- b - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation
-
The parameters b0, ..., bp.
- b - Variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
-
Model parameters: major and minor radius.
- b - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
-
References to points in Delaunay2D.points
- b - Variable in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression
-
The (p+1 x 1) - double[] holding the estimated b-values (b0, b1, ...,
bp)^T.
- B1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
-
Coefficients for polynomial approximation
- B1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
-
- B1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
-
Polynomial approximation
- B1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
-
Polynomial approximation
- B1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLMMEstimator
-
Estimation constants
- B2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
-
Coefficients for polynomial approximation
- B2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
-
- B2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
-
Polynomial approximation
- B2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
-
Polynomial approximation
- B2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLMMEstimator
-
Estimation constants
- B3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
-
Coefficients for polynomial approximation
- B3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
-
- B3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
-
Polynomial approximation
- B3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
-
Polynomial approximation
- B3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLMMEstimator
-
Estimation constants
- B4 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
-
Coefficients for polynomial approximation
- BACKGROUND_COLOR - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
-
Background color
- bad - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA.CachedDistanceQuery
-
Number of uncacheable queries
- BADBOUND - Static variable in class de.lmu.ifi.dbs.elki.utilities.random.FastNonThreadsafeRandom
-
Exception message for non-positive bounds
- BADBOUND - Static variable in class de.lmu.ifi.dbs.elki.utilities.random.Xoroshiro128NonThreadsafeRandom
-
- BADBOUND - Static variable in class de.lmu.ifi.dbs.elki.utilities.random.XorShift1024NonThreadsafeRandom
-
Exception message for non-positive bounds
- BADBOUND - Static variable in class de.lmu.ifi.dbs.elki.utilities.random.XorShift64NonThreadsafeRandom
-
Exception message for non-positive bounds
- BalancedDistribution - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.distribution
-
Balanced entry distribution strategy of the M-tree.
- BalancedDistribution() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.distribution.BalancedDistribution
-
- bandSize - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction
-
Keeps the currently set bandSize.
- bandSize - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction.Parameterizer
-
Keeps the currently set bandSize.
- BANDSIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction.Parameterizer
-
Bandsize parameter.
- bandwidth - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering
-
Range of the kernel.
- BARHEIGHT - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization
-
Constant: height of score bars
- BARLENGTH - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization
-
Constant: width of score bars
- BarnesHutTSNE<O> - Class in de.lmu.ifi.dbs.elki.algorithm.projection
-
tSNE using Barnes-Hut-Approximation.
- BarnesHutTSNE(AffinityMatrixBuilder<? super O>, int, double, double, int, RandomFactory, boolean, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.projection.BarnesHutTSNE
-
Constructor.
- BarnesHutTSNE.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.projection
-
Parameterization class.
- BarnesHutTSNE.QuadTree - Class in de.lmu.ifi.dbs.elki.algorithm.projection
-
Quad Tree for use in a Barnes-Hut approximation.
- base - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
-
Base value
- base - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram
-
Array 'base', i.e. the point of 0.0.
- basedOnDatabase - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel
-
Database we ran last onn
- basedOnResult - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel
-
Result we ran last onn
- basedOnResult - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel
-
Result we ran last on
- basename - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
-
Base file name.
- baseResult - Variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations
-
Base result
- baseResult - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
-
Starting point of the result tree, may be null.
- baseStyle - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane
-
Base (default) style
- BasicOutlierScoreMeta - Class in de.lmu.ifi.dbs.elki.result.outlier
-
Basic outlier score.
- BasicOutlierScoreMeta(double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta
-
Constructor with actual values only.
- BasicOutlierScoreMeta(double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta
-
Constructor with all range values
- BasicOutlierScoreMeta(double, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta
-
Full constructor - all values.
- BasicResult - Class in de.lmu.ifi.dbs.elki.result
-
Basic class for a result.
- BasicResult(String, String) - Constructor for class de.lmu.ifi.dbs.elki.result.BasicResult
-
Result constructor.
- basis - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Separation
-
Basis of manifold
- basis - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ORCLUSCluster
-
The matrix defining the subspace of this cluster.
- batchNN(N, DBIDs, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree
-
- batchNN(AbstractRStarTreeNode<?, ?>, Map<DBID, KNNHeap>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNQuery
-
Performs a batch knn query.
- BATIK_DOM - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
-
Batik DOM implementation.
- BATIK_DOMS - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
-
DOM implementations to try.
- BatikUtil - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
-
Batik helper class with static methods.
- BatikUtil() - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.BatikUtil
-
Private constructor.
- BayesianInformationCriterion - Class in de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterion
-
- BayesianInformationCriterionZhao - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality
-
Different version of the BIC criterion.
- BayesianInformationCriterionZhao() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterionZhao
-
- bc - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
-
References to neighbor triangles
- BCubed - Class in de.lmu.ifi.dbs.elki.evaluation.clustering
-
BCubed measures.
- BCubed(ClusterContingencyTable) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed
-
Constructor.
- bcubed - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
-
BCubed measures
- bCubedPrecision - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed
-
Result cache
- bCubedRecall - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed
-
Result cache
- bearingDegDeg(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
-
Compute the bearing from start to end.
- bearingRad(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
-
Compute the bearing from start to end.
- becomeDefaultLogger() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane
-
Become the default logger.
- becomeDefaultLogger() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel
-
Become the default logger.
- begin - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
-
Fake length and offset.
- begin - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
-
Slice positions.
- begin - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
-
Slice positions.
- begin - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDSubList
-
Start offset.
- begin - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice
-
Slice positions.
- begin() - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Duration
-
Start the timer.
- begin - Variable in class de.lmu.ifi.dbs.elki.logging.statistics.MillisTimeDuration
-
Tracking variables.
- begin() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.MillisTimeDuration
-
- begin - Variable in class de.lmu.ifi.dbs.elki.logging.statistics.NanoDuration
-
Tracking variables.
- begin() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.NanoDuration
-
- beginEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel
-
- beginEStep() - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModel
-
Begin the E step.
- beginEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel
-
- beginEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel
-
- beginEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TextbookMultivariateGaussianModel
-
- beginEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModel
-
- beginStep(StepProgress, int, String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
-
Begin a new algorithm step (unless null).
- beginStep(int, String, Logging) - Method in class de.lmu.ifi.dbs.elki.logging.progress.StepProgress
-
Do a new step and log it
- bend - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Parameterizer
-
Use bend curves
- bestChangeInMean(double[], int, int) - Static method in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm
-
Find the best position to assume a change in mean.
- BestFit(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator.BestFit
-
Constructor.
- BestFitEstimator - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator
-
Constructor.
- BestFitEstimator.BestFit - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta
-
Class to track the best fit.
- BestFitEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta
-
Parameterization class.
- BestOfMultipleKMeans<V extends NumberVector,M extends MeanModel> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
-
Run K-Means multiple times, and keep the best run.
- BestOfMultipleKMeans(int, KMeans<V, M>, KMeansQualityMeasure<? super V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans
-
Constructor.
- BestOfMultipleKMeans.Parameterizer<V extends NumberVector,M extends MeanModel> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
-
Parameterization class.
- bestPivot(int, int, int, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.QuickSelectDBIDs
-
Choose the best pivot for the given rank.
- bestPivot(int, int, int, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Choose the best pivot for the given rank.
- bestSorting - Variable in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.FlexibleBetaLinkage
-
Beta parameter
- beta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.FlexibleBetaLinkage.Parameterizer
-
Beta parameter
- beta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC
-
Balancing parameter for importance of points vs. dimensions
- beta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer
-
Balancing parameter for importance of points vs. dimensions
- beta - Variable in class de.lmu.ifi.dbs.elki.algorithm.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 - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.CBLOF.Parameterizer
-
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 - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
-
- beta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
Shape parameter of beta distribution
- beta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution.Parameterizer
-
Parameters.
- beta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution
-
Shape parameter beta.
- BETA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.FlexibleBetaLinkage.Parameterizer
-
Lance-Williams flexible beta parameter.
- BETA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer
-
Balancing parameter for importance of points vs. dimensions
- BETA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.CBLOF.Parameterizer
-
Parameter to specify the beta value to be used by the algorithm.
- BETA_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution.Parameterizer
-
Beta parameter.
- BetaDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Beta Distribution with implementation of the regularized incomplete beta
function
- BetaDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
Constructor.
- BetaDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
Constructor.
- BetaDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
Constructor.
- BetaDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Parameterization class
- betaPWM(A, NumberArrayAdapter<?, A>, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.ProbabilityWeightedMoments
-
Compute the beta_r factors using the method of probability-weighted
moments.
- Bfinal - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScaling
-
Sigmoid parameter
- bias - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection
-
Bias for small values.
- bias - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection.Parameterizer
-
Bias for small values.
- bias - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
-
Bias of the similarity function.
- bias - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer
-
Bias parameter.
- BIAS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection.Parameterizer
-
Bias adjustment for chance
- BIAS_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer
-
Bias parameter.
- BiclusterCandidate(int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
-
Constructor.
- biclustering() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering
-
Run the actual biclustering algorithm.
- biclustering() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch
-
- BiclusterModel - Class in de.lmu.ifi.dbs.elki.data.model
-
Wrapper class to provide the basic properties of a Bicluster.
- BiclusterModel(int[]) - Constructor for class de.lmu.ifi.dbs.elki.data.model.BiclusterModel
-
Defines a new Bicluster for given parameters.
- BiclusterWithInversionsModel - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.data.model.BiclusterWithInversionsModel
-
- bin - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
-
Current bin number
- BIN - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance
-
Generic tag to indicate the type of element.
- binary - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling
-
Do a binary decision
- binary - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling.Parameterizer
-
Do a binary decision
- BINARY_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling.Parameterizer
-
Parameter to specify the lambda value
- binarySearch(List<SparseItemset>, SparseItemset, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
-
Binary-search for the next-larger element.
- binarySearch(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs
-
Search for the position of the given key, assuming that the data set is
sorted.
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
-
- binarySearch(ModifiableDoubleDBIDList, DoubleDBIDListIter, double) - Static method in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex
-
Seek an iterator to the desired position, using binary search.
- binarySplitSort(List<? extends SpatialComparable>, int, int, int, int, int[], BinarySplitSpatialSorter.Sorter) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.BinarySplitSpatialSorter
-
Sort the array using a binary split in dimension curdim, then recurse with
the next dimension.
- BinarySplitSpatialSorter - Class in de.lmu.ifi.dbs.elki.math.spacefillingcurves
-
Spatially sort the data set by repetitive binary splitting, circulating
through the dimensions.
- BinarySplitSpatialSorter() - Constructor for class de.lmu.ifi.dbs.elki.math.spacefillingcurves.BinarySplitSpatialSorter
-
- BinarySplitSpatialSorter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.spacefillingcurves
-
Parameterization class.
- BinarySplitSpatialSorter.Sorter - Class in de.lmu.ifi.dbs.elki.math.spacefillingcurves
-
Comparator for sorting spatial objects by the mean value in a single
dimension.
- binomialCoefficient(long, long) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
-
Binomial coefficient, also known as "n choose k".
- BINS - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS
-
Histogram resolution
- bins - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.ComputeOutlierHistogram
-
Number of bins
- bins - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.ComputeOutlierHistogram.Parameterizer
-
Number of bins
- bins - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Parameterizer
-
Number of bins to use in the histogram.
- BINS_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.ComputeOutlierHistogram.Parameterizer
-
number of bins for the histogram
- binsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram
-
Width of a bin.
- BIRCHAbsorptionCriterion - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch
-
BIRCH absorption criterion.
- BIRCHDistance - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch
-
Distance function for BIRCH clustering.
- BIRCHLeafClustering - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch
-
BIRCH-based clustering algorithm that simply treats the leafs of the CFTree
as clusters.
- BIRCHLeafClustering(CFTree.Factory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.BIRCHLeafClustering
-
Constructor.
- BIRCHLeafClustering.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch
-
Parameterization class.
- Bit - Class in de.lmu.ifi.dbs.elki.data
-
A boolean number type.
- Bit(boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.Bit
-
- Bit(int) - Constructor for class de.lmu.ifi.dbs.elki.data.Bit
-
- bit - Variable in class de.lmu.ifi.dbs.elki.data.Bit
-
Internal representation of the bit value.
- bit - Variable in enum de.lmu.ifi.dbs.elki.visualization.VisualizationTask.RenderFlag
-
Bit.
- bit - Variable in enum de.lmu.ifi.dbs.elki.visualization.VisualizationTask.UpdateFlag
-
Bit.
- BIT_DEFAULT_VALUE - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
-
Bit for an option with a default value
- BIT_INCOMPLETE - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
-
Bit for an option that should be set
- BIT_INVALID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
-
Bit for an option with an invalid value
- BIT_OPTIONAL - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
-
Bit for an optional value
- BIT_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.data.Bit
-
Pattern defining valid bit values.
- BIT_SYNTAX_ERROR - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
-
Bit for an option containing an syntax error
- BIT_VECTOR - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
-
Input type for algorithms that require bit vectors.
- BIT_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
-
Input type for algorithms that require bit vector fields.
- bits - Variable in class de.lmu.ifi.dbs.elki.data.BitVector
-
Storing the bits.
- bits - Variable in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter.HilbertRef
-
Hilbert representation.
- BitsUtil - Class in de.lmu.ifi.dbs.elki.utilities.datastructures
-
Utilities for bit operations.
- BitsUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil
-
Private constructor.
- bitValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit
-
Returns the bit value as a boolean.
- BitVector - Class in de.lmu.ifi.dbs.elki.data
-
Vector using a dense bit set encoding, based on long[] storage.
- BitVector(long[], int) - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector
-
Create a new BitVector corresponding to the specified bits and of the
specified dimensionality.
- BitVector.Factory - Class in de.lmu.ifi.dbs.elki.data
-
Factory for bit vectors.
- BitVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data
-
Parameterization class.
- BitVector.ShortSerializer - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.datasource.parser
-
Parser for parsing one BitVector per line, bits separated by whitespace.
- BitVectorLabelParser(CSVReaderFormat) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser
-
Constructor.
- BitVectorLabelParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser
-
Parameterization class.
- BiweightKernelDensityFunction - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions
-
Biweight (Quartic) kernel density estimator.
- BiweightKernelDensityFunction() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction
-
Private, empty constructor.
- BiweightKernelDensityFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions
-
Parameterization stub.
- BlockArrayRunner(ArrayDBIDs, int, int, Processor[]) - Constructor for class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor.BlockArrayRunner
-
Constructor.
- booleanValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
-
Get the value of a single bit.
- boost - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization
-
Boosting factor, and scaling coefficient.
- boost - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Parameterizer
-
Boosting factor.
- BOOST_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Parameterizer
-
Boosting factor parameter.
- BOOTSTRAP_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Parameterizer
-
Number of samples for bootstrap significance.
- bootstrapConfidence(int, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Instance
-
Calculates the confidence for the most probable change point of the given
timer series.
- bootstrapSamples - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm
-
Number of samples for bootstrap significance.
- bootstrapSamples - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Parameterizer
-
Number of samples for bootstrap significance.
- Border - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.util
-
Border point assignment.
- Border(Core) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.util.Border
-
Constructor.
- borders - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.parallel.ParallelGeneralizedDBSCAN.Instance
-
Border objects (shared)
- borders - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance
-
Border identifier objects (shared to conserve memory).
- bottomleft - Variable in class de.lmu.ifi.dbs.elki.math.geometry.FilteredConvexHull2D
-
Top-left point
- bottomright - Variable in class de.lmu.ifi.dbs.elki.math.geometry.FilteredConvexHull2D
-
Top-left point
- bottomy - Variable in class de.lmu.ifi.dbs.elki.math.geometry.FilteredConvexHull2D
-
Left bound
- BoundingBoxVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel
-
Draw spatial objects (except vectors!)
- BoundingBoxVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization
-
Constructor.
- BoundingBoxVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel
-
Instance for a particular data set.
- bounds - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
-
The bounding values (min, max) for each dimension.
- bounds - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.AbstractUncertainObject
-
Bounding box of the object.
- boundSize(HashSetModifiableDBIDs, int) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent
-
Bound the size of a set by random sampling.
- boxRadius(int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures
-
boxRadius function calculate the Boxradius
- bpp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction.Parameterizer
-
- BPP_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction.Parameterizer
-
Parameter for the kernel dimensionality.
- BPP_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction.Parameterizer
-
Parameter for the kernel dimensionality.
- BRANCHING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory.Parameterizer
-
Branching factor.
- branchingFactor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory
-
Maximum branching factor of CFTree.
- branchingFactor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory.Parameterizer
-
Maximum branching factor of CFTree.
- BrayCurtisDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
-
Bray-Curtis distance function / Sørensen–Dice coefficient for continuous
vector spaces (not only binary data).
- BrayCurtisDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction
-
- BrayCurtisDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
-
Parameterization class.
- breadth - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging
-
Cumulative sum or breadth first combinations.
- breadth - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer
-
Cumulative sum or breadth first combinations.
- BREADTH_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer
-
The flag for using the breadth first approach.
- BreadthFirstEnumeration<N extends Node<E>,E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree
-
Breadth first enumeration over the nodes of an index structure.
- BreadthFirstEnumeration(IndexTree<N, E>, IndexTreePath<E>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.BreadthFirstEnumeration
-
Creates a new breadth first enumeration with the specified node as root
node.
- breakNoiseClusters - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
-
Noise cluster handling
- bstrap - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Instance
-
Temporary storage for bootstrap testing.
- BUBBLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
-
Generic tag to indicate the type of element.
- BUBBLEPLOT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
-
Bubble size
- BubbleVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier
-
Generates a SVG-Element containing bubbles.
- BubbleVisualization(BubbleVisualization.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
-
Constructor.
- BubbleVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier
-
Factory for producing bubble visualizations
- BubbleVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier
-
Parameterization class.
- BUCKETS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer
-
Number of hash tables to use for LSH.
- buf - Variable in class de.lmu.ifi.dbs.elki.data.projection.random.AbstractRandomProjectionFamily.MatrixProjection
-
Shared buffer to use during projections.
- buf - Variable in class de.lmu.ifi.dbs.elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection
-
Shared buffer to use during projections.
- buf - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
-
Projection buffer.
- buf - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser
-
Buffer, will be reused.
- buf - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser
-
Buffer, will be reused.
- buf - Variable in class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader
-
The buffer we read the data into.
- buf - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
String buffer for building the path.
- buf1 - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser
-
Buffers, will be reused.
- buffer - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
-
The stream buffer.
- buffer - Variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteBufferInputStream
-
The actual buffer we're using.
- buffer - Variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteBufferOutputStream
-
The actual buffer we're using.
- buffer - Variable in class de.lmu.ifi.dbs.elki.utilities.io.LineReader
-
Character buffer
- BUFFER_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.LineReader
-
Default buffer size to use
- BufferedLineReader - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Class for buffered IO, avoiding some of the overheads of the Java API.
- BufferedLineReader() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader
-
Constructor.
- BufferedLineReader(LineReader) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader
-
Constructor.
- BufferedLineReader(InputStream) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader
-
Constructor.
- BufferedLineReader(InputStreamReader) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader
-
Constructor.
- build(int, double[][]) - Static method in class de.lmu.ifi.dbs.elki.algorithm.projection.BarnesHutTSNE.QuadTree
-
Construct the quad tree approximation.
- build(int, double[][], int, int) - Static method in class de.lmu.ifi.dbs.elki.algorithm.projection.BarnesHutTSNE.QuadTree
-
Recursive build function.
- build(List<Class<?>>, String) - Static method in class de.lmu.ifi.dbs.elki.gui.util.ClassTree
-
Build the class tree for a given set of choices.
- build() - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIBuilder
-
Instantiate, consuming the parameter list.
- build(SVGPlot, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar
-
Build the actual element
- buildClassifier(Database, Relation<? extends ClassLabel>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.classification.Classifier
-
Performs the training.
- buildClassifier(Database, Relation<? extends ClassLabel>) - Method in class de.lmu.ifi.dbs.elki.algorithm.classification.KNNClassifier
-
- buildClassifier(Database, Relation<? extends ClassLabel>) - Method in class de.lmu.ifi.dbs.elki.algorithm.classification.PriorProbabilityClassifier
-
Learns the prior probability for all classes.
- buildDB(int, double[][], DBIDs, Relation<ParameterizationFunction>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
-
Builds a dim-1 dimensional database where the objects are projected into
the specified subspace.
- buildDerivatorDB(Relation<ParameterizationFunction>, CASHInterval) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
-
Builds a database for the derivator consisting of the ids in the specified
interval.
- buildDerivatorDB(Relation<ParameterizationFunction>, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
-
Builds a database for the derivator consisting of the ids in the specified
interval.
- buildDistanceMatrix(ArrayDBIDs, DistanceQuery<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.GaussianAffinityMatrixBuilder
-
Build a distance matrix of squared distances.
- buildFlat(DBIDArrayIter, int, FiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance
-
Build a flat clustering.
- buildFPTree(Relation<BitVector>, int[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth
-
Build the actual FP-tree structure.
- buildFrequentOneItemsets(Relation<? extends SparseFeatureVector<?>>, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
-
Build the 1-itemsets.
- buildFrequentTwoItemsets(List<OneItemset>, Relation<BitVector>, int, int, DBIDs, ArrayModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
-
Build the 2-itemsets.
- buildGrid(Relation<V>, int, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance
-
Build the data grid.
- buildHierarchical(DBIDArrayIter, int, FiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance
-
Build a hierarchical clustering.
- buildHierarchy(Clustering<CorrelationModel>, List<List<Cluster<CorrelationModel>>>, ERiCNeighborPredicate<V>.Instance) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC
-
- buildHierarchy(Relation<V>, Clustering<SubspaceModel>, List<Cluster<SubspaceModel>>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
-
Builds the cluster hierarchy.
- buildHullsRecursively(Cluster<Model>, Hierarchy<Cluster<Model>>, Map<Object, DoubleObjPair<Polygon>>, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler
-
Recursively step through the clusters to build the hulls.
- buildHullsRecursively(Cluster<Model>, Hierarchy<Cluster<Model>>, Map<Object, DoubleObjPair<Polygon>>) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Instance
-
Recursively step through the clusters to build the hulls.
- buildIndex(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher
-
Build a length index by binary search.
- buildIndex(Relation<BitVector>, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Eclat
-
- buildIndex(int[], int[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth
-
Build a forward map, item id (dimension) to frequency position
- buildInitialModels(Database, Relation<V>, int, NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModelFactory
-
- buildInitialModels(Database, Relation<V>, int, NumberVectorDistanceFunction<? super V>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModelFactory
-
Build the initial models
- buildInitialModels(Database, Relation<V>, int, NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModelFactory
-
- buildInitialModels(Database, Relation<V>, int, NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModelFactory
-
- buildInitialModels(Database, Relation<V>, int, NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TextbookMultivariateGaussianModelFactory
-
- buildInitialModels(Database, Relation<V>, int, NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModelFactory
-
- buildLeafClusters(DBIDArrayIter, int, FiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance
-
Prepare the leaf clusters by executing the first (size - 1 - split)
merges.
- buildMediansResult() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd.Instance
-
- buildMeta() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
-
Update the meta element.
- buildMeta() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser
-
Update the meta element.
- buildOneDimIndexes(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure
-
Partitions an attribute.
- buildRanges(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AbstractAggarwalYuOutlier
-
Grid discretization of the data:
Each attribute of data is divided into phi equi-depth ranges.
- buildResult() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance
-
- buildResult() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance
-
Build a standard k-means result, with known cluster variance sums.
- buildResult(boolean, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance
-
Build the result, recomputing the cluster variance if varstat is
set to true.
- buildResult() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance
-
Build the final result.
- buildResult() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance
-
- buildResult() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance
-
- buildResultWithNoise() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMinusMinus.Instance
-
- buildSpanningTree(int, double[], Layout) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.layout.AbstractLayout3DPC
-
Build the minimum spanning tree.
- buildTree(int, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
-
Recursively build the tree by partial sorting.
- buildTree(int, int, int, DoubleDBIDListMIter) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree
-
Recursively build the tree by partial sorting.
- buildTree(int[], int, int, ArrayList<N>) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.layout.AbstractLayout3DPC
-
Recursive tree build method.
- BULK_SPLIT_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer
-
Parameter for bulk strategy
- bulkConstruct(DBIDRef, int, double, ModifiableDoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree
-
Bulk-load the cover tree.
- bulkConstruct(DBIDRef, int, ModifiableDoubleDBIDList) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree
-
Bulk load the tree
- bulkLoad(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree
-
Bulk-load the index.
- bulkLoad(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree
-
Bulk-load the index.
- bulkLoad(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
-
Performs a bulk load on this RTree with the specified data.
- bulkLoad(List<SpatialEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree
-
Performs a bulk load on this RTree with the specified data.
- bulkLoad(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree
-
Performs a bulk load on this RTree with the specified data.
- bulkLoad(List<RdKNNEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
-
Performs a bulk load on this RTree with the specified data.
- bulkReverseKNNQueryForID(DBIDs, int, SpatialPrimitiveDistanceFunction<? super O>, KNNQuery<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
-
- BulkSplit - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk
-
Interface for a bulk split strategy.
- bulkSplitter - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.RTreeSettings
-
The strategy for bulk load.
- bundle - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.StreamFromBundle
-
Bundle to access
- bundle - Variable in class de.lmu.ifi.dbs.elki.datasource.MultipleObjectsBundleDatabaseConnection
-
Bundle.
- bundle - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout
-
Input data bundle.
- BUNDLE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection.Parameterizer
-
Option ID for the bundle parameter.
- BundleDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource
-
Class to load a database from a bundle file.
- BundleDatabaseConnection(List<ObjectFilter>, File) - Constructor for class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection
-
Constructor.
- BundleDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource
-
Parameterization class.
- BundleMeta - Class in de.lmu.ifi.dbs.elki.datasource.bundle
-
Store the package metadata in an array list.
- BundleMeta() - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleMeta
-
Constructor.
- BundleMeta(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleMeta
-
Constructor.
- BundleMeta(SimpleTypeInformation<?>...) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleMeta
-
Constructor.
- BundleReader - Class in de.lmu.ifi.dbs.elki.datasource.bundle
-
Read an ELKI bundle file into a data stream.
- BundleReader(MappedByteBuffer) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
-
Constructor.
- BundleReader(FileChannel) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
-
Constructor.
- BundleStreamSource - Interface in de.lmu.ifi.dbs.elki.datasource.bundle
-
Soruce for a bundle stream
- BundleStreamSource.Event - Enum in de.lmu.ifi.dbs.elki.datasource.bundle
-
Events
- BundleWriter - Class in de.lmu.ifi.dbs.elki.datasource.bundle
-
Write an object bundle stream to a file channel.
- BundleWriter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter
-
- butcss - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton
-
Class for the buttons main CSS
- button - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator
-
The button to open the file selector
- button - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator
-
The button to open the file selector
- button - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.FileParameterConfigurator
-
The button to open the file selector
- button - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor
-
The button to open the file selector
- button - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor
-
The button to open the file selector
- buttonsize - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
-
Button size
- BY_COVERAGE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace
-
A partial comparator for CLIQUESubspaces based on their coverage.
- BY_NAME_SORTER - Static variable in class de.lmu.ifi.dbs.elki.data.Cluster
-
A partial comparator for Clusters, based on their name.
- BYFIRST_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair
-
Comparator to compare by second component only
- BYFIRST_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair
-
Comparator to compare by first component only
- BYFIRST_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair
-
Comparator to compare by second component only
- BYFIRST_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair
-
Comparator to compare by second component only
- bylabel - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores
-
By label outlier detection - reference
- bylabel - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer
-
By label outlier -- reference
- ByLabelClustering - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Pseudo clustering using labels.
- ByLabelClustering(boolean, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
-
Constructor.
- ByLabelClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
-
Constructor without parameters
- ByLabelClustering.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Parameterization class.
- ByLabelFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection
-
A filter to select data set by their label.
- ByLabelFilter(Pattern, boolean) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter
-
Constructor.
- ByLabelFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection
-
Parameterization class.
- ByLabelHierarchicalClustering - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Pseudo clustering using labels.
- ByLabelHierarchicalClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelHierarchicalClustering
-
Constructor without parameters
- ByLabelOrAllInOneClustering - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Trivial class that will try to cluster by label, and fall back to an
"all-in-one" clustering.
- ByLabelOrAllInOneClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelOrAllInOneClustering
-
Constructor.
- ByLabelOutlier - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial
-
Trivial algorithm that marks outliers by their label.
- ByLabelOutlier(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier
-
Constructor.
- ByLabelOutlier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier
-
Constructor.
- ByLabelOutlier.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial
-
Parameterization class.
- ByModelClustering - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Pseudo clustering using annotated models.
- ByModelClustering(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering
-
Constructor.
- ByModelClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering
-
Constructor without parameters
- ByModelClustering.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Parameterization class.
- BYSECOND_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair
-
Comparator to compare by second component only
- BYSECOND_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair
-
Comparator to compare by second component only
- BYSECOND_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair
-
Comparator to compare by second component only
- BYSECOND_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair
-
Comparator to compare by second component only
- BYTE0 - Static variable in class de.lmu.ifi.dbs.elki.data.SparseByteVector
-
Value to return for missing entires.
- BYTE_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Adapter for byte arrays.
- BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.ByteVector
-
Serializer for up to 127 dimensions.
- BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.DoubleVector
-
Serializer for up to 127 dimensions.
- BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.FloatVector
-
Serializer for up to 127 dimensions.
- BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.IntegerVector
-
Serializer for up to 127 dimensions.
- BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil
-
Static instance.
- byteArrayToPage(byte[]) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile
-
Reconstruct a serialized object from the specified byte array.
- ByteArrayUtil - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Class with various utilities for manipulating byte arrays.
- ByteArrayUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil
-
Fake constructor.
- ByteArrayUtil.ByteSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Serializer for byte objects.
- ByteArrayUtil.DoubleSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Serializer for double objects.
- ByteArrayUtil.FloatSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Serializer for float objects.
- ByteArrayUtil.IntegerSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Serializer for integer objects.
- ByteArrayUtil.LongSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Serializer for long objects.
- ByteArrayUtil.ShortSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Serializer for short objects.
- ByteArrayUtil.StringSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Serializer for String objects.
- ByteArrayUtil.VarintSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Serializer for Integer objects using a variable size encoding.
- ByteBufferInputStream - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Wrap an existing ByteBuffer as InputStream.
- ByteBufferInputStream(ByteBuffer) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteBufferInputStream
-
Constructor.
- ByteBufferOutputStream - Class in de.lmu.ifi.dbs.elki.utilities.io
-
Wrap an existing ByteBuffer as OutputStream.
- ByteBufferOutputStream(ByteBuffer) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteBufferOutputStream
-
Constructor.
- ByteBufferSerializer<T> - Interface in de.lmu.ifi.dbs.elki.utilities.io
-
Class to convert from and to byte arrays (in index structures).
- byteBufferToPage(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
-
Reconstruct a serialized object from the specified byte array.
- byteOnDisk(int, int) - Static method in class de.lmu.ifi.dbs.elki.index.vafile.VectorApproximation
-
Computes IO costs (in bytes) needed for reading the candidates.
- ByteSerializer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ByteSerializer
-
Constructor.
- byteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector
-
- byteValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
-
Returns the value in the specified dimension as byte.
- byteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
-
- byteValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
-
- ByteVector - Class in de.lmu.ifi.dbs.elki.data
-
Vector using byte[] storage.
- ByteVector(byte[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector
-
Private constructor.
- ByteVector(byte[]) - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector
-
Create an ByteVector consisting of the given Byte values.
- ByteVector.Factory - Class in de.lmu.ifi.dbs.elki.data
-
Factory for Byte vectors.
- ByteVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data
-
Parameterization class.
- ByteVector.ShortSerializer - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.data
-
Serialization class for dense Byte vectors with up to 127 dimensions, by
using a byte for storing the dimensionality.
