs

contains(DBIDRef) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs

contains(DBIDRef) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice

contains(DBIDRef) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs

contains(DBIDRef) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice

contains(DBIDRef) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList

contains(DBIDRef) - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap

contains(DBIDRef) - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap

contains(DBIDRef) - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList

contains(DBIDRef) - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs

contains(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBID

contains(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList

contains(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDPair

contains(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice

contains(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDRange

contains(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDVar

contains(DBIDRef) - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs

contains(DBIDRef) - Method in class elki.database.ids.integer.UnmodifiableIntegerDBIDs

contains(Class<?>) - Static method in class elki.utilities.ELKIServiceRegistry

Test if a registry entry has already been created.

contains(String) - Method in class elki.visualization.css.CSSClassManager

Check if a name is already used in the classes.

contains(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy

contains(O) - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy

Check if an object is part of a hierarchy.

containsIndex(int[], int) - Static method in class elki.projection.NearestNeighborAffinityMatrixBuilder

Check if the index array contains i.

containsKey(double) - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap

Contains operation for a key (slow: with a linear scan).

containsKey(double) - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

containsKey(double) - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap

containsKey(double) - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap

Contains operation for a key (slow: with a linear scan).

containsKey(double) - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap

containsKey(double) - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap

containsKey(double) - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap

Contains operation for a key (slow: with a linear scan).

containsKey(double) - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap

containsKey(double) - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap

containsKey(int) - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap

Contains operation for a key (slow: with a linear scan).

containsKey(int) - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap

containsKey(int) - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap

containsLeftNeighbor(CLIQUEUnit, int) - Method in class elki.clustering.subspace.clique.CLIQUEUnit

Returns true if this unit is the left neighbor of the given unit.

containsPoint2D(double[]) - Method in class elki.data.spatial.Polygon

Point in polygon test, based on

containsRightNeighbor(CLIQUEUnit, int) - Method in class elki.clustering.subspace.clique.CLIQUEUnit

Returns true if this unit is the right neighbor of the given unit.

containsValue(int) - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap

Contains operation for a value (slow: with a linear scan).

containsValue(int) - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

containsValue(int) - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap

containsValue(long) - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap

Contains operation for a value (slow: with a linear scan).

containsValue(long) - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap

containsValue(long) - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap

containsValue(V) - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap

Contains operation for a value (slow: with a linear scan).

containsValue(V) - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap

containsValue(V) - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap

containsValue(V) - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap

Contains operation for a value (slow: with a linear scan).

containsValue(V) - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap

containsValue(V) - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap

content - Variable in class elki.database.relation.MaterializedDoubleRelation

Map to hold the objects of the database.

content - Variable in class elki.database.relation.MaterializedRelation

Map to hold the objects of the database.

contentChanged(DataStoreEvent) - Method in interface elki.database.datastore.DataStoreListener

Invoked after objects of the datastore have been updated, inserted or removed in some way.

contentChanged(DataStoreEvent) - Method in class elki.visualization.gui.SelectionTableWindow

contentChanged(DataStoreEvent) - Method in class elki.visualization.VisualizerContext

Proxy datastore event to child listeners.

contentChanged(DataStoreEvent) - Method in class elki.visualization.visualizers.AbstractVisualization

contents - Variable in class elki.datasource.bundle.SingleObjectBundle

Storing the real contents.

context - Variable in class elki.result.ExportVisualizations

Visualizer context

context - Variable in class elki.visualization.gui.detail.DetailView

The visualizer context

context - Variable in class elki.visualization.gui.overview.OverviewPlot

Visualizer context

context - Variable in class elki.visualization.gui.ResultWindow

Visualizer context

context - Variable in class elki.visualization.gui.SelectionTableWindow

Our context

context - Variable in class elki.visualization.visualizers.AbstractVisualization

Our context

context - Variable in class elki.visualization.visualizers.actions.ClusterStyleAction.SetStyleAction

Visualization context.

context - Variable in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.SwitchModeAction

Visualizer context.

context - Variable in class elki.visualization.visualizers.visunproj.DendrogramVisualization.SwitchStyleAction

Visualizer context.

contingency - Variable in class elki.evaluation.clustering.ClusterContingencyTable

Contingency matrix

continueToMargin(double[], double[]) - Method in class elki.visualization.projections.CanvasSize

Continue a line along a given direction to the margin.

contmat - Variable in class elki.evaluation.clustering.EvaluateClustering.ScoreResult

Cluster contingency table

contrast - Variable in class elki.outlier.meta.HiCS.HiCSSubspace

The HiCS contrast value.

controlsize - Variable in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance

Active area size

convergence - Variable in class elki.clustering.affinitypropagation.AffinityPropagation

Terminate after 10 iterations with no changes.

convergence(int, int, boolean, boolean) - Method in class elki.math.linearalgebra.SingularValueDecomposition

CONVERGENCE - Static variable in class elki.outlier.subspace.AggarwalYuEvolutionary

At which gene homogenity do we have convergence?

convertedType(SimpleTypeInformation<?>, NumberVector.Factory<V>) - Method in class elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter

Get the output type from the input type after conversion.

convertedType(SimpleTypeInformation<NumberVector>) - Method in class elki.datasource.filter.typeconversions.UncertainSplitFilter

convertedType(SimpleTypeInformation<NumberVector>) - Method in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter

convertedType(SimpleTypeInformation<I>) - Method in class elki.datasource.filter.AbstractConversionFilter

Get the output type from the input type after conversion.

convertedType(SimpleTypeInformation<I>) - Method in class elki.datasource.filter.AbstractStreamConversionFilter

Get the output type from the input type after conversion.

convertedType(SimpleTypeInformation<I>) - Method in class elki.datasource.filter.transform.ProjectionFilter

convertedType(SimpleTypeInformation<O>) - Method in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.InstanceRankNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.LengthNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.transform.HistogramJitterFilter

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.transform.LatLngToECEFFilter

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.transform.LngLatToECEFFilter

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.transform.PerturbationFilter

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.typeconversions.MultivariateTimeSeriesFilter

convertedType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.typeconversions.SparseVectorFieldFilter

convertNeighbors(DBIDRange, DBIDRef, boolean, KNNList, DoubleArray, IntegerArray) - Method in class elki.projection.NearestNeighborAffinityMatrixBuilder

Load a neighbor query result into a double and and integer array, also removing the query point.

convertNeighbors(DBIDRange, DBIDRef, boolean, KNNList, DoubleArray, IntegerArray, Mean) - Method in class elki.projection.IntrinsicNearestNeighborAffinityMatrixBuilder

Load a neighbor query result into a double and and integer array, also removing the query point.

convertOutput(ClusterMergeHistoryBuilder, ArrayDBIDs, DBIDDataStore, DoubleDataStore) - Static method in class elki.clustering.hierarchical.SLINK

Convert a SLINK pointer representation to a cluster merge history.

ConvertToBundleApplication - Class in elki.application

Convert an input file to the more efficient ELKI bundle format.

ConvertToBundleApplication(DatabaseConnection, Path) - Constructor for class elki.application.ConvertToBundleApplication

Constructor.

ConvertToBundleApplication.Par - Class in elki.application

Parameterization class.

convertToMergeList(ArrayDBIDs, DoubleLongHeap, ClusterMergeHistoryBuilder) - Method in class elki.clustering.hierarchical.AbstractHDBSCAN

Convert spanning tree to a pointer representation.

ConvertToStringView - Class in elki.database.relation

Representation adapter that uses toString() to produce a string representation.

ConvertToStringView(Relation<?>) - Constructor for class elki.database.relation.ConvertToStringView

Constructor.

ConvexHull - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Holds the lower and upper hull for some values.

ConvexHull(double[], double[]) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull

Creates a new convex hull for the specified distances.

Conviction - Class in elki.itemsetmining.associationrules.interest

Conviction interestingness measure: \(\frac{P(X) P(\neg Y)}{P(X\cap\neg Y)}\).

Conviction() - Constructor for class elki.itemsetmining.associationrules.interest.Conviction

Constructor.

COORD - Static variable in class elki.datasource.parser.SimplePolygonParser

Pattern to catch coordinates

coordinatesToHilbert(byte[], int, int) - Static method in class elki.math.spacefillingcurves.HilbertSpatialSorter

Interleave one byte per dimension (using the "bitsperdim" highest bits) to a hilbert address.

coordinatesToHilbert(int[], int, int) - Static method in class elki.math.spacefillingcurves.HilbertSpatialSorter

Interleave one int per dimension (using the "bitsperdim" highest bits) to a hilbert address.

coordinatesToHilbert(long[], int, int) - Static method in class elki.math.spacefillingcurves.HilbertSpatialSorter

Interleave one long per dimension (using the "bitsperdim" highest bits) to a hilbert address.

coordinatesToHilbert(short[], int, int) - Static method in class elki.math.spacefillingcurves.HilbertSpatialSorter

Interleave one short per dimension (using the "bitsperdim" highest bits) to a hilbert address.

coordref - Variable in class elki.visualization.batikutil.DragableArea

The coordinate system node.

coords - Variable in class elki.datasource.parser.SimplePolygonParser

(Reused) storage of coordinates.

coords - Variable in class elki.outlier.density.HySortOD.Hypercube

Hypercube coordinates.

COP<V extends NumberVector> - Class in elki.outlier

Correlation outlier probability: Outlier Detection in Arbitrarily Oriented Subspaces

COP(Distance<? super V>, int, PCARunner, double, COP.DistanceDist, boolean) - Constructor for class elki.outlier.COP

Constructor.

COP_DIM - Static variable in class elki.outlier.COP

Result name for the dimensionality.

COP_ERRORVEC - Static variable in class elki.outlier.COP

Result name for the error vectors.

COP_SCORES - Static variable in class elki.outlier.COP

Result name for the COP outlier scores.

COP.DistanceDist - Enum in elki.outlier

Score type.

COP.Par<V extends NumberVector> - Class in elki.outlier

Parameterization class.

COPAC - Class in elki.clustering.correlation

COPAC is an algorithm to partition a database according to the correlation dimension of its objects and to then perform an arbitrary clustering algorithm over the partitions.

COPAC(COPAC.Settings) - Constructor for class elki.clustering.correlation.COPAC

Constructor.

COPAC.Par - Class in elki.clustering.correlation

Parameterization class.

COPAC.Settings - Class in elki.clustering.correlation

Class to wrap the COPAC settings.

COPACModel(int, SetDBIDs) - Constructor for class elki.clustering.dbscan.predicates.COPACNeighborPredicate.COPACModel

COPAC model.

COPACNeighborPredicate - Class in elki.clustering.dbscan.predicates

COPAC neighborhood predicate.

COPACNeighborPredicate(COPAC.Settings) - Constructor for class elki.clustering.dbscan.predicates.COPACNeighborPredicate

Constructor.

COPACNeighborPredicate.COPACModel - Class in elki.clustering.dbscan.predicates

Model used by COPAC for core point property.

COPACNeighborPredicate.Instance - Class in elki.clustering.dbscan.predicates

Instance for a particular data set.

COPACNeighborPredicate.Par - Class in elki.clustering.dbscan.predicates

Parameterization class.

COPOutlierScaling - Class in elki.utilities.scaling.outlier

CDF based outlier score scaling.

COPOutlierScaling(double) - Constructor for class elki.utilities.scaling.outlier.COPOutlierScaling

Constructor.

COPOutlierScaling.Par - Class in elki.utilities.scaling.outlier

Parameterization class.

COPVectorVisualization - Class in elki.visualization.visualizers.scatterplot.outlier

Visualize error vectors as produced by COP.

COPVectorVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization

Constructor.

COPVectorVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.outlier

Visualize error vectors as produced by COP.

copy(double[]) - Static method in class elki.data.DoubleVector

Copy a double array into a new vector.

copy(double[]) - Static method in class elki.math.linearalgebra.VMath

Returns a copy of this vector.

copy(double[][]) - Static method in class elki.math.linearalgebra.VMath

Make a deep copy of a matrix.

copy(long[]) - Static method in class elki.utilities.datastructures.BitsUtil

Copy a bitset

copy(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil

Copy a bitset.

copy(long[], int, int) - Static method in class elki.utilities.datastructures.BitsUtil

Copy a bitset.

copyAttributes(Document, Element, Element) - Method in class elki.utilities.xml.DOMCloner

Copy the attributes from an existing node to a new node.

copyFrom(SweepHullDelaunay2D.Triangle) - Method in class elki.math.geometry.SweepHullDelaunay2D.Triangle

Copy the values from another triangle.

copyMeans(double[][], double[][]) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance

Copy means

core - Variable in class elki.clustering.dbscan.util.Border

Cluster number

core - Variable in class elki.data.model.CoreObjectsModel

Objects that are part of the cluster core.

Core - Class in elki.clustering.dbscan.util

Core point assignment.

Core(int) - Constructor for class elki.clustering.dbscan.util.Core

Constructor.

coredist - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance

Core distances, if available.

coredist - Variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance

Core distances (if available, may be null).

coredists - Variable in class elki.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter

Core distance storage.

coredists - Variable in class elki.clustering.hierarchical.ClusterDensityMergeHistory

Core distance information.

coremodel - Variable in class elki.clustering.dbscan.GeneralizedDBSCAN

Track which objects are "core" objects.

coremodel - Variable in class elki.clustering.dbscan.GeneralizedDBSCAN.Instance

Track which objects are "core" objects.

coremodel - Variable in class elki.clustering.dbscan.GeneralizedDBSCAN.Par

Track which objects are "core" objects.

coremodel - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN

Track which objects are "core" objects.

coremodel - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance

Track which objects are "core" objects.

coremodel - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Par

Track which objects are "core" objects.

COREMODEL_ID - Static variable in class elki.clustering.dbscan.GeneralizedDBSCAN.Par

Flag to keep track of core points.

COREMODEL_ID - Static variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Par

Flag to keep track of core points.

CoreObjectsModel - Class in elki.data.model

Cluster model using "core" objects.

CoreObjectsModel(DBIDs) - Constructor for class elki.data.model.CoreObjectsModel

Constructor.

corepred - Variable in class elki.clustering.dbscan.GeneralizedDBSCAN

The core predicate factory.

corepred - Variable in class elki.clustering.dbscan.GeneralizedDBSCAN.Instance

The core object property

corepred - Variable in class elki.clustering.dbscan.GeneralizedDBSCAN.Par

Core point predicate.

corepred - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN

The core predicate factory.

corepred - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance

The core object property

corepred - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Par

Core point predicate.

COREPRED_ID - Static variable in class elki.clustering.dbscan.GeneralizedDBSCAN.Par

Parameter for core predicate.

COREPRED_ID - Static variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Par

Parameter for core predicate.

CorePredicate<T> - Interface in elki.clustering.dbscan.predicates

Predicate for GeneralizedDBSCAN to evaluate whether a point is a core point or not.

CorePredicate.Instance<T> - Interface in elki.clustering.dbscan.predicates

Instance for a particular data set.

cores - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance

Core identifier objects (shared to conserve memory).

cores - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance

Core objects (shared)

correctedRanks(NumberArrayAdapter<?, A>, A, int) - Method in interface elki.math.statistics.dependence.mcde.MCDETest

Compute the corrected rank index.

correctedRanks(NumberArrayAdapter<?, A>, A, int) - Method in class elki.math.statistics.dependence.mcde.MWPTest

correction - Variable in class elki.math.statistics.dependence.mcde.MWPTest.MWPRanking

Correction values

CorrelationAnalysisSolution - Class in elki.data.model

A solution of correlation analysis is a matrix of equations describing the dependencies.

CorrelationAnalysisSolution(LinearEquationSystem, Relation<? extends NumberVector>, double[][], double[][], double[][], double[]) - Constructor for class elki.data.model.CorrelationAnalysisSolution

Provides a new CorrelationAnalysisSolution holding the specified matrix.

CorrelationAnalysisSolution(LinearEquationSystem, Relation<? extends NumberVector>, double[][], double[][], double[][], double[], NumberFormat) - Constructor for class elki.data.model.CorrelationAnalysisSolution

Provides a new CorrelationAnalysisSolution holding the specified matrix and number format.

CorrelationClusterOrder - Class in elki.clustering.optics

Cluster order entry for correlation-based OPTICS variants.

CorrelationClusterOrder(ArrayModifiableDBIDs, WritableDoubleDataStore, WritableDBIDDataStore, WritableIntegerDataStore) - Constructor for class elki.clustering.optics.CorrelationClusterOrder

Constructor.

correlationDimensionality - Variable in class elki.data.model.CorrelationAnalysisSolution

The dimensionality of the correlation.

correlationDistance(PCAFilteredResult, PCAFilteredResult, int) - Method in class elki.clustering.correlation.HiCO

Computes the correlation distance between the two subspaces defined by the specified PCAs.

CorrelationModel - Class in elki.data.model

Cluster model using a filtered PCA result and an centroid.

CorrelationModel(PCAFilteredResult, double[]) - Constructor for class elki.data.model.CorrelationModel

Constructor

correlationValue - Variable in class elki.clustering.correlation.HiCO.Instance

Correlation value.

correlationValue - Variable in class elki.clustering.optics.CorrelationClusterOrder

The correlation dimension.

correlationValue - Variable in class elki.clustering.subspace.DiSH.Instance

Correlation value.

correlationValue - Variable in class elki.clustering.subspace.HiSC.Instance

Correlation dimensionality.

cos(int) - Method in class elki.math.SinCosTable

Get Cosine by step value.

cos(int) - Method in class elki.math.SinCosTable.FullTable

Get Cosine by step value.

cos(int) - Method in class elki.math.SinCosTable.HalfTable

Get Cosine by step value.

cos(int) - Method in class elki.math.SinCosTable.QuarterTable

Get Cosine by step value.

cos2(double, double, double) - Method in class elki.math.statistics.intrinsicdimensionality.RABIDEstimator

Squared cosine from squared triangle side lengths

cosAngle(NumberVector, NumberVector) - Static method in class elki.data.VectorUtil

Compute the absolute cosine of the angle between two vectors.

Cosine - Class in elki.itemsetmining.associationrules.interest

Cosine interestingness measure, \(\tfrac{\text{support}(A\cup B)}{\sqrt{\text{support}(A)\text{support}(B)}} =\tfrac{P(A\cap B)}{\sqrt{P(A)P(B)}}\).

Cosine() - Constructor for class elki.itemsetmining.associationrules.interest.Cosine

Constructor.

CosineDistance - Class in elki.distance

Cosine distance function for feature vectors.

CosineDistance() - Constructor for class elki.distance.CosineDistance

Deprecated.

Use static instance

CosineDistance.Par - Class in elki.distance

Parameterization class.

cosineFormulaDeg(double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil

Compute the approximate great-circle distance of two points using the Haversine formula

cosineFormulaRad(double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil

Compute the approximate great-circle distance of two points using the Spherical law of cosines.

CosineHashFunctionFamily - Class in elki.index.lsh.hashfamilies

Hash function family to use with Cosine distance, using simplified hash functions where the projection is only drawn from +-1, instead of Gaussian distributions.

CosineHashFunctionFamily(int, RandomFactory) - Constructor for class elki.index.lsh.hashfamilies.CosineHashFunctionFamily

Constructor.

CosineHashFunctionFamily.Par - Class in elki.index.lsh.hashfamilies

Parameterization class.

CosineKernelDensityFunction - Class in elki.math.statistics.kernelfunctions

Cosine kernel density estimator.

CosineKernelDensityFunction() - Constructor for class elki.math.statistics.kernelfunctions.CosineKernelDensityFunction

Private, empty constructor.

CosineKernelDensityFunction.Par - Class in elki.math.statistics.kernelfunctions

Parameterization stub.

CosineKNNQuery() - Constructor for class elki.index.invertedlist.InMemoryInvertedIndex.CosineKNNQuery

CosineLocalitySensitiveHashFunction - Class in elki.index.lsh.hashfunctions

Random projection family to use with sparse vectors.

CosineLocalitySensitiveHashFunction(RandomProjectionFamily.Projection) - Constructor for class elki.index.lsh.hashfunctions.CosineLocalitySensitiveHashFunction

Constructor.

cosineOrHaversineDeg(double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil

Use cosine or haversine dynamically.

cosineOrHaversineRad(double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil

Use cosine or haversine dynamically.

CosineRangeQuery() - Constructor for class elki.index.invertedlist.InMemoryInvertedIndex.CosineRangeQuery

CosineUnitlengthDistance - Class in elki.distance

Cosine distance function for unit length feature vectors.

CosineUnitlengthDistance() - Constructor for class elki.distance.CosineUnitlengthDistance

Deprecated.

Use static instance

CosineUnitlengthDistance.Par - Class in elki.distance

Parameterization class.

cost - Variable in class elki.utilities.datastructures.KuhnMunkres

Cost matrix

costable - Variable in class elki.math.SinCosTable.FullTable

Data store

costable - Variable in class elki.math.SinCosTable.HalfTable

Data store

costable - Variable in class elki.math.SinCosTable.QuarterTable

Data store

costOf(int, int) - Method in class elki.utilities.datastructures.KuhnMunkres

Get the adjusted cost of a single element, for debug output.

costOf(int, int) - Method in class elki.utilities.datastructures.KuhnMunkresWong

cosZ - Variable in class elki.visualization.parallel3d.util.Simple1DOFCamera

Cache the Z rotation cosine

count - Variable in class elki.datasource.DBIDRangeDatabaseConnection

Number of records to produce

count - Variable in class elki.datasource.DBIDRangeDatabaseConnection.Par

Number of records to produce

count - Variable in class elki.itemsetmining.FPGrowth.FPNode

Key, weight, and number of children.

count - Variable in class elki.outlier.lof.ALOCI.Node

Number of elements

COUNT_ID - Static variable in class elki.datasource.DBIDRangeDatabaseConnection.Par

Parameter for number of IDs to generate

countAboveThreshold(int[][], double) - Method in class elki.math.statistics.dependence.HoughSpaceMeasure

Count the number of cells above the threshold.

countDistanceCalculation() - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics

Count a distance computation.

countDistanceCalculation() - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics

Count a distance computation.

countDistanceComputation() - Method in class elki.index.tree.spatial.kd.MemoryKDTree

Count a distance computation.

countDistanceComputation() - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree

Count a distance computation.

countDistanceComputation() - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree

Count a distance computation.

counter - Variable in class elki.logging.statistics.AtomicLongCounter

The counter to use.

counter - Variable in class elki.logging.statistics.UnsynchronizedLongCounter

The counter to use.

counter - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution

Counter, for max iterations of fast function.

counter - Variable in class elki.result.ExportVisualizations

Output counter.

counter - Static variable in class elki.visualization.batikutil.ThumbnailRegistryEntry

Object counter

Counter - Interface in elki.logging.statistics

Simple statistic by counting.

CountingRelation() - Constructor for class elki.index.tree.spatial.kd.MemoryKDTree.CountingRelation

countItemSupport(Relation<BitVector>, int) - Method in class elki.itemsetmining.FPGrowth

Count the support of each 1-item.

countkNN(Object2IntOpenHashMap<Object>, Object) - Method in class elki.algorithm.statistics.EvaluateRetrievalPerformance.KNNEvaluator

Counting helper for kNN classification.

countKNNQuery() - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics

Count a knn query invocation.

countKNNQuery() - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics

Count a knn query invocation.

countLeadingZeros(A, NumberArrayAdapter<?, ? super A>, int) - Static method in interface elki.math.statistics.intrinsicdimensionality.DistanceBasedIntrinsicDimensionalityEstimator

countNonNewline(char[], int, int) - Method in class elki.logging.OutputStreamLogger

Count the number of non-newline characters before first newline in the string.

countNonNewline(String, int, int) - Method in class elki.logging.OutputStreamLogger

Count the number of non-newline characters before first newline in the string.

countObjectAccess() - Method in class elki.index.tree.spatial.kd.MemoryKDTree

Count a single object access.

countObjectAccess() - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree

Count a single object access.

countObjectAccess() - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree

Count a single object access.

countRangeQuery() - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics

Count a range query invocation.

countRangeQuery() - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics

Count a range query invocation.

countRead() - Method in class elki.persistent.AbstractPageFile

Count a page read access.

countRefinement() - Method in class elki.index.projected.ProjectedIndex

Count a single distance refinement.

countRefinements(int) - Method in class elki.index.AbstractRefiningIndex

Increment the refinement counter, if in use.

countSharedNeighbors(DBIDs, DBIDs) - Static method in class elki.similarity.FractionalSharedNearestNeighborSimilarity.Instance

Compute the intersection size.

countSharedNeighbors(DBIDs, DBIDs) - Static method in class elki.similarity.SharedNearestNeighborSimilarity

Compute the intersection size

CountSortAccesses(Counter, Relation<? extends NumberVector>) - Constructor for class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.CountSortAccesses

Constructor.

countTies(double[], int[]) - Method in class elki.evaluation.clustering.internal.ConcordantPairsGammaTau

Count (and annotate) the number of tied values.

countWrite() - Method in class elki.persistent.AbstractPageFile

Count a page write access.

covariance - Variable in class elki.clustering.em.models.MultivariateGaussianModel

Covariance matrix.

covariance - Variable in class elki.clustering.em.models.TextbookMultivariateGaussianModel

Covariance matrix.

covariance - Variable in class elki.clustering.em.models.TwoPassMultivariateGaussianModel

Covariance matrix.

covariance() - Method in class elki.index.tree.betula.features.BIRCHCF

covariance() - Method in interface elki.index.tree.betula.features.ClusterFeature

returns the covariance matrix

covariance() - Method in class elki.index.tree.betula.features.VIIFeature

covariance() - Method in class elki.index.tree.betula.features.VVIFeature

covariance() - Method in class elki.index.tree.betula.features.VVVFeature

covarianceMatrix - Variable in class elki.data.model.EMModel

Cluster covariance matrix

CovarianceMatrix - Class in elki.math.linearalgebra

Class for computing covariance matrixes using stable mean and variance computations.

CovarianceMatrix(int) - Constructor for class elki.math.linearalgebra.CovarianceMatrix

Constructor.

covarianceMatrixBuilder - Variable in class elki.math.linearalgebra.pca.PCARunner

The covariance computation class.

covarianceMatrixBuilder - Variable in class elki.math.linearalgebra.pca.PCARunner.Par

The covariance computation class.

CovarianceMatrixBuilder - Interface in elki.math.linearalgebra.pca

Interface for computing covariance matrixes on a data set.

coverage - Variable in class elki.clustering.subspace.clique.CLIQUESubspace

The coverage of this subspace, which is the number of all feature vectors that fall inside the dense units of this subspace.

coverIndex - Variable in class elki.database.query.EmpiricalQueryOptimizer

cover tree index class.

coveringRadius - Variable in class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

The covering radius of the entry.

coveringRadiusFromEntries(DBID, AbstractMTree<O, N, E, ?>) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTreeNode

Determines and returns the covering radius of this node.

coverRadius(double[][], int[], int) - Static method in class elki.index.tree.metrical.mtreevariants.strategies.split.MSTSplit

Find the cover radius of a partition.

CoverTree<O> - Class in elki.index.tree.metrical.covertree

Cover tree data structure (in-memory).

CoverTree(Relation<O>, Distance<? super O>, double, int) - Constructor for class elki.index.tree.metrical.covertree.CoverTree

Constructor.

CoverTree(Relation<O>, Distance<? super O>, int) - Constructor for class elki.index.tree.metrical.covertree.CoverTree

Constructor.

CoverTree.CoverTreeKNNDBIDSearcher - Class in elki.index.tree.metrical.covertree

KNN Query class.

CoverTree.CoverTreeKNNObjectSearcher - Class in elki.index.tree.metrical.covertree

KNN Query class.

CoverTree.CoverTreeKNNSearcher - Class in elki.index.tree.metrical.covertree

KNN Query class.

CoverTree.CoverTreePriorityDBIDSearcher - Class in elki.index.tree.metrical.covertree

Priority query class.

CoverTree.CoverTreePriorityObjectSearcher - Class in elki.index.tree.metrical.covertree

Priority query class.

CoverTree.CoverTreePrioritySearcher<Q> - Class in elki.index.tree.metrical.covertree

Priority query class.

CoverTree.CoverTreeRangeDBIDSearcher - Class in elki.index.tree.metrical.covertree

Range query class.

CoverTree.CoverTreeRangeObjectSearcher - Class in elki.index.tree.metrical.covertree

Range query class.

CoverTree.CoverTreeRangeSearcher - Class in elki.index.tree.metrical.covertree

Range query class.

CoverTree.Factory<O> - Class in elki.index.tree.metrical.covertree

Index factory.

CoverTree.Factory.Par<O> - Class in elki.index.tree.metrical.covertree

Parameterization class.

CoverTree.Node - Class in elki.index.tree.metrical.covertree

Node object.

CoverTreeKNNDBIDSearcher() - Constructor for class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNDBIDSearcher

CoverTreeKNNDBIDSearcher() - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNDBIDSearcher

CoverTreeKNNObjectSearcher() - Constructor for class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNObjectSearcher

CoverTreeKNNObjectSearcher() - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNObjectSearcher

CoverTreeKNNSearcher() - Constructor for class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNSearcher

CoverTreeKNNSearcher() - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNSearcher

CoverTreePriorityDBIDSearcher() - Constructor for class elki.index.tree.metrical.covertree.CoverTree.CoverTreePriorityDBIDSearcher

CoverTreePriorityDBIDSearcher() - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePriorityDBIDSearcher

CoverTreePriorityObjectSearcher() - Constructor for class elki.index.tree.metrical.covertree.CoverTree.CoverTreePriorityObjectSearcher

CoverTreePriorityObjectSearcher() - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePriorityObjectSearcher

CoverTreePrioritySearcher() - Constructor for class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher

Constructor.

CoverTreePrioritySearcher() - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher

Constructor.

CoverTreeRangeDBIDSearcher() - Constructor for class elki.index.tree.metrical.covertree.CoverTree.CoverTreeRangeDBIDSearcher

CoverTreeRangeDBIDSearcher() - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeDBIDSearcher

CoverTreeRangeObjectSearcher() - Constructor for class elki.index.tree.metrical.covertree.CoverTree.CoverTreeRangeObjectSearcher

CoverTreeRangeObjectSearcher() - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeObjectSearcher

CoverTreeRangeSearcher() - Constructor for class elki.index.tree.metrical.covertree.CoverTree.CoverTreeRangeSearcher

CoverTreeRangeSearcher() - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeSearcher

covmat - Variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform

Covariance matrix builder.

covmat - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Working space for covariance matrix

Cp - Variable in class elki.svm.CSVC

Cp - Variable in class elki.svm.solver.Solver

cptr - Variable in class elki.utilities.datastructures.KuhnMunkresStern

Pointer to the minimum non-marked value, for each column; but initially to the starting row.

createBulkDirectoryNodes(List<E>) - Method in class elki.index.tree.spatial.rstarvariants.NonFlatRStarTree

Creates and returns the directory nodes for bulk load.

createBulkLeafNodes(List<E>) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Creates and returns the leaf nodes for bulk load.

createEmptyRoot(E) - Method in class elki.index.tree.IndexTree

Creates an empty root node and writes it to file.

createEmptyRoot(E) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree

createEmptyRoot(E) - Method in class elki.index.tree.spatial.rstarvariants.NonFlatRStarTree

createEmptyRoot(SpatialEntry) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree

createHeader() - Method in class elki.index.tree.IndexTree

Creates a header for this index structure which is an instance of TreeIndexHeader.

createHeader() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnified

createHeader() - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

createImage(int, int) - Method in class elki.visualization.batikutil.ThumbnailTranscoder

createNewDirectoryEntry(MkAppTreeNode<O>, DBID, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Creates a new directory entry representing the specified node.

createNewDirectoryEntry(MkCoPTreeNode<O>, DBID, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

Creates a new directory entry representing the specified node.

createNewDirectoryEntry(MkMaxTreeNode<O>, DBID, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

createNewDirectoryEntry(MkTabTreeNode<O>, DBID, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

Creates a new directory entry representing the specified node.

createNewDirectoryEntry(MTreeNode<O>, DBID, double) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTree

createNewDirectoryEntry(DeLiCluNode) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Creates a new directory entry representing the specified node.

createNewDirectoryEntry(FlatRStarTreeNode) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree

createNewDirectoryEntry(RdKNNNode) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Creates a new directory entry representing the specified node.

createNewDirectoryEntry(RStarTreeNode) - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTree

createNewDirectoryEntry(N) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Creates a new directory entry representing the specified node.

createNewDirectoryEntry(N, DBID, double) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree

Creates a new directory entry representing the specified node.

createNewDirectoryNode() - Method in class elki.index.tree.IndexTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

createNewDirectoryNode() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode() - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTree

createNewDirectoryNode() - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode() - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree

createNewDirectoryNode() - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Creates a new directory node with the specified capacity.

createNewDirectoryNode() - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTree

Creates a new directory node with the specified capacity.

createNewLeafEntry(DBID) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex

Creates a new leaf entry representing the specified data object.

createNewLeafEntry(DBID) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex

Wrap a vector as spatial point leaf entry.

createNewLeafEntry(DBID) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

createNewLeafEntry(DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex

Create a new leaf entry.

createNewLeafEntry(DBID, DBIDRef, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex

createNewLeafEntry(DBID, DBIDRef, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex

Creates a new leaf entry representing the specified data object in the specified subtree.

createNewLeafEntry(DBID, O, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex

Creates a new leaf entry representing the specified data object in the specified subtree.

createNewLeafEntry(DBID, O, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex

Creates a new leaf entry representing the specified data object in the specified subtree.

createNewLeafEntry(DBID, O, double) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex

createNewLeafNode() - Method in class elki.index.tree.IndexTree

Creates a new leaf node with the specified capacity.

createNewLeafNode() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Creates a new leaf node with the specified capacity.

createNewLeafNode() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

Creates a new leaf node with the specified capacity.

createNewLeafNode() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

createNewLeafNode() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

createNewLeafNode() - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTree

createNewLeafNode() - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Creates a new leaf node with the specified capacity.

createNewLeafNode() - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree

createNewLeafNode() - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Creates a new leaf node with the specified capacity.

createNewLeafNode() - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTree

Creates a new leaf node with the specified capacity.

createNewRoot(N, N) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Creates a new root node that points to the two specified child nodes and return the path to the new root.

createNewRoot(N, N, DBID, DBID) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree

Creates a new root node that points to the two specified child nodes and return the path to the new root.

createRoot(N, List<E>) - Method in class elki.index.tree.spatial.rstarvariants.NonFlatRStarTree

Returns a root node for bulk load.

createRootEntry() - Method in class elki.index.tree.IndexTree

Creates an entry representing the root node.

createRootEntry() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Creates an entry representing the root node.

createRootEntry() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

Creates an entry representing the root node.

createRootEntry() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

createRootEntry() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

Creates an entry representing the root node.

createRootEntry() - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTree

createRootEntry() - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Creates an entry representing the root node.

createRootEntry() - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree

createRootEntry() - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Creates an entry representing the root node.

createRootEntry() - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTree

createScroller() - Method in class elki.gui.util.TreePopup

Creates the scroll pane which houses the scrollable tree.

createSettings() - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory.Par

createSettings() - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory.Par

createSettings() - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory.Par

createStorage() - Method in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor

Create the default storage.

createTree() - Method in class elki.gui.util.TreePopup

Creates the JList used in the popup to display the items in the combo box model.

createVector() - Method in class elki.datasource.parser.NumberVectorLabelParser

Creates a database object of type V.

cref - Variable in class elki.visualization.batikutil.JSVGUpdateSynchronizer

A weak reference to the component the plot is in.

crep - Variable in class elki.visualization.gui.SelectionTableWindow

Class label representation

critical - Variable in class elki.clustering.kmeans.GMeans

Critical value

critical - Variable in class elki.clustering.kmeans.GMeans.Par

Critical value

CRITICAL_ID - Static variable in class elki.clustering.kmeans.GMeans.Par

Critical value for the Anderson-Darling-Test

cross_validation(DataSet, double[], int, double[]) - Method in class elki.svm.AbstractSVC

cross_validation(DataSet, int, double[]) - Method in class elki.svm.AbstractSVR

crossoverOptimized(ArrayList<AggarwalYuEvolutionary.Individuum>) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

method implements the crossover algorithm

crossTrackDistanceDeg(double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil

Compute the cross-track distance.

crossTrackDistanceDeg(double, double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil

Compute the cross-track distance.

crossTrackDistanceRad(double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil

Compute the cross-track distance.

crossTrackDistanceRad(double, double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil

Compute the cross-track distance.

cs - Variable in class elki.clustering.dbscan.util.MultiBorder

Cluster numbers

csel - Variable in class elki.utilities.datastructures.KuhnMunkres

Selected ("starred") row per column, -1 if not selected.

csim - Variable in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance

Cluster self-similarity.

csim - Variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Instance

Cluster self-similarity.

csim - Variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Instance

Cluster self-similarity.

csize - Variable in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder

Cluster size storage.

CSS_ARROW - Static variable in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance

CSS tag for our event rectangle

CSS_AXIS - Static variable in class elki.visualization.svg.SVGSimpleLinearAxis

CSS class name for the axes

CSS_AXIS_LABEL - Static variable in class elki.visualization.svg.SVGSimpleLinearAxis

CSS class name for the axes

CSS_AXIS_LABEL - Static variable in class elki.visualization.visualizers.visunproj.XYCurveVisualization

Axis labels

CSS_AXIS_LABEL - Static variable in class elki.visualization.visualizers.visunproj.XYPlotVisualization

Axis labels

CSS_AXIS_TICK - Static variable in class elki.visualization.svg.SVGSimpleLinearAxis

CSS class name for the axes

CSS_BRACKET - Static variable in class elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance

CSS class for markers

CSS_CLASS - Static variable in class elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization.Instance

CSS class for uncertain bounding boxes.

CSS_CLASS - Static variable in class elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization.Instance

CSS class for uncertain bounding boxes.

CSS_CLASS - Static variable in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance

CSS class for uncertain bounding boxes.

CSS_CUBE - Static variable in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance

CSS class for the filled cube

CSS_CUBEFRAME - Static variable in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance

CSS class for the cube frame

CSS_EPSILON - Static variable in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance

CSS-Styles

CSS_LINE - Static variable in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance

CSS-Styles

CSS_MARKER - Static variable in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance

CSS class for markers

CSS_MARKER - Static variable in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance

CSS class for markers

CSS_MARKER - Static variable in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization.Instance

CSS class for markers

CSS_MEAN - Static variable in class elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance

CSS class name for center of the means

CSS_MEAN_CENTER - Static variable in class elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance

CSS class name for center of the means

CSS_MEAN_STAR - Static variable in class elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization.Instance

CSS class name for center of the means

CSS_RANGEMARKER - Static variable in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance

CSS class for markers

CSS_RANGEMARKER - Static variable in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance

Generic tag to indicate the type of element.

CSS_RANGEMARKER - Static variable in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance

CSS class of the selection rectangle while selecting.

CSS_RANGEMARKER - Static variable in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance

Generic tag to indicate the type of element.

CSS_RANGEMARKER - Static variable in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance

CSS class of the selection rectangle while selecting.

CSS_RANGEMARKER - Static variable in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance

CSS class for markers

CSS_RANGEMARKER - Static variable in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization.Instance

CSS class for markers

CSS_STEEP_DOWN - Static variable in class elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance

CSS class for markers

CSS_STEEP_UP - Static variable in class elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance

CSS class for markers

cssclass - Variable in class elki.visualization.batikutil.AddCSSClass

Class to set

cssclass - Variable in class elki.visualization.batikutil.RemoveCSSClass

Class to set

CSSClass - Class in elki.visualization.css

Class representing a single CSS class.

CSSClass(Object, String) - Constructor for class elki.visualization.css.CSSClass

Simplified constructor, empty statements list.

CSSClass(Object, String, CSSClass) - Constructor for class elki.visualization.css.CSSClass

Cloning constructor

CSSClass(Object, String, Collection<Pair<String, String>>) - Constructor for class elki.visualization.css.CSSClass

Full constructor

CSSClass.InvalidCSS - Exception in elki.visualization.css

Exception class thrown when encountering invalid CSS.

CSSClassManager - Class in elki.visualization.css

Manager class to track CSS classes used in a particular SVG document.

CSSClassManager() - Constructor for class elki.visualization.css.CSSClassManager

CSSClassManager.CSSNamingConflict - Exception in elki.visualization.css

Class to signal a CSS naming conflict.

CSSHoverClass - Class in elki.visualization.batikutil

Do a hover effect using a CSS class.

CSSHoverClass(String, String) - Constructor for class elki.visualization.batikutil.CSSHoverClass

Constructor without 'clickisout' option.

CSSHoverClass(String, String, boolean) - Constructor for class elki.visualization.batikutil.CSSHoverClass

Constructor

cssman - Variable in class elki.visualization.svg.SVGPlot

CSS class manager

CSSNAME - Static variable in class elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance

CSS class name

CSSNamingConflict(String) - Constructor for exception elki.visualization.css.CSSClassManager.CSSNamingConflict

Exception to signal a CSS naming conflict.

CSVC - Class in elki.svm

Regularized SVM based classification (C-SVC, C-SVM).

CSVC(double, boolean, double) - Constructor for class elki.svm.CSVC

CSVReaderFormat - Class in elki.datasource.parser

Basic format factory for parsing CSV-like formats.

CSVReaderFormat(Pattern, String, Pattern) - Constructor for class elki.datasource.parser.CSVReaderFormat

Constructor.

CSVReaderFormat.Par - Class in elki.datasource.parser

Parameterization class.

CTLuGLSBackwardSearchAlgorithm<V extends NumberVector> - Class in elki.outlier.spatial

GLS-Backward Search is a statistical approach to detecting spatial outliers.

CTLuGLSBackwardSearchAlgorithm(Distance<? super V>, int, double) - Constructor for class elki.outlier.spatial.CTLuGLSBackwardSearchAlgorithm

Constructor.

CTLuMeanMultipleAttributes<N,O extends NumberVector> - Class in elki.outlier.spatial

Mean Approach is used to discover spatial outliers with multiple attributes.

CTLuMeanMultipleAttributes(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuMeanMultipleAttributes

Constructor

CTLuMedianAlgorithm<N> - Class in elki.outlier.spatial

Median Algorithm of C.

CTLuMedianAlgorithm(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuMedianAlgorithm

Constructor.

CTLuMedianMultipleAttributes<N,O extends NumberVector> - Class in elki.outlier.spatial

Median Approach is used to discover spatial outliers with multiple attributes.

CTLuMedianMultipleAttributes(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuMedianMultipleAttributes

Constructor

CTLuMoranScatterplotOutlier<N> - Class in elki.outlier.spatial

Moran scatterplot outliers, based on the standardized deviation from the local and global means.

CTLuMoranScatterplotOutlier(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuMoranScatterplotOutlier

Constructor.

CTLuRandomWalkEC<O> - Class in elki.outlier.spatial

Spatial outlier detection based on random walks.

CTLuRandomWalkEC(Distance<? super O>, double, double, int) - Constructor for class elki.outlier.spatial.CTLuRandomWalkEC

Constructor.

CTLuScatterplotOutlier<N> - Class in elki.outlier.spatial

Scatterplot-outlier is a spatial outlier detection method that performs a linear regression of object attributes and their neighbors average value.

CTLuScatterplotOutlier(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuScatterplotOutlier

Constructor.

CTLuZTestOutlier<N> - Class in elki.outlier.spatial

Detect outliers by comparing their attribute value to the mean and standard deviation of their neighborhood.

CTLuZTestOutlier(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuZTestOutlier

Constructor.

ctrlLayer - Variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

The two main layers

CUBIC - elki.outlier.svm.LibSVMOneClassOutlierDetection.SVMKernel

cubicTo(double[], double[], double[]) - Method in class elki.visualization.svg.SVGPath

Cubic Bezier line to the given coordinates.

cubicTo(double, double, double, double, double, double) - Method in class elki.visualization.svg.SVGPath

Cubic Bezier line to the given coordinates.

cur - Variable in class elki.clustering.optics.OPTICSXi.SteepScanPosition

Variable for accessing.

cur - Variable in class elki.index.tree.metrical.vptree.GNAT.GNATPrioritySearcher

Current search position.

cur - Variable in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher

Current search position.

cur - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher

Current search position.

cur - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher

Current search position.

cur - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher

Current search position.

cur - Variable in class elki.utilities.datastructures.iterator.IterableIt

Current object.

cur - Variable in class elki.visualization.gui.overview.PlotItem.ItmItr

curclu - Variable in class elki.datasource.parser.ClusteringVectorParser

Current clustering.

curclus - Variable in class elki.data.synthetic.bymodel.GeneratorMain.AssignLabelsByDensity

Current cluster generator.

curclusters - Variable in class elki.clustering.optics.OPTICSXi.ClusterHierarchyBuilder

Current "unattached" clusters.

curdist - Variable in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher

Current distance.

curdist - Variable in class elki.database.query.distance.LinearScanPrioritySearcher

Current distance

curdist - Variable in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher

Distance to the current object.

curdistsq - Variable in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher

Current squared distance.

cureid - Variable in class elki.datasource.parser.SimplePolygonParser

Current external id.

curid - Variable in class elki.datasource.filter.FixedDBIDsFilter

The next ID to assign

curlbl - Variable in class elki.datasource.parser.ClusteringVectorParser

Current labels.

curlbl - Variable in class elki.datasource.parser.NumberVectorLabelParser

Current labels.

curlbl - Variable in class elki.datasource.parser.SimplePolygonParser

Current labels.

curpoly - Variable in class elki.datasource.parser.SimplePolygonParser

Current polygon.

current - Variable in class elki.clustering.hierarchical.birch.CFTree.LeafIterator

Current leaf entry.

current - Variable in class elki.index.tree.betula.CFTree.LeafIterator

Current leaf entry.

current - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution

Current value

current - Variable in class elki.result.Metadata.EagerIt

Next object to return.

current - Variable in class elki.utilities.datastructures.iterator.FilteredIt

Current object, if valid.

current - Variable in class elki.utilities.datastructures.iterator.SubtypeIt

Current object, if valid.

current - Variable in class elki.utilities.optionhandling.parameterization.MergedParameterization

Parameters we used before, but have rewound

currentDataStoreEventType - Variable in class elki.database.DatabaseEventManager

The type of the current DataStoreEvent to be accumulated.

currentSubplot - Variable in class elki.visualization.gui.ResultWindow

Currently selected subplot.

Curve(int) - Constructor for class elki.math.geometry.XYPlot.Curve

Constructor.

Curve(int, int) - Constructor for class elki.math.geometry.XYPlot.Curve

Constructor.

curvec - Variable in class elki.datasource.parser.NumberVectorLabelParser

Current vector.

curvec - Variable in class elki.datasource.parser.SimpleTransactionParser

Current vector.

curvegen - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

Spatial curve generators

curvegen - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory

Spatial curve generators

curvegen - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Par

Spatial curve generators.

curvegen - Variable in class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor

Spatial curve generators

curvegen - Variable in class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory

Spatial curve generators

curves - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

Curve storage

curves - Variable in class elki.math.geometry.XYPlot

Curves on this plot.

curves - Variable in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Par

Internal storage of the curves flag.

CURVES_ID - Static variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Par

Parameter for choosing the space filling curves to use.

cusum(double[], double[], int, int) - Static method in class elki.timeseries.OfflineChangePointDetectionAlgorithm

Compute the incremental sum of an array, i.e. the sum of all points up to the given index.

CutDendrogramByHeight - Class in elki.clustering.hierarchical.extraction

Extract a flat clustering from a full hierarchy, represented in pointer form.

CutDendrogramByHeight(HierarchicalClusteringAlgorithm, double, boolean) - Constructor for class elki.clustering.hierarchical.extraction.CutDendrogramByHeight

Constructor.

CutDendrogramByHeight(HierarchicalClusteringAlgorithm, double, boolean, boolean) - Constructor for class elki.clustering.hierarchical.extraction.CutDendrogramByHeight

Constructor.

CutDendrogramByHeight.Instance - Class in elki.clustering.hierarchical.extraction

Instance for a single data set.

CutDendrogramByHeight.Par - Class in elki.clustering.hierarchical.extraction

Parameterization class.

CutDendrogramByHeightExtractor - Class in elki.evaluation.clustering.extractor

Extract clusters from a hierarchical clustering, during the evaluation phase.

CutDendrogramByHeightExtractor(CutDendrogramByHeight) - Constructor for class elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor

Constructor.

CutDendrogramByHeightExtractor.Par - Class in elki.evaluation.clustering.extractor

Parameterization class.

CutDendrogramByNumberOfClusters - Class in elki.clustering.hierarchical.extraction

Extract a flat clustering from a full hierarchy, represented in pointer form.

CutDendrogramByNumberOfClusters(HierarchicalClusteringAlgorithm, int, boolean) - Constructor for class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters

Constructor.

CutDendrogramByNumberOfClusters(HierarchicalClusteringAlgorithm, int, boolean, boolean) - Constructor for class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters

Constructor.

CutDendrogramByNumberOfClusters.Instance - Class in elki.clustering.hierarchical.extraction

Instance for a single data set.

CutDendrogramByNumberOfClusters.Par - Class in elki.clustering.hierarchical.extraction

Parameterization class.

CutDendrogramByNumberOfClustersExtractor - Class in elki.evaluation.clustering.extractor

Extract clusters from a hierarchical clustering, during the evaluation phase.

CutDendrogramByNumberOfClustersExtractor(CutDendrogramByNumberOfClusters) - Constructor for class elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor

Constructor.

CutDendrogramByNumberOfClustersExtractor.Par - Class in elki.evaluation.clustering.extractor

Parameterization class.

cutoff - Variable in class elki.outlier.meta.HiCS

Candidates limit.

cutoff - Variable in class elki.utilities.scaling.outlier.TopKOutlierScaling

The value we cut off at.

CUTOFF - Static variable in class elki.outlier.lof.KDEOS

Significance cutoff when computing kernel density.

cycleLeftC(long, int, int) - Static method in class elki.utilities.datastructures.BitsUtil

Rotate a long to the left, cyclic with length len

cycleLeftI(long[], int, int) - Static method in class elki.utilities.datastructures.BitsUtil

Cycle a bitstring to the right.

cycleRightC(long, int, int) - Static method in class elki.utilities.datastructures.BitsUtil

Rotate a long to the right, cyclic with length len

cycleRightI(long[], int, int) - Static method in class elki.utilities.datastructures.BitsUtil

Cycle a bitstring to the right.

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