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B

b - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation
The parameters b0, ..., bp.
b - Variable in class elki.math.geodesy.AbstractEarthModel
Model parameters: major and minor radius.
b - Variable in class elki.math.geometry.SweepHullDelaunay2D.Triangle
References to points in Delaunay2D.points
b - Variable in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.ProblemData
 
b - Variable in class elki.math.statistics.MultipleLinearRegression
The (p+1 x 1) - double[] holding the estimated b-values (b0, b1, ..., bp)^T.
b - Variable in class elki.outlier.density.HySortOD
Number of bins.
B1 - Static variable in class elki.math.statistics.distribution.estimator.GammaLMMEstimator
Coefficients for polynomial approximation
B1 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
 
B1 - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
B1 - Static variable in class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
B1 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator
Estimation constants
B2 - Static variable in class elki.math.statistics.distribution.estimator.GammaLMMEstimator
Coefficients for polynomial approximation
B2 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
 
B2 - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
B2 - Static variable in class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
B2 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator
Estimation constants
B3 - Static variable in class elki.math.statistics.distribution.estimator.GammaLMMEstimator
Coefficients for polynomial approximation
B3 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
 
B3 - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
Polynomial approximation
B3 - Static variable in class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
Polynomial approximation
B3 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator
Estimation constants
B4 - Static variable in class elki.math.statistics.distribution.estimator.GammaLMMEstimator
Coefficients for polynomial approximation
BACKGROUND_COLOR - Static variable in interface elki.visualization.style.StyleLibrary
Background color
bad - Variable in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery
Number of uncacheable queries
BADBOUND - Static variable in class elki.utilities.random.FastNonThreadsafeRandom
Exception message for non-positive bounds
BADBOUND - Static variable in class elki.utilities.random.Xoroshiro128NonThreadsafeRandom
 
BADBOUND - Static variable in class elki.utilities.random.XorShift1024NonThreadsafeRandom
Exception message for non-positive bounds
BADBOUND - Static variable in class elki.utilities.random.XorShift64NonThreadsafeRandom
Exception message for non-positive bounds
BalancedDistribution - Class in elki.index.tree.metrical.mtreevariants.strategies.split.distribution
Balanced entry distribution strategy of the M-tree.
BalancedDistribution() - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.BalancedDistribution
 
BALLOON - elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Mode
 
bandSize - Variable in class elki.distance.timeseries.AbstractEditDistance
Keeps the currently set bandSize.
bandSize - Variable in class elki.distance.timeseries.AbstractEditDistance.Par
Keeps the currently set bandSize.
BANDSIZE_ID - Static variable in class elki.distance.timeseries.AbstractEditDistance.Par
Bandsize parameter.
bandwidth - Variable in class elki.clustering.NaiveMeanShiftClustering
Range of the kernel.
BARHEIGHT - Static variable in class elki.visualization.visualizers.visunproj.EvaluationVisualization
Constant: height of score bars
BARLENGTH - Static variable in class elki.visualization.visualizers.visunproj.EvaluationVisualization
Constant: width of score bars
BarnesHutTSNE<O> - Class in elki.projection
t-SNE using Barnes-Hut-Approximation.
BarnesHutTSNE(AffinityMatrixBuilder<? super O>, int, double, double, int, RandomFactory, boolean, double) - Constructor for class elki.projection.BarnesHutTSNE
Constructor.
BarnesHutTSNE.QuadTree - Class in elki.projection
Quad Tree for use in a Barnes-Hut approximation.
base - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution
Base value
base - Variable in class elki.utilities.datastructures.histogram.AbstractStaticHistogram
Array 'base', i.e. the point of 0.0.
basedOnDatabase - Variable in class elki.gui.multistep.panels.AlgorithmTabPanel
Database we ran last onn
basedOnResult - Variable in class elki.gui.multistep.panels.EvaluationTabPanel
Result we ran last onn
basedOnResult - Variable in class elki.gui.multistep.panels.OutputTabPanel
Result we ran last on
basename - Variable in class elki.result.textwriter.MultipleFilesOutput
Base file name.
baseResult - Variable in class elki.result.ExportVisualizations
Base result
baseResult - Variable in class elki.visualization.VisualizerContext
Starting point of the result tree, may be null.
baseStyle - Variable in class elki.gui.util.LogPane
Base (default) style
BasicOutlierScoreMeta - Class in elki.result.outlier
Basic outlier score.
BasicOutlierScoreMeta(double, double) - Constructor for class elki.result.outlier.BasicOutlierScoreMeta
Constructor with actual values only.
BasicOutlierScoreMeta(double, double, double, double) - Constructor for class elki.result.outlier.BasicOutlierScoreMeta
Constructor with all range values
BasicOutlierScoreMeta(double, double, double, double, double) - Constructor for class elki.result.outlier.BasicOutlierScoreMeta
Full constructor - all values.
basis - Variable in class elki.clustering.correlation.LMCLUS.Separation
Basis of manifold
basis - Variable in class elki.clustering.correlation.ORCLUS.ORCLUSCluster
The matrix defining the subspace of this cluster.
batchNN(N, DBIDs, int) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree
Deprecated.
Change to use by-object NN lookups instead.
BATIK_DOM - Static variable in class elki.visualization.svg.SVGPlot
Batik DOM implementation.
BATIK_DOMS - Static variable in class elki.visualization.svg.SVGPlot
DOM implementations to try.
BatikUtil - Class in elki.visualization.batikutil
Batik helper class with static methods.
BatikUtil() - Constructor for class elki.visualization.batikutil.BatikUtil
Private constructor.
BayesianInformationCriterion - Class in elki.clustering.kmeans.quality
Bayesian Information Criterion (BIC), also known as Schwarz criterion (SBC, SBIC) for the use with evaluating k-means results.
BayesianInformationCriterion() - Constructor for class elki.clustering.kmeans.quality.BayesianInformationCriterion
 
BayesianInformationCriterionXMeans - Class in elki.clustering.kmeans.quality
Bayesian Information Criterion (BIC), also known as Schwarz criterion (SBC, SBIC) for the use with evaluating k-means results.
BayesianInformationCriterionXMeans() - Constructor for class elki.clustering.kmeans.quality.BayesianInformationCriterionXMeans
 
BayesianInformationCriterionZhao - Class in elki.clustering.kmeans.quality
Different version of the BIC criterion.
BayesianInformationCriterionZhao() - Constructor for class elki.clustering.kmeans.quality.BayesianInformationCriterionZhao
 
bc - Variable in class elki.math.geometry.SweepHullDelaunay2D.Triangle
References to neighbor triangles
bcubed - Variable in class elki.evaluation.clustering.ClusterContingencyTable
BCubed measures
BCubed - Class in elki.evaluation.clustering
BCubed measures for cluster evaluation.
BCubed(ClusterContingencyTable) - Constructor for class elki.evaluation.clustering.BCubed
Constructor.
bCubedPrecision - Variable in class elki.evaluation.clustering.BCubed
Result cache
bCubedRecall - Variable in class elki.evaluation.clustering.BCubed
Result cache
be_shrunk(int, double, double) - Method in class elki.svm.solver.Solver
 
be_shrunk(int, double, double, double, double) - Method in class elki.svm.solver.NuSolver
 
bearingDegDeg(double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil
Compute the bearing from start to end.
bearingRad(double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil
Compute the bearing from start to end.
becomeDefaultLogger() - Method in class elki.gui.util.LogPane
Become the default logger.
becomeDefaultLogger() - Method in class elki.gui.util.LogPanel
Become the default logger.
begin - Variable in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
Slice positions.
begin - Variable in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
Slice positions.
begin - Variable in class elki.database.ids.integer.DoubleIntegerDBIDSubList
Start offset.
begin - Variable in class elki.database.ids.integer.IntegerDBIDPair.Slice
Slice positions.
begin - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
Fake length and offset.
begin - Variable in class elki.logging.statistics.MillisTimeDuration
Tracking variables.
begin - Variable in class elki.logging.statistics.NanoDuration
Tracking variables.
begin - Variable in class elki.outlier.density.HySortOD.TreeStrategy.Node
Index information.
begin() - Method in interface elki.logging.statistics.Duration
Start the timer.
begin() - Method in class elki.logging.statistics.MillisTimeDuration
 
begin() - Method in class elki.logging.statistics.NanoDuration
 
beginEStep() - Method in class elki.clustering.em.models.DiagonalGaussianModel
 
beginEStep() - Method in interface elki.clustering.em.models.EMClusterModel
Begin the E step.
beginEStep() - Method in class elki.clustering.em.models.MultivariateGaussianModel
 
beginEStep() - Method in class elki.clustering.em.models.SphericalGaussianModel
 
beginEStep() - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel
 
beginEStep() - Method in class elki.clustering.em.models.TextbookSphericalGaussianModel
 
beginEStep() - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel
 
beginStep(int, String, Logging) - Method in class elki.logging.progress.StepProgress
Do a new step and log it
beginStep(StepProgress, int, String) - Method in class elki.logging.Logging
Begin a new algorithm step (unless null).
bend - Variable in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Par
Use bend curves
bestChangeInMean(double[], int, int) - Static method in class elki.timeseries.OfflineChangePointDetectionAlgorithm
Find the best position to assume a change in mean.
bestd - Variable in class elki.clustering.hierarchical.Anderberg.Instance
Cache: best distance
bestd - Variable in class elki.clustering.hierarchical.MiniMaxAnderberg.Instance
Cache: best distance
BestFitEstimator - Class in elki.math.statistics.distribution.estimator.meta
A meta estimator that will try a number of (inexpensive) estimations, then choose whichever works best.
BestFitEstimator() - Constructor for class elki.math.statistics.distribution.estimator.meta.BestFitEstimator
Constructor.
BestFitEstimator.Par - Class in elki.math.statistics.distribution.estimator.meta
Parameterization class.
besti - Variable in class elki.clustering.hierarchical.Anderberg.Instance
Cache: index of best distance
besti - Variable in class elki.clustering.hierarchical.MiniMaxAnderberg.Instance
Cache: index of best distance
BestOfMultipleKMeans<V extends NumberVector,​M extends MeanModel> - Class in elki.clustering.kmeans
Run K-Means multiple times, and keep the best run.
BestOfMultipleKMeans(int, KMeans<V, M>, KMeansQualityMeasure<? super V>) - Constructor for class elki.clustering.kmeans.BestOfMultipleKMeans
Constructor.
bestPivot(int, int, int, int, int, int) - Static method in class elki.database.ids.QuickSelectDBIDs
Choose the best pivot for the given rank.
bestPivot(int, int, int, int, int, int) - Static method in class elki.utilities.datastructures.QuickSelect
Choose the best pivot for the given rank.
bestSorting - Variable in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
Indicates whether the sorting according to maximal or to minimal value has been used for choosing the split axis and split point.
bestSubspace(List<Subspace>, Subspace, TreeMap<Subspace, List<Cluster<Model>>>) - Method in class elki.clustering.subspace.SUBCLU
Determines the d-dimensional subspace of the (d+1) -dimensional candidate with minimal number of objects in the cluster.
beta - Variable in class elki.clustering.hierarchical.linkage.FlexibleBetaLinkage
Beta parameter
beta - Variable in class elki.clustering.hierarchical.linkage.FlexibleBetaLinkage.Par
Beta parameter
beta - Variable in class elki.clustering.subspace.DOC
Balancing parameter for importance of points vs. dimensions
beta - Variable in class elki.clustering.subspace.DOC.Par
Balancing parameter for importance of points vs. dimensions
beta - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
 
beta - Variable in class elki.math.statistics.dependence.MCDEDependence
Parameter that specifies the size of the marginal restriction.
beta - Variable in class elki.math.statistics.dependence.MCDEDependence.Par
Holds the value of MCDEDependence.Par.BETA_ID .
beta - Variable in class elki.math.statistics.distribution.BetaDistribution
Shape parameter of beta distribution
beta - Variable in class elki.math.statistics.distribution.BetaDistribution.Par
Parameters.
beta - Variable in class elki.math.statistics.distribution.GumbelDistribution
Shape parameter beta.
beta - Variable in class elki.outlier.clustering.CBLOF
The minimal ratio between two consecutive clusters (when ordered descending by size) at which the boundary between the large and small clusters is set.
BETA_ID - Static variable in class elki.clustering.hierarchical.linkage.FlexibleBetaLinkage.Par
Lance-Williams flexible beta parameter.
BETA_ID - Static variable in class elki.clustering.subspace.DOC.Par
Balancing parameter for importance of points vs. dimensions
BETA_ID - Static variable in class elki.math.statistics.dependence.MCDEDependence.Par
Parameter that specifies the size of the marginal restriction.
BETA_ID - Static variable in class elki.math.statistics.distribution.BetaDistribution.Par
Beta parameter.
BetaDistribution - Class in elki.math.statistics.distribution
Beta Distribution with implementation of the regularized incomplete beta function
BetaDistribution(double, double) - Constructor for class elki.math.statistics.distribution.BetaDistribution
Constructor.
BetaDistribution.Par - Class in elki.math.statistics.distribution
Parameterization class
betaPWM(A, NumberArrayAdapter<?, A>, int) - Static method in class elki.math.statistics.ProbabilityWeightedMoments
Compute the beta_r factors using the method of probability-weighted moments.
BetulaClusterModel - Interface in elki.clustering.em.models
Models usable in Betula EM clustering.
BetulaClusterModelFactory<M extends BetulaClusterModel> - Interface in elki.clustering.em.models
Factory for initializing the EM models.
BetulaDiagonalGaussianModelFactory - Class in elki.clustering.em.models
Factory for EM with multivariate gaussian models using diagonal matrixes.
BetulaDiagonalGaussianModelFactory(AbstractCFKMeansInitialization) - Constructor for class elki.clustering.em.models.BetulaDiagonalGaussianModelFactory
Constructor.
BetulaDiagonalGaussianModelFactory.Par - Class in elki.clustering.em.models
Parameterization class
BetulaGMM - Class in elki.clustering.em
Clustering by expectation maximization (EM-Algorithm), also known as Gaussian Mixture Modeling (GMM), with optional MAP regularization.
BetulaGMM(CFTree.Factory<?>, double, int, int, boolean, BetulaClusterModelFactory<?>, double) - Constructor for class elki.clustering.em.BetulaGMM
Constructor.
BetulaGMM.Par - Class in elki.clustering.em
Parameterizer
BetulaGMMWeighted - Class in elki.clustering.em
Clustering by expectation maximization (EM-Algorithm), also known as Gaussian Mixture Modeling (GMM), with optional MAP regularization.
BetulaGMMWeighted(CFTree.Factory<?>, double, int, int, boolean, BetulaClusterModelFactory<?>, double) - Constructor for class elki.clustering.em.BetulaGMMWeighted
Constructor.
BetulaGMMWeighted.Par - Class in elki.clustering.em
Parameterizer
BetulaLeafPreClustering - Class in elki.clustering
BETULA-based clustering algorithm that simply treats the leafs of the CFTree as clusters.
BetulaLeafPreClustering(CFTree.Factory<?>, boolean) - Constructor for class elki.clustering.BetulaLeafPreClustering
Constructor.
BetulaLeafPreClustering.Par - Class in elki.clustering
Parameterization class.
BetulaLloydKMeans - Class in elki.clustering.kmeans
BIRCH/BETULA-based clustering algorithm that simply treats the leafs of the CFTree as clusters.
BetulaLloydKMeans(int, int, CFTree.Factory<?>, AbstractCFKMeansInitialization, boolean, boolean) - Constructor for class elki.clustering.kmeans.BetulaLloydKMeans
Constructor.
BetulaLloydKMeans.Par - Class in elki.clustering.kmeans
Parameterization class.
BetulaMultivariateGaussianModelFactory - Class in elki.clustering.em.models
Factory for EM with multivariate gaussian models using diagonal matrixes.
BetulaMultivariateGaussianModelFactory(AbstractCFKMeansInitialization) - Constructor for class elki.clustering.em.models.BetulaMultivariateGaussianModelFactory
Constructor.
BetulaMultivariateGaussianModelFactory.Par - Class in elki.clustering.em.models
Parameterization class
BetulaSphericalGaussianModelFactory - Class in elki.clustering.em.models
Factory for EM with multivariate gaussian models using a single variance.
BetulaSphericalGaussianModelFactory(AbstractCFKMeansInitialization) - Constructor for class elki.clustering.em.models.BetulaSphericalGaussianModelFactory
Constructor.
BetulaSphericalGaussianModelFactory.Par - Class in elki.clustering.em.models
Parameterization class
Bfinal - Variable in class elki.utilities.scaling.outlier.SigmoidOutlierScaling
Sigmoid parameter
bias - Variable in class elki.similarity.kernel.PolynomialKernel
Bias of the similarity function.
bias - Variable in class elki.similarity.kernel.PolynomialKernel.Par
Bias parameter.
bias - Variable in class elki.timeseries.SigniTrendChangeDetection
Bias for small values.
bias - Variable in class elki.timeseries.SigniTrendChangeDetection.Par
Bias for small values.
BIAS_ID - Static variable in class elki.similarity.kernel.PolynomialKernel.Par
Bias parameter.
BIAS_ID - Static variable in class elki.timeseries.SigniTrendChangeDetection.Par
Bias adjustment for chance
bibkey() - Method in annotation type elki.utilities.documentation.Reference
BibTeX key.
BiclusterCandidate(int, int) - Constructor for class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Constructor.
biclustering() - Method in class elki.clustering.biclustering.AbstractBiclustering
Run the actual biclustering algorithm.
biclustering() - Method in class elki.clustering.biclustering.ChengAndChurch
 
BiclusterModel - Class in elki.data.model
Wrapper class to provide the basic properties of a Bicluster.
BiclusterModel(int[]) - Constructor for class elki.data.model.BiclusterModel
Defines a new Bicluster for given parameters.
BiclusterWithInversionsModel - Class in elki.data.model
This code was factored out of the Bicluster class, since not all biclusters have inverted rows.
BiclusterWithInversionsModel(int[], DBIDs) - Constructor for class elki.data.model.BiclusterWithInversionsModel
 
bin - Variable in class elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
Current bin number
BIN - Static variable in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance
Generic tag to indicate the type of element.
binary - Variable in class elki.utilities.scaling.outlier.TopKOutlierScaling
Do a binary decision
binary - Variable in class elki.utilities.scaling.outlier.TopKOutlierScaling.Par
Do a binary decision
BINARY_ID - Static variable in class elki.utilities.scaling.outlier.TopKOutlierScaling.Par
Parameter to specify the lambda value
binary_svc_probability(DataSet, double, double) - Method in class elki.svm.AbstractSVC
 
binarySearch(DBIDRef) - Method in interface elki.database.ids.ArrayDBIDs
Search for the position of the given key, assuming that the data set is sorted.
binarySearch(DBIDRef) - Method in class elki.database.ids.EmptyDBIDs
 
binarySearch(DBIDRef) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
binarySearch(DBIDRef) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
 
binarySearch(DBIDRef) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs
 
binarySearch(DBIDRef) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
 
binarySearch(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBID
 
binarySearch(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDPair
 
binarySearch(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice
 
binarySearch(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDRange
 
binarySearch(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDVar
 
binarySearch(DBIDRef) - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
 
binarySearch(ModifiableDoubleDBIDList, DoubleDBIDListIter, double) - Static method in class elki.index.idistance.InMemoryIDistanceIndex
Seek an iterator to the desired position, using binary search.
binarySearch(List<SparseItemset>, SparseItemset, int, int) - Method in class elki.itemsetmining.APRIORI
Binary-search for the next-larger element.
binarySplitSort(List<? extends SpatialComparable>, int, int, int, int, int[], BinarySplitSpatialSorter.Sorter) - Method in class elki.math.spacefillingcurves.BinarySplitSpatialSorter
Sort the array using a binary split in dimension curdim, then recurse with the next dimension.
BinarySplitSpatialSorter - Class in elki.math.spacefillingcurves
Spatially sort the data set by repetitive binary splitting, circulating through the dimensions.
BinarySplitSpatialSorter() - Constructor for class elki.math.spacefillingcurves.BinarySplitSpatialSorter
Constructor, use BinarySplitSpatialSorter.STATIC instead!
BinarySplitSpatialSorter.Par - Class in elki.math.spacefillingcurves
Parameterization class.
BinarySplitSpatialSorter.Sorter - Class in elki.math.spacefillingcurves
Comparator for sorting spatial objects by the mean value in a single dimension.
binomialCoefficient(long, long) - Static method in class elki.math.MathUtil
Binomial coefficient, also known as "n choose k".
bins - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram
Number of bins
bins - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par
Number of bins
bins - Variable in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Par
Number of bins to use in the histogram.
BINS - Static variable in class elki.clustering.correlation.LMCLUS
Histogram resolution
BINS_ID - Static variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par
number of bins for the histogram
binsize - Variable in class elki.utilities.datastructures.histogram.AbstractStaticHistogram
Width of a bin.
BIRCHAbsorptionCriterion - Interface in elki.clustering.hierarchical.birch
BIRCH absorption criterion.
BIRCHAverageInterclusterDistance - Class in elki.index.tree.betula.distance
Average intercluster distance.
BIRCHAverageInterclusterDistance() - Constructor for class elki.index.tree.betula.distance.BIRCHAverageInterclusterDistance
 
BIRCHAverageInterclusterDistance.Par - Class in elki.index.tree.betula.distance
Parameterization class.
BIRCHAverageIntraclusterDistance - Class in elki.index.tree.betula.distance
Average intracluster distance.
BIRCHAverageIntraclusterDistance() - Constructor for class elki.index.tree.betula.distance.BIRCHAverageIntraclusterDistance
 
BIRCHAverageIntraclusterDistance.Par - Class in elki.index.tree.betula.distance
Parameterization class.
BIRCHCF - Class in elki.index.tree.betula.features
Clustering Feature of BIRCH, only for comparison
BIRCHCF(int) - Constructor for class elki.index.tree.betula.features.BIRCHCF
Constructor.
BIRCHCF.Factory - Class in elki.index.tree.betula.features
Factory for making cluster features.
BIRCHCF.Factory.Par - Class in elki.index.tree.betula.features
Parameterization class.
BIRCHDistance - Interface in elki.clustering.hierarchical.birch
Distance function for BIRCH clustering.
BIRCHKMeansPlusPlus - Class in elki.clustering.hierarchical.birch
K-Means++-like initialization for BIRCH k-means; this cannot be used to initialize regular k-means, use KMeansPlusPlus instead.
BIRCHKMeansPlusPlus(RandomFactory) - Constructor for class elki.clustering.hierarchical.birch.BIRCHKMeansPlusPlus
Constructor.
BIRCHKMeansPlusPlus.Par - Class in elki.clustering.hierarchical.birch
Parameterization class.
BIRCHLeafClustering - Class in elki.clustering.hierarchical.birch
BIRCH-based clustering algorithm that simply treats the leafs of the CFTree as clusters.
BIRCHLeafClustering(CFTree.Factory) - Constructor for class elki.clustering.hierarchical.birch.BIRCHLeafClustering
Constructor.
BIRCHLeafClustering.Par - Class in elki.clustering.hierarchical.birch
Parameterization class.
BIRCHLloydKMeans - Class in elki.clustering.hierarchical.birch
BIRCH-based clustering algorithm that simply treats the leafs of the CFTree as clusters.
BIRCHLloydKMeans(CFTree.Factory, int, int, BIRCHKMeansPlusPlus) - Constructor for class elki.clustering.hierarchical.birch.BIRCHLloydKMeans
Constructor.
BIRCHLloydKMeans.Par - Class in elki.clustering.hierarchical.birch
Parameterization class.
BIRCHRadiusDistance - Class in elki.index.tree.betula.distance
Average Radius (R) criterion.
BIRCHRadiusDistance() - Constructor for class elki.index.tree.betula.distance.BIRCHRadiusDistance
 
BIRCHRadiusDistance.Par - Class in elki.index.tree.betula.distance
Parameterization class
BIRCHVarianceIncreaseDistance - Class in elki.index.tree.betula.distance
Variance increase distance.
BIRCHVarianceIncreaseDistance() - Constructor for class elki.index.tree.betula.distance.BIRCHVarianceIncreaseDistance
 
BIRCHVarianceIncreaseDistance.Par - Class in elki.index.tree.betula.distance
Parameterization class.
BisectingKMeans<V extends NumberVector,​M extends MeanModel> - Class in elki.clustering.kmeans
The bisecting k-means algorithm works by starting with an initial partitioning into two clusters, then repeated splitting of the largest cluster to get additional clusters.
BisectingKMeans(int, KMeans<V, M>) - Constructor for class elki.clustering.kmeans.BisectingKMeans
Constructor.
bit - Variable in class elki.data.Bit
Internal representation of the bit value.
bit - Variable in enum elki.visualization.VisualizationTask.RenderFlag
Bit.
bit - Variable in enum elki.visualization.VisualizationTask.UpdateFlag
Bit.
Bit - Class in elki.data
A boolean number type.
Bit(boolean) - Constructor for class elki.data.Bit
Deprecated.
Use Bit.valueOf(java.lang.String) to save memory.
Bit(int) - Constructor for class elki.data.Bit
Deprecated.
Use Bit.valueOf(java.lang.String) to save memory.
BIT_DEFAULT_VALUE - Static variable in class elki.gui.util.DynamicParameters
Bit for an option with a default value
BIT_INCOMPLETE - Static variable in class elki.gui.util.DynamicParameters
Bit for an option that should be set
BIT_INVALID - Static variable in class elki.gui.util.DynamicParameters
Bit for an option with an invalid value
BIT_OPTIONAL - Static variable in class elki.gui.util.DynamicParameters
Bit for an optional value
BIT_PATTERN - Static variable in class elki.data.Bit
Pattern defining valid bit values.
BIT_SYNTAX_ERROR - Static variable in class elki.gui.util.DynamicParameters
Bit for an option containing an syntax error
BIT_VECTOR - Static variable in class elki.data.type.TypeUtil
Input type for algorithms that require bit vectors.
BIT_VECTOR_FIELD - Static variable in class elki.data.type.TypeUtil
Input type for algorithms that require bit vector fields.
bits - Variable in class elki.data.BitVector
Storing the bits.
bits - Variable in class elki.math.spacefillingcurves.HilbertSpatialSorter.HilbertRef
Hilbert representation.
bits - Variable in class elki.outlier.meta.HiCS.HiCSSubspace
Subspace bitset.
BitsUtil - Class in elki.utilities.datastructures
Utilities for bit operations.
BitsUtil() - Constructor for class elki.utilities.datastructures.BitsUtil
Private constructor.
bitValue() - Method in class elki.data.Bit
Returns the bit value as a boolean.
BitVector - Class in elki.data
Vector using a dense bit set encoding, based on long[] storage.
BitVector(long[], int) - Constructor for class elki.data.BitVector
Create a new BitVector corresponding to the specified bits and of the specified dimensionality.
BitVector.Factory - Class in elki.data
Factory for bit vectors.
BitVector.Factory.Par - Class in elki.data
Parameterization class.
BitVector.ShortSerializer - Class in elki.data
Serialization class for dense integer vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
BitVectorLabelParser - Class in elki.datasource.parser
Parser for parsing one BitVector per line, bits separated by whitespace.
BitVectorLabelParser(CSVReaderFormat) - Constructor for class elki.datasource.parser.BitVectorLabelParser
Constructor.
BitVectorLabelParser.Par - Class in elki.datasource.parser
Parameterization class.
BiweightKernelDensityFunction - Class in elki.math.statistics.kernelfunctions
Biweight (Quartic) kernel density estimator.
BiweightKernelDensityFunction() - Constructor for class elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction
Private, empty constructor.
BiweightKernelDensityFunction.Par - Class in elki.math.statistics.kernelfunctions
Parameterization stub.
BlockArrayRunner(ArrayDBIDs, int, int, Processor[]) - Constructor for class elki.parallel.ParallelExecutor.BlockArrayRunner
Constructor.
booktitle() - Method in annotation type elki.utilities.documentation.Reference
Book title or Journal title etc.
booleanValue(int) - Method in class elki.data.BitVector
Get the value of a single bit.
boost - Variable in class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization
Boosting factor, and scaling coefficient.
boost - Variable in class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Par
Boosting factor.
BOOST_ID - Static variable in class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Par
Boosting factor parameter.
BOOTSTRAP_ID - Static variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Par
Number of samples for bootstrap significance.
bootstrapConfidence(int, int, double) - Method in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance
Calculates the confidence for the most probable change point of the given timer series.
bootstrapSamples - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm
Number of samples for bootstrap significance.
bootstrapSamples - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Par
Number of samples for bootstrap significance.
Border - Class in elki.clustering.dbscan.util
Border point assignment.
Border(Core) - Constructor for class elki.clustering.dbscan.util.Border
Constructor.
borders - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance
Border identifier objects (shared to conserve memory).
borders - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance
Border objects (shared)
bottomleft - Variable in class elki.math.geometry.FilteredConvexHull2D
Top-left point
bottomright - Variable in class elki.math.geometry.FilteredConvexHull2D
Top-left point
bottomy - Variable in class elki.math.geometry.FilteredConvexHull2D
Left bound
BOUNDED_MIDPOINT - elki.clustering.kmeans.KDTreePruningKMeans.Split
Prefer a split halfway between minimum and maximum, but bound the unbalancedness by a ratio of 1:3.
BoundedMidpointSplit - Class in elki.index.tree.spatial.kd.split
Bounded midpoint splitting.
BoundedMidpointSplit() - Constructor for class elki.index.tree.spatial.kd.split.BoundedMidpointSplit
 
BoundedMidpointSplit.Par - Class in elki.index.tree.spatial.kd.split
Parameterizer
BoundingBoxVisualization - Class in elki.visualization.visualizers.parallel
Draw spatial objects (except vectors!)
BoundingBoxVisualization() - Constructor for class elki.visualization.visualizers.parallel.BoundingBoxVisualization
Constructor.
BoundingBoxVisualization.Instance - Class in elki.visualization.visualizers.parallel
Instance for a particular data set.
bounds - Variable in class elki.clustering.subspace.clique.CLIQUEUnit
The bounding values (min, max) for each dimension.
bounds - Variable in class elki.data.uncertain.AbstractUncertainObject
Bounding box of the object.
bounds - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.PrioritySearchBranch
Current bounds
boundSize(HashSetModifiableDBIDs, int) - Method in class elki.index.preprocessed.knn.NNDescent
Bound the size of a set by random sampling.
boxRadius(int, int, int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures
boxRadius function calculate the Boxradius
bpp - Variable in class elki.distance.colorhistogram.RGBHistogramQuadraticDistance.Par
Bits per color plane.
BPP_ID - Static variable in class elki.distance.colorhistogram.HSBHistogramQuadraticDistance.Par
Parameter for the kernel dimensionality.
BPP_ID - Static variable in class elki.distance.colorhistogram.RGBHistogramQuadraticDistance.Par
Parameter for the kernel dimensionality.
BRANCHING_ID - Static variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par
Branching factor.
BRANCHING_ID - Static variable in class elki.index.tree.betula.CFTree.Factory.Par
Branching factor.
branchingFactor - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory
Maximum branching factor of CFTree.
branchingFactor - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par
Maximum branching factor of CFTree.
branchingFactor - Variable in class elki.index.tree.betula.CFTree.Factory
Maximum branching factor of CFTree.
branchingFactor - Variable in class elki.index.tree.betula.CFTree.Factory.Par
Maximum branching factor of CFTree.
BrayCurtisDistance - Class in elki.distance
Bray-Curtis distance function / Sørensen–Dice coefficient for continuous vector spaces (not only binary data).
BrayCurtisDistance() - Constructor for class elki.distance.BrayCurtisDistance
Deprecated.
Use BrayCurtisDistance.STATIC_CONTINUOUS instance instead.
BrayCurtisDistance.Par - Class in elki.distance
Parameterization class.
breadth - Variable in class elki.outlier.meta.FeatureBagging
Cumulative sum or breadth first combinations.
breadth - Variable in class elki.outlier.meta.FeatureBagging.Par
Cumulative sum or breadth first combinations.
BREADTH_ID - Static variable in class elki.outlier.meta.FeatureBagging.Par
The flag for using the breadth first approach.
BreadthFirstEnumeration<N extends Node<E>,​E> - Class in elki.index.tree
Breadth first enumeration over the nodes of an index structure.
BreadthFirstEnumeration(IndexTree<N, E>, IndexTreePath<E>) - Constructor for class elki.index.tree.BreadthFirstEnumeration
Creates a new breadth first enumeration with the specified node as root node.
breakNoiseClusters - Variable in class elki.evaluation.clustering.ClusterContingencyTable
Noise cluster handling
bstrap - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance
Temporary storage for bootstrap testing.
BUBBLE - Static variable in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
Generic tag to indicate the type of element.
BUBBLEPLOT - Static variable in interface elki.visualization.style.StyleLibrary
Bubble size
BubbleVisualization - Class in elki.visualization.visualizers.scatterplot.outlier
Generates a SVG-Element containing bubbles.
BubbleVisualization(BubbleVisualization.Par) - Constructor for class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
Constructor.
BubbleVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.outlier
Factory for producing bubble visualizations
BubbleVisualization.Par - Class in elki.visualization.visualizers.scatterplot.outlier
Parameterization class.
BUCKETS_ID - Static variable in class elki.index.lsh.InMemoryLSHIndex.Par
Number of hash tables to use for LSH.
buf - Variable in class elki.data.projection.random.AbstractRandomProjectionFamily.MatrixProjection
Shared buffer to use during projections.
buf - Variable in class elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection
Shared buffer to use during projections.
buf - Variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
Projection buffer.
buf - Variable in class elki.datasource.parser.BitVectorLabelParser
Buffer, will be reused.
buf - Variable in class elki.datasource.parser.SimpleTransactionParser
Buffer, will be reused.
buf - Variable in class elki.utilities.io.BufferedLineReader
The buffer we read the data into.
buf - Variable in class elki.visualization.svg.SVGPath
String buffer for building the path.
buf1 - Variable in class elki.datasource.parser.ClusteringVectorParser
Buffers, will be reused.
buffer - Variable in class elki.datasource.bundle.BundleReader
The stream buffer.
buffer - Variable in class elki.utilities.io.ByteBufferInputStream
The actual buffer we're using.
buffer - Variable in class elki.utilities.io.ByteBufferOutputStream
The actual buffer we're using.
buffer - Variable in class elki.utilities.io.LineReader
Character buffer
BUFFER_SIZE - Static variable in class elki.utilities.io.LineReader
Default buffer size to use
BufferedLineReader - Class in elki.utilities.io
Class for buffered IO, avoiding some of the overheads of the Java API.
BufferedLineReader() - Constructor for class elki.utilities.io.BufferedLineReader
Constructor.
BufferedLineReader(LineReader) - Constructor for class elki.utilities.io.BufferedLineReader
Constructor.
BufferedLineReader(InputStream) - Constructor for class elki.utilities.io.BufferedLineReader
Constructor.
BufferedLineReader(InputStreamReader) - Constructor for class elki.utilities.io.BufferedLineReader
Constructor.
build() - Method in class elki.utilities.ELKIBuilder
Instantiate, consuming the parameter list.
build(int, double[][]) - Static method in class elki.projection.BarnesHutTSNE.QuadTree
Construct the quad tree approximation.
build(int, double[][], int, int) - Static method in class elki.projection.BarnesHutTSNE.QuadTree
Recursive build function.
build(int, int, int) - Method in class elki.outlier.density.IsolationForest.ForestBuilder
Recursively build the tree
build(ClusterOrder, DBIDArrayIter) - Method in class elki.clustering.optics.OPTICSXi.ClusterHierarchyBuilder
Build the main clustering result.
build(SVGPlot, double, double, double, double) - Method in class elki.visualization.svg.SVGScoreBar
Build the actual element
build(List<Class<?>>, String) - Static method in class elki.gui.util.ClassTree
Build the class tree for a given set of choices.
BUILD<O> - Class in elki.clustering.kmedoids.initialization
PAM initialization for k-means (and of course, for PAM).
BUILD() - Constructor for class elki.clustering.kmedoids.initialization.BUILD
Constructor.
BUILD.Par<V> - Class in elki.clustering.kmedoids.initialization
Parameterization class.
buildClassifier(Database, Relation<? extends ClassLabel>) - Method in interface elki.classification.Classifier
Performs the training.
buildClassifier(Database, Relation<? extends ClassLabel>) - Method in class elki.classification.KNNClassifier
 
buildClassifier(Database, Relation<? extends ClassLabel>) - Method in class elki.classification.PriorProbabilityClassifier
Learns the prior probability for all classes.
buildDB(int, double[][], DBIDs, Relation<ParameterizationFunction>) - Method in class elki.clustering.correlation.CASH
Builds a dim-1 dimensional database where the objects are projected into the specified subspace.
buildDerivatorDB(Relation<ParameterizationFunction>, DBIDs) - Method in class elki.clustering.correlation.CASH
Builds a database for the derivator consisting of the ids in the specified interval.
buildDistanceMatrix(ArrayDBIDs, DistanceQuery<?>) - Method in class elki.projection.GaussianAffinityMatrixBuilder
Build a distance matrix of squared distances.
builder - Variable in class elki.clustering.hierarchical.AGNES.Instance
Cluster result builder
Builder() - Constructor for class elki.index.tree.metrical.vptree.VPTree.Builder
Constructor.
buildFlat(int, FiniteProgress) - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance
Build a flat clustering.
buildFPTree(Relation<BitVector>, int[], int) - Method in class elki.itemsetmining.FPGrowth
Build the actual FP-tree structure.
buildFrequentOneItemsets(Relation<? extends SparseFeatureVector<?>>, int, int) - Method in class elki.itemsetmining.APRIORI
Build the 1-itemsets.
buildFrequentTwoItemsets(List<OneItemset>, Relation<BitVector>, int, int, DBIDs, ArrayModifiableDBIDs) - Method in class elki.itemsetmining.APRIORI
Build the 2-itemsets.
buildGrid(Relation<V>, int, double[]) - Method in class elki.clustering.dbscan.GriDBSCAN.Instance
Build the data grid.
buildHierarchical(int, FiniteProgress) - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance
Build a hierarchical clustering.
buildHierarchy(Clustering<CorrelationModel>, List<List<Cluster<CorrelationModel>>>, ERiCNeighborPredicate.Instance) - Method in class elki.clustering.correlation.ERiC
 
buildHierarchy(Relation<? extends NumberVector>, Clustering<SubspaceModel>, List<Cluster<SubspaceModel>>, int) - Method in class elki.clustering.subspace.DiSH
Builds the cluster hierarchy.
buildHullsRecursively(Cluster<Model>, Hierarchy<Cluster<Model>>, Map<Object, DoubleObjPair<Polygon>>) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization.Instance
Recursively step through the clusters to build the hulls.
buildHullsRecursively(Cluster<Model>, Hierarchy<Cluster<Model>>, Map<Object, DoubleObjPair<Polygon>>, Relation<? extends NumberVector>) - Method in class elki.result.KMLOutputHandler
Recursively step through the clusters to build the hulls.
buildIndex(int[], int[], int) - Method in class elki.itemsetmining.FPGrowth
Build a forward map, item id (dimension) to frequency position
buildIndex(int, int) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher
Build a length index by binary search.
buildIndex(Relation<BitVector>, int, int) - Method in class elki.itemsetmining.Eclat
 
buildIndex(HySortOD.TreeStrategy.Node, int) - Method in class elki.outlier.density.HySortOD.TreeStrategy
Recursive build index.
buildIndex(List<HySortOD.Hypercube>) - Method in class elki.outlier.density.HySortOD.DensityStrategy
Construct the index for compute hypercube density according to a strategy.
buildIndex(List<HySortOD.Hypercube>) - Method in class elki.outlier.density.HySortOD.NaiveStrategy
 
buildIndex(List<HySortOD.Hypercube>) - Method in class elki.outlier.density.HySortOD.TreeStrategy
 
buildInitialModels(Relation<? extends NumberVector>, int) - Method in class elki.clustering.em.models.DiagonalGaussianModelFactory
 
buildInitialModels(Relation<? extends NumberVector>, int) - Method in class elki.clustering.em.models.MultivariateGaussianModelFactory
 
buildInitialModels(Relation<? extends NumberVector>, int) - Method in class elki.clustering.em.models.SphericalGaussianModelFactory
 
buildInitialModels(Relation<? extends NumberVector>, int) - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModelFactory
 
buildInitialModels(Relation<? extends NumberVector>, int) - Method in class elki.clustering.em.models.TextbookSphericalGaussianModelFactory
 
buildInitialModels(Relation<? extends NumberVector>, int) - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModelFactory
 
buildInitialModels(Relation<? extends O>, int) - Method in interface elki.clustering.em.models.EMClusterModelFactory
Build the initial models
buildInitialModels(List<? extends ClusterFeature>, int, CFTree<?>) - Method in interface elki.clustering.em.models.BetulaClusterModelFactory
Build the initial models.
buildInitialModels(List<? extends ClusterFeature>, int, CFTree<?>) - Method in class elki.clustering.em.models.BetulaDiagonalGaussianModelFactory
 
buildInitialModels(List<? extends ClusterFeature>, int, CFTree<?>) - Method in class elki.clustering.em.models.BetulaMultivariateGaussianModelFactory
 
buildInitialModels(List<? extends ClusterFeature>, int, CFTree<?>) - Method in class elki.clustering.em.models.BetulaSphericalGaussianModelFactory
 
buildLeafClusters(int, FiniteProgress) - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance
Prepare the leaf clusters by executing the first (size - 1 - split) merges.
buildMediansResult() - Method in class elki.clustering.kmeans.KMediansLloyd.Instance
 
buildMeta() - Method in class elki.datasource.parser.NumberVectorLabelParser
Update the meta element.
buildMeta() - Method in class elki.datasource.parser.SimplePolygonParser
Update the meta element.
buildOneDimIndexes(Relation<? extends NumberVector>) - Method in class elki.outlier.meta.HiCS
Calculates "index structures" for every attribute, i.e. sorts a ModifiableArray of every DBID in the database for every dimension and stores them in a list
buildPartitions(NumberArrayAdapter<?, A>, A, int, int) - Method in class elki.math.statistics.dependence.MaximumConditionalEntropy
Partitions an attribute.
buildRanges(Relation<? extends NumberVector>) - Method in class elki.outlier.subspace.AbstractAggarwalYuOutlier
Grid discretization of the data:
Each attribute of data is divided into phi equi-depth ranges.
Each range contains a fraction f=1/phi of the records.
buildResult() - Method in class elki.clustering.correlation.HiCO.Instance
 
buildResult() - Method in class elki.clustering.kmeans.AbstractKMeans.Instance
Build a standard k-means result, with known cluster variance sums.
buildResult() - Method in class elki.clustering.optics.GeneralizedOPTICS.Instance
Build the final result.
buildResult() - Method in class elki.clustering.subspace.DiSH.Instance
 
buildResult() - Method in class elki.clustering.subspace.HiSC.Instance
 
buildResult(boolean, Relation<? extends NumberVector>) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance
Build the result, recomputing the cluster variance if varstat is set to true.
buildResult(ArrayDBIDs, int[]) - Method in class elki.clustering.affinitypropagation.AffinityPropagation
Build the clustering result.
buildResult(DBIDs, int) - Method in class elki.clustering.dbscan.GriDBSCAN.Instance
Assemble the clustering result.
buildResultWithNoise() - Method in class elki.clustering.kmeans.KMeansMinusMinus.Instance
 
buildSolutionInfo(int, double, double) - Method in class elki.svm.solver.Solver
 
buildSpanningTree(int, double[], Layout) - Method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC
Build the minimum spanning tree.
buildTree(int[], int, int, ArrayList<N>) - Method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC
Recursive tree build method.
buildTree(int, int) - Method in class elki.index.tree.metrical.vptree.VPTree.Builder
Build the tree recursively
buildTree(int, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
Recursively build the tree by partial sorting.
buildTree(int, int, int, DoubleDBIDListMIter) - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree
Recursively build the tree by partial sorting.
buildTree(Relation<? extends NumberVector>, int, int, ArrayModifiableDBIDs, DBIDArrayMIter, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.MemoryKDTree
Build the k-d tree.
buildTree(GNAT.Node, DBIDs, int) - Method in class elki.index.tree.metrical.vptree.GNAT
builds the tree recursively
buildTreeBoundedMidpoint(Relation<? extends NumberVector>, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance
Build the k-d-tree using bounded midpoint splitting.
buildTreeMedian(Relation<? extends NumberVector>, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance
Build the k-d-tree using median splitting.
buildTreeMidpoint(Relation<? extends NumberVector>, int, int) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance
Build the k-d-tree using midpoint splitting.
buildTreeSSQ(Relation<? extends NumberVector>, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance
Build the k-d-tree using a variance-based splitting strategy.
bulkConstruct(DBIDRef, int, double, ModifiableDoubleDBIDList) - Method in class elki.index.tree.metrical.covertree.CoverTree
Bulk-load the cover tree.
bulkConstruct(DBIDRef, int, ModifiableDoubleDBIDList) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree
Bulk-load the cover tree.
bulkLoad(double[], double[], List<ALOCI.Node>, ArrayModifiableDBIDs, int, int, int, int, int) - Method in class elki.outlier.lof.ALOCI.ALOCIQuadTree
Bulk load the tree
bulkLoad(DBIDs) - Method in class elki.index.tree.metrical.covertree.CoverTree
Bulk-load the index.
bulkLoad(DBIDs) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree
Bulk-load the index.
bulkLoad(List<E>) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Performs a bulk load on this RTree with the specified data.
bulkLoad(List<E>) - Method in class elki.index.tree.spatial.rstarvariants.NonFlatRStarTree
 
bulkLoad(List<RdKNNEntry>) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
Performs a bulk load on this RTree with the specified data.
bulkLoad(List<SpatialEntry>) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree
Performs a bulk load on this RTree with the specified data.
BulkSplit - Interface in elki.index.tree.spatial.rstarvariants.strategies.bulk
Interface for a bulk split strategy.
bulkSplitter - Variable in class elki.index.tree.spatial.rstarvariants.RTreeSettings
The strategy for bulk load.
bundle - Variable in class elki.datasource.bundle.StreamFromBundle
Bundle to access
bundle - Variable in class elki.datasource.MultipleObjectsBundleDatabaseConnection
Bundle.
bundle - Variable in class elki.evaluation.classification.holdout.AbstractHoldout
Input data bundle.
BUNDLE_ID - Static variable in class elki.datasource.BundleDatabaseConnection.Par
Option ID for the bundle parameter.
BundleDatabaseConnection - Class in elki.datasource
Class to load a database from a bundle file.
BundleDatabaseConnection(List<? extends ObjectFilter>, Path) - Constructor for class elki.datasource.BundleDatabaseConnection
Constructor.
BundleDatabaseConnection.Par - Class in elki.datasource
Parameterization class.
BundleMeta - Class in elki.datasource.bundle
Store the package metadata in an array list.
BundleMeta() - Constructor for class elki.datasource.bundle.BundleMeta
Constructor.
BundleMeta(int) - Constructor for class elki.datasource.bundle.BundleMeta
Constructor.
BundleMeta(SimpleTypeInformation<?>...) - Constructor for class elki.datasource.bundle.BundleMeta
Constructor.
BundleReader - Class in elki.datasource.bundle
Read an ELKI bundle file into a data stream.
BundleReader(FileChannel) - Constructor for class elki.datasource.bundle.BundleReader
Constructor.
BundleReader(MappedByteBuffer) - Constructor for class elki.datasource.bundle.BundleReader
Constructor.
BundleStreamSource - Interface in elki.datasource.bundle
Soruce for a bundle stream
BundleStreamSource.Event - Enum in elki.datasource.bundle
Events
BundleWriter - Class in elki.datasource.bundle
Write an object bundle stream to a file channel.
BundleWriter() - Constructor for class elki.datasource.bundle.BundleWriter
 
butcss - Variable in class elki.visualization.svg.SVGButton
Class for the buttons main CSS
button - Variable in class elki.gui.configurator.ClassListParameterConfigurator
The button to open the file selector
button - Variable in class elki.gui.configurator.ClassParameterConfigurator
The button to open the file selector
button - Variable in class elki.gui.configurator.FileParameterConfigurator
The button to open the file selector
button - Variable in class elki.gui.util.ParameterTable.ClassListEditor
The button to open the file selector
button - Variable in class elki.gui.util.ParameterTable.FileNameEditor
The button to open the file selector
buttonsize - Variable in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
Button size
BY_COVERAGE - Static variable in class elki.clustering.subspace.clique.CLIQUESubspace
A partial comparator for CLIQUESubspaces based on their coverage.
BY_NAME_SORTER - Static variable in class elki.data.Cluster
A partial comparator for Clusters, based on their name.
ByDBID(DistanceQuery<O>) - Constructor for class elki.database.query.distance.LinearScanEuclideanPrioritySearcher.ByDBID
Constructor.
ByDBID(DistanceQuery<O>) - Constructor for class elki.database.query.distance.LinearScanPrioritySearcher.ByDBID
Constructor.
BYFIRST_COMPARATOR - Static variable in class elki.utilities.pairs.DoubleDoublePair
Comparator to compare by second component only
BYFIRST_COMPARATOR - Static variable in class elki.utilities.pairs.DoubleIntPair
Comparator to compare by first component only
BYFIRST_COMPARATOR - Static variable in class elki.utilities.pairs.IntDoublePair
Comparator to compare by second component only
BYFIRST_COMPARATOR - Static variable in class elki.utilities.pairs.IntIntPair
Comparator to compare by second component only
bylabel - Variable in class elki.application.greedyensemble.ComputeKNNOutlierScores
By label outlier detection - reference
bylabel - Variable in class elki.application.greedyensemble.ComputeKNNOutlierScores.Par
By label outlier -- reference
ByLabelClustering - Class in elki.clustering.trivial
Pseudo clustering using labels.
ByLabelClustering() - Constructor for class elki.clustering.trivial.ByLabelClustering
Constructor without parameters
ByLabelClustering(boolean, Pattern) - Constructor for class elki.clustering.trivial.ByLabelClustering
Constructor.
ByLabelClustering.Par - Class in elki.clustering.trivial
Parameterization class.
ByLabelFilter - Class in elki.datasource.filter.selection
A filter to select data set by their label.
ByLabelFilter(Pattern, boolean) - Constructor for class elki.datasource.filter.selection.ByLabelFilter
Constructor.
ByLabelFilter.Par - Class in elki.datasource.filter.selection
Parameterization class.
ByLabelHierarchicalClustering - Class in elki.clustering.trivial
Pseudo clustering using labels.
ByLabelHierarchicalClustering() - Constructor for class elki.clustering.trivial.ByLabelHierarchicalClustering
Constructor without parameters
ByLabelOrAllInOneClustering - Class in elki.clustering.trivial
Trivial class that will try to cluster by label, and fall back to an "all-in-one" clustering.
ByLabelOrAllInOneClustering() - Constructor for class elki.clustering.trivial.ByLabelOrAllInOneClustering
Constructor.
ByLabelOutlier - Class in elki.outlier.trivial
Trivial algorithm that marks outliers by their label.
ByLabelOutlier() - Constructor for class elki.outlier.trivial.ByLabelOutlier
Constructor.
ByLabelOutlier(Pattern) - Constructor for class elki.outlier.trivial.ByLabelOutlier
Constructor.
ByLabelOutlier.Par - Class in elki.outlier.trivial
Parameterization class.
ByModelClustering - Class in elki.clustering.trivial
Pseudo clustering using annotated models.
ByModelClustering() - Constructor for class elki.clustering.trivial.ByModelClustering
Constructor without parameters
ByModelClustering(Pattern) - Constructor for class elki.clustering.trivial.ByModelClustering
Constructor.
ByModelClustering.Par - Class in elki.clustering.trivial
Parameterization class.
ByObject(DistanceQuery<O>) - Constructor for class elki.database.query.distance.LinearScanEuclideanPrioritySearcher.ByObject
Constructor.
ByObject(DistanceQuery<O>) - Constructor for class elki.database.query.distance.LinearScanPrioritySearcher.ByObject
Constructor.
BYSECOND_COMPARATOR - Static variable in class elki.utilities.pairs.DoubleDoublePair
Comparator to compare by second component only
BYSECOND_COMPARATOR - Static variable in class elki.utilities.pairs.DoubleIntPair
Comparator to compare by second component only
BYSECOND_COMPARATOR - Static variable in class elki.utilities.pairs.IntDoublePair
Comparator to compare by second component only
BYSECOND_COMPARATOR - Static variable in class elki.utilities.pairs.IntIntPair
Comparator to compare by second component only
BYTE_ADAPTER - Static variable in class elki.utilities.datastructures.QuickSelect
Adapter for byte arrays.
BYTE_SERIALIZER - Static variable in class elki.data.ByteVector
Serializer for up to 127 dimensions.
BYTE_SERIALIZER - Static variable in class elki.data.DoubleVector
Serializer for up to 127 dimensions.
BYTE_SERIALIZER - Static variable in class elki.data.FloatVector
Serializer for up to 127 dimensions.
BYTE_SERIALIZER - Static variable in class elki.data.IntegerVector
Serializer for up to 127 dimensions.
BYTE_SERIALIZER - Static variable in class elki.utilities.io.ByteArrayUtil
Static instance.
BYTE0 - Static variable in class elki.data.SparseByteVector
Value to return for missing entires.
byteArrayToPage(byte[]) - Method in class elki.persistent.PersistentPageFile
Reconstruct a serialized object from the specified byte array.
ByteArrayUtil - Class in elki.utilities.io
Class with various utilities for manipulating byte arrays.
ByteArrayUtil() - Constructor for class elki.utilities.io.ByteArrayUtil
Fake constructor.
ByteArrayUtil.ByteSerializer - Class in elki.utilities.io
Serializer for byte objects.
ByteArrayUtil.DoubleSerializer - Class in elki.utilities.io
Serializer for double objects.
ByteArrayUtil.FloatSerializer - Class in elki.utilities.io
Serializer for float objects.
ByteArrayUtil.IntegerSerializer - Class in elki.utilities.io
Serializer for integer objects.
ByteArrayUtil.LongSerializer - Class in elki.utilities.io
Serializer for long objects.
ByteArrayUtil.ShortSerializer - Class in elki.utilities.io
Serializer for short objects.
ByteArrayUtil.StringSerializer - Class in elki.utilities.io
Serializer for String objects.
ByteArrayUtil.VarintSerializer - Class in elki.utilities.io
Serializer for Integer objects using a variable size encoding.
ByteBufferInputStream - Class in elki.utilities.io
Wrap an existing ByteBuffer as InputStream.
ByteBufferInputStream(ByteBuffer) - Constructor for class elki.utilities.io.ByteBufferInputStream
Constructor.
ByteBufferOutputStream - Class in elki.utilities.io
Wrap an existing ByteBuffer as OutputStream.
ByteBufferOutputStream(ByteBuffer) - Constructor for class elki.utilities.io.ByteBufferOutputStream
Constructor.
ByteBufferSerializer<T> - Interface in elki.utilities.io
Class to convert from and to byte arrays (in index structures).
byteBufferToPage(ByteBuffer) - Method in class elki.persistent.OnDiskArrayPageFile
Reconstruct a serialized object from the specified byte array.
byteOnDisk(int, int) - Static method in class elki.index.vafile.VectorApproximation
Computes IO costs (in bytes) needed for reading the candidates.
ByteSerializer() - Constructor for class elki.utilities.io.ByteArrayUtil.ByteSerializer
Constructor.
byteValue(int) - Method in class elki.data.ByteVector
 
byteValue(int) - Method in interface elki.data.NumberVector
Returns the value in the specified dimension as byte.
byteValue(int) - Method in class elki.data.SparseByteVector
 
byteValue(int) - Method in interface elki.data.SparseNumberVector
Deprecated.
As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterByteValue(int).
ByteVector - Class in elki.data
Vector using byte[] storage.
ByteVector(byte[]) - Constructor for class elki.data.ByteVector
Create an ByteVector consisting of the given Byte values.
ByteVector(byte[], boolean) - Constructor for class elki.data.ByteVector
Private constructor.
ByteVector.Factory - Class in elki.data
Factory for Byte vectors.
ByteVector.Factory.Par - Class in elki.data
Parameterization class.
ByteVector.ShortSerializer - Class in elki.data
Serialization class for dense Byte vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
ByteVector.SmallSerializer - Class in elki.data
Serialization class for dense Byte vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
ByteWeightedArrayDataSet - Class in elki.svm.data
This is an efficient array based data set implementation.
ByteWeightedArrayDataSet(DataSet, int) - Constructor for class elki.svm.data.ByteWeightedArrayDataSet
 
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