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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
Significa