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All Classes All Packages

M

m - Variable in class elki.clustering.kmeans.FuzzyCMeans
Weight exponent
m - Variable in class elki.clustering.kmeans.FuzzyCMeans.Par
Weight exponent
m - Variable in class elki.clustering.kmeans.initialization.KMC2.Instance
Number of sampling attempts.
m - Variable in class elki.clustering.kmeans.initialization.KMC2
Number of sampling attempts.
m - Variable in class elki.clustering.kmeans.initialization.KMC2.Par
Number of sampling attempts.
m - Variable in class elki.index.laesa.LAESA.Factory
Number of reference points
m - Variable in class elki.index.laesa.LAESA.Factory.Par
Number of reference points
m - Variable in class elki.index.laesa.LAESA
Number of reference points
m - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine
The incline.
m - Variable in class elki.math.geometry.SweepHullDelaunay2D.Triangle
Center double[]
m - Variable in class elki.math.linearalgebra.LUDecomposition
Row and column dimensions, and pivot sign.
m - Variable in class elki.math.linearalgebra.pca.AutotuningPCA.Cand
Candidate matrix
m - Variable in class elki.math.linearalgebra.QRDecomposition
Row and column dimensions.
m - Variable in class elki.math.linearalgebra.SingularValueDecomposition
Row and column dimensions.
m - Variable in class elki.math.statistics.dependence.HiCSDependence
Monte-Carlo iterations
m - Variable in class elki.math.statistics.dependence.HiCSDependence.Par
Monte-Carlo iterations
m - Variable in class elki.math.statistics.dependence.MCDEDependence
Monte-Carlo iterations.
m - Variable in class elki.math.statistics.dependence.MCDEDependence.Par
Holds the value of MCDEDependence.Par.M_ID.
m - Variable in class elki.math.statistics.LinearRegression
 
m - Variable in class elki.outlier.lof.INFLO
Pruning threshold m.
m - Variable in class elki.outlier.lof.INFLO.Par
M parameter
m - Variable in class elki.outlier.meta.HiCS
Monte-Carlo iterations.
m - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary
m - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.Par
Population size.
m_czech - Variable in class elki.math.linearalgebra.pca.PCAFilteredResult
The dissimilarity matrix.
m_hat - Variable in class elki.math.linearalgebra.pca.PCAFilteredResult
The similarity matrix.
m_i - Variable in class elki.clustering.subspace.PROCLUS
Multiplier for the initial number of medoids.
m_i - Variable in class elki.clustering.subspace.PROCLUS.Par
Multiplier for the initial number of medoids.
M_I_ID - Static variable in class elki.clustering.subspace.PROCLUS.Par
Parameter to specify the multiplier for the initial number of medoids, must be an integer greater than 0.
M_ID - Static variable in class elki.clustering.kmeans.FuzzyCMeans.Par
Parameter to set weight exponent
M_ID - Static variable in class elki.clustering.kmeans.initialization.KMC2.Par
Parameter m of the AFK-MC² method.
M_ID - Static variable in class elki.index.laesa.LAESA.Factory.Par
Number of reference points to choose.
M_ID - Static variable in class elki.math.statistics.dependence.HiCSDependence.Par
Parameter that specifies the number of iterations in the Monte-Carlo process of identifying high contrast subspaces.
M_ID - Static variable in class elki.math.statistics.dependence.MCDEDependence.Par
Parameter that specifies the number of iterations in the Monte-Carlo process of identifying high contrast subspaces.
M_ID - Static variable in class elki.outlier.lof.INFLO.Par
Parameter to specify if any object is a Core Object must be a double greater than 0.0
M_ID - Static variable in class elki.outlier.subspace.AggarwalYuEvolutionary.Par
Parameter to specify the number of solutions must be an integer greater than 1.
m1 - Variable in class elki.clustering.silhouette.FastMSC.Record
Nearest medoid
m2 - Variable in class elki.clustering.silhouette.FastMSC.Record
Second nearest medoid
m2 - Variable in class elki.math.MeanVariance
n times Variance
m3 - Variable in class elki.clustering.silhouette.FastMSC.Record
Third nearest medoid
m3 - Variable in class elki.math.StatisticalMoments
Third moment.
m4 - Variable in class elki.math.StatisticalMoments
Fourth moment.
MacQueenKMeans<V extends NumberVector> - Class in elki.clustering.kmeans
The original k-means algorithm, using MacQueen style incremental updates; making this effectively an "online" (streaming) algorithm.
MacQueenKMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.MacQueenKMeans
Constructor.
MacQueenKMeans.Instance - Class in elki.clustering.kmeans
Inner instance, storing state for a single data set.
MacQueenKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans
Parameterization class.
MADDistributionEstimator<D extends Distribution> - Interface in elki.math.statistics.distribution.estimator
Distribuition estimators that use the method of moments (MOM), i.e. that only need the statistical moments of a data set.
madests - Variable in class elki.math.statistics.distribution.estimator.meta.BestFitEstimator
Median average deviation from median estimators.
magic - Variable in class elki.persistent.OnDiskArray
Magic number used to identify files.
MAGIC - Static variable in class elki.datasource.bundle.BundleReader
Magic number, shared with BundleReader.
MAGIC - Static variable in class elki.datasource.bundle.BundleWriter
Random magic number.
magic_class - Variable in class elki.datasource.parser.ArffParser
Pattern to recognize class label columns.
magic_class - Variable in class elki.datasource.parser.ArffParser.Par
Pattern to recognize class label columns
MAGIC_CLASS_ID - Static variable in class elki.datasource.parser.ArffParser.Par
Pattern for recognizing class label attributes.
magic_eid - Variable in class elki.datasource.parser.ArffParser
Pattern to recognize external ids.
magic_eid - Variable in class elki.datasource.parser.ArffParser.Par
Pattern to recognize external ids
MAGIC_EID_ID - Static variable in class elki.datasource.parser.ArffParser.Par
Pattern for recognizing external ID attributes.
magnitude(int) - Static method in class elki.utilities.datastructures.BitsUtil
The magnitude is the position of the highest bit set
magnitude(long) - Static method in class elki.utilities.datastructures.BitsUtil
The magnitude is the position of the highest bit set
magnitude(long[]) - Static method in class elki.utilities.datastructures.BitsUtil
The magnitude is the position of the highest bit set
mahalanobisDistance(double[]) - Method in class elki.clustering.em.models.DiagonalGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
mahalanobisDistance(double[]) - Method in class elki.clustering.em.models.MultivariateGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
mahalanobisDistance(double[]) - Method in class elki.clustering.em.models.SphericalGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
mahalanobisDistance(double[]) - Method in class elki.clustering.em.models.TextbookSphericalGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
mahalanobisDistance(double[][], double[], double[]) - Static method in class elki.math.linearalgebra.VMath
Matrix multiplication, (a-c)T * B * (a-c)
mahalanobisDistance(NumberVector) - Method in class elki.clustering.em.models.DiagonalGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
mahalanobisDistance(NumberVector) - Method in class elki.clustering.em.models.MultivariateGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
mahalanobisDistance(NumberVector) - Method in class elki.clustering.em.models.SphericalGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
mahalanobisDistance(NumberVector) - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
mahalanobisDistance(NumberVector) - Method in class elki.clustering.em.models.TextbookSphericalGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
mahalanobisDistance(NumberVector) - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
MahalanobisDistance - Class in elki.distance
Mahalanobis quadratic form distance for feature vectors.
MahalanobisDistance(double[][]) - Constructor for class elki.distance.MahalanobisDistance
Constructor.
main(String[]) - Static method in class elki.application.benchmark.KNNBenchmark
Runs the benchmark
main(String[]) - Static method in class elki.application.benchmark.PrioritySearchBenchmark
Runs the benchmark
main(String[]) - Static method in class elki.application.benchmark.RangeQueryBenchmark
Runs the benchmark
main(String[]) - Static method in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
Main method, delegate to super class.
main(String[]) - Static method in class elki.application.cache.CacheDoubleDistanceKNNLists
Main method, delegate to super class.
main(String[]) - Static method in class elki.application.cache.CacheDoubleDistanceRangeQueries
Main method, delegate to super class.
main(String[]) - Static method in class elki.application.cache.CacheFloatDistanceInOnDiskMatrix
Main method, delegate to super class.
main(String[]) - Static method in class elki.application.cache.PrecomputeDistancesAsciiApplication
Main method, delegate to super class.
main(String[]) - Static method in class elki.application.ClassifierHoldoutEvaluationTask
Runs the classifier evaluation task accordingly to the specified parameters.
main(String[]) - Static method in class elki.application.ConvertToBundleApplication
Run command line application.
main(String[]) - Static method in class elki.application.ELKILauncher
Launch ELKI.
main(String[]) - Static method in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators
Main method
main(String[]) - Static method in class elki.application.experiments.ORLibBenchmark
Main method, delegate to super class.
main(String[]) - Static method in class elki.application.experiments.VisualizeGeodesicDistances
Main method for application.
main(String[]) - Static method in class elki.application.GeneratorXMLSpec
Main method to run this application.
main(String[]) - Static method in class elki.application.greedyensemble.ComputeKNNOutlierScores
Main method.
main(String[]) - Static method in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores
Main method.
main(String[]) - Static method in class elki.application.greedyensemble.GreedyEnsembleExperiment
Main method.
main(String[]) - Static method in class elki.application.greedyensemble.VisualizePairwiseGainMatrix
Main method.
main(String[]) - Static method in class elki.application.internal.CheckELKIServices
Main method.
main(String[]) - Static method in class elki.application.internal.CheckParameterizables
 
main(String[]) - Static method in class elki.application.KDDCLIApplication
Runs a KDD task accordingly to the specified parameters.
main(String[]) - Static method in class elki.gui.minigui.MiniGUI
Main method that just spawns the UI.
main(String[]) - Static method in class elki.gui.multistep.MultiStepGUI
Main method that just spawns the UI.
main(String[]) - Static method in class elki.KDDTask
Runs a KDD task accordingly to the specified parameters.
main(String[]) - Static method in class tutorial.javaapi.GeoIndexing
 
main(String[]) - Static method in class tutorial.javaapi.PassingDataToELKI
Main method
maincls - Variable in class elki.gui.minigui.MiniGUI
Application to configure / run.
make() - Method in class elki.algorithm.DependencyDerivator.Par
 
make() - Method in class elki.algorithm.KNNDistancesSampler.Par
 
make() - Method in class elki.algorithm.KNNJoin.Par
 
make() - Method in class elki.algorithm.statistics.AddSingleScale.Par
 
make() - Method in class elki.algorithm.statistics.DistanceQuantileSampler.Par
 
make() - Method in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par
 
make() - Method in class elki.application.AbstractApplication.Par
 
make() - Method in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Par
 
make() - Method in class elki.application.cache.CacheDoubleDistanceKNNLists.Par
 
make() - Method in class elki.application.cache.CacheDoubleDistanceRangeQueries.Par
 
make() - Method in class elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Par
 
make() - Method in class elki.application.cache.PrecomputeDistancesAsciiApplication.Par
 
make() - Method in class elki.application.ClassifierHoldoutEvaluationTask.Par
 
make() - Method in class elki.application.ConvertToBundleApplication.Par
 
make() - Method in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par
 
make() - Method in class elki.application.experiments.ORLibBenchmark.Par
 
make() - Method in class elki.application.experiments.VisualizeGeodesicDistances.Par
 
make() - Method in class elki.application.GeneratorXMLSpec.Par
 
make() - Method in class elki.application.greedyensemble.ComputeKNNOutlierScores.Par
 
make() - Method in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Par
 
make() - Method in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par
 
make() - Method in class elki.application.greedyensemble.VisualizePairwiseGainMatrix.Par
 
make() - Method in class elki.application.KDDCLIApplication.Par
 
make() - Method in class elki.clustering.BetulaLeafPreClustering.Par
 
make() - Method in class elki.clustering.CFSFDP.Par
 
make() - Method in class elki.clustering.correlation.CASH.Par
 
make() - Method in class elki.clustering.correlation.COPAC.Par
 
make() - Method in class elki.clustering.correlation.ERiC.Par
 
make() - Method in class elki.clustering.correlation.FourC.Par
 
make() - Method in class elki.clustering.correlation.FourC.Settings.Par
 
make() - Method in class elki.clustering.correlation.HiCO.Par
 
make() - Method in class elki.clustering.correlation.LMCLUS.Par
 
make() - Method in class elki.clustering.correlation.ORCLUS.Par
 
make() - Method in class elki.clustering.dbscan.DBSCAN.Par
 
make() - Method in class elki.clustering.dbscan.GeneralizedDBSCAN.Par
 
make() - Method in class elki.clustering.dbscan.LSDBC.Par
 
make() - Method in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Par
 
make() - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.Par
 
make() - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Par
 
make() - Method in class elki.clustering.dbscan.predicates.FourCCorePredicate.Par
 
make() - Method in class elki.clustering.dbscan.predicates.FourCNeighborPredicate.Par
 
make() - Method in class elki.clustering.dbscan.predicates.MinPtsCorePredicate.Par
 
make() - Method in class elki.clustering.dbscan.predicates.PreDeConCorePredicate.Par
 
make() - Method in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.Par
 
make() - Method in class elki.clustering.em.BetulaGMM.Par
 
make() - Method in class elki.clustering.em.BetulaGMMWeighted.Par
 
make() - Method in class elki.clustering.em.EM.Par
 
make() - Method in class elki.clustering.em.KDTreeEM.Par
 
make() - Method in class elki.clustering.em.models.BetulaDiagonalGaussianModelFactory.Par
 
make() - Method in class elki.clustering.em.models.BetulaMultivariateGaussianModelFactory.Par
 
make() - Method in class elki.clustering.em.models.BetulaSphericalGaussianModelFactory.Par
 
make() - Method in class elki.clustering.hierarchical.birch.AverageInterclusterDistance.Par
 
make() - Method in class elki.clustering.hierarchical.birch.AverageIntraclusterDistance.Par
 
make() - Method in class elki.clustering.hierarchical.birch.BIRCHKMeansPlusPlus.Par
 
make() - Method in class elki.clustering.hierarchical.birch.BIRCHLeafClustering.Par
 
make() - Method in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans.Par
 
make() - Method in class elki.clustering.hierarchical.birch.CentroidEuclideanDistance.Par
 
make() - Method in class elki.clustering.hierarchical.birch.CentroidManhattanDistance.Par
 
make() - Method in class elki.clustering.hierarchical.birch.CFTree.Factory.Par
 
make() - Method in class elki.clustering.hierarchical.birch.DiameterCriterion.Par
 
make() - Method in class elki.clustering.hierarchical.birch.RadiusCriterion.Par
 
make() - Method in class elki.clustering.hierarchical.birch.VarianceIncreaseDistance.Par
 
make() - Method in class elki.clustering.hierarchical.CLINK.Par
 
make() - Method in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Par
 
make() - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight.Par
 
make() - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Par
 
make() - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Par
 
make() - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Par
 
make() - Method in class elki.clustering.hierarchical.linkage.CentroidLinkage.Par
 
make() - Method in class elki.clustering.hierarchical.linkage.CompleteLinkage.Par
 
make() - Method in class elki.clustering.hierarchical.linkage.FlexibleBetaLinkage.Par
 
make() - Method in class elki.clustering.hierarchical.linkage.GroupAverageLinkage.Par
 
make() - Method in class elki.clustering.hierarchical.linkage.MedianLinkage.Par
 
make() - Method in class elki.clustering.hierarchical.linkage.MinimumVarianceLinkage.Par
 
make() - Method in class elki.clustering.hierarchical.linkage.SingleLinkage.Par
 
make() - Method in class elki.clustering.hierarchical.linkage.WardLinkage.Par
 
make() - Method in class elki.clustering.hierarchical.linkage.WeightedAverageLinkage.Par
 
make() - Method in class elki.clustering.hierarchical.OPTICSToHierarchical.Par
 
make() - Method in class elki.clustering.hierarchical.SLINK.Par
 
make() - Method in class elki.clustering.kcenter.GreedyKCenter.Par
 
make() - Method in class elki.clustering.kmeans.AbstractKMeans.Par
 
make() - Method in class elki.clustering.kmeans.AnnulusKMeans.Par
 
make() - Method in class elki.clustering.kmeans.BetulaLloydKMeans.Par
 
make() - Method in class elki.clustering.kmeans.CompareMeans.Par
 
make() - Method in class elki.clustering.kmeans.ElkanKMeans.Par
 
make() - Method in class elki.clustering.kmeans.ExponionKMeans.Par
 
make() - Method in class elki.clustering.kmeans.FuzzyCMeans.Par
 
make() - Method in class elki.clustering.kmeans.GMeans.Par
 
make() - Method in class elki.clustering.kmeans.HamerlyKMeans.Par
 
make() - Method in class elki.clustering.kmeans.HartiganWongKMeans.Parameterizer
 
make() - Method in class elki.clustering.kmeans.initialization.AFKMC2.Par
 
make() - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves.Par
 
make() - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par
 
make() - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTrunk.Par
 
make() - Method in class elki.clustering.kmeans.initialization.betula.CFRandomlyChosen.Par
 
make() - Method in class elki.clustering.kmeans.initialization.betula.CFWeightedRandomlyChosen.Par
 
make() - Method in class elki.clustering.kmeans.initialization.FarthestPoints.Par
 
make() - Method in class elki.clustering.kmeans.initialization.FarthestSumPoints.Par
 
make() - Method in class elki.clustering.kmeans.initialization.FirstK.Par
 
make() - Method in class elki.clustering.kmeans.initialization.KMC2.Par
 
make() - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus.Par
 
make() - Method in class elki.clustering.kmeans.initialization.Ostrovsky.Par
 
make() - Method in class elki.clustering.kmeans.initialization.Predefined.Par
 
make() - Method in class elki.clustering.kmeans.initialization.RandomlyChosen.Par
 
make() - Method in class elki.clustering.kmeans.initialization.RandomNormalGenerated.Par
 
make() - Method in class elki.clustering.kmeans.initialization.RandomUniformGenerated.Par
 
make() - Method in class elki.clustering.kmeans.initialization.SphericalAFKMC2.Par
 
make() - Method in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Par
 
make() - Method in class elki.clustering.kmeans.KDTreeFilteringKMeans.Par
 
make() - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Par
 
make() - Method in class elki.clustering.kmeans.KMeansMinusMinus.Par
 
make() - Method in class elki.clustering.kmeans.KMediansLloyd.Par
 
make() - Method in class elki.clustering.kmeans.LloydKMeans.Par
 
make() - Method in class elki.clustering.kmeans.MacQueenKMeans.Par
 
make() - Method in class elki.clustering.kmeans.ShallotKMeans.Par
 
make() - Method in class elki.clustering.kmeans.SimplifiedElkanKMeans.Par
 
make() - Method in class elki.clustering.kmeans.SingleAssignmentKMeans.Par
 
make() - Method in class elki.clustering.kmeans.SortMeans.Par
 
make() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans.Par
 
make() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Par
 
make() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Par
 
make() - Method in class elki.clustering.kmeans.spherical.SphericalElkanKMeans.Par
 
make() - Method in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Par
 
make() - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Par
 
make() - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Par
 
make() - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Par
 
make() - Method in class elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans.Par
 
make() - Method in class elki.clustering.kmeans.YinYangKMeans.Par
 
make() - Method in class elki.clustering.kmedoids.AlternatingKMedoids.Par
 
make() - Method in class elki.clustering.kmedoids.CLARA.Par
 
make() - Method in class elki.clustering.kmedoids.CLARANS.Par
 
make() - Method in class elki.clustering.kmedoids.EagerPAM.Par
 
make() - Method in class elki.clustering.kmedoids.FastCLARA.Par
 
make() - Method in class elki.clustering.kmedoids.FastCLARANS.Par
 
make() - Method in class elki.clustering.kmedoids.FasterCLARA.Par
 
make() - Method in class elki.clustering.kmedoids.FasterPAM.Par
 
make() - Method in class elki.clustering.kmedoids.FastPAM.Par
 
make() - Method in class elki.clustering.kmedoids.FastPAM1.Par
 
make() - Method in class elki.clustering.kmedoids.initialization.AlternateRefinement.Par
 
make() - Method in class elki.clustering.kmedoids.initialization.BUILD.Par
 
make() - Method in class elki.clustering.kmedoids.initialization.GreedyG.Par
 
make() - Method in class elki.clustering.kmedoids.initialization.KMedoidsKMedoidsInitialization.Par
 
make() - Method in class elki.clustering.kmedoids.initialization.LAB.Par
 
make() - Method in class elki.clustering.kmedoids.initialization.ParkJun.Par
 
make() - Method in class elki.clustering.kmedoids.PAM.Par
 
make() - Method in class elki.clustering.kmedoids.ReynoldsPAM.Par
 
make() - Method in class elki.clustering.kmedoids.SingleAssignmentKMedoids.Par
 
make() - Method in class elki.clustering.meta.ExternalClustering.Par
 
make() - Method in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Par
 
make() - Method in class elki.clustering.optics.DeLiClu.Par
 
make() - Method in class elki.clustering.optics.OPTICSHeap.Par
 
make() - Method in class elki.clustering.optics.OPTICSList.Par
 
make() - Method in class elki.clustering.optics.OPTICSXi.Par
 
make() - Method in class elki.clustering.silhouette.FasterMSC.Par
 
make() - Method in class elki.clustering.silhouette.FastMSC.Par
 
make() - Method in class elki.clustering.silhouette.PAMMEDSIL.Par
 
make() - Method in class elki.clustering.silhouette.PAMSIL.Par
 
make() - Method in class elki.clustering.subspace.CLIQUE.Par
 
make() - Method in class elki.clustering.subspace.DiSH.Par
 
make() - Method in class elki.clustering.subspace.DOC.Par
 
make() - Method in class elki.clustering.subspace.FastDOC.Par
 
make() - Method in class elki.clustering.subspace.HiSC.Par
 
make() - Method in class elki.clustering.subspace.P3C.Par
 
make() - Method in class elki.clustering.subspace.PreDeCon.Par
 
make() - Method in class elki.clustering.subspace.PreDeCon.Settings.Par
 
make() - Method in class elki.clustering.subspace.PROCLUS.Par
 
make() - Method in class elki.clustering.subspace.SUBCLU.Par
 
make() - Method in class elki.clustering.trivial.ByLabelClustering.Par
 
make() - Method in class elki.clustering.trivial.ByModelClustering.Par
 
make() - Method in class elki.clustering.uncertain.CenterOfMassMetaClustering.Par
 
make() - Method in class elki.clustering.uncertain.CKMeans.Par
 
make() - Method in class elki.clustering.uncertain.FDBSCAN.Par
 
make() - Method in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Par
 
make() - Method in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par
 
make() - Method in class elki.clustering.uncertain.UKMeans.Par
 
make() - Method in class elki.data.BitVector.Factory.Par
 
make() - Method in class elki.data.ByteVector.Factory.Par
 
make() - Method in class elki.data.DoubleVector.Factory.Par
 
make() - Method in class elki.data.FloatVector.Factory.Par
 
make() - Method in class elki.data.IntegerVector.Factory.Par
 
make() - Method in class elki.data.OneDimensionalDoubleVector.Factory.Par
 
make() - Method in class elki.data.projection.FeatureSelection.Par
 
make() - Method in class elki.data.projection.NumericalFeatureSelection.Par
 
make() - Method in class elki.data.projection.random.AchlioptasRandomProjectionFamily.Par
 
make() - Method in class elki.data.projection.random.CauchyRandomProjectionFamily.Par
 
make() - Method in class elki.data.projection.random.GaussianRandomProjectionFamily.Par
 
make() - Method in class elki.data.projection.random.RandomSubsetProjectionFamily.Par
 
make() - Method in class elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.Par
 
make() - Method in class elki.data.projection.RandomProjection.Par
 
make() - Method in class elki.data.ShortVector.Factory.Par
 
make() - Method in class elki.data.SparseByteVector.Factory.Par
 
make() - Method in class elki.data.SparseDoubleVector.Factory.Par
 
make() - Method in class elki.data.SparseFloatVector.Factory.Par
 
make() - Method in class elki.data.SparseIntegerVector.Factory.Par
 
make() - Method in class elki.data.SparseShortVector.Factory.Par
 
make() - Method in class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Par
 
make() - Method in class elki.data.uncertain.uncertainifier.UniformUncertainifier.Par
 
make() - Method in class elki.data.uncertain.uncertainifier.UnweightedDiscreteUncertainifier.Par
 
make() - Method in class elki.data.uncertain.uncertainifier.WeightedDiscreteUncertainifier.Par
 
make() - Method in class elki.database.AbstractDatabase.Par
 
make() - Method in class elki.database.HashmapDatabase.Par
 
make() - Method in class elki.database.query.DisableQueryOptimizer.Par
 
make() - Method in class elki.database.StaticArrayDatabase.Par
 
make() - Method in class elki.datasource.BundleDatabaseConnection.Par
 
make() - Method in class elki.datasource.ConcatenateFilesDatabaseConnection.Par
 
make() - Method in class elki.datasource.DBIDRangeDatabaseConnection.Par
 
make() - Method in class elki.datasource.ExternalIDJoinDatabaseConnection.Par
 
make() - Method in class elki.datasource.FileBasedDatabaseConnection.Par
 
make() - Method in class elki.datasource.filter.cleaning.DropNaNFilter.Par
 
make() - Method in class elki.datasource.filter.cleaning.NoMissingValuesFilter.Par
 
make() - Method in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter.Par
 
make() - Method in class elki.datasource.filter.FixedDBIDsFilter.Par
 
make() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Par
 
make() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization.Par
 
make() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Par
 
make() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Par
 
make() - Method in class elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization.Par
 
make() - Method in class elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization.Par
 
make() - Method in class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization.Par
 
make() - Method in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Par
 
make() - Method in class elki.datasource.filter.normalization.instancewise.InstanceRankNormalization.Par
 
make() - Method in class elki.datasource.filter.normalization.instancewise.LengthNormalization.Par
 
make() - Method in class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Par
 
make() - Method in class elki.datasource.filter.selection.ByLabelFilter.Par
 
make() - Method in class elki.datasource.filter.selection.FirstNStreamFilter.Par
 
make() - Method in class elki.datasource.filter.selection.RandomSamplingStreamFilter.Par
 
make() - Method in class elki.datasource.filter.selection.ShuffleObjectsFilter.Par
 
make() - Method in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Par
 
make() - Method in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Par
 
make() - Method in class elki.datasource.filter.transform.HistogramJitterFilter.Par
 
make() - Method in class elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter.Par
 
make() - Method in class elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Par
 
make() - Method in class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Par
 
make() - Method in class elki.datasource.filter.transform.PerturbationFilter.Par
 
make() - Method in class elki.datasource.filter.typeconversions.ClassLabelFilter.Par
 
make() - Method in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Par
 
make() - Method in class elki.datasource.filter.typeconversions.ExternalIDFilter.Par
 
make() - Method in class elki.datasource.filter.typeconversions.SplitNumberVectorFilter.Par
 
make() - Method in class elki.datasource.filter.typeconversions.UncertainifyFilter.Par
 
make() - Method in class elki.datasource.filter.typeconversions.UncertainSplitFilter.Par
 
make() - Method in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Par
 
make() - Method in class elki.datasource.GeneratorXMLDatabaseConnection.Par
 
make() - Method in class elki.datasource.InputStreamDatabaseConnection.Par
 
make() - Method in class elki.datasource.LabelJoinDatabaseConnection.Par
 
make() - Method in class elki.datasource.parser.AbstractStreamingParser.Par
 
make() - Method in class elki.datasource.parser.ArffParser.Par
 
make() - Method in class elki.datasource.parser.BitVectorLabelParser.Par
 
make() - Method in class elki.datasource.parser.CategorialDataAsNumberVectorParser.Par
 
make() - Method in class elki.datasource.parser.ClusteringVectorParser.Par
 
make() - Method in class elki.datasource.parser.CSVReaderFormat.Par
 
make() - Method in class elki.datasource.parser.LibSVMFormatParser.Par
 
make() - Method in class elki.datasource.parser.NumberVectorLabelParser.Par
 
make() - Method in class elki.datasource.parser.SimplePolygonParser.Par
 
make() - Method in class elki.datasource.parser.SimpleTransactionParser.Par
 
make() - Method in class elki.datasource.parser.SparseNumberVectorLabelParser.Par
 
make() - Method in class elki.datasource.parser.StringParser.Par
 
make() - Method in class elki.datasource.parser.TermFrequencyParser.Par
 
make() - Method in class elki.datasource.PresortedBlindJoinDatabaseConnection.Par
 
make() - Method in class elki.datasource.RandomDoubleVectorDatabaseConnection.Par
 
make() - Method in class elki.distance.adapter.ArccosSimilarityAdapter.Par
 
make() - Method in class elki.distance.adapter.LinearSimilarityAdapter.Par
 
make() - Method in class elki.distance.adapter.LnSimilarityAdapter.Par
 
make() - Method in class elki.distance.ArcCosineDistance.Par
 
make() - Method in class elki.distance.ArcCosineUnitlengthDistance.Par
 
make() - Method in class elki.distance.BrayCurtisDistance.Par
 
make() - Method in class elki.distance.CanberraDistance.Par
 
make() - Method in class elki.distance.ClarkDistance.Par
 
make() - Method in class elki.distance.colorhistogram.HistogramIntersectionDistance.Par
 
make() - Method in class elki.distance.colorhistogram.HSBHistogramQuadraticDistance.Par
 
make() - Method in class elki.distance.colorhistogram.RGBHistogramQuadraticDistance.Par
 
make() - Method in class elki.distance.correlation.AbsolutePearsonCorrelationDistance.Par
 
make() - Method in class elki.distance.correlation.AbsoluteUncenteredCorrelationDistance.Par
 
make() - Method in class elki.distance.correlation.PearsonCorrelationDistance.Par
 
make() - Method in class elki.distance.correlation.SquaredPearsonCorrelationDistance.Par
 
make() - Method in class elki.distance.correlation.SquaredUncenteredCorrelationDistance.Par
 
make() - Method in class elki.distance.correlation.UncenteredCorrelationDistance.Par
 
make() - Method in class elki.distance.correlation.WeightedPearsonCorrelationDistance.Par
 
make() - Method in class elki.distance.correlation.WeightedSquaredPearsonCorrelationDistance.Par
 
make() - Method in class elki.distance.CosineDistance.Par
 
make() - Method in class elki.distance.CosineUnitlengthDistance.Par
 
make() - Method in class elki.distance.external.AsciiDistanceParser.Par
 
make() - Method in class elki.distance.external.DiskCacheBasedDoubleDistance.Par
 
make() - Method in class elki.distance.external.DiskCacheBasedFloatDistance.Par
 
make() - Method in class elki.distance.external.FileBasedSparseDoubleDistance.Par
 
make() - Method in class elki.distance.external.FileBasedSparseFloatDistance.Par
 
make() - Method in class elki.distance.geo.DimensionSelectingLatLngDistance.Par
 
make() - Method in class elki.distance.geo.LatLngDistance.Par
 
make() - Method in class elki.distance.geo.LngLatDistance.Par
 
make() - Method in class elki.distance.histogram.HistogramMatchDistance.Par
 
make() - Method in class elki.distance.histogram.KolmogorovSmirnovDistance.Par
 
make() - Method in class elki.distance.minkowski.EuclideanDistance.Par
 
make() - Method in class elki.distance.minkowski.LPIntegerNormDistance.Par
 
make() - Method in class elki.distance.minkowski.LPNormDistance.Par
 
make() - Method in class elki.distance.minkowski.ManhattanDistance.Par
 
make() - Method in class elki.distance.minkowski.MaximumDistance.Par
 
make() - Method in class elki.distance.minkowski.MinimumDistance.Par
 
make() - Method in class elki.distance.minkowski.SparseEuclideanDistance.Par
 
make() - Method in class elki.distance.minkowski.SparseLPNormDistance.Par
 
make() - Method in class elki.distance.minkowski.SparseManhattanDistance.Par
 
make() - Method in class elki.distance.minkowski.SparseMaximumDistance.Par
 
make() - Method in class elki.distance.minkowski.SparseSquaredEuclideanDistance.Par
 
make() - Method in class elki.distance.minkowski.SquaredEuclideanDistance.Par
 
make() - Method in class elki.distance.minkowski.WeightedEuclideanDistance.Par
 
make() - Method in class elki.distance.minkowski.WeightedLPNormDistance.Par
 
make() - Method in class elki.distance.minkowski.WeightedManhattanDistance.Par
 
make() - Method in class elki.distance.minkowski.WeightedMaximumDistance.Par
 
make() - Method in class elki.distance.minkowski.WeightedSquaredEuclideanDistance.Par
 
make() - Method in class elki.distance.probabilistic.ChiDistance.Par
 
make() - Method in class elki.distance.probabilistic.ChiSquaredDistance.Par
 
make() - Method in class elki.distance.probabilistic.FisherRaoDistance.Par
 
make() - Method in class elki.distance.probabilistic.HellingerDistance.Par
 
make() - Method in class elki.distance.probabilistic.JeffreyDivergenceDistance.Par
 
make() - Method in class elki.distance.probabilistic.JensenShannonDivergenceDistance.Par
 
make() - Method in class elki.distance.probabilistic.KullbackLeiblerDivergenceAsymmetricDistance.Par
 
make() - Method in class elki.distance.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistance.Par
 
make() - Method in class elki.distance.probabilistic.SqrtJensenShannonDivergenceDistance.Par
 
make() - Method in class elki.distance.probabilistic.TriangularDiscriminationDistance.Par
 
make() - Method in class elki.distance.probabilistic.TriangularDistance.Par
 
make() - Method in class elki.distance.RandomStableDistance.Par
 
make() - Method in class elki.distance.set.HammingDistance.Par
 
make() - Method in class elki.distance.SharedNearestNeighborJaccardDistance.Par
 
make() - Method in class elki.distance.SqrtCosineDistance.Par
 
make() - Method in class elki.distance.SqrtCosineUnitlengthDistance.Par
 
make() - Method in class elki.distance.strings.LevenshteinDistance.Par
 
make() - Method in class elki.distance.strings.NormalizedLevenshteinDistance.Par
 
make() - Method in class elki.distance.subspace.OnedimensionalDistance.Par
 
make() - Method in class elki.distance.subspace.SubspaceEuclideanDistance.Par
 
make() - Method in class elki.distance.subspace.SubspaceLPNormDistance.Par
 
make() - Method in class elki.distance.subspace.SubspaceManhattanDistance.Par
 
make() - Method in class elki.distance.subspace.SubspaceMaximumDistance.Par
 
make() - Method in class elki.distance.timeseries.DTWDistance.Par
 
make() - Method in class elki.distance.timeseries.EDRDistance.Par
 
make() - Method in class elki.distance.timeseries.ERPDistance.Par
 
make() - Method in class elki.distance.timeseries.LCSSDistance.Par
 
make() - Method in class elki.distance.WeightedCanberraDistance.Par
 
make() - Method in class elki.evaluation.AutomaticEvaluation.Par
 
make() - Method in class elki.evaluation.classification.holdout.DisjointCrossValidation.Par
 
make() - Method in class elki.evaluation.classification.holdout.RandomizedCrossValidation.Par
 
make() - Method in class elki.evaluation.classification.holdout.StratifiedCrossValidation.Par
 
make() - Method in class elki.evaluation.clustering.EvaluateClustering.Par
 
make() - Method in class elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor.Par
 
make() - Method in class elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor.Par
 
make() - Method in class elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator.Par
 
make() - Method in class elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator.Par
 
make() - Method in class elki.evaluation.clustering.internal.CIndex.Par
 
make() - Method in class elki.evaluation.clustering.internal.ClusterRadius.Par
 
make() - Method in class elki.evaluation.clustering.internal.ConcordantPairsGammaTau.Par
 
make() - Method in class elki.evaluation.clustering.internal.DaviesBouldinIndex.Par
 
make() - Method in class elki.evaluation.clustering.internal.DBCV.Par
 
make() - Method in class elki.evaluation.clustering.internal.PBMIndex.Par
 
make() - Method in class elki.evaluation.clustering.internal.Silhouette.Par
 
make() - Method in class elki.evaluation.clustering.internal.SimplifiedSilhouette.Par
 
make() - Method in class elki.evaluation.clustering.internal.SquaredErrors.Par
 
make() - Method in class elki.evaluation.clustering.internal.VarianceRatioCriterion.Par
 
make() - Method in class elki.evaluation.NoAutomaticEvaluation.Par
 
make() - Method in class elki.evaluation.outlier.ComputeOutlierHistogram.Par
 
make() - Method in class elki.evaluation.outlier.JudgeOutlierScores.Par
 
make() - Method in class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par
 
make() - Method in class elki.evaluation.outlier.OutlierPrecisionRecallCurve.Par
 
make() - Method in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve.Par
 
make() - Method in class elki.evaluation.outlier.OutlierRankingEvaluation.Par
 
make() - Method in class elki.evaluation.outlier.OutlierROCCurve.Par
 
make() - Method in class elki.evaluation.outlier.OutlierSmROCCurve.Par
 
make() - Method in class elki.evaluation.outlier.OutlierThresholdClustering.Par
 
make() - Method in class elki.evaluation.scores.AUPRCEvaluation.Par
 
make() - Method in class elki.evaluation.scores.AveragePrecisionEvaluation.Par
 
make() - Method in class elki.evaluation.scores.DCGEvaluation.Par
 
make() - Method in class elki.evaluation.scores.MaximumF1Evaluation.Par
 
make() - Method in class elki.evaluation.scores.NDCGEvaluation.Par
 
make() - Method in class elki.evaluation.scores.PrecisionAtKEvaluation.Par
 
make() - Method in class elki.evaluation.scores.PRGCEvaluation.Par
 
make() - Method in class elki.evaluation.scores.ROCEvaluation.Par
 
make() - Method in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Par
 
make() - Method in class elki.index.laesa.LAESA.Factory.Par
 
make() - Method in class elki.index.lsh.hashfamilies.CosineHashFunctionFamily.Par
 
make() - Method in class elki.index.lsh.hashfamilies.EuclideanHashFunctionFamily.Par
 
make() - Method in class elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily.Par
 
make() - Method in class elki.index.lsh.InMemoryLSHIndex.Par
 
make() - Method in class elki.index.PagedIndexFactory.Par
 
make() - Method in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.Par
 
make() - Method in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Par
 
make() - Method in class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory.Par
 
make() - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory.Par
 
make() - Method in class elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Par
 
make() - Method in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Par
 
make() - Method in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Par
 
make() - Method in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Par
 
make() - Method in class elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory.Par
 
make() - Method in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Par
 
make() - Method in class elki.index.tree.betula.CFTree.Factory.Par
 
make() - Method in class elki.index.tree.betula.distance.AverageInterclusterDistance.Par
 
make() - Method in class elki.index.tree.betula.distance.AverageIntraclusterDistance.Par
 
make() - Method in class elki.index.tree.betula.distance.BIRCHAverageInterclusterDistance.Par
 
make() - Method in class elki.index.tree.betula.distance.BIRCHAverageIntraclusterDistance.Par
 
make() - Method in class elki.index.tree.betula.distance.BIRCHRadiusDistance.Par
 
make() - Method in class elki.index.tree.betula.distance.BIRCHVarianceIncreaseDistance.Par
 
make() - Method in class elki.index.tree.betula.distance.CentroidEuclideanDistance.Par
 
make() - Method in class elki.index.tree.betula.distance.CentroidManhattanDistance.Par
 
make() - Method in class elki.index.tree.betula.distance.RadiusDistance.Par
 
make() - Method in class elki.index.tree.betula.distance.VarianceIncreaseDistance.Par
 
make() - Method in class elki.index.tree.betula.features.BIRCHCF.Factory.Par
 
make() - Method in class elki.index.tree.betula.features.VIIFeature.Factory.Par
 
make() - Method in class elki.index.tree.betula.features.VVIFeature.Factory.Par
 
make() - Method in class elki.index.tree.betula.features.VVVFeature.Factory.Par
 
make() - Method in class elki.index.tree.metrical.covertree.CoverTree.Factory.Par
 
make() - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory.Par
 
make() - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Par
 
make() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory.Par
 
make() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory.Par
 
make() - Method in class elki.index.tree.metrical.vptree.GNAT.Factory.Par
 
make() - Method in class elki.index.tree.metrical.vptree.VPTree.Factory.Par
 
make() - Method in class elki.index.tree.spatial.kd.MemoryKDTree.Factory.Par
 
make() - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Par
 
make() - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory.Par
 
make() - Method in class elki.index.tree.spatial.kd.split.BoundedMidpointSplit.Par
 
make() - Method in class elki.index.tree.spatial.kd.split.LeastOneDimSSQSplit.Par
 
make() - Method in class elki.index.tree.spatial.kd.split.LeastSSQSplit.Par
 
make() - Method in class elki.index.tree.spatial.kd.split.MeanVarianceSplit.Par
 
make() - Method in class elki.index.tree.spatial.kd.split.MedianSplit.Par
 
make() - Method in class elki.index.tree.spatial.kd.split.MedianVarianceSplit.Par
 
make() - Method in class elki.index.tree.spatial.kd.split.MidpointSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.OneDimSortBulkSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.CloseReinsert.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.GreeneSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.RTreeLinearSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.RTreeQuadraticSplit.Par
 
make() - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Par
 
make() - Method in class elki.index.vafile.PartialVAFile.Factory.Par
 
make() - Method in class elki.index.vafile.VAFile.Factory.Par
 
make() - Method in class elki.itemsetmining.APRIORI.Par
 
make() - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par
 
make() - Method in class elki.itemsetmining.Eclat.Par
 
make() - Method in class elki.itemsetmining.FPGrowth.Par
 
make() - Method in class elki.KDDTask.Par
 
make() - Method in class elki.math.geodesy.Clarke1858SpheroidEarthModel.Par
 
make() - Method in class elki.math.geodesy.Clarke1880SpheroidEarthModel.Par
 
make() - Method in class elki.math.geodesy.GRS67SpheroidEarthModel.Par
 
make() - Method in class elki.math.geodesy.GRS80SpheroidEarthModel.Par
 
make() - Method in class elki.math.geodesy.SphericalCosineEarthModel.Par
 
make() - Method in class elki.math.geodesy.SphericalHaversineEarthModel.Par
 
make() - Method in class elki.math.geodesy.SphericalVincentyEarthModel.Par
 
make() - Method in class elki.math.geodesy.WGS72SpheroidEarthModel.Par
 
make() - Method in class elki.math.geodesy.WGS84SpheroidEarthModel.Par
 
make() - Method in class elki.math.linearalgebra.pca.AutotuningPCA.Par
 
make() - Method in class elki.math.linearalgebra.pca.filter.DropEigenPairFilter.Par
 
make() - Method in class elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter.Par
 
make() - Method in class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter.Par
 
make() - Method in class elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter.Par
 
make() - Method in class elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter.Par
 
make() - Method in class elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter.Par
 
make() - Method in class elki.math.linearalgebra.pca.filter.SignificantEigenPairFilter.Par
 
make() - Method in class elki.math.linearalgebra.pca.filter.WeakEigenPairFilter.Par
 
make() - Method in class elki.math.linearalgebra.pca.PCARunner.Par
 
make() - Method in class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Par
 
make() - Method in class elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder.Par
 
make() - Method in class elki.math.spacefillingcurves.BinarySplitSpatialSorter.Par
 
make() - Method in class elki.math.spacefillingcurves.HilbertSpatialSorter.Par
 
make() - Method in class elki.math.spacefillingcurves.PeanoSpatialSorter.Par
 
make() - Method in class elki.math.spacefillingcurves.ZCurveSpatialSorter.Par
 
make() - Method in class elki.math.statistics.dependence.DCor.Par
 
make() - Method in class elki.math.statistics.dependence.HiCSDependence.Par
 
make() - Method in class elki.math.statistics.dependence.HoeffdingsD.Par
 
make() - Method in class elki.math.statistics.dependence.HoughSpaceMeasure.Par
 
make() - Method in class elki.math.statistics.dependence.JensenShannonEquiwidthDependence.Par
 
make() - Method in class elki.math.statistics.dependence.MaximumConditionalEntropy.Par
 
make() - Method in class elki.math.statistics.dependence.mcde.MWPTest.Par
 
make() - Method in class elki.math.statistics.dependence.MCDEDependence.Par
 
make() - Method in class elki.math.statistics.dependence.MutualInformationEquiwidthDependence.Par
 
make() - Method in class elki.math.statistics.dependence.PearsonCorrelationDependence.Par
 
make() - Method in class elki.math.statistics.dependence.SlopeDependence.Par
 
make() - Method in class elki.math.statistics.dependence.SlopeInversionDependence.Par
 
make() - Method in class elki.math.statistics.dependence.SpearmanCorrelationDependence.Par
 
make() - Method in class elki.math.statistics.dependence.SURFINGDependence.Par
 
make() - Method in class elki.math.statistics.distribution.BetaDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.CauchyDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.ChiDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.ChiSquaredDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.ConstantDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.CauchyMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.EMGOlivierNorbergEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.ExpGammaExpMOMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.ExponentialLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.ExponentialMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.ExponentialMedianEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.ExponentialMOMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.GammaChoiWetteEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.GammaLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.GammaMOMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.GeneralizedLogisticAlternateLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.GeneralizedParetoLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.GumbelLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.GumbelMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.InverseGaussianMLEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.InverseGaussianMOMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LaplaceLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LaplaceMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LaplaceMLEEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LogGammaLogMOMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LogisticLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LogisticMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LogLogisticMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LogNormalLogMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.meta.BestFitEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.NormalLevenbergMarquardtKDEEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.NormalLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.NormalMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.NormalMOMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.RayleighLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.RayleighMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.RayleighMLEEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.UniformLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.UniformMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.UniformMinMaxEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.estimator.WeibullLogMADEstimator.Par
 
make() - Method in class elki.math.statistics.distribution.ExpGammaDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.ExponentialDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.GammaDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.GeneralizedParetoDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.GumbelDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.HaltonUniformDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.InverseGaussianDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.KappaDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.LaplaceDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.LogGammaDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.LogisticDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.LogLogisticDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.LogNormalDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.NormalDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.PoissonDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.RayleighDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.StudentsTDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.UniformDistribution.Par
 
make() - Method in class elki.math.statistics.distribution.WeibullDistribution.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.ABIDEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.AggregatedHillEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.ALIDEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.GEDEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.HillEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.LPCAEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.MOMEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.PWM2Estimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.PWMEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.RABIDEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.RVEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.TightLIDEstimator.Par
 
make() - Method in class elki.math.statistics.intrinsicdimensionality.ZipfEstimator.Par
 
make() - Method in class elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction.Par
 
make() - Method in class elki.math.statistics.kernelfunctions.CosineKernelDensityFunction.Par
 
make() - Method in class elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction.Par
 
make() - Method in class elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction.Par
 
make() - Method in class elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction.Par
 
make() - Method in class elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction.Par
 
make() - Method in class elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction.Par
 
make() - Method in class elki.math.statistics.kernelfunctions.UniformKernelDensityFunction.Par
 
make() - Method in class elki.math.statistics.tests.KolmogorovSmirnovTest.Par
 
make() - Method in class elki.math.statistics.tests.WelchTTest.Par
 
make() - Method in class elki.outlier.anglebased.ABOD.Par
 
make() - Method in class elki.outlier.anglebased.FastABOD.Par
 
make() - Method in class elki.outlier.anglebased.LBABOD.Par
 
make() - Method in class elki.outlier.clustering.DBSCANOutlierDetection.Par
 
make() - Method in class elki.outlier.clustering.EMOutlier.Par
 
make() - Method in class elki.outlier.clustering.GLOSH.Par
 
make() - Method in class elki.outlier.clustering.KMeansMinusMinusOutlierDetection.Par
 
make() - Method in class elki.outlier.clustering.NoiseAsOutliers.Par
 
make() - Method in class elki.outlier.COP.Par
 
make() - Method in class elki.outlier.density.IsolationForest.Par
 
make() - Method in class elki.outlier.distance.DBOutlierDetection.Par
 
make() - Method in class elki.outlier.distance.DBOutlierScore.Par
 
make() - Method in class elki.outlier.distance.KNNDD.Par
 
make() - Method in class elki.outlier.distance.KNNOutlier.Par
 
make() - Method in class elki.outlier.distance.KNNWeightOutlier.Par
 
make() - Method in class elki.outlier.distance.LocalIsolationCoefficient.Par
 
make() - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection.Par
 
make() - Method in class elki.outlier.GaussianModel.Par
 
make() - Method in class elki.outlier.GaussianUniformMixture.Par
 
make() - Method in class elki.outlier.intrinsic.IDOS.Par
 
make() - Method in class elki.outlier.intrinsic.LID.Par
 
make() - Method in class elki.outlier.lof.ALOCI.Par
 
make() - Method in class elki.outlier.lof.FlexibleLOF.Par
 
make() - Method in class elki.outlier.lof.INFLO.Par
 
make() - Method in class elki.outlier.lof.LDOF.Par
 
make() - Method in class elki.outlier.lof.OnlineLOF.Par
 
make() - Method in class elki.outlier.meta.ExternalDoubleOutlierScore.Par
 
make() - Method in class elki.outlier.meta.FeatureBagging.Par
 
make() - Method in class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par
 
make() - Method in class elki.outlier.meta.SimpleOutlierEnsemble.Par
 
make() - Method in class elki.outlier.OPTICSOF.Par
 
make() - Method in class elki.outlier.SimpleCOP.Par
 
make() - Method in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Par
 
make() - Method in class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Par
 
make() - Method in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Par
 
make() - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.Par
 
make() - Method in class elki.outlier.subspace.AggarwalYuNaive.Par
 
make() - Method in class elki.outlier.subspace.OutRankS1.Par
 
make() - Method in class elki.outlier.subspace.OUTRES.Par
 
make() - Method in class elki.outlier.subspace.SOD.Par
 
make() - Method in class elki.outlier.trivial.ByLabelOutlier.Par
 
make() - Method in class elki.outlier.trivial.TrivialGeneratedOutlier.Par
 
make() - Method in class elki.persistent.LRUCachePageFileFactory.Par
 
make() - Method in class elki.persistent.MemoryPageFileFactory.Par
 
make() - Method in class elki.projection.GaussianAffinityMatrixBuilder.Par
 
make() - Method in class elki.projection.IntrinsicNearestNeighborAffinityMatrixBuilder.Par
 
make() - Method in class elki.projection.NearestNeighborAffinityMatrixBuilder.Par
 
make() - Method in class elki.projection.PerplexityAffinityMatrixBuilder.Par
 
make() - Method in class elki.result.AutomaticVisualization.Par
 
make() - Method in class elki.result.ClusteringVectorDumper.Par
 
make() - Method in class elki.result.ExportVisualizations.Par
 
make() - Method in class elki.result.KMLOutputHandler.Par
 
make() - Method in class elki.result.ResultWriter.Par
 
make() - Method in class elki.similarity.cluster.ClusteringAdjustedRandIndexSimilarity.Par
 
make() - Method in class elki.similarity.cluster.ClusteringBCubedF1Similarity.Par
 
make() - Method in class elki.similarity.cluster.ClusteringFowlkesMallowsSimilarity.Par
 
make() - Method in class elki.similarity.cluster.ClusteringRandIndexSimilarity.Par
 
make() - Method in class elki.similarity.cluster.ClusterIntersectionSimilarity.Par
 
make() - Method in class elki.similarity.cluster.ClusterJaccardSimilarity.Par
 
make() - Method in class elki.similarity.kernel.LaplaceKernel.Par
 
make() - Method in class elki.similarity.kernel.LinearKernel.Par
 
make() - Method in class elki.similarity.kernel.PolynomialKernel.Par
 
make() - Method in class elki.similarity.kernel.RadialBasisFunctionKernel.Par
 
make() - Method in class elki.similarity.kernel.RationalQuadraticKernel.Par
 
make() - Method in class elki.similarity.kernel.SigmoidKernel.Par
 
make() - Method in class elki.similarity.Kulczynski1Similarity.Par
 
make() - Method in class elki.similarity.Kulczynski2Similarity.Par
 
make() - Method in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Par
 
make() - Method in class elki.timeseries.SigniTrendChangeDetection.Par
 
make() - Method in interface elki.utilities.datastructures.histogram.ObjHistogram.BucketFactory
 
make() - Method in class elki.utilities.ensemble.EnsembleVotingInverseMultiplicative.Par
 
make() - Method in class elki.utilities.ensemble.EnsembleVotingMedian.Par
 
make() - Method in class elki.utilities.ensemble.EnsembleVotingMultiplicative.Par
 
make() - Method in interface elki.utilities.optionhandling.Parameterizer
Make an instance after successful configuration.
make() - Method in class elki.utilities.referencepoints.AxisBasedReferencePoints.Par
 
make() - Method in class elki.utilities.referencepoints.GridBasedReferencePoints.Par
 
make() - Method in class elki.utilities.referencepoints.RandomGeneratedReferencePoints.Par
 
make() - Method in class elki.utilities.referencepoints.RandomSampleReferencePoints.Par
 
make() - Method in class elki.utilities.referencepoints.StarBasedReferencePoints.Par
 
make() - Method in class elki.utilities.scaling.ClipScaling.Par
 
make() - Method in class elki.utilities.scaling.GammaScaling.Par
 
make() - Method in class elki.utilities.scaling.outlier.COPOutlierScaling.Par
 
make() - Method in class elki.utilities.scaling.outlier.MinusLogGammaScaling.Par
 
make() - Method in class elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling.Par
 
make() - Method in class elki.utilities.scaling.outlier.OutlierGammaScaling.Par
 
make() - Method in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par
 
make() - Method in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par
 
make() - Method in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par
 
make() - Method in class elki.utilities.scaling.outlier.StandardDeviationScaling.Par
 
make() - Method in class elki.utilities.scaling.outlier.TopKOutlierScaling.Par
 
make() - Method in class elki.visualization.parallel3d.layout.CompactCircularMSTLayout3DPC.Par
 
make() - Method in class elki.visualization.parallel3d.layout.MultidimensionalScalingMSTLayout3DPC.Par
 
make() - Method in class elki.visualization.parallel3d.layout.SimpleCircularMSTLayout3DPC.Par
 
make() - Method in class elki.visualization.projector.HistogramFactory.Par
 
make() - Method in class elki.visualization.projector.ScatterPlotFactory.Par
 
make() - Method in class elki.visualization.VisualizerParameterizer.Par
 
make() - Method in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Par
 
make() - Method in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Par
 
make() - Method in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Par
 
make() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Par
 
make() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization.Par
 
make() - Method in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Par
 
make() - Method in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Par
 
make() - Method in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Par
 
make() - Method in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Par
 
make() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Par
 
make() - Method in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Par
 
make() - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.Par
 
make() - Method in class elki.workflow.AlgorithmStep.Par
 
make() - Method in class elki.workflow.EvaluationStep.Par
 
make() - Method in class elki.workflow.InputStep.Par
 
make() - Method in class elki.workflow.LoggingStep.Par
 
make() - Method in class elki.workflow.OutputStep.Par
 
make() - Method in class tutorial.clustering.CFSFDP.Par
 
make() - Method in class tutorial.clustering.SameSizeKMeans.Par
 
make() - Method in class tutorial.distancefunction.MultiLPNorm.Par
 
make(int) - Method in class elki.index.tree.betula.features.BIRCHCF.Factory
 
make(int) - Method in interface elki.index.tree.betula.features.ClusterFeature.Factory
Make a new clustering feature of the given dimensionality.
make(int) - Method in class elki.index.tree.betula.features.VIIFeature.Factory
 
make(int) - Method in class elki.index.tree.betula.features.VVIFeature.Factory
 
make(int) - Method in class elki.index.tree.betula.features.VVVFeature.Factory
 
make(int) - Static method in class elki.math.SinCosTable
Make a table for the given number of steps.
make(int, long) - Static method in class elki.utilities.datastructures.BitsUtil
Allocate a new long[].
make(long[], Relation<? extends NumberVector>) - Static method in class elki.math.linearalgebra.ProjectedCentroid
Static Constructor from a relation.
make(long[], Relation<? extends NumberVector>, DBIDs) - Static method in class elki.math.linearalgebra.ProjectedCentroid
Static Constructor from a relation.
make(StaticDBIDs) - Static method in class elki.utilities.datastructures.unionfind.UnionFindUtil
Make a new instance (automatically choosing the best implementation).
make(Relation<? extends NumberVector>) - Static method in class elki.math.linearalgebra.CovarianceMatrix
Static Constructor from a full relation.
make(Relation<? extends NumberVector>, DBIDs) - Static method in class elki.math.linearalgebra.Centroid
Static constructor from an existing relation.
make(Relation<? extends NumberVector>, DBIDs) - Static method in class elki.math.linearalgebra.CovarianceMatrix
Static Constructor from a full relation.
make(Parameterizer, Parameterization) - Static method in class elki.utilities.ClassGenericsUtil
Method to configure a class, then instantiate when the configuration step was successful.
make(Collection<String>) - Static method in class elki.data.LabelList
Constructor replacement.
makeArffTokenizer(BufferedReader) - Method in class elki.datasource.parser.ArffParser
Make a StreamTokenizer for the ARFF format.
makeArrow(SVGPlot, SVGArrow.Direction, double, double, double) - Static method in class elki.visualization.svg.SVGArrow
Draw an arrow at the given position.
makeAWTImage(int, int) - Method in class elki.visualization.svg.SVGPlot
Convert the SVG to a thumbnail image.
makeButtonForVisible(int, int) - Method in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
Make a button for a visible axis
makeButtonsForHidden(int, int, int, int) - Method in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
Insert buttons for hidden dimensions.
makeCheckmark(SVGPlot) - Static method in class elki.visualization.svg.SVGEffects
Creates a 15x15 big checkmark
makeClockwise(List<double[]>) - Method in class elki.math.geometry.SweepHullDelaunay2D.Triangle
Make the triangle clockwise
makeCluster(int, double, DBIDs) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance
Make the cluster for the given object
makeCluster(int, DBIDs) - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance
Make the cluster for the given object
makeCluster(Relation<? extends NumberVector>, DBIDs, long[]) - Method in class elki.clustering.subspace.DOC
Utility method to create a subspace cluster from a list of DBIDs and the relevant attributes.
makeClusterMap(ArrayDBIDs, int[]) - Method in class elki.clustering.affinitypropagation.AffinityPropagation
Build an int to DBIDs lookup for the clusters.
makeConfigurator(Parameter<?>) - Method in class elki.gui.configurator.ConfiguratorPanel
 
makeCoverTree(Relation<? extends O>, Distance<? super O>, int) - Method in class elki.database.query.EmpiricalQueryOptimizer
 
makeCurve() - Method in class elki.math.geometry.XYPlot
Make a new curve.
makeCurve(int) - Method in class elki.math.geometry.XYPlot
Make a new curve with desired color.
makeCurve(int, int) - Method in class elki.math.geometry.XYPlot
Make a new curve with desired color.
makeDBIDStorage(DBIDs, int) - Method in interface elki.database.datastore.DataStoreFactory
Make a new storage, to associate the given ids with an object of class dataclass.
makeDBIDStorage(DBIDs, int) - Static method in class elki.database.datastore.DataStoreUtil
Make a new storage, to associate the given ids with an object of class dataclass.
makeDBIDStorage(DBIDs, int) - Method in class elki.database.datastore.memory.MemoryDataStoreFactory
 
makeDescription(Cluster<?>) - Method in class elki.result.KMLOutputHandler
Make an HTML description.
makeDescription(Collection<Relation<?>>, DBIDRef) - Method in class elki.result.KMLOutputHandler
Make an HTML description.
makeDetailView() - Method in class elki.visualization.gui.overview.DetailViewSelectedEvent
Retrieve a materialized detail plot.
makeDetailView(PlotItem) - Method in class elki.visualization.gui.overview.OverviewPlot
Event triggered when a plot was selected.
makeDoubleStorage(DBIDs, int) - Method in interface elki.database.datastore.DataStoreFactory
Make a new storage, to associate the given ids with an object of class dataclass.
makeDoubleStorage(DBIDs, int) - Static method in class elki.database.datastore.DataStoreUtil
Make a new storage, to associate the given ids with an object of class dataclass.
makeDoubleStorage(DBIDs, int) - Method in class elki.database.datastore.memory.MemoryDataStoreFactory
 
makeDoubleStorage(DBIDs, int, double) - Method in interface elki.database.datastore.DataStoreFactory
Make a new storage, to associate the given ids with an object of class dataclass.
makeDoubleStorage(DBIDs, int, double) - Static method in class elki.database.datastore.DataStoreUtil
Make a new storage, to associate the given ids with an object of class dataclass.
makeDoubleStorage(DBIDs, int, double) - Method in class elki.database.datastore.memory.MemoryDataStoreFactory
 
makeElement(SVGPlot) - Method in class elki.visualization.svg.SVGPath
Turn the path buffer into an SVG element.
makeElement(SVGPlot, String) - Method in class elki.visualization.svg.SVGPath
Turn the path buffer into an SVG element.
makeFolds(int, int) - Static method in class elki.svm.AbstractSingleSVM
 
makeFromString(String) - Method in class elki.data.ClassLabel.Factory
Convert a string into a class label.
makeFromString(String) - Method in class elki.data.HierarchicalClassLabel.Factory
 
makeFromString(String) - Method in class elki.data.SimpleClassLabel.Factory
 
makeGradient(int, String[]) - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
Creates a gradient over a set of colors
makeHull(double[][]) - Method in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
Build a convex hull to approximate the sphere.
makeHullComplex(double[][]) - Method in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
Build a convex hull to approximate the sphere.
makeIndividuum(short[]) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch
Make a new individuum helper, computing sparsity=fitness
makeIntegerStorage(DBIDs, int) - Method in interface elki.database.datastore.DataStoreFactory
Make a new storage, to associate the given ids with an object of class dataclass.
makeIntegerStorage(DBIDs, int) - Static method in class elki.database.datastore.DataStoreUtil
Make a new storage, to associate the given ids with an object of class dataclass.
makeIntegerStorage(DBIDs, int) - Method in class elki.database.datastore.memory.MemoryDataStoreFactory
 
makeIntegerStorage(DBIDs, int, int) - Method in interface elki.database.datastore.DataStoreFactory
Make a new storage, to associate the given ids with an object of class dataclass.
makeIntegerStorage(DBIDs, int, int) - Static method in class elki.database.datastore.DataStoreUtil
Make a new storage, to associate the given ids with an object of class dataclass.
makeIntegerStorage(DBIDs, int, int) - Method in class elki.database.datastore.memory.MemoryDataStoreFactory
 
makeInvisible() - Method in class elki.visualization.batikutil.DragableArea
Make the rectangle invisible.
makeKDTree(Relation<? extends O>, Distance<? super O>, int) - Method in class elki.database.query.EmpiricalQueryOptimizer
 
makeKey(int, int) - Static method in class elki.distance.external.FileBasedSparseDoubleDistance
Combine two integer ids into a long value.
makeKey(int, int) - Static method in class elki.distance.external.FileBasedSparseFloatDistance
Combine two integer ids into a long value.
makeKnnPreprocessor(Relation<? extends O>, DistanceQuery<O>, int, int) - Method in class elki.database.query.EmpiricalQueryOptimizer
Make a knn preprocessor.
makeLayerElement() - Method in class elki.visualization.visualizers.optics.AbstractOPTICSVisualization
Produce a new layer element.
makeLayerElement() - Method in class elki.visualization.visualizers.silhouette.AbstractSilhouetteVisualization
Produce a new layer element.
makeMarginTransform(double, double, double, double, double) - Static method in class elki.visualization.svg.SVGUtil
Make a transform string to add margins
makeMarginTransform(double, double, double, double, double, double) - Static method in class elki.visualization.svg.SVGUtil
Make a transform string to add margins
makeMarginTransform(double, double, double, double, double, double, double, double) - Static method in class elki.visualization.svg.SVGUtil
Make a transform string to add margins
makeMatrixIndex(Relation<? extends O>, Distance<? super O>) - Method in class elki.database.query.EmpiricalQueryOptimizer
 
makeMenuItemForVisualizer(Object) - Method in class elki.visualization.gui.ResultWindow.DynamicMenu
 
makeModel() - Method in interface elki.data.synthetic.bymodel.GeneratorInterface
Make a cluster model for this cluster.
makeModel() - Method in class elki.data.synthetic.bymodel.GeneratorSingleCluster
 
makeModel() - Method in class elki.data.synthetic.bymodel.GeneratorStatic
 
makeNode(int, List<CompactCircularMSTLayout3DPC.Node>) - Method in class elki.visualization.parallel3d.layout.CompactCircularMSTLayout3DPC
 
makeNode(int, List<MultidimensionalScalingMSTLayout3DPC.Node>) - Method in class elki.visualization.parallel3d.layout.MultidimensionalScalingMSTLayout3DPC
 
makeNode(int, List<SimpleCircularMSTLayout3DPC.Node>) - Method in class elki.visualization.parallel3d.layout.SimpleCircularMSTLayout3DPC
 
makeNode(int, List<N>) - Method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC
 
makeNumberFormat(int) - Static method in class elki.utilities.io.FormatUtil
Initialize a number format with ELKI standard options (US locale, no grouping).
makeObject() - Method in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Make a new empty bucket for the data store.
makeOPTICSCut(E, double) - Static method in class elki.visualization.opticsplot.OPTICSCut
Compute an OPTICS cut clustering
makeOrUpdateSegment(int[], DBIDs, int) - Method in class elki.evaluation.clustering.pairsegments.Segments
 
makePageFile(Class<N>) - Method in class elki.index.PagedIndexFactory
Make the page file for this index.
makePopulationMatrix() - Method in class elki.math.linearalgebra.CovarianceMatrix
Obtain the covariance matrix according to the population statistics: n degrees of freedom.
makeReader() - Method in class elki.datasource.parser.CSVReaderFormat
Make a reader for the configured format.
makeRecordStorage(DBIDs, int, Class<?>...) - Method in interface elki.database.datastore.DataStoreFactory
Make a new record storage, to associate the given ids with an object of class dataclass.
makeRecordStorage(DBIDs, int, Class<?>...) - Static method in class elki.database.datastore.DataStoreUtil
Make a new record storage, to associate the given ids with an object of class dataclass.
makeRecordStorage(DBIDs, int, Class<?>...) - Method in class elki.database.datastore.memory.MemoryDataStoreFactory
 
makeRunnerIfNeeded() - Method in class elki.visualization.batikutil.JSVGUpdateSynchronizer
Join the runnable queue of a component.
makeSample(int) - Method in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators
Generate a data sample.
makeSampleMatrix() - Method in class elki.math.linearalgebra.CovarianceMatrix
Obtain the covariance matrix according to the sample statistics: (n-1) degrees of freedom.
makeSettings() - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Par
 
makeSettings() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory.Par
 
makeSimple(SimpleTypeInformation<? super V>, List<? extends V>) - Static method in class elki.datasource.bundle.MultipleObjectsBundle
Helper to add a single column to the bundle.
makeSimple(SimpleTypeInformation<? super V1>, List<? extends V1>, SimpleTypeInformation<? super V2>, List<? extends V2>) - Static method in class elki.datasource.bundle.MultipleObjectsBundle
Helper to add a single column to the bundle.
makeSimple(SimpleTypeInformation<? super V1>, List<? extends V1>, SimpleTypeInformation<? super V2>, List<? extends V2>, SimpleTypeInformation<? super V3>, List<? extends V3>) - Static method in class elki.datasource.bundle.MultipleObjectsBundle
Helper to add a single column to the bundle.
makeStats(KDTreeEM.KDTree, int[], WritableDataStore<double[]>) - Method in class elki.clustering.em.KDTreeEM
Calculates the statistics on the kd-tree needed for the calculation of the new models
makeStorage(DBIDs, int, Class<? super T>) - Method in interface elki.database.datastore.DataStoreFactory
Make a new storage, to associate the given ids with an object of class dataclass.
makeStorage(DBIDs, int, Class<? super T>) - Static method in class elki.database.datastore.DataStoreUtil
Make a new storage, to associate the given ids with an object of class dataclass.
makeStorage(DBIDs, int, Class<? super T>) - Method in class elki.database.datastore.memory.MemoryDataStoreFactory
 
makeStyleElement(Document) - Method in class elki.visualization.css.CSSClassManager
Make a (filled) CSS style element for the given document.
makeStyleElement(Document) - Static method in class elki.visualization.svg.SVGUtil
Make a new CSS style element for the given Document.
makeStyleResult(StyleLibrary) - Method in class elki.visualization.VisualizerContext
Generate a new style result for the given style library.
makeTooltip(DBIDRef, double, double, double) - Method in class elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization
Make a tooltip Element for this id.
makeTooltip(DBIDRef, double, double, double) - Method in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance
 
makeTooltip(DBIDRef, double, double, double) - Method in class elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance
 
makeUnmodifiable(DBIDs) - Method in interface elki.database.ids.DBIDFactory
Make DBIDs immutable.
makeUnmodifiable(DBIDs) - Static method in class elki.database.ids.DBIDUtil
Wrap an existing DBIDs collection to be unmodifiable.
makeUnmodifiable(DBIDs) - Method in class elki.database.ids.integer.AbstractIntegerDBIDFactory
 
makeVisible() - Method in class elki.visualization.batikutil.DragableArea
Make the rectangle visible, for debug purposes.
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.actions.ClusterStyleAction
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.optics.OPTICSClusterVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.optics.OPTICSPlotVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.AxisReorderVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.BoundingBoxVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.LineVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.ParallelAxisVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.selection.SelectionLineVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.AxisVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.MarkerVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.PolygonVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.ReferencePointsVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.TooltipStringVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in interface elki.visualization.visualizers.VisFactory
Produce a visualization instance for the given task
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.visunproj.EvaluationVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.visunproj.HistogramVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.visunproj.KeyVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.visunproj.LabelVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.visunproj.PixmapVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.visunproj.SettingsVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.visunproj.XYCurveVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class elki.visualization.visualizers.visunproj.XYPlotVisualization
 
makeVisualizationOrThumbnail(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection, int) - Method in interface elki.visualization.visualizers.VisFactory
Produce a visualization instance for the given task that may use thumbnails
makeVPTree(Relation<? extends O>, Distance<? super O>, int) - Method in class elki.database.query.EmpiricalQueryOptimizer
 
manager - Variable in class elki.result.AutomaticVisualization
Visualization manager.
manager - Variable in class elki.result.AutomaticVisualization.Par
Visualization manager.
manager - Variable in class elki.result.ExportVisualizations
Visualization manager.
manager - Variable in class elki.result.ExportVisualizations.Par
Visualization manager.
managerStarted(UpdateManagerEvent) - Method in class elki.visualization.batikutil.JSVGUpdateSynchronizer.UMAdapter
React to an update manager becoming available.
managerStopped(UpdateManagerEvent) - Method in class elki.visualization.batikutil.JSVGUpdateSynchronizer.UMAdapter
 
MANHATTAN - elki.application.greedyensemble.GreedyEnsembleExperiment.Distance
 
MANHATTAN - elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Mode
 
ManhattanDistance - Class in elki.distance.minkowski
Manhattan distance for NumberVectors.
ManhattanDistance() - Constructor for class elki.distance.minkowski.ManhattanDistance
Deprecated.
Use static instance!
ManhattanDistance.Par - Class in elki.distance.minkowski
Parameterization class.
ManhattanHashFunctionFamily - Class in elki.index.lsh.hashfamilies
2-stable hash function family for Euclidean distances.
ManhattanHashFunctionFamily(RandomFactory, double, int) - Constructor for class elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily
Constructor.
ManhattanHashFunctionFamily.Par - Class in elki.index.lsh.hashfamilies
Parameterization class.
manhattanSegmentalDistance(NumberVector, double[], long[]) - Method in class elki.clustering.subspace.PROCLUS
Returns the Manhattan segmental distance between o1 and o2 relative to the specified dimensions.
manhattanSegmentalDistance(NumberVector, NumberVector, long[]) - Method in class elki.clustering.subspace.PROCLUS
Returns the Manhattan segmental distance between o1 and o2 relative to the specified dimensions.
map - Variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance.RetrievalPerformanceResult
MAP value
map - Variable in class elki.database.datastore.memory.MapIntegerDBIDDBIDStore
Data storage.
map - Variable in class elki.database.datastore.memory.MapIntegerDBIDDoubleStore
Data storage.
map - Variable in class elki.database.datastore.memory.MapIntegerDBIDIntegerStore
Data storage.
map - Variable in class elki.datasource.filter.normalization.instancewise.LengthNormalization
Map used if converting sparse vectors.
map - Variable in class elki.persistent.LRUCache
The map holding the objects of this cache.
map - Variable in class elki.persistent.OnDiskArray
The memory mapped buffer.
map - Variable in class elki.visualization.gui.overview.LayerMap
The actual map
map - Variable in class elki.visualization.gui.overview.RectangleArranger
Data
map(DBIDRef) - Method in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance.Mapper
 
map(DBIDRef) - Method in class elki.clustering.kmeans.parallel.KMeansProcessor.Instance
 
map(DBIDRef) - Method in class elki.outlier.distance.parallel.KNNWeightProcessor.Instance
 
map(DBIDRef) - Method in class elki.outlier.lof.parallel.LOFProcessor.Instance
 
map(DBIDRef) - Method in class elki.outlier.lof.parallel.LRDProcessor.Instance
 
map(DBIDRef) - Method in class elki.outlier.lof.parallel.SimplifiedLRDProcessor.Instance
 
map(DBIDRef) - Method in class elki.parallel.processor.AbstractDoubleProcessor.Instance
 
map(DBIDRef) - Method in class elki.parallel.processor.DoubleMinMaxProcessor.Instance
 
map(DBIDRef) - Method in class elki.parallel.processor.KDistanceProcessor.Instance
 
map(DBIDRef) - Method in class elki.parallel.processor.KNNProcessor.Instance
 
map(DBIDRef) - Method in interface elki.parallel.processor.Processor.Instance
Process ("map") a single object
map(DBIDRef) - Method in class elki.parallel.processor.WriteDataStoreProcessor.Instance
 
map(DBIDRef) - Method in class elki.parallel.processor.WriteDoubleDataStoreProcessor.Instance
 
map(DBIDRef) - Method in class elki.parallel.processor.WriteIntegerDataStoreProcessor.Instance
 
map(DoubleUnaryOperator) - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNList
 
map(DoubleUnaryOperator) - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList
 
map(DoubleUnaryOperator) - Method in interface elki.database.ids.KNNList
Function to project the knn list.
mapArray() - Method in class elki.persistent.OnDiskArray
(Re-) map the data array.
mapDBIDToOffset(DBIDRef) - Method in interface elki.database.datastore.DataStoreIDMap
Map a DBID to an array offset.
mapDBIDToOffset(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDRange
 
MapIntegerDBIDDBIDStore - Class in elki.database.datastore.memory
Writable data store for double values.
MapIntegerDBIDDBIDStore(int) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDDBIDStore
Constructor.
MapIntegerDBIDDoubleStore - Class in elki.database.datastore.memory
Writable data store for double values.
MapIntegerDBIDDoubleStore(int) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDDoubleStore
Constructor.
MapIntegerDBIDDoubleStore(int, double) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDDoubleStore
Constructor.
MapIntegerDBIDIntegerStore - Class in elki.database.datastore.memory
Writable data store for double values.
MapIntegerDBIDIntegerStore(int) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDIntegerStore
Constructor.
MapIntegerDBIDIntegerStore(int, int) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDIntegerStore
Constructor.
MapIntegerDBIDRecordStore - Class in elki.database.datastore.memory
A class to answer representation queries using a map and an index within the record.
MapIntegerDBIDRecordStore(int) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDRecordStore
Constructor without existing data.
MapIntegerDBIDRecordStore(int, int) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDRecordStore
Constructor without existing data.
MapIntegerDBIDRecordStore(int, Int2ObjectMap<Object[]>) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDRecordStore
Constructor with existing data.
MapIntegerDBIDRecordStore.StorageAccessor<T> - Class in elki.database.datastore.memory
Access a single record in the given data.
MapIntegerDBIDStore<T> - Class in elki.database.datastore.memory
A class to answer representation queries using a map.
MapIntegerDBIDStore() - Constructor for class elki.database.datastore.memory.MapIntegerDBIDStore
Constructor.
MapIntegerDBIDStore(int) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDStore
Constructor.
MapIntegerDBIDStore(Int2ObjectMap<T>) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDStore
Constructor.
mapMouseToPlane(Simple1DOFCamera, Point, double[]) - Method in class elki.visualization.parallel3d.util.Arcball1DOFAdapter
Map the coordinates.
Mapper(NeighborPredicate.Instance<? extends T>) - Constructor for class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance.Mapper
Constructor.
MapRecordStore - Class in elki.database.datastore.memory
A class to answer representation queries using a map and an index within the record.
MapRecordStore(int) - Constructor for class elki.database.datastore.memory.MapRecordStore
Constructor without existing data.
MapRecordStore(int, Map<DBID, Object[]>) - Constructor for class elki.database.datastore.memory.MapRecordStore
Constructor with existing data.
MapRecordStore.StorageAccessor<T> - Class in elki.database.datastore.memory
Access a single record in the given data.
MapStore<T> - Class in elki.database.datastore.memory
A class to answer representation queries using a map.
MapStore() - Constructor for class elki.database.datastore.memory.MapStore
Constructor.
MapStore(Map<DBID, T>) - Constructor for class elki.database.datastore.memory.MapStore
Constructor.
MARGIN - Static variable in interface elki.visualization.style.StyleLibrary
Margin
margins - Variable in class elki.visualization.visualizers.parallel.AbstractParallelVisualization
margin
markAsAssigned() - Method in class elki.clustering.subspace.clique.CLIQUEUnit
Marks this unit as assigned to a cluster.
MARKER - Static variable in class elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance
CSS Class for the range marker
MARKER - Static variable in class elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance
CSS Class for the range marker
MARKER - Static variable in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
Generic tag to indicate the type of element.
MARKER - Static variable in class elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance
Generic tag to indicate the type of element.
markerlib - Variable in class elki.visualization.style.PropertiesBasedStyleLibrary
Marker library to use
MarkerLibrary - Interface in elki.visualization.style.marker
A marker library is a class that can generate and draw various styles of markers.
MARKERPLOT - Static variable in interface elki.visualization.style.StyleLibrary
Marker size
markers() - Method in class elki.visualization.style.PropertiesBasedStyleLibrary
 
markers() - Method in interface elki.visualization.style.StyleLibrary
Get the marker library to use.
MarkerVisualization - Class in elki.visualization.visualizers.scatterplot
Visualize a clustering using different markers for different clusters.
MarkerVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.MarkerVisualization
Constructor.
MarkerVisualization.Instance - Class in elki.visualization.visualizers.scatterplot
Instance.
mask - Static variable in class elki.utilities.random.FastNonThreadsafeRandom
 
MASK32 - Static variable in class elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction
Bit mask for signed int to unsigned long conversion.
maskMatrix(double[][], Distribution, Random) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Updates the mask with replacement values for all data in the given rows and columns.
MASTER_CACHE - Static variable in class elki.utilities.ELKIServiceScanner
(Non-weak) cache for all "frequently scanned" classes.
mat - Variable in class elki.clustering.hierarchical.AGNES.Instance
Cluster distance matrix
mat - Variable in class elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection
Projection matrix.
mat - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared
Current similarity matrix.
match(Object, Object) - Static method in class elki.algorithm.statistics.AveragePrecisionAtK
Test whether two relation agree.
match(Object, Object) - Static method in class elki.algorithm.statistics.EvaluateRetrievalPerformance
Test whether two relation agree.
matcher - Variable in class elki.datasource.filter.selection.ByLabelFilter
The filter pattern matcher
matcher - Variable in class elki.utilities.io.Tokenizer
Regular expression match helper.
matchInf(byte[], byte, int, int) - Static method in class elki.utilities.io.ParseUtil
Match "inf", "infinity" in a number of different capitalizations.
matchInf(CharSequence, char, int, int) - Static method in class elki.utilities.io.ParseUtil
Match "inf", "infinity" in a number of different capitalizations.
matchNaN(byte[], byte, int, int) - Static method in class elki.utilities.io.ParseUtil
Match "NaN" in a number of different capitalizations.
matchNaN(CharSequence, char, int, int) - Static method in class elki.utilities.io.ParseUtil
Match "NaN" in a number of different capitalizations.
materialize - Variable in class elki.index.projected.ProjectedIndex.Factory
Whether to use a materialized view, or a virtual view.
materialize() - Method in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Materialize the histogram from the cache.
materialize() - Method in class elki.utilities.datastructures.histogram.DoubleDynamicHistogram
Materialize the histogram from the cache.
MaterializedDoubleRelation - Class in elki.database.relation
Represents a single representation.
MaterializedDoubleRelation(String, DBIDs) - Constructor for class elki.database.relation.MaterializedDoubleRelation
Constructor.
MaterializedDoubleRelation(String, DBIDs, DoubleDataStore) - Constructor for class elki.database.relation.MaterializedDoubleRelation
Constructor.
MaterializedRelation<O> - Class in elki.database.relation
Represents a single representation.
MaterializedRelation(SimpleTypeInformation<O>, DBIDs) - Constructor for class elki.database.relation.MaterializedRelation
Constructor.
MaterializedRelation(String, SimpleTypeInformation<O>, DBIDs) - Constructor for class elki.database.relation.MaterializedRelation
Constructor.
MaterializedRelation(String, SimpleTypeInformation<O>, DBIDs, DataStore<O>) - Constructor for class elki.database.relation.MaterializedRelation
Constructor.
MaterializeKNNAndRKNNPreprocessor<O> - Class in elki.index.preprocessed.knn
A preprocessor for annotation of the k nearest neighbors and the reverse k nearest neighbors (and their distances) to each database object.
MaterializeKNNAndRKNNPreprocessor(Relation<O>, Distance<? super O>, int) - Constructor for class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
Constructor.
MaterializeKNNAndRKNNPreprocessor.Factory<O> - Class in elki.index.preprocessed.knn
The parameterizable factory.
MaterializeKNNAndRKNNPreprocessor.Factory.Par<O> - Class in elki.index.preprocessed.knn
Parameterization class.
materializeKNNAndRKNNs(ArrayDBIDs, FiniteProgress) - Method in class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
Materializes the kNNs and RkNNs of the specified object IDs.
MaterializeKNNPreprocessor<O> - Class in elki.index.preprocessed.knn
A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
MaterializeKNNPreprocessor(Relation<O>, DistanceQuery<O>, int, boolean) - Constructor for class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
Constructor with preprocessing step.
MaterializeKNNPreprocessor(Relation<O>, Distance<? super O>, int) - Constructor for class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
Constructor with preprocessing step.
MaterializeKNNPreprocessor.Factory<O> - Class in elki.index.preprocessed.knn
The parameterizable factory.
MaterializeKNNPreprocessor.Factory.Par<O> - Class in elki.index.preprocessed.knn
Parameterization class.
materializePRC(ScoreEvaluation.Adapter) - Static method in class elki.evaluation.scores.AUPRCEvaluation
Compute the PR curve given a predicate function and an iterator.
materializePRGC(ScoreEvaluation.Adapter) - Static method in class elki.evaluation.scores.PRGCEvaluation
Compute the PRG curve given a predicate function and an iterator.
materializeROC(ScoreEvaluation.Adapter) - Static method in class elki.evaluation.scores.ROCEvaluation
Compute a ROC curve given a set of positive IDs and a sorted list of (comparable, ID)s, where the comparable object is used to decided when two objects are interchangeable.
MathUtil - Class in elki.math
A collection of math related utility functions.
MathUtil() - Constructor for class elki.math.MathUtil
Fake constructor for static class.
matrix - Variable in class elki.clustering.hierarchical.ClusterDistanceMatrix
Distance matrix (modifiable).
matrix - Variable in class elki.data.projection.random.AbstractRandomProjectionFamily.MatrixProjection
Projection matrix.
matrix - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix
Distance matrix.
matrix - Variable in class elki.index.distancematrix.PrecomputedSimilarityMatrix
Similarity matrix.
matrix - Variable in class elki.index.tree.betula.CFDistanceMatrix
Distance matrix (serialized)
MATRIX - Static variable in class elki.data.type.TypeUtil
Matrix type.
MATRIX_ID - Static variable in class elki.distance.external.DiskCacheBasedDoubleDistance.Par
Parameter that specifies the name of the distance matrix file.
MATRIX_ID - Static variable in class elki.distance.external.DiskCacheBasedFloatDistance.Par
Parameter that specifies the name of the distance matrix file.
MATRIX_ID - Static variable in class elki.distance.external.FileBasedSparseDoubleDistance.Par
Parameter that specifies the name of the distance matrix file.
MATRIX_ID - Static variable in class elki.distance.external.FileBasedSparseFloatDistance.Par
Parameter that specifies the name of the distance matrix file.
matrixfile - Variable in class elki.distance.external.FileBasedSparseDoubleDistance
Input file of distance matrix
matrixfile - Variable in class elki.distance.external.FileBasedSparseDoubleDistance.Par
Input file.
matrixfile - Variable in class elki.distance.external.FileBasedSparseFloatDistance
Input file of distance matrix
matrixfile - Variable in class elki.distance.external.FileBasedSparseFloatDistance.Par
Input file.
matrixIndex - Variable in class elki.database.query.EmpiricalQueryOptimizer
Distance matrix index class.
MatrixProjection(double[][]) - Constructor for class elki.data.projection.random.AbstractRandomProjectionFamily.MatrixProjection
Constructor.
matrixsize - Variable in class elki.persistent.OnDiskUpperTriangleMatrix
Size of the matrix
MatrixWeightedQuadraticDistance - Class in elki.distance
Matrix weighted quadratic distance, the squared form of MahalanobisDistance.
MatrixWeightedQuadraticDistance(double[][]) - Constructor for class elki.distance.MatrixWeightedQuadraticDistance
Constructor.
matSelfInit(ClusterFeature) - Method in class elki.index.tree.betula.distance.AverageIntraclusterDistance
 
matSelfInit(ClusterFeature) - Method in interface elki.index.tree.betula.distance.CFDistance
Initialization for self measure for new Combinatorial clustering Methods (Podani 1989)
matSelfInit(ClusterFeature) - Method in class elki.index.tree.betula.distance.RadiusDistance
 
max - Variable in class elki.data.HyperBoundingBox
The coordinates of the 'upper right' (= maximum) hyper point.
max - Variable in class elki.data.spatial.Polygon
Maximum values
max - Variable in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
Minimum and maximum values.
max - Variable in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Par
Minimum and maximum values.
max - Variable in class elki.distance.external.FileBasedSparseDoubleDistance
Minimum and maximum IDs seen.
max - Variable in class elki.distance.external.FileBasedSparseFloatDistance
Minimum and maximum IDs seen.
max - Variable in class elki.math.DoubleMinMax
Minimum and maximum.
max - Variable in class elki.math.IntegerMinMax
Minimum and maximum.
max - Variable in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.ProblemData
 
max - Variable in class elki.math.MeanVarianceMinMax
Maximum value
max - Variable in class elki.math.scales.LinearScale
max value of the scale
max - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution
Maximum
max - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution.Par
Parameters.
max - Variable in class elki.math.statistics.distribution.UniformDistribution
Maximum
max - Variable in class elki.math.statistics.distribution.UniformDistribution.Par
Parameters.
max - Variable in class elki.outlier.density.IsolationForest.ForestBuilder
Current value range
max - Variable in class elki.result.EvaluationResult.Measurement
Observed value, minimum, maximum, expected value.
max - Variable in class elki.utilities.datastructures.histogram.AbstractStaticHistogram
To avoid introducing an extra bucket for the maximum value.
max - Variable in class elki.utilities.datastructures.range.CombinedIntGenerator
Maximum value.
max - Variable in class elki.utilities.datastructures.range.StaticIntGenerator
Maximum value.
max - Variable in class elki.utilities.scaling.ClipScaling
Field storing the maximum to use
max - Variable in class elki.utilities.scaling.ClipScaling.Par
 
max - Variable in class elki.utilities.scaling.outlier.MinusLogGammaScaling
Maximum value seen
max - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling
Field storing the Maximum value
max - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par
Field storing the Maximum value
max - Variable in class elki.utilities.scaling.outlier.OutlierMinusLogScaling
max - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling
Minimum and maximum values.
max - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par
Predefined maximum value.
max - Variable in class elki.utilities.scaling.outlier.TopKOutlierScaling
The maximum value
max - Variable in class elki.visualization.svg.SVGScoreBar
Value, minimum and maximum values
max(double[], double[]) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
Returns an array that holds the maximum values of the both specified arrays in each index.
max(double, double) - Static method in class elki.math.MathUtil
Binary max, without handling of special values.
max(double, double, double) - Static method in class elki.math.MathUtil
Ternary max, without handling of special values.
max(double, double, double, double) - Static method in class elki.math.MathUtil
Quadrary max, without handling of special values.
max(int, int) - Static method in class elki.math.MathUtil
Binary max.
max(int, int, int) - Static method in class elki.math.MathUtil
Ternary max.
max(int, int, int, int) - Static method in class elki.math.MathUtil
Quadrary max, without handling of special values.
max(Map<Integer, ModifiableDBIDs>) - Method in class elki.clustering.subspace.DiSH.Instance
Returns the set with the maximum size contained in the specified map.
MAX_ARRAY_SIZE - Static variable in class elki.utilities.datastructures.arraylike.DoubleArray
Maximum array size permitted by Java.
MAX_ARRAY_SIZE - Static variable in class elki.utilities.datastructures.arraylike.IntegerArray
Maximum array size permitted by Java.
MAX_ARRAY_SIZE - Static variable in class elki.utilities.datastructures.heap.HeapUtil
Maximum Java array size according to some sources.
MAX_DIMENSIONS_DEFAULT - Static variable in class elki.visualization.projector.ScatterPlotFactory
Maximum number of dimensions to visualize.
MAX_EM_ITERATIONS_ID - Static variable in class elki.clustering.subspace.P3C.Par
Maximum number of iterations for the EM step.
MAX_HEIGHT - Static variable in class elki.visualization.opticsplot.OPTICSPlot
Minimum and maximum vertical resolution.
MAX_HEIGHT - Static variable in class elki.visualization.silhouette.SilhouettePlot
Minimum and maximum vertical resolution.
MAX_ID - Static variable in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Par
Option ID for maximum value.
MAX_ID - Static variable in class elki.math.statistics.distribution.UniformDistribution.Par
Maximum value
MAX_ID - Static variable in class elki.utilities.scaling.ClipScaling
Parameter to specify the maximum value
MAX_ID - Static variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par
Parameter to specify the maximum value.
MAX_ID - Static variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par
Parameter to specify the fixed maximum to use.
MAX_INTERSECTION - elki.clustering.subspace.DiSH.Strategy
Max intersection strategy.
MAX_ITER - Static variable in class elki.math.geodesy.AbstractEarthModel
Maximum number of iterations.
MAX_ITER - Static variable in class elki.math.geodesy.SphereUtil
Maximum number of iterations.
MAX_ITER - Static variable in class elki.outlier.GaussianUniformMixture
Maximum number of iterations to do.
MAX_ITERATIONS - Static variable in class elki.math.statistics.distribution.GammaDistribution
Maximum number of iterations for regularizedGammaP.
MAX_ITERATIONS - Static variable in class elki.outlier.subspace.AggarwalYuEvolutionary
Maximum iteration count for evolutionary search.
MAX_K_ID - Static variable in class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par
Maximum value for k
MAX_RETRIES - Static variable in class elki.outlier.meta.HiCS
Maximum number of retries.
MAX2QUOTIENT - elki.visualization.style.ClusterStylingPolicy.IntensityTransform
 
MAX2QUOTIENTQUAD - elki.visualization.style.ClusterStylingPolicy.IntensityTransform
 
MAX2SUBTRACT - elki.visualization.style.ClusterStylingPolicy.IntensityTransform
 
maxClusterSize(int[][], int, int) - Static method in class elki.evaluation.clustering.Entropy
Get the maximum cluster size of a contingency table.
maxdepth - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree
Maximum depth to choose at.
maxDepth(Layout.Node) - Method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC
Compute the depth of the graph.
maxDev - Variable in class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier
Minimum and maximum allowed deviation.
maxDev - Variable in class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Par
Minimum and maximum allowed deviation.
maxDev - Variable in class elki.data.uncertain.uncertainifier.UniformUncertainifier
Minimum and maximum allowed deviation.
maxDev - Variable in class elki.data.uncertain.uncertainifier.UniformUncertainifier.Par
Minimum and maximum allowed deviation.
maxdim - Variable in class elki.clustering.correlation.LMCLUS.Par
Maximum dimensionality to search for
maxdim - Variable in class elki.data.type.VectorTypeInformation
Maximum dimensionality.
maxdim - Variable in class elki.datasource.filter.typeconversions.SparseVectorFieldFilter
Maximum dimension.
maxdim - Variable in class elki.datasource.parser.NumberVectorLabelParser
Dimensionality reported.
maxdim - Variable in class elki.visualization.projector.HistogramFactory
Maximum dimensionality.
maxdim - Variable in class elki.visualization.projector.HistogramFactory.Par
Stores the maximum number of dimensions to show.
maxdim - Variable in class elki.visualization.projector.ScatterPlotFactory
Stores the maximum number of dimensions to show.
maxdim - Variable in class elki.visualization.projector.ScatterPlotFactory.Par
Stores the maximum number of dimensions to show.
maxdim() - Method in class elki.data.type.VectorTypeInformation
Get the maximum dimensionality of the occurring vectors.
MAXDIM_ID - Static variable in class elki.clustering.correlation.LMCLUS.Par
Parameter with the maximum dimension to search for
MAXDIM_ID - Static variable in class elki.visualization.projector.ScatterPlotFactory.Par
Parameter for the maximum number of dimensions.
maxDimensionality(Relation<? extends SpatialComparable>) - Static method in class elki.database.relation.RelationUtil
Get the dimensionality of a database relation.
maxDist - Variable in class elki.index.tree.metrical.covertree.CoverTree.Node
Maximum distance to descendants.
maxDist - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher
Maximum distance of current node.
maxDist - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.Node
Maximum distance to descendants.
maxDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.EuclideanDistance
Maximum distance of two objects.
maxDistance(DoubleDBIDList) - Method in class elki.index.tree.metrical.covertree.AbstractCoverTree
Find maximum in a list via scanning.
maxDistLevel(DBID, int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures
maxDist function calculate the maximal Distance from Vector p to the border of the corresponding r-region at the given level
maxDistP - Variable in class elki.index.vafile.PartialVAFile.PartialVACandidate
(Current) maximum distance of this candidate.
maxdx - Variable in class elki.math.geometry.XYCurve
Drawing bounds for x
maxdy - Variable in class elki.math.geometry.XYCurve
Drawing bounds for y
maxEmIterations - Variable in class elki.clustering.subspace.P3C
Maximum number of iterations for the EM step.
maxEmIterations - Variable in class elki.clustering.subspace.P3C.Par
Maximum number of iterations for the EM step.
MaxExtensionBulkSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk
Split strategy for bulk-loading a spatial tree where the split axes are the dimensions with maximum extension.
MaxExtensionBulkSplit() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit
Constructor
MaxExtensionBulkSplit.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk
Parameterization class.
MaxExtensionSortTileRecursiveBulkSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk
This is variation of the SortTileRecursiveBulkSplit, incorporating some ideas from MaxExtensionBulkSplit.
MaxExtensionSortTileRecursiveBulkSplit() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit
 
MaxExtensionSortTileRecursiveBulkSplit.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk
Parameterization class.
MAXFAST - Static variable in class elki.math.statistics.distribution.HaltonUniformDistribution
Maximum number of iterations of fast variant
maxheight - Variable in class elki.outlier.density.IsolationForest.ForestBuilder
Maximum height
maxi - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution
Maximum integer to use
maxima - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency
Stores the maximum in each dimension.
maxima - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par
Stores the maximum in each dimension.
maxima - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
Stores the maximum in each dimension.
maxima - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Par
Stores the maximum in each dimension.
maxima - Variable in class elki.datasource.filter.transform.PerturbationFilter
Stores the maximum in each dimension.
maxima - Variable in class elki.datasource.filter.transform.PerturbationFilter.Par
Stores the maximum in each dimension.
MAXIMA_ID - Static variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par
Parameter for maximum.
MAXIMA_ID - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Par
Parameter for maximum.
MAXIMA_ID - Static variable in class elki.datasource.filter.transform.PerturbationFilter.Par
Parameter for maximum.
maximum - Variable in class elki.clustering.optics.OPTICSXi.SteepArea
Maximum value
maximum(int) - Static method in class elki.evaluation.scores.DCGEvaluation
Maximum DCG.
MAXIMUM - elki.clustering.correlation.cash.ParameterizationFunction.ExtremumType
Maximum.
MaximumConditionalEntropy - Class in elki.math.statistics.dependence
Compute a mutual information based dependence measure using a nested means discretization, originally proposed for ordering axes in parallel coordinate plots.
MaximumConditionalEntropy() - Constructor for class elki.math.statistics.dependence.MaximumConditionalEntropy
 
MaximumConditionalEntropy.Par - Class in elki.math.statistics.dependence
Parameterization class.
MaximumDistance - Class in elki.distance.minkowski
Maximum distance for NumberVectors.
MaximumDistance() - Constructor for class elki.distance.minkowski.MaximumDistance
Deprecated.
Use static instance!
MaximumDistance.Par - Class in elki.distance.minkowski
Parameterization class.
MaximumF1Evaluation - Class in elki.evaluation.scores
Evaluate using the maximum F1 score.
MaximumF1Evaluation() - Constructor for class elki.evaluation.scores.MaximumF1Evaluation
 
MaximumF1Evaluation.Par - Class in elki.evaluation.scores
Parameterization class.
MaximumMatchingAccuracy - Class in elki.evaluation.clustering
Calculates the accuracy of a clustering based on the maximum set matching found by the Hungarian algorithm.
MaximumMatchingAccuracy(ClusterContingencyTable) - Constructor for class elki.evaluation.clustering.MaximumMatchingAccuracy
Calculate the maximum matching accuracy.
maxint - Variable in class elki.visualization.style.ClusterStylingPolicy
Intensity scaling
maxIntegerDigits(double[]) - Method in class elki.math.linearalgebra.LinearEquationSystem
Returns the maximum integer digits of the specified values.
maxIntegerDigits(double[][]) - Method in class elki.math.linearalgebra.LinearEquationSystem
Returns the maximum integer digits in each column of the specified values.
maxIntersection(Map<Integer, ModifiableDBIDs>, ModifiableDBIDs) - Method in class elki.clustering.subspace.DiSH.Instance
Returns the index of the set having the maximum intersection set with the specified set contained in the specified map.
MAXIT - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
Maximum number of iterations.
MAXIT - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator
Maximum number of iterations.
maxiter - Variable in class elki.clustering.affinitypropagation.AffinityPropagation
Maximum number of iterations.
maxiter - Variable in class elki.clustering.em.BetulaGMM
Maximum number of iterations.
maxiter - Variable in class elki.clustering.em.BetulaGMM.Par
Maximum number of iterations.
maxiter - Variable in class elki.clustering.em.EM
Maximum number of iterations to allow
maxiter - Variable in class elki.clustering.em.EM.Par
Maximum number of iterations.
maxiter - Variable in class elki.clustering.em.KDTreeEM
maximum amount of iterations
maxiter - Variable in class elki.clustering.em.KDTreeEM.Par
Maximum number of iterations.
maxiter - Variable in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans
Maximum number of iterations.
maxiter - Variable in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans.Par
Maximum number of iterations.
maxiter - Variable in class elki.clustering.kmeans.AbstractKMeans
Maximum number of iterations
maxiter - Variable in class elki.clustering.kmeans.AbstractKMeans.Par
Maximum number of iterations.
maxiter - Variable in class elki.clustering.kmeans.FuzzyCMeans
Maximum number of iterations to allow
maxiter - Variable in class elki.clustering.kmeans.FuzzyCMeans.Par
Maximum number of iterations.
maxiter - Variable in class elki.clustering.kmedoids.AlternatingKMedoids
Maximum number of iterations.
maxiter - Variable in class elki.clustering.kmedoids.AlternatingKMedoids.Par
The maximum number of iterations
maxiter - Variable in class elki.clustering.kmedoids.initialization.AlternateRefinement
Maximum number of refinement iterations.
maxiter - Variable in class elki.clustering.kmedoids.initialization.AlternateRefinement.Par
Maximum number of refinement iterations.
maxiter - Variable in class elki.clustering.kmedoids.PAM
The maximum number of iterations.
maxiter - Variable in class elki.clustering.kmedoids.PAM.Par
The maximum number of iterations.
maxiter - Variable in class elki.clustering.uncertain.UKMeans
Maximum number of iterations
maxiter - Variable in class elki.clustering.uncertain.UKMeans.Par
Maximum number of iterations
maxiter - Variable in class elki.outlier.clustering.EMOutlier
Maximum number of iterations to allow
maxiter - Variable in class elki.outlier.clustering.EMOutlier.Par
Maximum number of iterations.
maxiter - Variable in class tutorial.clustering.SameSizeKMeans.Par
Number of iterations.
MAXITER - Static variable in class elki.clustering.NaiveMeanShiftClustering
Maximum number of iterations.
MAXITER_ID - Static variable in class elki.clustering.em.EM.Par
Parameter to specify the maximum number of iterations.
MAXITER_ID - Static variable in class elki.clustering.em.KDTreeEM.Par
Parameter to specify a maximum number of iterations
MAXITER_ID - Static variable in interface elki.clustering.kmeans.KMeans
Parameter to specify the number of clusters to find, must be an integer greater or equal to 0, where 0 means no limit.
MAXITER_P - Static variable in class elki.clustering.kmedoids.initialization.AlternateRefinement.Par
Maximum number of refinement steps.
maxk - Variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance
K nearest neighbors to use for classification evaluation.
maxk - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators
Benchmark parameters.
maxk - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par
Benchmark parameters.
maxk - Variable in class elki.evaluation.outlier.OutlierPrecisionAtKCurve
Maximum value for k
maxk - Variable in class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par
Maximum value for k
MAXK_ID - Static variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par
Final neighborhood size.
maxleaves - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory
Maximum number of leaves (absolute or relative)
maxleaves - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par
Maximum number of leaves (absolute or relative)
maxleaves - Variable in class elki.index.tree.betula.CFTree.Factory
Maximum number of leaves (absolute or relative)
maxleaves - Variable in class elki.index.tree.betula.CFTree.Factory.Par
Maximum number of leaves (absolute or relative)
maxleaves - Variable in class elki.index.tree.betula.CFTree
Maximum number of leaves allowed
MAXLEAVES_ID - Static variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par
Maximum number of leaves.
MAXLEAVES_ID - Static variable in class elki.index.tree.betula.CFTree.Factory.Par
Maximum number of leaves.
maxlength - Variable in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm
Parameter for minimum and maximum length.
maxlength - Variable in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm.Par
Parameter for minimum and maximum length.
maxLength() - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher
Length of longest itemset.
MAXLENGTH_ID - Static variable in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm.Par
Parameter to specify the maximum itemset length.
maxLevel - Variable in class elki.clustering.correlation.CASH
Maximum level for splitting the hypercube.
maxLevel - Variable in class elki.clustering.correlation.CASH.Par
Maximum level for splitting the hypercube.
MAXLEVEL_ID - Static variable in class elki.clustering.correlation.CASH.Par
Parameter to specify the maximum level for splitting the hypercube, must be an integer greater than 0.
MAXLINEAR - elki.visualization.style.ClusterStylingPolicy.IntensityTransform
 
maxLMDim - Variable in class elki.clustering.correlation.LMCLUS
Maximum cluster dimensionality
maxmeasure - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration
Parameter for maximum interestingness measure.
maxmeasure - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par
Parameter for maximum interestingness measure.
MAXMEASURE_ID - Static variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par
Parameter to specify the maximum threshold for the interestingness measure.
maxnc - Variable in class elki.index.laesa.LAESA.LAESAKNNSearcher
Maximum number of distance computations before also pruning reference points.
maxneighbor - Variable in class elki.clustering.kmedoids.CLARANS
Sampling rate.
maxneighbor - Variable in class elki.clustering.kmedoids.CLARANS.Par
Maximum neighbors to explore.
maxNMI() - Method in class elki.evaluation.clustering.Entropy
Get the max-normalized mutual information.
MAXQUADRATIC - elki.visualization.style.ClusterStylingPolicy.IntensityTransform
 
maxQuant - Variable in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier
Minimum and maximum number of samples.
maxQuant - Variable in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Par
Minimum and maximum number of samples.
maxRegLevel(int, int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures
Level of the maximum region containing ref but not q
maxruns - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Maximum number of iterations in run()
maxsmall - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Maximum number of small improvements (stopping condition)
maxSorting - Variable in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
The entries sorted according to their max values of their MBRs.
maxSplitDimension - Variable in class elki.clustering.correlation.cash.CASHInterval
Holds the maximum dimension which has already been split.
MAXTICKS - Static variable in class elki.math.scales.LinearScale
Maximum number of steps at which to decrease the resolution.
maxValues - Variable in class elki.math.spacefillingcurves.ZCurveTransformer
Maximum values in each dimension.
maxViolating(int[]) - Method in class elki.svm.solver.Solver
 
maxx - Variable in class elki.math.geometry.XYCurve
Minimum and maximum for X axis
maxx - Variable in class elki.math.geometry.XYPlot
Minimum and maximum for X axis
maxx - Variable in class elki.visualization.projections.CanvasSize
Maximum X
maxy - Variable in class elki.math.geometry.XYCurve
Minimum and maximum for Y axis
maxy - Variable in class elki.math.geometry.XYPlot
Minimum and maximum for Y axis
maxy - Variable in class elki.visualization.projections.CanvasSize
Maximum Y
mbr - Variable in class elki.index.tree.spatial.SpatialDirectoryEntry
The minimum bounding rectangle of the underlying spatial node.
mbr(DoubleIntPair[], int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
Computes and returns the mbr of the specified nodes, only the nodes between from and to index are considered.
mbw - Variable in class elki.clustering.em.KDTreeEM
minimum leaf size
mbw - Variable in class elki.clustering.em.KDTreeEM.Par
construction threshold
MBW_ID - Static variable in class elki.clustering.em.KDTreeEM.Par
Parameter to specify the termination criterion for kd-tree construction.
MCDEDependence - Class in elki.math.statistics.dependence
Implementation of bivariate Monte Carlo Density Estimation as described in
MCDEDependence(int, double, double, RandomFactory, MCDETest<?>) - Constructor for class elki.math.statistics.dependence.MCDEDependence
Constructor.
MCDEDependence.Par - Class in elki.math.statistics.dependence
Parameterizer
mcdeTest - Variable in class elki.math.statistics.dependence.MCDEDependence
Statistical Test returning p-value tailored to MCDE Framework.
mcdeTest - Variable in class elki.math.statistics.dependence.MCDEDependence.Par
Holds the value of MCDEDependence.Par.TEST_ID.
MCDETest<R extends MCDETest.RankStruct> - Interface in elki.math.statistics.dependence.mcde
Interface for statistical tests for MCDEDependence.
MCDETest.RankStruct - Class in elki.math.statistics.dependence.mcde
Structure to hold return values in index creation for MCDEDependence
mdist(double[], double[]) - Method in class elki.math.geometry.GrahamScanConvexHull2D
Manhattan distance.
mean - Variable in class elki.clustering.em.models.DiagonalGaussianModel
Mean vector.
mean - Variable in class elki.clustering.em.models.MultivariateGaussianModel
Mean vector.
mean - Variable in class elki.clustering.em.models.SphericalGaussianModel
Mean vector.
mean - Variable in class elki.clustering.em.models.TextbookMultivariateGaussianModel
Mean vector.
mean - Variable in class elki.clustering.em.models.TextbookSphericalGaussianModel
Mean vector.
mean - Variable in class elki.clustering.em.models.TwoPassMultivariateGaussianModel
Mean vector.
mean - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
Stores the mean in each dimension.
mean - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
Stores the mean in each dimension.
mean - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Par
Stores the mean in each dimension.
mean - Variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
Vector for data set centering.
mean - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor
Mean number of distance computations.
mean - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor
Mean number of distance computations
mean - Variable in class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor
Mean number of distance computations
mean - Variable in class elki.index.tree.betula.features.VIIFeature
mean
mean - Variable in class elki.index.tree.betula.features.VVIFeature
mean
mean - Variable in class elki.index.tree.betula.features.VVVFeature
mean
mean - Variable in class elki.math.linearalgebra.CovarianceMatrix
The means.
mean - Variable in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
Mean value for the generator
mean - Variable in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Par
Parameters.
mean - Variable in class elki.math.statistics.distribution.GumbelDistribution.Par
Parameters.
mean - Variable in class elki.math.statistics.distribution.InverseGaussianDistribution
Location value
mean - Variable in class elki.math.statistics.distribution.InverseGaussianDistribution.Par
Parameters.
mean - Variable in class elki.math.statistics.distribution.NormalDistribution
Mean value for the generator
mean - Variable in class elki.math.statistics.distribution.RayleighDistribution.Par
Parameters.
mean - Variable in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Par
Parameters
mean - Variable in class elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling
Mean
mean - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling
Effective parameters.
mean - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par
Pre-fixed minimum and mean.
mean - Variable in class elki.utilities.scaling.outlier.StandardDeviationScaling
Mean to use
Mean - Class in elki.math
Compute the mean using a numerically stable online algorithm.
Mean() - Constructor for class elki.math.Mean
Empty constructor
Mean(Mean) - Constructor for class elki.math.Mean
Constructor from other instance
MEAN - elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
Aggregate using the mean only.
MEAN - elki.index.tree.betula.CFTree.Threshold
Split halfway between minimum and maximum.
MEAN_ID - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Par
Parameter for means.
MEAN_ID - Static variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par
Flag to use the mean as minimum for scaling.
MEAN_ID - Static variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par
Parameter to specify a fixed mean to use.
MEAN_ID - Static variable in class elki.utilities.scaling.outlier.StandardDeviationScaling.Par
Parameter to specify a fixed mean to use.
MEAN_STDDEV - elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
Aggregate as mean and standard deviation.
MEAN_STDDEV_MIN_MAX - elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
Aggregate as mean and standard deviation.
MeanModel - Class in elki.data.model
Cluster model that stores a mean for the cluster.
MeanModel(double[]) - Constructor for class elki.data.model.MeanModel
Constructor with mean
means - Variable in class elki.clustering.kmeans.AbstractKMeans.Instance
Cluster means.
means - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor.Instance
Current mean vectors.
means - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor
Mean vectors.
means(int[], double[][], ClusteringFeature[], int[]) - Method in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans
Calculate means of clusters.
means(int[], double[][], ArrayList<? extends ClusterFeature>, int[]) - Method in class elki.clustering.kmeans.BetulaLloydKMeans
Calculate means of clusters.
means(List<? extends DBIDs>, double[][], Relation<? extends NumberVector>) - Static method in class elki.clustering.kmeans.AbstractKMeans
Returns the mean vectors of the given clusters in the given database.
means(List<? extends DBIDs>, double[][], Relation<? extends NumberVector>) - Static method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
Returns the mean vectors of the given clusters in the given database.
means(List<? extends ModifiableDBIDs>, List<double[]>, Relation<DiscreteUncertainObject>) - Method in class elki.clustering.uncertain.UKMeans
Returns the mean vectors of the given clusters in the given database.
meansFromSums(double[][], double[][], double[][]) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance
Compute means from cluster sums by averaging.
meansFromSums(double[][], double[][], double[][]) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
Compute means from cluster sums by adding and normalizing.
meansWithTreshhold(double) - Method in class elki.clustering.kmeans.KMeansMinusMinus.Instance
Returns the mean vectors of the given clusters in the given database.
MeanVariance - Class in elki.math
Do some simple statistics (mean, variance) using a numerically stable online algorithm.
MeanVariance() - Constructor for class elki.math.MeanVariance
Empty constructor
MeanVariance(MeanVariance) - Constructor for class elki.math.MeanVariance
Constructor from other instance
MeanVarianceDistributionEstimator<D extends Distribution> - Interface in elki.math.statistics.distribution.estimator
Interface for estimators that only need mean and variance.
MeanVarianceMinMax - Class in elki.math
Class collecting mean, variance, minimum and maximum statistics.
MeanVarianceMinMax() - Constructor for class elki.math.MeanVarianceMinMax
Constructor.
MeanVarianceMinMax(MeanVarianceMinMax) - Constructor for class elki.math.MeanVarianceMinMax
Constructor cloning existing statistics.
MeanVarianceSplit - Class in elki.index.tree.spatial.kd.split
Split on the median of the axis with the largest variance.
MeanVarianceSplit() - Constructor for class elki.index.tree.spatial.kd.split.MeanVarianceSplit
 
MeanVarianceSplit.Par - Class in elki.index.tree.spatial.kd.split
Parameterizer
MEANVISITOR - Variable in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Visitor for updating the means.
measure - Variable in class elki.itemsetmining.associationrules.AssociationRule
Measure of the Rule.
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.AddedValue
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.CertaintyFactor
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.Confidence
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.Conviction
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.Cosine
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.GiniIndex
 
measure(int, int, int, int) - Method in interface elki.itemsetmining.associationrules.interest.InterestingnessMeasure
Computes the value of the measure for a given support values
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.Jaccard
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.JMeasure
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.Klosgen
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.LaplaceCorrectedConfidence
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.Leverage
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.Lift
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.OddsRatio
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.PhiCorrelationCoefficient
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.SebagSchonauer
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.YulesQ
 
measure(int, int, int, int) - Method in class elki.itemsetmining.associationrules.interest.YulesY
 
Measurement(String, double, double, double, boolean) - Constructor for class elki.result.EvaluationResult.Measurement
Constructor.
Measurement(String, double, double, double, double, boolean) - Constructor for class elki.result.EvaluationResult.Measurement
Constructor.
MeasurementGroup(String) - Constructor for class elki.result.EvaluationResult.MeasurementGroup
Constructor.
measurements - Variable in class elki.result.EvaluationResult.MeasurementGroup
Measurements in this group.
MED_MAD - elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
Aggregate using median and MAD.
MED_MAD_MIN_MAX - elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
Aggregate using median and MAD.
median - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
Stores the median in each dimension.
median(double[]) - Static method in class elki.utilities.datastructures.QuickSelect
Compute the median of an array efficiently using the QuickSelect method.
median(double[], int, int) - Static method in class elki.utilities.datastructures.QuickSelect
Compute the median of an array efficiently using the QuickSelect method.
median(ArrayModifiableDBIDs, Comparator<? super DBIDRef>) - Static method in class elki.database.ids.QuickSelectDBIDs
Compute the median of an array efficiently using the QuickSelect method.
median(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int, int) - Static method in class elki.database.ids.QuickSelectDBIDs
Compute the median of an array efficiently using the QuickSelect method.
median(ModifiableDoubleDBIDList) - Static method in class elki.database.ids.QuickSelectDBIDs
Compute the median of an array efficiently using the QuickSelect method.
median(ModifiableDoubleDBIDList, int, int) - Static method in class elki.database.ids.QuickSelectDBIDs
Compute the median of an array efficiently using the QuickSelect method.
median(List<? extends T>, Comparator<? super T>) - Static method in class elki.utilities.datastructures.QuickSelect
Compute the median of an array efficiently using the QuickSelect method.
median(List<? extends T>, Comparator<? super T>, int, int) - Static method in class elki.utilities.datastructures.QuickSelect
Compute the median of an array efficiently using the QuickSelect method.
MEDIAN - elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
Aggregate using median.
MEDIAN - elki.clustering.kmeans.KDTreePruningKMeans.Split
K-d-tree typical median split that guarantees minimal height, but tends to produce larger cells.
MEDIAN - elki.index.tree.betula.CFTree.Threshold
Split using the median.
MEDIAN - tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Linkage
 
MEDIAN - tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Linkage
 
MedianLinkage - Class in elki.clustering.hierarchical.linkage
Median-linkage — weighted pair group method using centroids (WPGMC).
MedianLinkage() - Constructor for class elki.clustering.hierarchical.linkage.MedianLinkage
Deprecated.
use the static instance MedianLinkage.STATIC instead.
MedianLinkage.Par - Class in elki.clustering.hierarchical.linkage
Class parameterizer.
medians(List<? extends DBIDs>, double[][], Relation<? extends NumberVector>) - Method in class elki.clustering.kmeans.KMediansLloyd.Instance
Returns the median vectors of the given clusters in the given database.
MedianSplit - Class in elki.index.tree.spatial.kd.split
Split on the median of the axis with the largest length.
MedianSplit() - Constructor for class elki.index.tree.spatial.kd.split.MedianSplit
 
MedianSplit.Par - Class in elki.index.tree.spatial.kd.split
Parameterizer
MedianVarianceSplit - Class in elki.index.tree.spatial.kd.split
Split on the median of the axis with the largest variance.
MedianVarianceSplit() - Constructor for class elki.index.tree.spatial.kd.split.MedianVarianceSplit
 
MedianVarianceSplit.Par - Class in elki.index.tree.spatial.kd.split
Parameterizer
MedoidLinkage<O> - Class in elki.clustering.hierarchical
Medoid linkage uses the distance of medoids as criterion.
MedoidLinkage(Distance<? super O>) - Constructor for class elki.clustering.hierarchical.MedoidLinkage
Constructor.
MedoidLinkage.Instance - Class in elki.clustering.hierarchical
Main worker instance of AGNES.
MedoidModel - Class in elki.data.model
Cluster model that stores a mean for the cluster.
MedoidModel(DBID) - Constructor for class elki.data.model.MedoidModel
Constructor with medoid
medoids - Variable in class elki.clustering.kmedoids.CLARANS.Assignment
Medoids
medoidsilhouette(IntegerDataStore, DBIDArrayIter) - Method in class elki.clustering.silhouette.PAMMEDSIL.Instance
Evaluate the average medoid Silhouette of the current cluster assignment
medoidsilhouette(IntegerDataStore, DBIDArrayIter, int, DBIDRef) - Method in class elki.clustering.silhouette.PAMMEDSIL.Instance
Evaluate the average medoid Silhouette of the current cluster assignment
MedoidsInstance(DBIDs, DistanceQuery<?>, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.KMeansPlusPlus.MedoidsInstance
 
MEGA - Static variable in class elki.database.query.EmpiricalQueryOptimizer
Megabytes for formatting memory.
MEGABYTES - Static variable in class elki.svm.qmatrix.CachedQMatrix
Constant for parameterization in megabytes
members - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster
New ids, not yet in child clusters.
MemoryDataStoreFactory - Class in elki.database.datastore.memory
Simple factory class that will store all data in memory using object arrays or hashmaps.
MemoryDataStoreFactory() - Constructor for class elki.database.datastore.memory.MemoryDataStoreFactory
 
MemoryKDTree<O extends NumberVector> - Class in elki.index.tree.spatial.kd
Implementation of a static in-memory K-D-tree.
MemoryKDTree(Relation<O>, int) - Constructor for class elki.index.tree.spatial.kd.MemoryKDTree
Constructor with default split (used by EmpiricalQueryOptimizer).
MemoryKDTree(Relation<O>, SplitStrategy, int) - Constructor for class elki.index.tree.spatial.kd.MemoryKDTree
Constructor.
MemoryKDTree.CountingRelation - Class in elki.index.tree.spatial.kd
Proxy to count accesses.
MemoryKDTree.Factory<O extends NumberVector> - Class in elki.index.tree.spatial.kd
Factory class
MemoryKDTree.Factory.Par<O extends NumberVector> - Class in elki.index.tree.spatial.kd
Parameterization class.
MemoryKDTree.KDNode - Class in elki.index.tree.spatial.kd
KD tree node.
MemoryKDTree.KDTreeKNNSearcher - Class in elki.index.tree.spatial.kd
kNN query for the k-d-tree.
MemoryKDTree.KDTreePrioritySearcher - Class in elki.index.tree.spatial.kd
Priority search for the k-d-tree.
MemoryKDTree.KDTreeRangeSearcher - Class in elki.index.tree.spatial.kd
Range query for the k-d-tree.
MemoryKDTree.PrioritySearchBranch - Class in elki.index.tree.spatial.kd
Search position for priority search.
MemoryPageFile<P extends Page> - Class in elki.persistent
A memory based implementation of a PageFile that simulates I/O-access.
MemoryPageFile(int) - Constructor for class elki.persistent.MemoryPageFile
Creates a new MemoryPageFile that is supported by a cache with the specified parameters.
MemoryPageFileFactory<P extends Page> - Class in elki.persistent
Page file factory for memory page files.
MemoryPageFileFactory(int) - Constructor for class elki.persistent.MemoryPageFileFactory
Constructor.
MemoryPageFileFactory.Par - Class in elki.persistent
Parameterization class.
MENU - elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.State
 
menubar - Variable in class elki.visualization.gui.ResultWindow.DynamicMenu
Menubar component
menubar - Variable in class elki.visualization.gui.ResultWindow
 
menuItemClicked(int) - Method in class elki.visualization.parallel3d.util.SimpleMenuOverlay
Callback when a menu item was clicked.
menuOverlay - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
Menu overlay.
menuStarter - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
Handler to open the menu.
merge(double[], int, double[], int) - Method in class elki.clustering.hierarchical.linkage.CentroidLinkage
 
merge(double[], int, double[], int) - Method in interface elki.clustering.hierarchical.linkage.GeometricLinkage
Merge the aggregated vectors.
merge(double[], int, double[], int) - Method in class elki.clustering.hierarchical.linkage.MedianLinkage
 
merge(double[], int, double[], int) - Method in class elki.clustering.hierarchical.linkage.WardLinkage
 
merge(double, int, int) - Method in class elki.clustering.hierarchical.AGNES.Instance
Execute the cluster merge.
merge(double, int, int) - Method in class elki.clustering.hierarchical.Anderberg.Instance
 
merge(int, double[][], ClusterMergeHistoryBuilder, int[], double, int, int) - Method in class elki.clustering.hierarchical.LinearMemoryNNChain.Instance
Execute the cluster merge.
merge(int, int) - Method in class elki.clustering.hierarchical.HACAM.Instance
Execute the cluster merge.
merge(int, int) - Method in class elki.clustering.hierarchical.MedoidLinkage.Instance
Execute the cluster merge.
merge(int, int) - Method in class elki.clustering.hierarchical.MiniMax.Instance
Merges two clusters given by x, y, their points with smallest IDs, and y to keep
merge(int, int) - Method in class elki.clustering.hierarchical.MiniMaxAnderberg.Instance
 
merge(Relation<? extends NumberVector>, List<ORCLUS.ORCLUSCluster>, int, int, IndefiniteProgress) - Method in class elki.clustering.correlation.ORCLUS
Reduces the number of seeds to k_new
merge(DoubleMinMax) - Method in class elki.parallel.processor.DoubleMinMaxProcessor
Merge the result of an instance.
MERGE_NOISE - elki.evaluation.clustering.internal.NoiseHandling
Merge all noise into a cluster
mergeClusterCores(int, ArrayList<P3C.Signature>) - Method in class elki.clustering.subspace.P3C
Merge 1-signatures into p-signatures.
mergeClusterInformation(ModifiableDBIDs, WritableIntegerDataStore, WritableDataStore<Assignment>) - Method in class elki.clustering.dbscan.GriDBSCAN.Instance
Merge cluster information.
mergecount - Variable in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder
Merge counter (for merge ordering).
mergeCSSFrom(CSSClassManager) - Method in class elki.visualization.css.CSSClassManager
Merge CSS classes, for example to merge two plots.
mergeDistance - Variable in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder
Distance to the parent object.
MergedParameterization - Class in elki.utilities.optionhandling.parameterization
This configuration can be "rewound" to allow the same values to be consumed multiple times, by different classes.
MergedParameterization(Parameterization) - Constructor for class elki.utilities.optionhandling.parameterization.MergedParameterization
Constructor.
MergedParameterization(Parameterization, ListParameterization, List<ListParameterization.ParameterPair>) - Constructor for class elki.utilities.optionhandling.parameterization.MergedParameterization
Constructor for descending
mergeJoin(DBIDs, DBIDs) - Method in class elki.itemsetmining.Eclat
 
merges - Variable in class elki.clustering.hierarchical.ClusterMergeHistory
Store merge order (two cluster references per merge).
merges - Variable in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder
Store merge order.
merges - Variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance
The hierarchical result to process.
merges - Variable in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Instance
The hierarchical result to process.
merges - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance
The hierarchical result to process.
merges - Variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance
The hierarchical result to process.
mergeSignatures(P3C.Signature, P3C.Signature, int) - Method in class elki.clustering.subspace.P3C
Generates a merged signature of this and another one, where the other signature must be a 1-signature.
mergeWith(Core) - Method in class elki.clustering.dbscan.util.Core
Merge two cores.
message - Variable in class elki.visualization.parallel3d.util.SimpleMessageOverlay
Message to display.
message(String) - Static method in class elki.logging.LoggingUtil
Static version to log a 'info' message.
message(String, Throwable) - Static method in class elki.logging.LoggingUtil
Static version to log a 'info' message.
MessageFormatter - Class in elki.logging
A formatter to simply retrieve the message of an LogRecord without printing origin information.
MessageFormatter() - Constructor for class elki.logging.MessageFormatter
Constructor.
messageOverlay - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
Message overlay.
meta - Variable in class elki.datasource.bundle.BundleReader
Bundle metadata.
meta - Variable in class elki.datasource.bundle.MultipleObjectsBundle
Storing the meta data.
meta - Variable in class elki.datasource.bundle.SingleObjectBundle
Store the meta data.
meta - Variable in class elki.datasource.filter.AbstractStreamConversionFilter
The filtered meta.
meta - Variable in class elki.datasource.filter.cleaning.VectorDimensionalityFilter
The filtered meta.
meta - Variable in class elki.datasource.filter.FixedDBIDsFilter
The filtered meta
meta - Variable in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter
Current meta data
meta - Variable in class elki.datasource.parser.ClusteringVectorParser
Metadata.
meta - Variable in class elki.datasource.parser.NumberVectorLabelParser
Metadata.
meta - Variable in class elki.datasource.parser.SimplePolygonParser
Metadata.
meta - Variable in class elki.datasource.parser.SimpleTransactionParser
Metadata.
meta - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Instance
Metadata for printing.
meta - Variable in class elki.result.AssociationRuleResult
Metadata of the data relation, for item labels.
meta - Variable in class elki.result.FrequentItemsetsResult
Metadata of the data relation, for item labels.
meta - Variable in class elki.result.outlier.OutlierResult
Outlier score meta information
meta - Variable in class elki.utilities.scaling.outlier.OutlierGammaScaling
Keep a reference to the outlier score meta, for normalization.
meta() - Method in class elki.datasource.bundle.MultipleObjectsBundle
 
meta() - Method in interface elki.datasource.bundle.ObjectBundle
Access the meta data.
meta() - Method in class elki.datasource.bundle.SingleObjectBundle
 
meta(int) - Method in class elki.datasource.bundle.MultipleObjectsBundle
 
meta(int) - Method in interface elki.datasource.bundle.ObjectBundle
Access the meta data.
meta(int) - Method in class elki.datasource.bundle.SingleObjectBundle
 
Meta(int) - Constructor for class tutorial.clustering.SameSizeKMeans.Meta
Constructor.
META_ALGORITHM_ID - Static variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par
Parameter to hand an algorithm for creating the meta-clustering to our instance of RepresentativeUncertainClustering.
META_CHANGED - elki.datasource.bundle.BundleStreamSource.Event
 
metaAlgorithm - Variable in class elki.clustering.uncertain.RepresentativeUncertainClustering
The algorithm for meta-clustering.
metaAlgorithm - Variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par
Field to store the inner algorithm for meta-clustering
Metadata - Class in elki.result
Metadata management class.
Metadata(Object) - Constructor for class elki.result.Metadata
Constructor, use via static methods only!
Metadata.CleanerThread - Class in elki.result
Cleanup thread.
Metadata.EagerIt<O> - Class in elki.result
Base class for iterators that need to look ahead, e.g., to check conditions on the next element.
Metadata.Hierarchy - Class in elki.result
Class to represent hierarchy information.
Metadata.Hierarchy.ItrAnc - Class in elki.result
Iterator over all ancestors.
Metadata.Hierarchy.ItrChildren - Class in elki.result
Child iterator.
Metadata.Hierarchy.ItrChildrenReverse - Class in elki.result
Child iterator.
Metadata.Hierarchy.ItrDesc - Class in elki.result
Iterator over all descendants.
Metadata.Hierarchy.ItrParents - Class in elki.result
Parent iterator.
Metadata.Hierarchy.ItrParentsReverse - Class in elki.result
Parent iterator.
metaLength() - Method in class elki.datasource.bundle.MultipleObjectsBundle
 
metaLength() - Method in interface elki.datasource.bundle.ObjectBundle
Get the metadata length.
metaLength() - Method in class elki.datasource.bundle.SingleObjectBundle
 
MetricalIndexApproximationMaterializeKNNPreprocessor<O extends NumberVector,​N extends Node<E>,​E extends MTreeEntry> - Class in elki.index.preprocessed.knn
A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
MetricalIndexApproximationMaterializeKNNPreprocessor(Relation<O>, Distance<? super O>, int) - Constructor for class elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor
Constructor
MetricalIndexApproximationMaterializeKNNPreprocessor.Factory<O extends NumberVector,​N extends Node<E>,​E extends MTreeEntry> - Class in elki.index.preprocessed.knn
The parameterizable factory.
MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Par<O extends NumberVector,​N extends Node<E>,​E extends MTreeEntry> - Class in elki.index.preprocessed.knn
Parameterization class.
MetricalIndexTree<O,​N extends Node<E>,​E> - Class in elki.index.tree.metrical
Abstract super class for all metrical index classes.
MetricalIndexTree(PageFile<N>) - Constructor for class elki.index.tree.metrical.MetricalIndexTree
Constructor.
mfactory - Variable in class elki.clustering.em.EM
Factory for producing the initial cluster model.
mfactory - Variable in class elki.clustering.em.EM.Par
Cluster model factory.
mfactory - Variable in class elki.clustering.em.KDTreeEM
Factory for producing the initial cluster model.
mfactory - Variable in class elki.clustering.em.KDTreeEM.Par
Cluster model factory.
mfactory - Variable in class elki.outlier.clustering.EMOutlier
Factory for producing the initial cluster model.
mfactory - Variable in class elki.outlier.clustering.EMOutlier.Par
Cluster model factory.
mgamma - Variable in class elki.similarity.kernel.LaplaceKernel
Scaling factor mgamma. (= - 1/sigma)
mgamma - Variable in class elki.similarity.kernel.RadialBasisFunctionKernel
Scaling factor mgamma = -1/(2 sigma^2).
mi - Variable in class elki.clustering.hierarchical.MedoidLinkage.Instance
Iterators into medoid array.
mib - Variable in class elki.clustering.optics.OPTICSXi.SteepDownArea
mid - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.KDNode
Midpoint
midpoint - Variable in class elki.clustering.em.KDTreeEM.KDTree
Middle point of bounding box
MIDPOINT - elki.clustering.kmeans.KDTreePruningKMeans.Split
Split halfway between minimum and maximum.
MidpointSplit - Class in elki.index.tree.spatial.kd.split
Classic midpoint split, halfway on the axis of largest extend.
MidpointSplit() - Constructor for class elki.index.tree.spatial.kd.split.MidpointSplit
 
MidpointSplit.Par - Class in elki.index.tree.spatial.kd.split
Parameterizer
MillisTimeDuration - Class in elki.logging.statistics
Class that tracks the runtime of a task with System.nanoTime()
MillisTimeDuration(String) - Constructor for class elki.logging.statistics.MillisTimeDuration
Constructor.
min - Variable in class elki.data.HyperBoundingBox
The coordinates of the 'lower left' (= minimum) hyper point.
min - Variable in class elki.data.spatial.Polygon
Minimum values
min - Variable in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
Minimum and maximum values.
min - Variable in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Par
Minimum and maximum values.
min - Variable in class elki.distance.external.FileBasedSparseDoubleDistance
Minimum and maximum IDs seen.
min - Variable in class elki.distance.external.FileBasedSparseFloatDistance
Minimum and maximum IDs seen.
min - Variable in class elki.math.DoubleMinMax
Minimum and maximum.
min - Variable in class elki.math.IntegerMinMax
Minimum and maximum.
min - Variable in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.ProblemData
 
min - Variable in class elki.math.MeanVarianceMinMax
Minimum value
min - Variable in class elki.math.scales.LinearScale
min value of the scale
min - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution
Minimum
min - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution.Par
Parameters.
min - Variable in class elki.math.statistics.distribution.UniformDistribution
Minimum
min - Variable in class elki.math.statistics.distribution.UniformDistribution.Par
Parameters.
min - Variable in class elki.outlier.density.IsolationForest.ForestBuilder
Current value range
min - Variable in class elki.outlier.distance.HilOut.HilbertFeatures
Data space minimums
min - Variable in class elki.outlier.lof.ALOCI.ALOCIQuadTree
Tree parameters
min - Variable in class elki.result.EvaluationResult.Measurement
Observed value, minimum, maximum, expected value.
min - Variable in class elki.utilities.datastructures.range.CombinedIntGenerator
Minimum.
min - Variable in class elki.utilities.datastructures.range.StaticIntGenerator
Minimum.
min - Variable in class elki.utilities.scaling.ClipScaling
Field storing the minimum to use
min - Variable in class elki.utilities.scaling.ClipScaling.Par
 
min - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling
Field storing the Minimum to use
min - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par
Field storing the Minimum to use
min - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling
Minimum and maximum values.
min - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par
Predefined minimum value.
min - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling
Effective parameters.
min - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par
Pre-fixed minimum and mean.
min - Variable in class elki.visualization.svg.SVGScoreBar
Value, minimum and maximum values
min(double, double) - Static method in class elki.math.MathUtil
Binary min, without handling of special values.
min(double, double, double) - Static method in class elki.math.MathUtil
Ternary min, without handling of special values.
min(double, double, double, double) - Static method in class elki.math.MathUtil
Quadrary min, without handling of special values.
min(int, int) - Static method in class elki.math.MathUtil
Binary min, without handling of special values.
min(int, int, int) - Static method in class elki.distance.strings.LevenshteinDistance
Three-way integer minimum.
min(int, int, int) - Static method in class elki.math.MathUtil
Ternary min, without handling of special values.
min(int, int, int, int) - Static method in class elki.math.MathUtil
Quadrary min, without handling of special values.
min(A, NumberArrayAdapter<?, A>, double, double) - Static method in interface elki.math.statistics.distribution.estimator.LogMOMDistributionEstimator
Utility function to find minimum and maximum values.
MIN_CLUSTER_SIZE_ID - Static variable in class elki.clustering.subspace.P3C.Par
Minimum cluster size for noise flagging.
MIN_COLUMN_REMOVE_THRESHOLD - Static variable in class elki.clustering.biclustering.ChengAndChurch
The minimum number of columns that the database must have so that a removal of columns is performed in ChengAndChurch.multipleNodeDeletion(double[][], elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate).
MIN_GAIN - Static variable in class elki.projection.SNE
Minimum gain in learning rate.
MIN_GAIN - Static variable in class elki.projection.TSNE
Minimum gain in learning rate.
MIN_HEIGHT - Static variable in class elki.visualization.opticsplot.OPTICSPlot
Minimum and maximum vertical resolution.
MIN_HEIGHT - Static variable in class elki.visualization.silhouette.SilhouettePlot
Minimum and maximum vertical resolution.
MIN_ID - Static variable in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Par
Option ID for minimum value.
MIN_ID - Static variable in class elki.math.statistics.distribution.UniformDistribution.Par
Minimum value
MIN_ID - Static variable in class elki.utilities.scaling.ClipScaling
Parameter to specify a fixed minimum to use.
MIN_ID - Static variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par
Parameter to specify a fixed minimum to use.
MIN_ID - Static variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par
Parameter to specify the fixed minimum to use.
MIN_ID - Static variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par
Parameter to specify the fixed minimum to use.
MIN_LOGLIKELIHOOD - Static variable in class elki.clustering.em.BetulaGMM
Minimum loglikelihood to avoid -infinity.
MIN_LOGLIKELIHOOD - Static variable in class elki.clustering.em.EM
Minimum loglikelihood to avoid -infinity.
MIN_LOGLIKELIHOOD - Static variable in class elki.outlier.clustering.EMOutlier
Minimum loglikelihood to avoid -infinity.
MIN_PIJ - Static variable in class elki.projection.GaussianAffinityMatrixBuilder
Minimum value for pij entries (even when duplicate)
MIN_PIJ - Static variable in class elki.projection.PerplexityAffinityMatrixBuilder
Minimum value for pij entries (even when duplicate)
MIN_QIJ - Static variable in class elki.projection.SNE
Minimum value for qij entries (even when duplicate)
MIN_QIJ - Static variable in class elki.projection.TSNE
Minimum value for qij entries (even when duplicate)
MIN_ROW_REMOVE_THRESHOLD - Static variable in class elki.clustering.biclustering.ChengAndChurch
The minimum number of rows that the database must have so that a removal of rows is performed in ChengAndChurch.multipleNodeDeletion(double[][], elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate).
minBandwidth - Variable in class elki.outlier.lof.KDEOS
Kernel minimum bandwidth.
minc - Variable in class elki.utilities.datastructures.KuhnMunkres
Position of uncovered minimum column
minClSize - Variable in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction
Minimum cluster size.
minClSize - Variable in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Par
Minimum cluster size.
minClSize - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction
Minimum cluster size.
minClSize - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Par
Minimum cluster size.
minClSize - Variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction
Minimum cluster size.
minClSize - Variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Par
Minimum cluster size.
minclusters - Variable in class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters
Minimum number of clusters to extract
minclusters - Variable in class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Par
Number of clusters to extract.
MINCLUSTERS_ID - Static variable in class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Par
The minimum number of clusters to extract.
minClusterSize - Variable in class elki.clustering.subspace.P3C
Minimum cluster size for noise flagging.
minClusterSize - Variable in class elki.clustering.subspace.P3C.Par
Minimum cluster size for noise flagging.
MINCLUSTERSIZE_ID - Static variable in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Par
The minimum size of clusters to extract.
MINCLUSTERSIZE_ID - Static variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Par
The minimum size of clusters to extract.
MINCLUSTERSIZE_ID - Static variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Par
The minimum size of clusters to extract.
minConfidence - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm
Mininum confidence.
minConfidence - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Par
Mininum confidence.
minCosAngle(SpatialComparable, SpatialComparable) - Static method in class elki.data.VectorUtil
Compute the minimum angle between two rectangles.
minDev - Variable in class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier
Minimum and maximum allowed deviation.
minDev - Variable in class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Par
Minimum and maximum allowed deviation.
minDev - Variable in class elki.data.uncertain.uncertainifier.UniformUncertainifier
Minimum and maximum allowed deviation.
minDev - Variable in class elki.data.uncertain.uncertainifier.UniformUncertainifier.Par
Minimum and maximum allowed deviation.
mindim - Variable in class elki.clustering.subspace.SUBCLU
Minimum dimensionality.
mindim - Variable in class elki.clustering.subspace.SUBCLU.Par
Minimum dimensionality.
mindim - Variable in class elki.data.projection.FeatureSelection
Minimum dimensionality required for projection.
mindim - Variable in class elki.data.projection.NumericalFeatureSelection
Minimum dimensionality required for projection.
mindim - Variable in class elki.data.type.VectorTypeInformation
Minimum dimensionality.
mindim - Variable in class elki.datasource.parser.NumberVectorLabelParser
Dimensionality reported.
mindim() - Method in class elki.data.type.VectorTypeInformation
Get the minimum dimensionality of the occurring vectors.
minDim - Variable in class elki.clustering.correlation.CASH
Minimum dimensionality of the subspaces to be found
minDim - Variable in class elki.clustering.correlation.CASH.Par
Minimum dimensionality of the subspaces to be found
MINDIM_ID - Static variable in class elki.clustering.correlation.CASH.Par
Parameter to specify the minimum dimensionality of the subspaces to be found, must be an integer greater than 0.
MINDIM_ID - Static variable in class elki.clustering.subspace.SUBCLU.Par
Minimum dimensionality to generate clusters.
mindist - Variable in class elki.algorithm.KNNJoin.Task
Minimum distance.
mindist - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeSearchCandidate
Distance value
mindist - Variable in class elki.index.tree.metrical.vptree.GNAT.PrioritySearchBranch
Minimum distance
mindist - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.PrioritySearchBranch
Minimum distance
mindist - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.PrioritySearchBranch
Minimum distance
mindist - Variable in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher
Distance to current node
mindist - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher
Distance to current node
mindist(double[], double[], double[]) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance
Get the smallest maximum distance for pruning.
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.ArcCosineDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.ArcCosineUnitlengthDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.BrayCurtisDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.CanberraDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.ClarkDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.colorhistogram.HistogramIntersectionDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.CosineDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.CosineUnitlengthDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.geo.DimensionSelectingLatLngDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.geo.LatLngDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.geo.LngLatDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.histogram.HistogramMatchDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.EuclideanDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.LPIntegerNormDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.LPNormDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.ManhattanDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.MaximumDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.MinimumDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.SquaredEuclideanDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.WeightedEuclideanDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.WeightedLPNormDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.WeightedManhattanDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.WeightedMaximumDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.minkowski.WeightedSquaredEuclideanDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.probabilistic.ChiDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.probabilistic.ChiSquaredDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.probabilistic.FisherRaoDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.probabilistic.HellingerDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.probabilistic.JeffreyDivergenceDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.probabilistic.JensenShannonDivergenceDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.probabilistic.SqrtJensenShannonDivergenceDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.probabilistic.TriangularDiscriminationDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.probabilistic.TriangularDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in interface elki.distance.SpatialPrimitiveDistance
Computes the distance between the two given MBRs according to this distance function.
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.SqrtCosineDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.SqrtCosineUnitlengthDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.subspace.OnedimensionalDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.subspace.SubspaceEuclideanDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.subspace.SubspaceLPNormDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.subspace.SubspaceManhattanDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.subspace.SubspaceMaximumDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.distance.WeightedCanberraDistance
 
minDist(SpatialComparable, SpatialComparable) - Method in class elki.similarity.Kulczynski1Similarity
 
minDist(SpatialComparable, DBIDRef) - Method in interface elki.database.query.distance.SpatialDistanceQuery
Computes the minimum distance between the given MBR and the FeatureVector object according to this distance function.
minDist(SpatialComparable, DBIDRef) - Method in class elki.database.query.distance.SpatialPrimitiveDistanceQuery
 
minDist(SpatialComparable, V) - Method in interface elki.database.query.distance.SpatialDistanceQuery
Computes the minimum distance between the given MBR and the FeatureVector object according to this distance function.
minDist(SpatialComparable, V) - Method in class elki.database.query.distance.SpatialPrimitiveDistanceQuery
 
MINDIST - elki.application.experiments.VisualizeGeodesicDistances.Mode
Mindist
minDistDeg(double, double, double, double, double, double) - Method in class elki.math.geodesy.AbstractEarthModel
 
minDistDeg(double, double, double, double, double, double) - Method in interface elki.math.geodesy.EarthModel
Compute a lower bound for the geodetic distance point to rectangle.
minDistLevel(DBID, int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures
minDist function calculate the minimal Distance from Vector p to the border of the corresponding r-region at the given level
minDistObject(SpatialComparable, NumberVector) - Method in class elki.distance.subspace.SubspaceEuclideanDistance
 
minDistObject(SpatialComparable, NumberVector) - Method in class elki.distance.subspace.SubspaceLPNormDistance
 
minDistObject(SpatialComparable, NumberVector) - Method in class elki.distance.subspace.SubspaceManhattanDistance
 
minDistObject(SpatialComparable, NumberVector) - Method in class elki.distance.subspace.SubspaceMaximumDistance
 
minDistP - Variable in class elki.index.vafile.PartialVAFile.PartialVACandidate
(Current) minimum distance of this candidate.
minDistRad(double, double, double, double, double, double) - Method in class elki.math.geodesy.AbstractEarthModel
 
minDistRad(double, double, double, double, double, double) - Method in interface elki.math.geodesy.EarthModel
Compute a lower bound for the geodetic distance point to rectangle.
minDot(SpatialComparable, SpatialComparable) - Static method in class elki.data.VectorUtil
Compute the minimum angle between two rectangles, assuming unit length vectors
mindx - Variable in class elki.math.geometry.XYCurve
Drawing bounds for x
mindy - Variable in class elki.math.geometry.XYCurve
Drawing bounds for y
minHeap - Variable in class elki.clustering.kmeans.KMeansMinusMinus.Instance
Heap of the noise candidates.
MiniGUI - Class in elki.gui.minigui
Minimal GUI built around a table-based parameter editor.
MiniGUI() - Constructor for class elki.gui.minigui.MiniGUI
Constructor.
MiniGUI.SettingsComboboxModel - Class in elki.gui.minigui
Class to interface between the saved settings list and a JComboBox.
minima - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency
Stores the minimum in each dimension.
minima - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par
Stores the minimum in each dimension.
minima - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
Stores the minimum in each dimension.
minima - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Par
Stores the minimum in each dimension.
minima - Variable in class elki.datasource.filter.transform.PerturbationFilter
Stores the minimum in each dimension.
minima - Variable in class elki.datasource.filter.transform.PerturbationFilter.Par
Stores the minimum in each dimension.
MINIMA_ID - Static variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par
Parameter for minimum.
MINIMA_ID - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Par
Parameter for minimum.
MINIMA_ID - Static variable in class elki.datasource.filter.transform.PerturbationFilter.Par
Parameter for minimum.
MinimalisticMemoryKDTree<O extends NumberVector> - Class in elki.index.tree.spatial.kd
Simple implementation of a static in-memory K-D-tree.
MinimalisticMemoryKDTree(Relation<O>, int) - Constructor for class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
Constructor.
MinimalisticMemoryKDTree.CountSortAccesses - Class in elki.index.tree.spatial.kd
Class to count object accesses during construction.
MinimalisticMemoryKDTree.Factory<O extends NumberVector> - Class in elki.index.tree.spatial.kd
Factory class
MinimalisticMemoryKDTree.Factory.Par<O extends NumberVector> - Class in elki.index.tree.spatial.kd
Parameterization class.
MinimalisticMemoryKDTree.KDTreeKNNSearcher - Class in elki.index.tree.spatial.kd
kNN query for the k-d-tree.
MinimalisticMemoryKDTree.KDTreePrioritySearcher - Class in elki.index.tree.spatial.kd
Priority search for the k-d-tree.
MinimalisticMemoryKDTree.KDTreeRangeSearcher - Class in elki.index.tree.spatial.kd
Range query for the k-d-tree.
MinimalisticMemoryKDTree.PrioritySearchBranch - Class in elki.index.tree.spatial.kd
Search position for priority search.
MinimalMarkers - Class in elki.visualization.style.marker
Simple marker library that just draws colored rectangles at the given coordinates.
MinimalMarkers(StyleLibrary) - Constructor for class elki.visualization.style.marker.MinimalMarkers
Constructor
MiniMax<O> - Class in elki.clustering.hierarchical
Minimax Linkage clustering.
MiniMax(Distance<? super O>) - Constructor for class elki.clustering.hierarchical.MiniMax
Constructor.
MiniMax.Instance - Class in elki.clustering.hierarchical
Main worker instance of MiniMax.
MiniMaxAnderberg<O> - Class in elki.clustering.hierarchical
This is a modification of the classic MiniMax algorithm for hierarchical clustering using a nearest-neighbor heuristic for acceleration.
MiniMaxAnderberg(Distance<? super O>) - Constructor for class elki.clustering.hierarchical.MiniMaxAnderberg
Constructor.
MiniMaxAnderberg.Instance - Class in elki.clustering.hierarchical
Main worker instance of MiniMax.
MiniMaxNNChain<O> - Class in elki.clustering.hierarchical
MiniMax hierarchical clustering using the NNchain algorithm.
MiniMaxNNChain(Distance<? super O>) - Constructor for class elki.clustering.hierarchical.MiniMaxNNChain
Constructor.
MiniMaxNNChain.Instance - Class in elki.clustering.hierarchical
Main worker instance of MiniMaxNNChain.
MINIMUM - elki.clustering.correlation.cash.ParameterizationFunction.ExtremumType
Minimum.
MINIMUM_SUM - elki.clustering.hierarchical.HACAM.Variant
Minimum sum variant
MINIMUM_SUM_INCREASE - elki.clustering.hierarchical.HACAM.Variant
Minimum sum increase variant
MinimumDistance - Class in elki.distance.minkowski
Minimum distance for NumberVectors.
MinimumDistance() - Constructor for class elki.distance.minkowski.MinimumDistance
Deprecated.
Use static instance!
MinimumDistance.Par - Class in elki.distance.minkowski
Parameterization class.
MinimumEnlargementInsert<N extends AbstractMTreeNode<?,​N,​E>,​E extends MTreeEntry> - Class in elki.index.tree.metrical.mtreevariants.strategies.insert
Minimum enlargement insert - default insertion strategy for the M-tree.
MinimumEnlargementInsert() - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.insert.MinimumEnlargementInsert
 
MinimumVarianceLinkage - Class in elki.clustering.hierarchical.linkage
Minimum increase in variance (MIVAR) linkage.
MinimumVarianceLinkage() - Constructor for class elki.clustering.hierarchical.linkage.MinimumVarianceLinkage
Deprecated.
use the static instance MinimumVarianceLinkage.STATIC instead.
MinimumVarianceLinkage.Par - Class in elki.clustering.hierarchical.linkage
Class parameterizer.
minint - Variable in class elki.visualization.style.ClusterStylingPolicy
Intensity scaling
miniter - Variable in class elki.clustering.em.EM
Minimum number of iterations to do
miniter - Variable in class elki.clustering.em.EM.Par
Minimum number of iterations.
miniter - Variable in class elki.clustering.em.KDTreeEM
minimum amount of iterations
miniter - Variable in class elki.clustering.em.KDTreeEM.Par
Minimum number of iterations.
miniter - Variable in class elki.clustering.kmeans.FuzzyCMeans
Minimum number of iterations to do
miniter - Variable in class elki.clustering.kmeans.FuzzyCMeans.Par
Minimum number of iterations.
miniter - Variable in class elki.outlier.clustering.EMOutlier
Minimum number of iterations to do
miniter - Variable in class elki.outlier.clustering.EMOutlier.Par
Minimum number of iterations.
MINITER_ID - Static variable in class elki.clustering.em.EM.Par
Parameter to specify a minimum number of iterations.
MINITER_ID - Static variable in class elki.clustering.em.KDTreeEM.Par
Parameter to specify a minimum number of iterations
MINITER_ID - Static variable in class elki.clustering.kmeans.FuzzyCMeans.Par
Parameter to specify a minimum number of iterations
minlength - Variable in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm
Parameter for minimum and maximum length.
minlength - Variable in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm.Par
Parameter for minimum and maximum length.
MINLENGTH_ID - Static variable in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm.Par
Parameter to specify the minimum itemset length.
minmax - Variable in class elki.algorithm.statistics.AddSingleScale
Minimum and maximum to use.
minmax - Variable in class elki.algorithm.statistics.AddSingleScale.Par
Minimum and maximum to use.
minmax - Variable in class elki.parallel.processor.DoubleMinMaxProcessor.Instance
The central data store.
minmax - Variable in class elki.parallel.processor.DoubleMinMaxProcessor
The central data store.
MINMAX - elki.datasource.filter.transform.PerturbationFilter.ScalingReference
 
MINMAX_ID - Static variable in class elki.algorithm.statistics.AddSingleScale.Par
Minimum and maximum values.
minmaxRange(int, Relation<? extends NumberVector>, DBIDArrayIter, int, int) - Static method in class elki.index.tree.spatial.kd.split.SplitStrategy.Util
Find the minimum and maximum in each dimension of a range of values.
minmaxX - Variable in class elki.math.geometry.GrahamScanConvexHull2D
Min/Max in X
minmaxY - Variable in class elki.math.geometry.GrahamScanConvexHull2D
Min/Max in Y
minmeasure - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration
Parameter for minimum interestingness measure.
minmeasure - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par
Parameter for minimum interestingness measure.
MINMEASURE_ID - Static variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par
Parameter to specify the minimum threshold for the interestingness measure.
minNMI() - Method in class elki.evaluation.clustering.Entropy
Get the min-normalized mutual information.
minpts - Variable in class elki.clustering.correlation.COPAC.Settings
MinPts parameter.
minpts - Variable in class elki.clustering.correlation.ERiC.Settings
Minimum neighborhood size (density).
minpts - Variable in class elki.clustering.correlation.FourC.Settings
MinPts / mu parameter.
minpts - Variable in class elki.clustering.dbscan.DBSCAN
Holds the minimum cluster size.
minpts - Variable in class elki.clustering.dbscan.DBSCAN.Par
Holds the minimum cluster size.
minpts - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance
Holds the minimum cluster size.
minpts - Variable in class elki.clustering.dbscan.GriDBSCAN
Holds the minimum cluster size.
minpts - Variable in class elki.clustering.dbscan.predicates.MinPtsCorePredicate.Instance
The minpts parameter.
minpts - Variable in class elki.clustering.dbscan.predicates.MinPtsCorePredicate
The minpts parameter.
minpts - Variable in class elki.clustering.dbscan.predicates.MinPtsCorePredicate.Par
Minpts value
minpts - Variable in class elki.clustering.optics.AbstractOPTICS
The density threshold, in number of points.
minpts - Variable in class elki.clustering.optics.DeLiClu
Density threshold in number of objects.
minpts - Variable in class elki.clustering.optics.DeLiClu.Par
Minimum number of points.
minpts - Variable in class elki.clustering.SNNClustering
Minimum number of clusters for connectedness.
minpts - Variable in class elki.clustering.subspace.DiSH
OPTICS minPts parameter.
minpts - Variable in class elki.clustering.subspace.DiSH.Par
Threshold for minimum number of points in the neighborhood.
minpts - Variable in class elki.clustering.subspace.PreDeCon.Settings
DBSCAN Minpts parameter, aka "mu".
minpts - Variable in class elki.clustering.subspace.SUBCLU
Minimum number of points.
minpts - Variable in class elki.clustering.subspace.SUBCLU.Par
Minimum number of points.
minpts - Variable in class elki.outlier.OPTICSOF
Parameter to specify the threshold MinPts.
minpts - Variable in class elki.outlier.OPTICSOF.Par
Parameter to specify the threshold MinPts.
minPts - Variable in class elki.clustering.correlation.cash.CASHIntervalSplit
Minimum points.
minPts - Variable in class elki.clustering.correlation.CASH
Threshold for minimum number of points in a cluster
minPts - Variable in class elki.clustering.correlation.CASH.Par
Threshold for minimum number of points in a cluster
minPts - Variable in class elki.clustering.hierarchical.AbstractHDBSCAN
MinPts parameter.
minPts - Variable in class elki.clustering.optics.FastOPTICS
MinPts parameter.
minPts - Variable in class elki.clustering.uncertain.FDBSCAN.Par
MinPts of DBSCAN.
MINPTS_ID - Static variable in class elki.clustering.correlation.CASH.Par
Parameter to specify the threshold for minimum number of points in a cluster, must be an integer greater than 0.
MINPTS_ID - Static variable in class elki.clustering.dbscan.DBSCAN.Par
Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
MINPTS_ID - Static variable in class elki.clustering.optics.DeLiClu.Par
Parameter to specify the threshold for minimum number of points within a cluster, must be an integer greater than 0.
MINPTS_ID - Static variable in class elki.clustering.subspace.DiSH.Par
Positive threshold for minimum numbers of points in the epsilon-neighborhood of a points.
MINPTS_ID - Static variable in class elki.clustering.subspace.SUBCLU.Par
Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
MinPtsCorePredicate - Class in elki.clustering.dbscan.predicates
The DBSCAN default core point predicate -- having at least MinPtsCorePredicate.minpts neighbors.
MinPtsCorePredicate(int) - Constructor for class elki.clustering.dbscan.predicates.MinPtsCorePredicate
Default constructor.
MinPtsCorePredicate.Instance - Class in elki.clustering.dbscan.predicates
Instance for a particular data set.
MinPtsCorePredicate.Par - Class in elki.clustering.dbscan.predicates
Parameterization class
minQuant - Variable in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier
Minimum and maximum number of samples.
minQuant - Variable in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Par
Minimum and maximum number of samples.
minr - Variable in class elki.utilities.datastructures.KuhnMunkres
Position of uncovered minimum row
minRegLevel(int, int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures
minReg function calculate the minimal r-region level containing two points
minsigma - Variable in class elki.timeseries.SigniTrendChangeDetection
Minimum sigma to report.
minsigma - Variable in class elki.timeseries.SigniTrendChangeDetection.Par
Minimum sigma to report.
MINSIGMA_ID - Static variable in class elki.timeseries.SigniTrendChangeDetection.Par
Sigma reporting threshold.
minsize - Variable in class elki.clustering.correlation.LMCLUS
Minimum cluster size
minsize - Variable in class elki.clustering.correlation.LMCLUS.Par
Minimum cluster size.
MINSIZE_ID - Static variable in class elki.clustering.correlation.LMCLUS.Par
Parameter for the minimum cluster size
minSorting - Variable in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
The entries sorted according to their min values of their MBRs.
minSplit - Variable in class elki.outlier.density.HySortOD.TreeStrategy
Minimum number of rows to allow sub-mapping.
minSplitSize - Variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities
minimum size for which a point set is further partitioned (roughly corresponds to minPts in OPTICS)
minsupp - Variable in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm
Minimum support.
minsupp - Variable in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm.Par
Parameter for minimum support.
MINSUPP_ID - Static variable in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm.Par
Parameter to specify the minimum support, in absolute or relative terms.
minus(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath
Component-wise matrix subtraction m3 = m1 - m2.
minus(double[], double) - Static method in class elki.math.linearalgebra.VMath
Subtract component-wise v1 - s1.
minus(double[], double[]) - Static method in class elki.math.linearalgebra.VMath
Computes component-wise v1 - v2.
minusEquals(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath
Component-wise matrix subtraction: m1 = m1 - m2, overwriting the existing matrix m1.
minusEquals(double[], double) - Static method in class elki.math.linearalgebra.VMath
Subtract component-wise in-place v1 = v1 - s1, overwriting the vector v1.
minusEquals(double[], double[]) - Static method in class elki.math.linearalgebra.VMath
Computes component-wise v1 = v1 - v2, overwriting the vector v1.
minusEquals(double[], NumberVector) - Static method in class elki.clustering.kmeans.AbstractKMeans
Similar to VMath.minusEquals, but accepts a number vector.
MinusLogGammaScaling - Class in elki.utilities.scaling.outlier
Scaling that can map arbitrary values to a probability in the range of [0:1], by assuming a Gamma distribution on the data and evaluating the Gamma CDF.
MinusLogGammaScaling() - Constructor for class elki.utilities.scaling.outlier.MinusLogGammaScaling
Constructor.
MinusLogGammaScaling.Par - Class in elki.utilities.scaling.outlier
Parameterization class.
MinusLogScaling - Class in elki.utilities.scaling
Scaling function to invert values by computing -1 * Math.log(x)
MinusLogScaling() - Constructor for class elki.utilities.scaling.MinusLogScaling
 
MinusLogStandardDeviationScaling - Class in elki.utilities.scaling.outlier
Scaling that can map arbitrary values to a probability in the range of [0:1].
MinusLogStandardDeviationScaling(double, double) - Constructor for class elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling
Constructor.
MinusLogStandardDeviationScaling.Par - Class in elki.utilities.scaling.outlier
Parameterization class.
minusTimes(double[][], double[][], double) - Static method in class elki.math.linearalgebra.VMath
Component-wise matrix operation: m3 = m1 - m2 * s2
minusTimes(double[], double[], double) - Static method in class elki.math.linearalgebra.VMath
Computes component-wise v1 - v2 * s2.
minusTimesEquals(double[][], double[][], double) - Static method in class elki.math.linearalgebra.VMath
Component-wise matrix operation: m1 = m1 - m2 * s2, overwriting the existing matrix m1.
minusTimesEquals(double[], double[], double) - Static method in class elki.math.linearalgebra.VMath
Computes component-wise v1 = v1 - v2 * s2, overwriting the vector v1.
minValues - Variable in class elki.math.spacefillingcurves.ZCurveTransformer
Minimum values in each dimension.
minViolating(int[], double) - Method in class elki.svm.solver.Solver
 
minvote - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment
Minimum votes.
minwindow - Variable in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering
Window width, for local minima criterions.
minwindow - Variable in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Par
Window width, for local minima criterions.
minx - Variable in class elki.math.geometry.XYCurve
Minimum and maximum for X axis
minx - Variable in class elki.math.geometry.XYPlot
Minimum and maximum for X axis
minx - Variable in class elki.visualization.projections.CanvasSize
Minimum X
miny - Variable in class elki.math.geometry.XYCurve
Minimum and maximum for Y axis
miny - Variable in class elki.math.geometry.XYPlot
Minimum and maximum for Y axis
miny - Variable in class elki.visualization.projections.CanvasSize
Minimum Y
mipmaps - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Settings
Number of additional mipmaps to generate.
mirkin() - Method in class elki.evaluation.clustering.PairCounting
Computes the Mirkin index, aka Equivalence Mismatch Distance.
MissingPrerequisitesException - Exception in elki.utilities.exceptions
Exception thrown when prerequisites are not satisfied.
MissingPrerequisitesException(String) - Constructor for exception elki.utilities.exceptions.MissingPrerequisitesException
Constructor.
MissingPrerequisitesException(String, Throwable) - Constructor for exception elki.utilities.exceptions.MissingPrerequisitesException
Constructor.
miter - Variable in class elki.clustering.kmedoids.CLARANS.Assignment
Medoid iterator
MIter - Interface in elki.utilities.datastructures.iterator
Modifiable iterator, that also supports removal.
mixHashCodes(int...) - Static method in class elki.utilities.Util
Mix multiple hashcodes into one.
mixHashCodes(int, int) - Static method in class elki.utilities.Util
Mix multiple hashcodes into one.
mixHashCodes(int, int, int) - Static method in class elki.utilities.Util
Mix multiple hashcodes into one.
mixMagic(int, int) - Static method in class elki.persistent.OnDiskArray
Mix two magic numbers into one, to obtain a combined magic.
MixtureModelOutlierScaling - Class in elki.utilities.scaling.outlier
Tries to fit a mixture model (exponential for inliers and gaussian for outliers) to the outlier score distribution.
MixtureModelOutlierScaling() - Constructor for class elki.utilities.scaling.outlier.MixtureModelOutlierScaling
 
mj - Variable in class elki.clustering.hierarchical.MedoidLinkage.Instance
Iterators into medoid array.
MKAPPA - Static variable in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
Minus Kappa constant.
MkAppDirectoryEntry - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkapp
Represents an entry in a directory node of a MkApp-Tree.
MkAppDirectoryEntry() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry
Empty constructor for serialization purposes.
MkAppDirectoryEntry(DBID, double, int, double, PolynomialApproximation) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry
Constructor.
MkAppEntry - Interface in elki.index.tree.metrical.mtreevariants.mktrees.mkapp
Defines the requirements for an entry in an MkCop-Tree node.
MkAppLeafEntry - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkapp
Represents an entry in a leaf node of a MkApp-Tree.
MkAppLeafEntry() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry
Empty constructor for serialization purposes.
MkAppLeafEntry(DBID, double, PolynomialApproximation) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry
Constructor.
MkAppTree<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkapp
MkAppTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
MkAppTree(Relation<O>, PageFile<MkAppTreeNode<O>>, MkAppTreeSettings<O>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
Constructor.
MkAppTreeFactory<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkapp
Factory for a MkApp-Tree
MkAppTreeFactory(PageFileFactory<?>, MkAppTreeSettings<O>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory
Constructor.
MkAppTreeIndex<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkapp
MkAppTree used as database index.
MkAppTreeIndex(Relation<O>, PageFile<MkAppTreeNode<O>>, MkAppTreeSettings<O>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex
Constructor.
MkAppTreeNode<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkapp
Represents a node in an MkApp-Tree.
MkAppTreeNode() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
Empty constructor for Externalizable interface.
MkAppTreeNode(int, boolean) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
Creates a MkAppTreeNode object.
MkAppTreeSettings<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkapp
Settings class for the MkApp Tree.
MkAppTreeSettings() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeSettings
 
MkCoPDirectoryEntry - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkcop
Represents an entry in a directory node of an MkCop-Tree.
MkCoPDirectoryEntry() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry
Empty constructor for serialization purposes.
MkCoPDirectoryEntry(DBID, double, int, double, ApproximationLine) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry
Constructor.
MkCoPEntry - Interface in elki.index.tree.metrical.mtreevariants.mktrees.mkcop
Defines the requirements for an entry in an MkCop-Tree node.
MkCoPLeafEntry - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkcop
Represents an entry in a leaf node of a MkCoP-Tree.
MkCoPLeafEntry() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
Empty constructor for serialization purposes.
MkCoPLeafEntry(DBID, double, ApproximationLine, ApproximationLine) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
Constructor.
MkCoPTree<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkcop
MkCopTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
MkCoPTree(Relation<O>, PageFile<MkCoPTreeNode<O>>, MkTreeSettings<O, MkCoPTreeNode<O>, MkCoPEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Constructor.
MkCopTreeFactory<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkcop
Factory for a MkCoPTree-Tree
MkCopTreeFactory(PageFileFactory<?>, MkTreeSettings<O, MkCoPTreeNode<O>, MkCoPEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory
Constructor.
MkCoPTreeIndex<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkcop
MkCoPTree used as database index.
MkCoPTreeIndex(Relation<O>, PageFile<MkCoPTreeNode<O>>, MkTreeSettings<O, MkCoPTreeNode<O>, MkCoPEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex
Constructor.
MkCoPTreeNode<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkcop
Represents a node in an MkCop-Tree.
MkCoPTreeNode() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
Empty constructor for Externalizable interface.
MkCoPTreeNode(int, boolean) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
Creates a MkCoPTreeNode object.
MkMaxDirectoryEntry - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkmax
Represents an entry in a directory node of an MkMaxTree.
MkMaxDirectoryEntry() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry
Empty constructor for serialization purposes.
MkMaxDirectoryEntry(DBID, double, int, double, double) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry
Constructor.
MkMaxEntry - Interface in elki.index.tree.metrical.mtreevariants.mktrees.mkmax
Defines the requirements for an entry in an MkMaxTreeNode .
MkMaxLeafEntry - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkmax
Represents an entry in a leaf node of an MkMaxTree.
MkMaxLeafEntry() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry
Empty constructor for serialization purposes.
MkMaxLeafEntry(DBID, double, double) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry
Constructor.
MkMaxTree<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkmax
MkMaxTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k <= k_max.
MkMaxTree(Relation<O>, PageFile<MkMaxTreeNode<O>>, MkTreeSettings<O, MkMaxTreeNode<O>, MkMaxEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
Constructor.
MkMaxTreeFactory<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkmax
Factory for MkMaxTrees
MkMaxTreeFactory(PageFileFactory<?>, MkTreeSettings<O, MkMaxTreeNode<O>, MkMaxEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeFactory
Constructor.
MkMaxTreeIndex<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkmax
MkMax tree
MkMaxTreeIndex(Relation<O>, PageFile<MkMaxTreeNode<O>>, MkTreeSettings<O, MkMaxTreeNode<O>, MkMaxEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
Constructor.
MkMaxTreeNode<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mkmax
Represents a node in an MkMaxTree.
MkMaxTreeNode() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode
Empty constructor for Externalizable interface.
MkMaxTreeNode(int, boolean) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode
Creates a new MkMaxTreeNode object.
MkTabDirectoryEntry - Class in elki.index.tree.metrical.mtreevariants.mktrees.mktab
Represents an entry in a directory node of a MkTab-Tree.
MkTabDirectoryEntry() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry
Empty constructor for serialization purposes.
MkTabDirectoryEntry(DBID, double, int, double, double[]) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry
Constructor.
MkTabEntry - Interface in elki.index.tree.metrical.mtreevariants.mktrees.mktab
Defines the requirements for an entry in an MkCop-Tree node.
MkTabLeafEntry - Class in elki.index.tree.metrical.mtreevariants.mktrees.mktab
Represents an entry in a leaf node of a MkTab-Tree.
MkTabLeafEntry() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry
Empty constructor for serialization purposes.
MkTabLeafEntry(DBID, double, double[]) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry
Constructor.
MkTabTree<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mktab
MkTabTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
MkTabTree(Relation<O>, PageFile<MkTabTreeNode<O>>, MkTreeSettings<O, MkTabTreeNode<O>, MkTabEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
Constructor.
MkTabTreeFactory<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mktab
Factory for MkTabTrees
MkTabTreeFactory(PageFileFactory<?>, MkTreeSettings<O, MkTabTreeNode<O>, MkTabEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory
Constructor.
MkTabTreeFactory.Par<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mktab
Parameterization class.
MkTabTreeIndex<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mktab
MkTabTree used as database index.
MkTabTreeIndex(Relation<O>, PageFile<MkTabTreeNode<O>>, MkTreeSettings<O, MkTabTreeNode<O>, MkTabEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex
Constructor.
MkTabTreeNode<O> - Class in elki.index.tree.metrical.mtreevariants.mktrees.mktab
Represents a node in a MkMax-Tree.
MkTabTreeNode() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode
Empty constructor for Externalizable interface.
MkTabTreeNode(int, boolean) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode
Creates a MkTabTreeNode object.
MkTreeHeader - Class in elki.index.tree.metrical.mtreevariants.mktrees
Encapsulates the header information for subclasses of AbstractMkTreeUnified.
MkTreeHeader() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader
Empty constructor for serialization.
MkTreeHeader(int, int, int, int) - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader
Creates a nerw header with the specified parameters.
MkTreeRKNNQuery<O> - Class in elki.index.tree.metrical.mtreevariants.query
Instance of a rKNN query for a particular spatial index.
MkTreeRKNNQuery(AbstractMkTree<O, ?, ?, ?>, DistanceQuery<O>) - Constructor for class elki.index.tree.metrical.mtreevariants.query.MkTreeRKNNQuery
Constructor.
MkTreeSettings<O,​N extends AbstractMTreeNode<O,​N,​E>,​E extends MTreeEntry> - Class in elki.index.tree.metrical.mtreevariants.mktrees
Class with settings for MkTrees.
MkTreeSettings() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.MkTreeSettings
 
MLBDistSplit<E extends MTreeEntry,​N extends AbstractMTreeNode<?,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants.strategies.split
Encapsulates the required methods for a split of a node in an M-Tree.
MLBDistSplit(DistributionStrategy) - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.MLBDistSplit
Constructor.
mlogmax - Variable in class elki.utilities.scaling.outlier.MinusLogGammaScaling
Minimum value (after log step, so maximum again)
mlogmax - Variable in class elki.utilities.scaling.outlier.OutlierMinusLogScaling
mmacc - Variable in class elki.evaluation.clustering.ClusterContingencyTable
Maximum Matching Accuracy
MMRadSplit<E extends MTreeEntry,​N extends AbstractMTreeNode<?,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants.strategies.split
Encapsulates the required methods for a split of a node in an M-Tree.
MMRadSplit(DistributionStrategy) - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.MMRadSplit
Constructor.
mod - Variable in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter
Modulo value for splitting.
modCount - Variable in class elki.utilities.datastructures.heap.Heap
(Structural) modification counter.
mode - Variable in class elki.application.experiments.VisualizeGeodesicDistances
Visualization mode.
mode - Variable in class elki.application.experiments.VisualizeGeodesicDistances.Par
Visualization mode.
mode - Variable in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering
Estimation modes.
mode - Variable in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Par
Estimation modes.
mode - Variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
Mode.
mode - Variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Par
Mode.
mode - Variable in class elki.gui.util.ParameterTable.FileNameEditor
File selector mode.
mode - Variable in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization
Visualization mode.
mode - Variable in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Par
Drawing mode.
Mode() - Constructor for enum elki.application.experiments.VisualizeGeodesicDistances.Mode
 
Mode() - Constructor for enum elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Mode
 
Mode() - Constructor for enum elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Mode
 
Mode() - Constructor for enum elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Mode
 
Mode() - Constructor for enum elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Mode
 
Mode() - Constructor for enum elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Mode
 
Mode() - Constructor for enum elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Mode
 
Mode() - Constructor for enum elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Mode
 
Mode() - Constructor for enum elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Mode
 
MODE_ID - Static variable in class elki.application.experiments.VisualizeGeodesicDistances.Par
Visualization mode.
MODE_ID - Static variable in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Par
KDE mode.
MODE_ID - Static variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Par
Mode control.
MODE_ID - Static variable in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Par
Mode for drawing: Voronoi, Delaunay, both.
model - Variable in class elki.application.experiments.VisualizeGeodesicDistances
Earth model.
model - Variable in class elki.application.experiments.VisualizeGeodesicDistances.Par
Earth model to use.
model - Variable in class elki.data.Cluster
Cluster model.
model - Variable in class elki.data.projection.LatLngToECEFProjection
Earth model to use.
model - Variable in class elki.data.projection.LngLatToECEFProjection
Earth model to use
model - Variable in class elki.datasource.filter.transform.LatLngToECEFFilter
Earth model to use.
model - Variable in class elki.datasource.filter.transform.LngLatToECEFFilter
Earth model to use.
model - Variable in class elki.distance.geo.DimensionSelectingLatLngDistance
Earth model used.
model - Variable in class elki.distance.geo.DimensionSelectingLatLngDistance.Par
Earth model used.
model - Variable in class elki.distance.geo.LatLngDistance
Earth model to use.
model - Variable in class elki.distance.geo.LatLngDistance.Par
Earth model used.
model - Variable in class elki.distance.geo.LngLatDistance
Earth model to use.
model - Variable in class elki.distance.geo.LngLatDistance.Par
Earth model used.
model - Variable in class elki.gui.util.ParameterTable.ClassListEditor
Tree model
model - Variable in class elki.gui.util.TreePopup
Tree model.
model() - Method in interface elki.classification.Classifier
Produce a String representation of the classification model.
model() - Method in class elki.classification.KNNClassifier
 
model() - Method in class elki.classification.PriorProbabilityClassifier
 
Model - Class in elki.svm.model
 
Model - Interface in elki.data.model
Base interface for Model classes.
Model() - Constructor for class elki.svm.model.Model
 
MODEL_ID - Static variable in class elki.clustering.em.EM.Par
Parameter to specify the EM cluster models to use.
MODEL_ID - Static variable in interface elki.math.geodesy.EarthModel
Parameter to choose the earth model to use.
modelHeight - Variable in class elki.visualization.savedialog.SaveOptionsPanel
 
modelQual - Variable in class elki.visualization.savedialog.SaveOptionsPanel
 
models - Variable in class elki.clustering.em.KDTreeEM
Current clusters.
models - Variable in class elki.outlier.COP
Include models in output.
models - Variable in class elki.outlier.COP.Par
Include COP models
models - Variable in class elki.outlier.subspace.SOD
Report models.
models - Variable in class elki.outlier.subspace.SOD.Par
Track models.
MODELS_ID - Static variable in class elki.outlier.COP.Par
Include COP error vectors in output.
MODELS_ID - Static variable in class elki.outlier.subspace.SOD.Par
Parameter for keeping the models.
ModelUtil - Class in elki.data.model
Utility classes for dealing with cluster models.
ModelUtil() - Constructor for class elki.data.model.ModelUtil
Private constructor.
modelview - Variable in class elki.visualization.parallel3d.util.Simple1DOFCamera
GLU model view matrix
modelWidth - Variable in class elki.visualization.savedialog.SaveOptionsPanel
 
ModifiableDBIDs - Interface in elki.database.ids
Interface for a generic modifiable DBID collection.
ModifiableDoubleDBIDList - Interface in elki.database.ids
Modifiable API for Distance-DBID results
ModifiableHierarchy<O> - Interface in elki.utilities.datastructures.hierarchy
Modifiable Hierarchy.
ModifiableHyperBoundingBox - Class in elki.data
MBR class allowing modifications (as opposed to HyperBoundingBox).
ModifiableHyperBoundingBox() - Constructor for class elki.data.ModifiableHyperBoundingBox
Constructor.
ModifiableHyperBoundingBox(double[], double[]) - Constructor for class elki.data.ModifiableHyperBoundingBox
Creates a ModifiableHyperBoundingBox for the given hyper points.
ModifiableHyperBoundingBox(int, double, double) - Constructor for class elki.data.ModifiableHyperBoundingBox
Create a ModifiableHyperBoundingBox with given min and max.
ModifiableHyperBoundingBox(SpatialComparable) - Constructor for class elki.data.ModifiableHyperBoundingBox
Derive a bounding box from a spatial object.
ModifiableRelation<O> - Interface in elki.database.relation
Relations that allow modification.
modifyQP(double[], int, double, double) - Static method in class elki.math.linearalgebra.EigenvalueDecomposition
 
modifyQR(double[], int, boolean, double, double, double, double, double) - Static method in class elki.math.linearalgebra.EigenvalueDecomposition
 
MOMDistributionEstimator<D extends Distribution> - Interface in elki.math.statistics.distribution.estimator
Distribution estimators that use the method of moments (MOM), i.e. that only need the statistical moments of a data set.
momentumSwitch - Variable in class elki.projection.SNE
Iteration when to switch momentum.
momentumSwitch - Variable in class elki.projection.TSNE
Iteration when to switch momentum.
MOMEstimator - Class in elki.math.statistics.intrinsicdimensionality
Methods of moments estimator, using the first moment (i.e. average).
MOMEstimator() - Constructor for class elki.math.statistics.intrinsicdimensionality.MOMEstimator
 
MOMEstimator.Par - Class in elki.math.statistics.intrinsicdimensionality
Parameterization class.
momests - Variable in class elki.math.statistics.distribution.estimator.meta.BestFitEstimator
Mean and variance based estimators.
MONE - Static variable in class elki.svm.AbstractSingleSVM
 
mouseClicked(MouseEvent) - Method in class elki.gui.util.TreePopup.Handler
 
mouseClicked(MouseEvent) - Method in class elki.visualization.parallel3d.util.SimpleMenuOverlay
 
mouseDragged(MouseEvent) - Method in class elki.visualization.parallel3d.util.Arcball1DOFAdapter
 
mouseEntered(MouseEvent) - Method in class elki.gui.util.TreePopup.Handler
 
mouseEntered(MouseEvent) - Method in class elki.visualization.parallel3d.util.SimpleMenuOverlay
 
mouseExited(MouseEvent) - Method in class elki.gui.util.TreePopup.Handler
 
mouseExited(MouseEvent) - Method in class elki.visualization.parallel3d.util.SimpleMenuOverlay
 
mousePressed(MouseEvent) - Method in class elki.gui.util.TreePopup.Handler
 
mousePressed(MouseEvent) - Method in class elki.visualization.parallel3d.util.Arcball1DOFAdapter
 
mousePressed(MouseEvent) - Method in class elki.visualization.parallel3d.util.SimpleMenuOverlay
 
mouseReleased(MouseEvent) - Method in class elki.gui.util.TreePopup.Handler
 
mouseReleased(MouseEvent) - Method in class elki.visualization.parallel3d.util.SimpleMenuOverlay
 
mouseWheelMoved(MouseWheelEvent) - Method in class elki.visualization.parallel3d.util.Arcball1DOFAdapter
 
moveAxis(int, int) - Method in interface elki.visualization.projections.ProjectionParallel
shift a dimension to another position
moveAxis(int, int) - Method in class elki.visualization.projections.SimpleParallel
 
movedDistance(double[][], double[][], double[]) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance
Maximum distance moved.
movedSimilarity(double[][], double[][], double[]) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
Similarity to previous locations.
MoveObjectsToolVisualization - Class in elki.visualization.visualizers.scatterplot.selection
Tool to move the currently selected objects.
MoveObjectsToolVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization
Constructor
MoveObjectsToolVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.selection
Instance.
moveTo(double[]) - Method in class elki.visualization.svg.SVGPath
Move to the given coordinates.
moveTo(double, double) - Method in class elki.visualization.svg.SVGPath
Move to the given coordinates.
MRadSplit<E extends MTreeEntry,​N extends AbstractMTreeNode<?,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants.strategies.split
Encapsulates the required methods for a split of a node in an M-Tree.
MRadSplit(DistributionStrategy) - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.MRadSplit
Constructor.
msgformat - Variable in class elki.gui.util.LogPane
Formatter for regular messages (informational records)
msgformat - Variable in class elki.logging.CLISmartHandler
Formatter for regular messages (informational records)
msgStyle - Variable in class elki.gui.util.LogPane
Regular message style
MStepLevenbergMarquardt(double, double, long[], A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.SigmoidOutlierScaling
M-Step using a modified Levenberg-Marquardt method.
MStepLevenbergMarquardt(double, double, ArrayDBIDs, long[], DoubleRelation) - Method in class elki.utilities.scaling.outlier.SigmoidOutlierScaling
M-Step using a modified Levenberg-Marquardt method.
mstPartition(double[][]) - Static method in class elki.index.tree.metrical.mtreevariants.strategies.split.MSTSplit
Partition the data using the minimum spanning tree.
MSTSplit<E extends MTreeEntry,​N extends AbstractMTreeNode<?,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants.strategies.split
Splitting algorithm using the minimum spanning tree (MST), as proposed by the Slim-Tree variant.
MSTSplit() - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.MSTSplit
 
mtag - Variable in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
Element for the marker
mtag - Variable in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance
Element for the marker
mtag - Variable in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization.Instance
Element for the marker
MTree<O> - Class in elki.index.tree.metrical.mtreevariants.mtree
MTree is a metrical index structure based on the concepts of the M-Tree.
MTree(PageFile<MTreeNode<O>>, MTreeSettings<O, MTreeNode<O>, MTreeEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mtree.MTree
Constructor.
MTreeDirectoryEntry - Class in elki.index.tree.metrical.mtreevariants
Represents an entry in a directory node of an M-Tree.
MTreeDirectoryEntry() - Constructor for class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry
Empty constructor for serialization purposes.
MTreeDirectoryEntry(DBID, double, int, double) - Constructor for class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry
Constructor.
MTreeEntry - Interface in elki.index.tree.metrical.mtreevariants
Defines the requirements for an entry in an M-Tree node.
MTreeFactory<O> - Class in elki.index.tree.metrical.mtreevariants.mtree
Factory for a M-Tree
MTreeFactory(PageFileFactory<?>, MTreeSettings<O, MTreeNode<O>, MTreeEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mtree.MTreeFactory
Constructor.
MTreeIndex<O> - Class in elki.index.tree.metrical.mtreevariants.mtree
Class for using an m-tree as database index.
MTreeIndex(Relation<O>, PageFile<MTreeNode<O>>, MTreeSettings<O, MTreeNode<O>, MTreeEntry>) - Constructor for class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
Constructor.
MTreeInsert<E extends MTreeEntry,​N extends AbstractMTreeNode<?,​N,​E>> - Interface in elki.index.tree.metrical.mtreevariants.strategies.insert
Default insertion strategy for the M-tree.
MTreeKNNByDBID<O> - Class in elki.index.tree.metrical.mtreevariants.query
Instance of a KNN query for a particular spatial index.
MTreeKNNByDBID(AbstractMTree<O, ?, ?, ?>, DistanceQuery<O>) - Constructor for class elki.index.tree.metrical.mtreevariants.query.MTreeKNNByDBID
Constructor.
MTreeKNNByObject<O> - Class in elki.index.tree.metrical.mtreevariants.query
Instance of a KNN query for a particular spatial index.
MTreeKNNByObject(AbstractMTree<O, ?, ?, ?>, DistanceQuery<O>) - Constructor for class elki.index.tree.metrical.mtreevariants.query.MTreeKNNByObject
Constructor.
MTreeLeafEntry - Class in elki.index.tree.metrical.mtreevariants
Represents an entry in a leaf node of an M-Tree.
MTreeLeafEntry() - Constructor for class elki.index.tree.metrical.mtreevariants.MTreeLeafEntry
Empty constructor for serialization purposes.
MTreeLeafEntry(DBID, double) - Constructor for class elki.index.tree.metrical.mtreevariants.MTreeLeafEntry
Constructor.
MTreeNode<O> - Class in elki.index.tree.metrical.mtreevariants.mtree
Represents a node in an M-Tree.
MTreeNode() - Constructor for class elki.index.tree.metrical.mtreevariants.mtree.MTreeNode
Empty constructor for Externalizable interface.
MTreeNode(int, boolean) - Constructor for class elki.index.tree.metrical.mtreevariants.mtree.MTreeNode
Creates a new MTreeNode with the specified parameters.
MTreeRangeByDBID<O> - Class in elki.index.tree.metrical.mtreevariants.query
Instance of a range query for a particular spatial index.
MTreeRangeByDBID(AbstractMTree<O, ?, ?, ?>, DistanceQuery<O>) - Constructor for class elki.index.tree.metrical.mtreevariants.query.MTreeRangeByDBID
Constructor.
MTreeRangeByObject<O> - Class in elki.index.tree.metrical.mtreevariants.query
Instance of a range query for a particular spatial index.
MTreeRangeByObject(AbstractMTree<O, ?, ?, ?>, DistanceQuery<O>) - Constructor for class elki.index.tree.metrical.mtreevariants.query.MTreeRangeByObject
Constructor.
MTreeSearchCandidate - Class in elki.index.tree.metrical.mtreevariants.query
Encapsulates the attributes for a object that can be stored in a heap.
MTreeSearchCandidate(double, int, DBID, double) - Constructor for class elki.index.tree.metrical.mtreevariants.query.MTreeSearchCandidate
Creates a new heap node with the specified parameters.
MTreeSettings<O,​N extends AbstractMTreeNode<O,​N,​E>,​E extends MTreeEntry> - Class in elki.index.tree.metrical.mtreevariants
Class to store the MTree settings.
MTreeSettings() - Constructor for class elki.index.tree.metrical.mtreevariants.MTreeSettings
 
MTreeSplit<E extends MTreeEntry,​N extends AbstractMTreeNode<?,​N,​E>> - Interface in elki.index.tree.metrical.mtreevariants.strategies.split
Interface for M-tree splitting strategies.
mu - Variable in class elki.clustering.correlation.HiCO
Mu parameter.
mu - Variable in class elki.clustering.correlation.HiCO.Par
Mu parameter
mu - Variable in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
Parameters (location, scale, shape)
mu - Variable in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution.Par
Parameters.
mu - Variable in class elki.math.statistics.distribution.GeneralizedParetoDistribution
Parameters (location, scale, shape)
mu - Variable in class elki.math.statistics.distribution.GeneralizedParetoDistribution.Par
Parameters.
mu - Variable in class elki.math.statistics.distribution.GumbelDistribution
Mode parameter mu.
mu - Variable in class elki.math.statistics.distribution.NormalDistribution.Par
Parameters.
mu - Variable in class elki.math.statistics.distribution.RayleighDistribution
Location parameter.
mu - Variable in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling
Parameter mu of the gaussian distribution (outliers)
MU_ID - Static variable in class elki.clustering.correlation.HiCO.Par
Parameter to specify the smoothing factor, must be an integer greater than 0.
MU_ID - Static variable in class elki.clustering.subspace.DiSH.Par
Parameter that specifies the a minimum number of points as a smoothing factor to avoid the single-link-effect, must be an integer greater than 0.
MULT_MAX_ID - Static variable in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Par
Maximum quantity of generated samples.
MULT_MIN_ID - Static variable in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Par
Minimum quantity of generated samples.
MultiBorder - Class in elki.clustering.dbscan.util
Multiple border point assignment.
MultiBorder(Border, Border) - Constructor for class elki.clustering.dbscan.util.MultiBorder
Constructor.
multiclass_probability(int, double[][], double[]) - Static method in class elki.svm.model.ProbabilisticClassificationModel
 
MultidimensionalScalingMSTLayout3DPC - Class in elki.visualization.parallel3d.layout
Layout the axes by multi-dimensional scaling.
MultidimensionalScalingMSTLayout3DPC(Dependence) - Constructor for class elki.visualization.parallel3d.layout.MultidimensionalScalingMSTLayout3DPC
Constructor.
MultidimensionalScalingMSTLayout3DPC.Node - Class in elki.visualization.parallel3d.layout
Node class for this layout.
MultidimensionalScalingMSTLayout3DPC.Par - Class in elki.visualization.parallel3d.layout
Parameteriation class.
MultiLPNorm - Class in tutorial.distancefunction
Tutorial example Minowski-distance variation with different exponents for different dimensions for ELKI.
MultiLPNorm(double[]) - Constructor for class tutorial.distancefunction.MultiLPNorm
Constructor.
MultiLPNorm.Par - Class in tutorial.distancefunction
Parameterization class example
multiple - Variable in class elki.clustering.trivial.ByLabelClustering
Allow multiple cluster assignment.
multiple - Variable in class elki.clustering.trivial.ByLabelClustering.Par
Allow multiple cluster assignment.
MULTIPLE_ID - Static variable in class elki.clustering.trivial.ByLabelClustering.Par
Flag to indicate that multiple cluster assignment is possible.
multipleAssignment(Relation<?>) - Method in class elki.clustering.trivial.ByLabelClustering
Assigns the objects of the database to multiple clusters according to their labels.
multipleChangepointsWithConfidence(int, int) - Method in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance
Performs multiple change point detection for a given time series.
MultipleFilesOutput - Class in elki.result.textwriter
Manage output to multiple files.
MultipleFilesOutput(Path) - Constructor for class elki.result.textwriter.MultipleFilesOutput
Constructor
MultipleFilesOutput(Path, boolean) - Constructor for class elki.result.textwriter.MultipleFilesOutput
Constructor
MultipleLinearRegression - Class in elki.math.statistics
Multiple linear regression attempts to model the relationship between two or more explanatory variables and a response variable by fitting a linear equation to observed data.
MultipleLinearRegression(double[], double[][]) - Constructor for class elki.math.statistics.MultipleLinearRegression
Constructor.
multipleNodeDeletion(double[][], ChengAndChurch.BiclusterCandidate) - Method in class elki.clustering.biclustering.ChengAndChurch
Algorithm 2 of Cheng and Church.
MultipleObjectsBundle - Class in elki.datasource.bundle
This class represents a set of "packaged" objects, which is a transfer container for objects, e.g., from parsers to a database.
MultipleObjectsBundle() - Constructor for class elki.datasource.bundle.MultipleObjectsBundle
Constructor.
MultipleObjectsBundleDatabaseConnection - Class in elki.datasource
Data source to feed a precomputed MultipleObjectsBundle into a database.
MultipleObjectsBundleDatabaseConnection(MultipleObjectsBundle) - Constructor for class elki.datasource.MultipleObjectsBundleDatabaseConnection
Constructor.
MultipleProjectionsLocalitySensitiveHashFunction - Class in elki.index.lsh.hashfunctions
LSH hash function for vector space data.
MultipleProjectionsLocalitySensitiveHashFunction(RandomProjectionFamily.Projection, double, Random) - Constructor for class elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction
Constructor.
MultiplicativeInverseScaling - Class in elki.utilities.scaling.outlier
Scaling function to invert values by computing 1/x, but in a variation that maps the values to the [0:1] interval and avoiding division by 0.
MultiplicativeInverseScaling() - Constructor for class elki.utilities.scaling.outlier.MultiplicativeInverseScaling
Constructor.
multiplicity - Variable in class elki.data.type.MultivariateSeriesTypeInformation
Number of variates per dimension.
multiplicity - Variable in class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
Multiplicity of the vector.
multiplicity - Variable in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
Multiplicity of the vector.
multiplier - Static variable in class elki.utilities.random.FastNonThreadsafeRandom
 
multiply(double[][], double[], double[]) - Method in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform
Compute out = A * in, and return the (signed!)
MultiStepGUI - Class in elki.gui.multistep
Experimenter-style multi step GUI.
MultiStepGUI() - Constructor for class elki.gui.multistep.MultiStepGUI
Constructor
MULTIVARIATE_SERIES - Static variable in class elki.data.type.TypeUtil
Type request for multivariate time series.
MultivariateGaussianModel - Class in elki.clustering.em.models
Model for a single multivariate Gaussian cluster with arbitrary rotation.
MultivariateGaussianModel(double, double[]) - Constructor for class elki.clustering.em.models.MultivariateGaussianModel
Constructor.
MultivariateGaussianModel(double, double[], double[][]) - Constructor for class elki.clustering.em.models.MultivariateGaussianModel
Constructor.
MultivariateGaussianModelFactory - Class in elki.clustering.em.models
Factory for EM with multivariate Gaussian models (with covariance; also known as Gaussian Mixture Modeling, GMM).
MultivariateGaussianModelFactory(KMeansInitialization) - Constructor for class elki.clustering.em.models.MultivariateGaussianModelFactory
Constructor.
MultivariateSeriesTypeInformation<V extends FeatureVector<?>> - Class in elki.data.type
Type information for multi-variate time series.
MultivariateSeriesTypeInformation(FeatureVector.Factory<V, ?>, ByteBufferSerializer<? super V>, int, int, int) - Constructor for class elki.data.type.MultivariateSeriesTypeInformation
Constructor for an actual type.
MultivariateSeriesTypeInformation(Class<? super V>, int, int, int) - Constructor for class elki.data.type.MultivariateSeriesTypeInformation
Constructor for an actual type.
multivariateStandardization(double[]) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
 
MultivariateTimeSeriesFilter<V extends FeatureVector<?>> - Class in elki.datasource.filter.typeconversions
Class to "fold" a flat number vector into a multivariate time series.
MultivariateTimeSeriesFilter(int) - Constructor for class elki.datasource.filter.typeconversions.MultivariateTimeSeriesFilter
Constructor.
murmurMix32(int) - Static method in class elki.utilities.random.RandomFactory
MurmurHash3 mixing function.
murmurMix64(long) - Static method in class elki.utilities.random.RandomFactory
MurmurHash3 mixing function.
MutableProgress - Class in elki.logging.progress
Progress class with a moving target.
MutableProgress(String, int, Logging) - Constructor for class elki.logging.progress.MutableProgress
Constructor with logging.
mutation(ArrayList<AggarwalYuEvolutionary.Individuum>, double, double) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch
Apply the mutation algorithm.
mutualInformation - Variable in class elki.evaluation.clustering.Entropy
Mutual information (computed directly)
mutualInformation() - Method in class elki.evaluation.clustering.Entropy
Get the mutual information (not normalized, small values are good).
MutualInformationEquiwidthDependence - Class in elki.math.statistics.dependence
Mutual Information (MI) dependence measure by dividing each attribute into equal-width bins.
MutualInformationEquiwidthDependence() - Constructor for class elki.math.statistics.dependence.MutualInformationEquiwidthDependence
MutualInformationEquiwidthDependence.Par - Class in elki.math.statistics.dependence
Parameterization class.
mvCorDim - Variable in class elki.clustering.dbscan.predicates.FourCNeighborPredicate
Tool to help with parameterization.
mvpKNNSearch(KNNHeap, GNAT.Node, double) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATKNNSearcher
Search the k nearest neighbors
mvpRangeSearch(ModifiableDoubleDBIDList, GNAT.Node, double) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATRangeSearcher
Perform a range search on the MVP Tree
mvs - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
Temporary storage used during initialization.
mvs - Variable in class elki.datasource.filter.transform.PerturbationFilter
Temporary storage used during initialization.
mvSize - Variable in class elki.clustering.dbscan.predicates.FourCNeighborPredicate
Tool to help with parameterization.
mvSize - Variable in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate
Tool to help with parameterization.
mvSize2 - Variable in class elki.clustering.dbscan.predicates.FourCNeighborPredicate
Tool to help with parameterization.
mvVar - Variable in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate
Tool to help with parameterization.
MWPRanking(int[]) - Constructor for class elki.math.statistics.dependence.mcde.MWPTest.MWPRanking
Constructor.
MWPTest - Class in elki.math.statistics.dependence.mcde
Implementation of Mann-Whitney U test returning the p-value (not the test statistic, thus MWP) for MCDEDependence.
MWPTest() - Constructor for class elki.math.statistics.dependence.mcde.MWPTest
Private Constructor - use MWPTest.STATIC
MWPTest.MWPRanking - Class in elki.math.statistics.dependence.mcde
Structure to hold values needed for computing MWP in MCDEDependene.
MWPTest.Par - Class in elki.math.statistics.dependence.mcde
Parameterizer, returning the static instance.
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