A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

M

m - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch

m to use.

m - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary

Holds the value of AggarwalYuEvolutionary.Parameterizer.M_ID.

m - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Parameterizer

m - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO

Holds the value of INFLO.M_ID.

m - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO.Parameterizer

m - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS

Monte-Carlo iterations.

m - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer

Holds the value of HiCS.Parameterizer.M_ID.

m - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine

The incline.

m - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity

Monte-Carlo iterations

m - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity.Parameterizer

Holds the value of HiCS.Parameterizer.M_ID.

m - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle

Center vector

m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Row and column dimensions, and pivot sign.

m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner.Cand

Candidate matrix

m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition

Row and column dimensions.

m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Row and column dimensions.

m - Variable in class de.lmu.ifi.dbs.elki.math.statistics.LinearRegression

m_czech - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

The dissimilarity matrix.

m_hat - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

The similarity matrix.

m_i - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Holds the value of PROCLUS.M_I_ID.

m_i - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.Parameterizer

M_I_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Parameter to specify the multiplier for the initial number of medoids, must be an integer greater than 0.

M_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Parameterizer

Parameter to specify the number of solutions must be an integer greater than 1.

M_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO

Parameter to specify if any object is a Core Object must be a double greater than 0.0 see paper "Two-way search method" 3.2

M_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer

Parameter that specifies the number of iterations in the Monte-Carlo process of identifying high contrast subspaces.

macQueenIterate(Relation<V>, List<Vector>, List<ModifiableDBIDs>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans

Perform a MacQueen style iteration.

MAGIC - Static variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader

Magic number, shared with BundleReader.

MAGIC - Static variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter

Random magic number.

magic - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Magic number used to identify files

magic_class - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Pattern to recognize class label columns.

magic_class - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser.Parameterizer

Pattern to recognize class label columns

MAGIC_CLASS_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser.Parameterizer

Pattern for recognizing class label attributes.

magic_eid - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Pattern to recognize external ids.

magic_eid - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser.Parameterizer

Pattern to recognize external ids

MAGIC_EID_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser.Parameterizer

Pattern for recognizing external ID attributes.

magnitude(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

The magnitude is the position of the highest bit set

magnitude(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

The magnitude is the position of the highest bit set

magnitude(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

The magnitude is the position of the highest bit set

mahalanobisDistance(Matrix, Vector) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Compute the Mahalanobis distance using the given weight matrix.

mahalanobisDistance(double[][], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Compute the Mahalanobis distance using the given weight matrix.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Main method, delegate to super class.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Main method, delegate to super class.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram

Main method to run this application.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication

Run command line application.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.ELKILauncher

Launch ELKI.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Main method to run this application.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances

Main method for application.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores

Main method.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment

Main method.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix

Main method.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIServices

Main method.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.CheckParameterizables

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication

Runs a KDD task accordingly to the specified parameters.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer

Main method to run this application.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Main method that just spawns the UI.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI

Main method that just spawns the UI.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.KDDTask

Runs a KDD task accordingly to the specified parameters.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

Test method.

mainPanel - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

Main panel

make(int) - Static method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix

Make a full dimension similarity matrix.

make(int[]) - Static method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix

Make a partial dimension similarity matrix.

make(Matrix) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid

Static Constructor from an existing matrix columns.

make(Relation<? extends NumberVector<?>>) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid

Static constructor from an existing relation.

make(Relation<? extends NumberVector<?>>, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid

Static constructor from an existing relation.

make(Matrix) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

Static Constructor.

make(Relation<? extends NumberVector<?>>) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

Static Constructor from a full relation.

make(Relation<? extends NumberVector<?>>, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

Static Constructor from a full relation.

make(BitSet, Relation<? extends NumberVector<?>>) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid

Static Constructor from a relation.

make(BitSet, Relation<? extends NumberVector<?>>, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid

Static Constructor from a relation.

make(int) - Static method in class de.lmu.ifi.dbs.elki.math.SinCosTable

Make a table for the given number of steps.

make(int, long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Allocate a new long[].

make(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

Method to configure a class, then instantiate when the configuration step was successful.

makeArffTokenizer(BufferedReader) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Make a StreamTokenizer for the ARFF format.

makeArrow(SVGPlot, SVGArrow.Direction, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGArrow

Draw an arrow at the given position.

makeAWTImage(int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Convert the SVG to a thumbnail image.

makeButtonForVisible(int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance

Make a button for a visible axis

makeButtonsForHidden(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance

Insert buttons for hidden dimensions.

makeByClassOverview(HashMapList<Class<?>, Parameter<?>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

makeByOptOverview(HashMapList<OptionID, Pair<Parameter<?>, Class<?>>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

makeCheckmark(SVGPlot) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGEffects

Creates a 15x15 big checkmark

makeClockwise(List<Vector>) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle

Make the triangle clockwise

makeCluster(DBIDRef, D, DBIDs, ModifiableHierarchy<Cluster<DendrogramModel<D>>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

Make the cluster for the given object

makeConfigurator(Parameter<?>) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel

makeDBIDStorage(DBIDs, int) - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.database.datastore.memory.MemoryDataStoreFactory

makeDescription(Collection<Relation<?>>, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler

Make an HTML description.

makeDetailView() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.DetailViewSelectedEvent

Retrieve a materialized detail plot.

makeDetailView(PlotItem) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

Event triggered when a plot was selected.

makeDoubleDistanceStorage(DBIDs, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MemoryDataStoreFactory

Make a data storage for double distances.

makeDoubleStorage(DBIDs, int) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory

Make a new storage, to associate the given ids with an object of class dataclass.

makeDoubleStorage(DBIDs, int, double) - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil

Make a new storage, to associate the given ids with an object of class dataclass.

makeDoubleStorage(DBIDs, int, double) - Static method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.database.datastore.memory.MemoryDataStoreFactory

makeDoubleStorage(DBIDs, int, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MemoryDataStoreFactory

makeElement(Document) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Turn the path buffer into an SVG element.

makeElement(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Turn the path buffer into an SVG element.

makeFromString(String) - Method in class de.lmu.ifi.dbs.elki.data.ClassLabel.Factory

Convert a string into a class label.

makeFromString(String) - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel.Factory

makeFromString(String) - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel.Factory

makeGradient(int, String[]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Creates a gradient over a set of colors

makeHull(Vector[]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance

makeHullComplex(Vector[]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance

makeIndividuum(int[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch

Make a new individuum helper, computing sparsity=fitness

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.APRIORI.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FirstKInitialMeans.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansLloyd.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMacQueen.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansPlusPlusInitialMeans.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.PAMInitialMeans.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyChosenInitialMeans.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyGeneratedInitialMeans.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuNaive.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierScore.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.EMOutlier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.KNNOutlier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.KNNWeightOutlier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LDF.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LDOF.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.SimpleOutlierEnsemble.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.OnlineLOF.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleKernelDensityLOF.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleLOF.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMeanMultipleAttributes.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianAlgorithm.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianMultipleAttributes.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMoranScatterplotOutlier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuScatterplotOutlier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuZTestOutlier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SLOM.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SOF.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.BitVector.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveHSBColorHistogram.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveRGBColorHistogram.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.ExternalIDJoinDatabaseConnection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ByLabelFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ExternalIDFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.HistogramJitterFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.NoMissingValuesFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseMinMaxNormalization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.LengthNormalization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.RandomSamplingStreamFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ShuffleObjectsFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.SplitNumberVectorFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.LabelJoinDatabaseConnection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser.Parameterizer

Deprecated.

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.FloatVectorLabelParser.Parameterizer

Deprecated.

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SparseBitVectorLabelParser.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SparseFloatVectorLabelParser.Parameterizer

Deprecated.

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterArccos.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterLinear.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterLn.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.JeffreyDivergenceDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseEuclideanDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseLPNormDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseManhattanDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseMaximumDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.HiSCDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.LocalSubspaceDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.AutomaticEvaluation.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.NoAutomaticEvaluation.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve.Parameterizer

Deprecated.

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.KNNQueryFilteredPCAIndex.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.RangeQueryFilteredPCAIndex.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.OneDimSortBulkSplit.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.CloseReinsert.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.GreeneSplit.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.RTreeLinearSplit.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.RTreeQuadraticSplit.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.CovarianceDimensionSimilarity.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HSMDimensionSimilarity.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeInversionDimensionSimilarity.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SURFINGDimensionSimilarity.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.EpanechnikovKernelDensityFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.GaussianKernelDensityFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.KolmogorovSmirnovTest.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.WelchTTest.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.TriangularKernelDensityFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.UniformKernelDensityFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.result.ResultWriter.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingBayes.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMedian.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingRestrictedBayes.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

Make an instance after successful configuration.

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.AxisBasedReferencePoints.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.GridBasedReferencePoints.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.GammaScaling.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.workflow.InputStep.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.workflow.LoggingStep.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.workflow.OutputStep.Parameterizer

makeInstance() - Method in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer

makeInstance() - Method in class tutorial.distancefunction.MultiLPNorm.Parameterizer

makeInstance() - Method in class tutorial.outlier.DistanceStddevOutlier.Parameterizer

makeIntegerStorage(DBIDs, int) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory

Make a new storage, to associate the given ids with an object of class dataclass.

makeIntegerStorage(DBIDs, int, int) - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil

Make a new storage, to associate the given ids with an object of class dataclass.

makeIntegerStorage(DBIDs, int, int) - Static method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.database.datastore.memory.MemoryDataStoreFactory

makeIntegerStorage(DBIDs, int, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MemoryDataStoreFactory

makeInvisible() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea

Make the rectangle invisible.

makeLayerElement() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.AbstractOPTICSVisualization

Produce a new layer element.

makeMarginTransform(double, double, double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Make a transform string to add margins

makeMarginTransform(double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Make a transform string to add margins

makeMarginTransform(double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Make a transform string to add margins

makeMenuItemForVisualizer(Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

makeModel() - Method in interface de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorInterface

Make a cluster model for this cluster.

makeModel() - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Make a cluster model for this cluster.

makeModel() - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorStatic

makeNaiveMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

Obtain the covariance matrix according to the population statistics: n degrees of freedom.

makeObject() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjStaticHistogram

Class to make a new object for the data store.

makeObject() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleArrayStaticHistogram

makeObject() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntArrayStaticHistogram

makeObject() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongArrayStaticHistogram

makeObject() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.MeanVarianceStaticHistogram

makeOPTICSCut(ClusterOrderResult<D>, OPTICSDistanceAdapter<D>, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSCut

Compute an OPTICS cut clustering

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.APRIORI.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeansInitialization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansLloyd.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMacQueen.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.EMOutlier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.KNNOutlier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.KNNWeightOutlier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LDF.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LDOF.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.SimpleOutlierEnsemble.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.OnlineLOF.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleKernelDensityLOF.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleLOF.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveHSBColorHistogram.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveRGBColorHistogram.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.ExternalIDJoinDatabaseConnection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ByLabelFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ExternalIDFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.HistogramJitterFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseMinMaxNormalization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.LengthNormalization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.RandomSamplingStreamFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ShuffleObjectsFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.SplitNumberVectorFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.LabelJoinDatabaseConnection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseLPNormDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.HiSCDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.LocalSubspaceDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve.Parameterizer

Deprecated.

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.KNNQueryFilteredPCAIndex.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.RangeQueryFilteredPCAIndex.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexFactory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.result.ResultWriter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingBayes.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMedian.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingRestrictedBayes.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

Add all options.

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.AxisBasedReferencePoints.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.GridBasedReferencePoints.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.GammaScaling.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramFactory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.workflow.InputStep.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.workflow.LoggingStep.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.workflow.OutputStep.Parameterizer

makeOptions(Parameterization) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer

makeOptions(Parameterization) - Method in class tutorial.distancefunction.MultiLPNorm.Parameterizer

makeOptions(Parameterization) - Method in class tutorial.outlier.DistanceStddevOutlier.Parameterizer

makeOrUpdateSegment(int[], DBIDs, int) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments

makePageFile(Class<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexFactory

Make the page file for this index.

makePair(DistanceDBIDResultIter<D>, DBIDIter) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor

makeParameterDistanceFunction(Class<?>, Class<?>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

Make a default distance function configuration option.

makeRecordStorage(DBIDs, int, Class<?>...) - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.database.datastore.memory.MemoryDataStoreFactory

makeRunnerIfNeeded() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer

Join the runnable queue of a component.

makeSampleMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

Obtain the covariance matrix according to the sample statistics: (n-1) degrees of freedom.

makeSimple(SimpleTypeInformation<? super V>, List<? extends V>) - Static method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

Helper to add a single column to the bundle.

makeStorage(DBIDs, int, Class<? super T>) - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.database.datastore.memory.MemoryDataStoreFactory

makeStyleElement(Document) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager

Make a (filled) CSS style element for the given document.

makeStyleElement(Document) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Make a new CSS style element for the given Document.

makeStyleResult(StyleLibrary) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Generate a new style result for the given style library.

makeTooltip(DBIDRef, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization

Make a tooltip Element for this id.

makeTooltip(DBIDRef, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance

makeTooltip(DBIDRef, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance

makeUnmodifiable(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Wrap an existing DBIDs collection to be unmodifiable.

makeVisible() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea

Make the rectangle visible, for debug purposes.

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization

makeVisualization(VisualizationTask) - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.VisFactory

Produce a visualization instance for the given task

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.ClusterEvaluationVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisualization

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer

makeVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisualization

makeVisualizationOrThumbnail(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory

makeVisualizationOrThumbnail(VisualizationTask) - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.VisFactory

Produce a visualization instance for the given task that may use thumbnails

manager - Variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations

Visualization manager.

manager - Variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations.Parameterizer

Visualization manager.

manager - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer

Visualization manager.

manager - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer.Parameterizer

Visualization manager.

managerStarted(UpdateManagerEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer.UMAdapter

React to an update manager becoming available.

managerStopped(UpdateManagerEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer.UMAdapter

ManhattanDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Manhattan distance function to compute the Manhattan distance for a pair of FeatureVectors.

ManhattanDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction

Deprecated.

Use static instance!

ManhattanDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Parameterization class.

ManhattanDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction.Parameterizer

manhattanSegmentalDistance(V, V, TIntSet) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Returns the Manhattan segmental distance between o1 and o2 relative to the specified dimensions.

map - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore

Data storage.

map - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleDistanceStore

Data storage.

map - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore

Data storage.

map - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore

Data storage.

map - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache

The map holding the objects of this cache.

map - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

map - Variable in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult

Map of object IDs to their cluster order entry

map - Variable in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.PredecessorAdapter

Access reference.

map - Variable in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.ReachabilityDistanceAdapter

Access reference.

map - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore

HashMap with object values

map - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

HashMap of open print streams.

map - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.LayerMap

The actual map

map - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

Data

mapArray() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

(Re-) map the data array.

mapDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD

mapDBIDToOffset(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreIDMap

Map a DBID to an array offset.

mapDBIDToOffset(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange

MapIntegerDBIDDBIDStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

Writable data store for double values.

MapIntegerDBIDDBIDStore(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore

Constructor.

MapIntegerDBIDDoubleDistanceStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

Writable data store for double values.

MapIntegerDBIDDoubleDistanceStore(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleDistanceStore

Constructor.

MapIntegerDBIDDoubleDistanceStore(int, double) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleDistanceStore

Constructor.

MapIntegerDBIDDoubleStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

Writable data store for double values.

MapIntegerDBIDDoubleStore(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore

Constructor.

MapIntegerDBIDDoubleStore(int, double) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore

Constructor.

MapIntegerDBIDIntegerStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

Writable data store for double values.

MapIntegerDBIDIntegerStore(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore

Constructor.

MapIntegerDBIDIntegerStore(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore

Constructor.

MapIntegerDBIDRecordStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

A class to answer representation queries using a map and an index within the record.

MapIntegerDBIDRecordStore(int, TIntObjectMap<Object[]>) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore

Constructor with existing data.

MapIntegerDBIDRecordStore(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore

Constructor without existing data.

MapIntegerDBIDRecordStore(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore

Constructor without existing data.

MapIntegerDBIDRecordStore.StorageAccessor<T> - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

Access a single record in the given data.

MapIntegerDBIDRecordStore.StorageAccessor(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor

Constructor.

MapIntegerDBIDStore<T> - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

A class to answer representation queries using a map.

MapIntegerDBIDStore(TIntObjectMap<T>) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDStore

Constructor.

MapIntegerDBIDStore() - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDStore

Constructor.

MapIntegerDBIDStore(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDStore

Constructor.

MapRecordStore - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

A class to answer representation queries using a map and an index within the record.

MapRecordStore(int, Map<DBID, Object[]>) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore

Constructor with existing data.

MapRecordStore(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore

Constructor without existing data.

MapRecordStore.StorageAccessor<T> - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

Access a single record in the given data.

MapRecordStore.StorageAccessor(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor

Constructor.

MapStore<T> - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

A class to answer representation queries using a map.

MapStore(Map<DBID, T>) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore

Constructor.

MapStore() - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore

Constructor.

MARGIN - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary

Margin

margins - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization

margin

markAsAssigned() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Marks this unit as assigned to a cluster.

MARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance

CSS Class for the range marker

MARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance

CSS Class for the range marker

MARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance

Generic tag to indicate the type of element.

MARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance

Generic tag to indicate the type of element.

markerlib - Variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary

Marker library to use

MarkerLibrary - Interface in de.lmu.ifi.dbs.elki.visualization.style.marker

A marker library is a class that can generate and draw various styles of markers.

MARKERPLOT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary

Marker size

markers() - Method in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary

markers() - Method in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary

Get the marker library to use.

MarkerVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot

Visualize e.g. a clustering using different markers for different clusters.

MarkerVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization

Constructor, adhering to Parameterizable

MarkerVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot

Instance.

MarkerVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance

Constructor.

mask - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization

The event mask.

MASK_ID - Static variable in class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram

Parameter that specifies the name of the mask input file.

MaskedArrayList<T> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures

This class is a virtual collection based on masking an array list using a bit mask.

MaskedArrayList(ArrayList<T>, BitSet, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.MaskedArrayList

Constructor.

MaskedArrayList.InvItr - Class in de.lmu.ifi.dbs.elki.utilities.datastructures

Iterator over unset elements.

MaskedArrayList.InvItr() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.MaskedArrayList.InvItr

Constructor

MaskedArrayList.Itr - Class in de.lmu.ifi.dbs.elki.utilities.datastructures

Iterator over set bits

MaskedArrayList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.MaskedArrayList.Itr

Constructor

MaskedDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids.generic

View on an ArrayDBIDs masked using a BitMask for efficient mask changing.

MaskedDBIDs(ArrayDBIDs, BitSet, boolean) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs

Constructor.

MaskedDBIDs.DBIDItr - Class in de.lmu.ifi.dbs.elki.database.ids.generic

Iterator over set bits.

MaskedDBIDs.DBIDItr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.DBIDItr

Constructor.

MaskedDBIDs.InvDBIDItr - Class in de.lmu.ifi.dbs.elki.database.ids.generic

Iterator over set bits.

MaskedDBIDs.InvDBIDItr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvDBIDItr

Constructor.

maskFile - Variable in class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram

Mask file.

maskFile - Variable in class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram.Parameterizer

Mask file.

MASTER_CACHE - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil

(Non-weak) cache for all "frequently scanned" classes.

materialize() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram

Materialize the histogram from the cache.

materialize() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram

Materialize the histogram from the cache.

materialize() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram

Materialize the histogram from the cache.

materialize() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram

Materialize the histogram from the cache.

materialize() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram

Materialize the histogram from the cache.

materialize() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram

Materialize the histogram from the cache.

materialized_RkNN - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor

Additional data storage for RkNN.

MaterializeDistances<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm

Algorithm to materialize all the distances in a data set.

MaterializeDistances(DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances

Constructor.

MaterializeDistances.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm

Parameterization class.

MaterializeDistances.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances.Parameterizer

MaterializedRelation<O> - Class in de.lmu.ifi.dbs.elki.database.relation

Represents a single representation.

MaterializedRelation(Database, SimpleTypeInformation<O>, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

Constructor.

MaterializedRelation(Database, SimpleTypeInformation<O>, DBIDs, String) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

Constructor.

MaterializedRelation(Database, SimpleTypeInformation<O>, DBIDs, String, DataStore<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

Constructor.

MaterializedRelation(String, String, SimpleTypeInformation<O>, DataStore<O>, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

Constructor.

MaterializeKNNAndRKNNPreprocessor<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.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>, DistanceFunction<? super O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor

Constructor.

MaterializeKNNAndRKNNPreprocessor.Factory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

The parameterizable factory.

MaterializeKNNAndRKNNPreprocessor.Factory(int, DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory

Constructor.

MaterializeKNNAndRKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Parameterization class.

MaterializeKNNAndRKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory.Parameterizer

materializeKNNAndRKNNs(ArrayDBIDs, FiniteProgress) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor

Materializes the kNNs and RkNNs of the specified object IDs.

MaterializeKNNPreprocessor<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.

MaterializeKNNPreprocessor(Relation<O>, DistanceFunction<? super O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor

Constructor with preprocessing step.

MaterializeKNNPreprocessor.Factory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

The parameterizable factory.

MaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory

Index factory.

MaterializeKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Parameterization class.

MaterializeKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory.Parameterizer

materializeROC(int, Set<? super T>, Iterator<? extends PairInterface<C, T>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC

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.

materializeROC(int, SetDBIDs, Iterator<? extends PairInterface<C, ? extends DBIDRef>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC

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 de.lmu.ifi.dbs.elki.math

A collection of math related utility functions.

MathUtil() - Constructor for class de.lmu.ifi.dbs.elki.math.MathUtil

Fake constructor for static class.

MATRIX - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Matrix type.

Matrix - Class in de.lmu.ifi.dbs.elki.math.linearalgebra

A two-dimensional matrix class, where the data is stored as two-dimensional array.

Matrix(int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Constructs an m-by-n matrix of zeros.

Matrix(int, int, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Constructs an m-by-n constant matrix.

Matrix(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Constructs a matrix from a 2-D array.

Matrix(RationalNumber[][]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Constructs a Matrix for a given array of arrays of RationalNumbers.

Matrix(double[], int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Construct a matrix from a one-dimensional packed array

Matrix(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Constructor, cloning an existing matrix.

MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction

Parameter that specifies the name of the distance matrix file.

MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction

Parameter that specifies the name of the distance matrix file.

MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

Parameter that specifies the name of the distance matrix file.

MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

Parameter that specifies the name of the distance matrix file.

matrixfile - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction.Parameterizer

matrixfile - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction.Parameterizer

matrixsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix

Size of the matrix

max - Variable in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox

The coordinates of the 'upper right' (= maximum) hyper point.

max - Variable in class de.lmu.ifi.dbs.elki.data.Interval

The maximum (right) value of this interval.

max - Variable in class de.lmu.ifi.dbs.elki.data.spatial.Polygon

Maximum values

max(D, D) - Static method in class de.lmu.ifi.dbs.elki.distance.DistanceUtil

Returns the maximum of the given Distances or the first, if none is greater than the other one.

max(Map<Integer, ModifiableDBIDs>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex

Returns the set with the maximum size contained in the specified map.

max(List<D>, List<D>) - Method in class de.lmu.ifi.dbs.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 - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.SpatialComparator

Indicates the comparison of the max values of the entries' MBRs.

max - Variable in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax

Maximum value

max - Variable in class de.lmu.ifi.dbs.elki.math.scales.LinearScale

max value of the scale

max - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution

Maximum

max - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution

Maximum

max - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram

To avoid introducing an extra bucket for the maximum value.

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling

Field storing the maximum to use

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling.Parameterizer

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling

Maximum value seen

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling

Field storing the Maximum value

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling.Parameterizer

Field storing the Maximum value

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierMinusLogScaling

Maximum value seen, set by OutlierMinusLogScaling.prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult)

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling

Field storing the Maximum value

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling.Parameterizer

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling

The maximum value

max_degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction

Degree of the polynomial kernel function

max_degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction.Parameterizer

MAX_DEGREE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction

Parameter for the maximum degree

MAX_DIMENSIONS_DEFAULT - Static variable in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory

Maximum number of dimensions to visualize.

MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingRestrictedBayes.Parameterizer

Option ID for the minimum and maximum vote

MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling

Parameter to specify the maximum value Key: -clipscale.max

MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling

Parameter to specify the maximum value.

MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling

Parameter to specify the fixed maximum to use.

MAX_ITERATIONS - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary

Maximum iteration count for evolutionary search.

MAX_K_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve

Maximum value for k Key: -precision.k

MAX_RETRIES - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS

Maximum number of retries.

MAX_SIZE - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting

This is the maximum size this implementation can support.

maxdim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

Maximum dimensionality to search for

maxdim - Variable in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation

Maximum dimensionality.

maxdim() - Method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation

Get the maximum dimensionality of the occurring vectors.

maxdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.SparseVectorFieldFilter

Maximum dimension.

maxdim - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser

Holds the dimensionality of the parsed data which is the maximum occurring index of any attribute.

maxdim - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser

Maximum dimension used.

maxdim - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramFactory

Maximum dimensionality.

maxdim - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramFactory.Parameterizer

Stores the maximum number of dimensions to show.

maxdim - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory

Stores the maximum number of dimensions to show.

maxdim - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory.Parameterizer

Stores the maximum number of dimensions to show.

MAXDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

Parameter with the maximum dimension to search for

MAXDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory.Parameterizer

Parameter for the maximum number of dimensions.

maxDistLevel(DBID, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.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 de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVACandidate

(Current) maximum distance of this candidate.

MaxExtensionBulkSplit - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit

Constructor

MaxExtensionBulkSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk

Parameterization class.

MaxExtensionBulkSplit.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit.Parameterizer

MAXFAST - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution

Maximum number of iterations of fast variant

maxi - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution

Maximum integer to use

maxima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseMinMaxNormalization

Stores the maximum in each dimension.

maxima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseMinMaxNormalization.Parameterizer

Stores the maximum in each dimension.

MAXIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseMinMaxNormalization

Parameter for maximum.

maximum - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.SteepArea

Maximum value

MaximumDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Maximum distance function to compute the Maximum distance for a pair of FeatureVectors.

MaximumDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction

Deprecated.

Use static instance!

MaximumDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Parameterization class.

MaximumDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction.Parameterizer

maxIntegerDigits(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Returns the maximum integer digits in each column of the specified values.

maxIntegerDigits(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Returns the maximum integer digits of the specified values.

maxIntersection(Map<Integer, ModifiableDBIDs>, DBIDs, ModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex

Returns the index of the set having the maximum intersection set with the specified set contained in the specified map.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

Maximum number of iterations to allow

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM.Parameterizer

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans

Holds the value of KMeans.MAXITER_ID.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansLloyd.Parameterizer

Number of iterations.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMacQueen.Parameterizer

Maximum number of iterations.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd.Parameterizer

Maximum number of iterations.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM

Holds the value of KMeans.MAXITER_ID.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM.Parameterizer

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM

Holds the value of KMeans.MAXITER_ID.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM.Parameterizer

MAXITER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering

Maximum number of iterations.

maxiter - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer

Number of iterations.

MAXITER_ID - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.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.

maxk - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores

Maximum value of k

maxk - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

Maximum value of k

maxk - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve

Maximum value for k

maxk - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve.Parameterizer

MAXK_ID - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

Option ID for k step size.

maxlength - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.StringLengthConstraint

Maximum length

maxLevel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Holds the value of CASH.MAXLEVEL_ID.

maxlevel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer

MAXLEVEL_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Parameter to specify the maximum level for splitting the hypercube, must be an integer greater than 0.

maxLMDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS

Maximum cluster dimensionality

maxRegLevel(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures

Level of the maximum region containing ref but not q

MAXRESOLUTION - Static variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow

Maximum resolution for plotted lines to improve performance for long time series.

maxruns - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Maximum number of iterations in run()

maxsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedHeap

Maximum size.

maxsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedUpdatableHeap

Maximum size.

maxsmall - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Maximum number of small improvements (stopping condition)

maxSorting - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split

The entries sorted according to their max values of their MBRs.

maxSplitDimension - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Holds the maximum dimension which has already been split.

maxValues - Variable in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurveTransformer

Maximum values in each dimension.

maxvote - Variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingRestrictedBayes

Maximum vote to cast

maxvote - Variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingRestrictedBayes.Parameterizer

Maximum vote to cast

maxx - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve

Minimum and maximum for X axis

maxx - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.CanvasSize

Maximum X

maxy - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve

Minimum and maximum for Y axis

maxy - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.CanvasSize

Maximum Y

mbr(DoubleIntPair[], int, int) - Method in class de.lmu.ifi.dbs.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.

mbr - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry

The minimum bounding rectangle of the underlying spatial node.

MCEDimensionSimilarity - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Compute dimension similarity by using a nested means discretization.

MCEDimensionSimilarity() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity

Constructor.

MCEDimensionSimilarity.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Parameterization class.

MCEDimensionSimilarity.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity.Parameterizer

mdist(Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D

Manhattan distance.

mean - Variable in class de.lmu.ifi.dbs.elki.data.model.MeanModel

Cluster mean

mean - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization

Stores the mean in each dimension.

mean - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization.Parameterizer

Stores the mean in each dimension.

mean - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform

Vector for data set centering.

mean - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

The means.

Mean - Class in de.lmu.ifi.dbs.elki.math

Compute the mean using a numerically stable online algorithm.

Mean() - Constructor for class de.lmu.ifi.dbs.elki.math.Mean

Empty constructor

Mean(Mean) - Constructor for class de.lmu.ifi.dbs.elki.math.Mean

Constructor from other instance

mean - Variable in class de.lmu.ifi.dbs.elki.math.Mean

Mean of values

mean - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

Mean value for the generator

mean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling

Mean

mean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Mean to use

mean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Parameterizer

mean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling

Mean to use

MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization

Parameter for means.

MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling

Flag to use the mean as minimum for scaling.

MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Parameter to specify a fixed mean to use.

MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling

Parameter to specify a fixed mean to use.

MeanModel<V extends FeatureVector<?>> - Class in de.lmu.ifi.dbs.elki.data.model

Cluster model that stores a mean for the cluster.

MeanModel(V) - Constructor for class de.lmu.ifi.dbs.elki.data.model.MeanModel

Constructor with mean

means(List<? extends ModifiableDBIDs>, List<? extends NumberVector<?>>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans

Returns the mean vectors of the given clusters in the given database.

MeanVariance - Class in de.lmu.ifi.dbs.elki.math

Do some simple statistics (mean, variance) using a numerically stable online algorithm.

MeanVariance() - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance

Empty constructor

MeanVariance(MeanVariance) - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance

Constructor from other instance

MeanVarianceMinMax - Class in de.lmu.ifi.dbs.elki.math

Class collecting mean, variance, minimum and maximum statistics.

MeanVarianceMinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax

Constructor.

MeanVarianceMinMax(MeanVarianceMinMax) - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax

Constructor cloning existing statistics.

MeanVarianceStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Histogram class storing MeanVaraince object.

MeanVarianceStaticHistogram(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.MeanVarianceStaticHistogram

Constructor.

meanX - Variable in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Current mean for X

meanY - Variable in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Current mean for Y

median(double[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Compute the median of an array efficiently using the QuickSelect method.

median(double[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Compute the median of an array efficiently using the QuickSelect method.

median(T[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Compute the median of an array efficiently using the QuickSelect method.

median(T[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Compute the median of an array efficiently using the QuickSelect method.

median(List<? extends T>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Compute the median of an array efficiently using the QuickSelect method.

median(List<? extends T>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Compute the median of an array efficiently using the QuickSelect method.

median(List<? extends T>, Comparator<? super T>) - Static method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Compute the median of an array efficiently using the QuickSelect method.

median(ArrayModifiableDBIDs, Comparator<? super DBIDRef>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Compute the median of an array efficiently using the QuickSelect method.

median(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Compute the median of an array efficiently using the QuickSelect method.

medians(List<? extends ModifiableDBIDs>, List<? extends NumberVector<?>>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans

Returns the median vectors of the given clusters in the given database.

medoid - Variable in class de.lmu.ifi.dbs.elki.data.model.MedoidModel

Cluster medoid

MedoidModel - Class in de.lmu.ifi.dbs.elki.data.model

Cluster model that stores a mean for the cluster.

MedoidModel(DBID) - Constructor for class de.lmu.ifi.dbs.elki.data.model.MedoidModel

Constructor with medoid

MemoryDataStoreFactory - Class in de.lmu.ifi.dbs.elki.database.datastore.memory

Simple factory class that will store all data in memory using object arrays or hashmaps.

MemoryDataStoreFactory() - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MemoryDataStoreFactory

MemoryPageFile<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent

A memory based implementation of a PageFile that simulates I/O-access.

MemoryPageFile(int) - Constructor for class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile

Creates a new MemoryPageFile that is supported by a cache with the specified parameters.

merge(Relation<V>, DistanceQuery<V, DoubleDistance>, List<ORCLUS<V>.ORCLUSCluster>, int, int, IndefiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Reduces the number of seeds to k_new

mergeCSSFrom(CSSClassManager) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager

Merge CSS classes, for example to merge two plots.

MergedDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids.generic

Merge the IDs of multiple layers into one.

MergedDBIDs(DBIDs...) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.MergedDBIDs

Constructor.

MergedIterator<E> - Class in de.lmu.ifi.dbs.elki.utilities.iterator

Iterator that joins multiple existing iterators into one.

MergedIterator(Iterator<Iterator<E>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.iterator.MergedIterator

Main constructor.

MergedIterator(Collection<Iterator<E>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.iterator.MergedIterator

Auxillary constructor with Collections

MergedIterator(Iterator<E>...) - Constructor for class de.lmu.ifi.dbs.elki.utilities.iterator.MergedIterator

Auxillary constructor with arrays

MergedParameterization - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization

Constructor.

MergedParameterization(Parameterization, ListParameterization, List<Pair<OptionID, Object>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization

Constructor for descending

mergeIDs(List<? extends DistanceDBIDResult<D>>, DBIDs...) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.OnlineLOF.LOFKNNListener

Merges the ids of the query result with the specified ids.

message(String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil

Static version to log a 'info' message.

message(String, Throwable) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil

Static version to log a 'info' message.

MessageFormatter - Class in de.lmu.ifi.dbs.elki.logging

A formatter to simply retrieve the message of an LogRecord without printing origin information.

MessageFormatter() - Constructor for class de.lmu.ifi.dbs.elki.logging.MessageFormatter

Provides a message formatter to simply retrieve the message of an LogRecord.

meta - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader

Bundle metadata.

meta - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

Storing the meta data.

meta() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

meta(int) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

meta() - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.ObjectBundle

Access the meta data.

meta(int) - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.ObjectBundle

Access the meta data.

meta - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle

Store the meta data.

meta() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle

meta(int) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle

meta - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter

The filtered meta.

meta - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter

The filtered meta

meta - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser

Metadata.

meta - Variable in class de.lmu.ifi.dbs.elki.result.outlier.OutlierResult

Outlier score meta information

meta - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling

Keep a reference to the outlier score meta, for normalization.

metaLength() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

metaLength() - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.ObjectBundle

Get the metadata length.

metaLength() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle

MetricalIndexApproximationMaterializeKNNPreprocessor<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.

MetricalIndexApproximationMaterializeKNNPreprocessor(Relation<O>, DistanceFunction<? super O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor

Constructor

MetricalIndexApproximationMaterializeKNNPreprocessor.Factory<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

The parameterizable factory.

MetricalIndexApproximationMaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory

Constructor.

MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Parameterization class.

MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

MetricalIndexKNNQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query

Instance of a KNN query for a particular spatial index.

MetricalIndexKNNQuery(AbstractMTree<O, D, ?, ?>, DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexKNNQuery

Constructor.

MetricalIndexRangeQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query

Instance of a range query for a particular spatial index.

MetricalIndexRangeQuery(AbstractMTree<O, D, ?, ?>, DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexRangeQuery

Constructor.

MetricalIndexTree<O,D extends Distance<D>,N extends Node<E>,E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical

Abstract super class for all metrical index classes.

MetricalIndexTree(PageFile<N>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.MetricalIndexTree

Constructor.

mib - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.SteepDownArea

Maximum in-between value

min - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI.ALOCIQuadTree

Tree parameters

min - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures

Data space minimums

min - Variable in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox

The coordinates of the 'lower left' (= minimum) hyper point.

min - Variable in class de.lmu.ifi.dbs.elki.data.Interval

The minimum (left) value of this interval.

min - Variable in class de.lmu.ifi.dbs.elki.data.spatial.Polygon

Minimum values

min(D, D) - Static method in class de.lmu.ifi.dbs.elki.distance.DistanceUtil

Returns the minimum of the given Distances or the first, if none is less than the other one.

MIN - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.SpatialComparator

Indicates the comparison of the min values of the entries' MBRs.

min - Variable in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax

Minimum value

min - Variable in class de.lmu.ifi.dbs.elki.math.scales.LinearScale

min value of the scale

min - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution

Minimum

min - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution

Minimum

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling

Field storing the minimum to use

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling.Parameterizer

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling

Field storing the Minimum to use

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling.Parameterizer

Field storing the Minimum to use

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling

Field storing the minimum value

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling.Parameterizer

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Min to use

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Parameterizer

MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingBayes.Parameterizer

Option ID for the minimum and maximum vote

MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingRestrictedBayes.Parameterizer

Option ID for the minimum and maximum vote

MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling

Parameter to specify a fixed minimum to use.

MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling

Parameter to specify a fixed minimum to use.

MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling

Parameter to specify the fixed minimum to use.

MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Parameter to specify the fixed minimum to use.

MIN_LOGLIKELIHOOD - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

minclusters - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

Minimum number of clusters to extract

minclusters - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK.Parameterizer

minCosAngle(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil

Compute the minimum angle between two rectangles.

minDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Holds the value of CASH.MINDIM_ID.

mindim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer

mindim - Variable in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection

Minimum dimensionality required for projection.

mindim - Variable in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection

Minimum dimensionality required for projection.

mindim - Variable in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation

Minimum dimensionality.

mindim() - Method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation

Get the minimum dimensionality of the occurring vectors.

MINDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Parameter to specify the minimum dimensionality of the subspaces to be found, must be an integer greater than 0.

mindist - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin.Task

Minimum distance.

minDist(SpatialComparable, V) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.SpatialDistanceQuery

Computes the minimum distance between the given MBR and the FeatureVector object according to this distance function.

minDist(SpatialComparable, DBID) - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.database.query.distance.SpatialPrimitiveDistanceQuery

minDist(SpatialComparable, DBID) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.SpatialPrimitiveDistanceQuery

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.SpatialPrimitiveDistanceFunction

Computes the distance between the two given MBRs according to this distance function.

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction

mindist - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.DoubleDistanceSearchCandidate

Distance value

mindist - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.GenericDistanceSearchCandidate

Distance value

minDistBROKEN(SpatialComparable, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Instance

minDistLevel(DBID, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures

minDist function calculate the minimal Distance from Vector p to the border of the corresponding r-region at the given level

minDistP - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVACandidate

(Current) minimum distance of this candidate.

minfreq - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

Holds the value of APRIORI.MINFREQ_ID.

minfreq - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI.Parameterizer

Parameter for minFreq.

MINFREQ_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

Optional parameter to specify the threshold for minimum frequency, must be a double greater than or equal to 0 and less than or equal to 1.

MiniGUI - Class in de.lmu.ifi.dbs.elki.gui.minigui

Minimal GUI built around a table-based parameter editor.

MiniGUI() - Constructor for class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Constructor.

MiniGUI.SettingsComboboxModel - Class in de.lmu.ifi.dbs.elki.gui.minigui

Class to interface between the saved settings list and a JComboBox.

MiniGUI.SettingsComboboxModel(SavedSettingsFile) - Constructor for class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI.SettingsComboboxModel

Constructor.

minima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseMinMaxNormalization

Stores the minimum in each dimension.

minima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseMinMaxNormalization.Parameterizer

Stores the minimum in each dimension.

MINIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseMinMaxNormalization

Parameter for minimum.

MinimalMarkers - Class in de.lmu.ifi.dbs.elki.visualization.style.marker

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

MinimalMarkers(StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.marker.MinimalMarkers

Constructor

MINIMUM_FILL_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory

Parameter for the relative minimum fill.

MinimumDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Maximum distance function to compute the Minimum distance for a pair of FeatureVectors.

MinimumDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction

Deprecated.

Use static instance!

MinimumDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Parameterization class.

MinimumDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction.Parameterizer

minimumFill - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory

Relative minimum fill

minimumFill - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer

Relative minimum fill

MinKDistance<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

A distance that is at least the distance to the kth nearest neighbor.

MinKDistance(DistanceFunction<? super O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance

Full constructor.

MinKDistance.Instance<T extends O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Instance for an actual database.

MinKDistance.Instance(Relation<T>, int, DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance.Instance

Constructor.

MinKDistance.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Parameterization class.

MinKDistance.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance.Parameterizer

minlength - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.StringLengthConstraint

Minimum length

minmax - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale

Minimum and maximum to use.

minmax - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale.Parameterizer

Minimum and maximum to use.

MinMax<T extends Comparable<? super T>> - Class in de.lmu.ifi.dbs.elki.math

Class to find the minimum and maximum double values in data.

MinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.MinMax

Constructor without starting values.

MinMax(T, T) - Constructor for class de.lmu.ifi.dbs.elki.math.MinMax

Constructor with predefined minimum and maximum values.

MINMAX_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale.Parameterizer

Minimum and maximum values.

minmaxX - Variable in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D

Min/Max in X

minmaxY - Variable in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D

Min/Max in Y

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN

Holds the value of AbstractProjectedDBSCAN.MINPTS_ID.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN.Parameterizer

minPts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit

Minimum points.

minPts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Holds the value of CASH.MINPTS_ID.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Holds the value of DBSCAN.MINPTS_ID.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN.Parameterizer

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

Holds the value of DeLiClu.MINPTS_ID.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.Parameterizer

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Instance

The minpts parameter.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate

The minpts parameter.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Parameterizer

Minpts value

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

Holds the value of OPTICS.MINPTS_ID.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS.Parameterizer

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Holds the value of SNNClustering.MINPTS_ID.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering.Parameterizer

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU

Holds the value of SUBCLU.MINPTS_ID.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF

Parameter to specify the threshold MinPts.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF.Parameterizer

minpts - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory

Threshold for minimum number of points in the neighborhood.

minpts - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory.Parameterizer

Threshold for minimum number of points in the neighborhood.

minpts - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex

Threshold for minimum number of points in the neighborhood.

minpts - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory

Holds the value of parameter minpts.

minpts - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory.Parameterizer

Holds the value of parameter minpts.

minpts - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex

Holds the value of parameter minpts.

MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN

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 de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

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 de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

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 de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

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 de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

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 de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Parameter to specify the threshold for minimum number of points in the epsilon-SNN-neighborhood of a point, must be an integer greater than 0.

MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU

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 de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory

Positive threshold for minimum numbers of points in the epsilon-neighborhood of a point, must satisfy following DiSHPreferenceVectorIndex.Factory.CONDITION.

MINPTS_P - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory

Option name for DiSHPreferenceVectorIndex.Factory.MINPTS_ID.

MinPtsCorePredicate - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

The DBSCAN default core point predicate -- having at least MinPtsCorePredicate.minpts neighbors.

MinPtsCorePredicate(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate

Default constructor.

MinPtsCorePredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

Instance for a particular data set.

MinPtsCorePredicate.Instance(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Instance

Constructor for this predicate.

MinPtsCorePredicate.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

Parameterization class

MinPtsCorePredicate.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Parameterizer

minRegLevel(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures

minReg function calculate the minimal r-region level containing two points

minsize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS

Minimum cluster size

minsize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

Minimum cluster size.

MINSIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

Parameter for the minimum cluster size

minSorting - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split

The entries sorted according to their min values of their MBRs.

minsupp - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

Holds the value of APRIORI.MINSUPP_ID.

minsupp - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI.Parameterizer

Parameter for minSupp.

MINSUPP_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

Parameter to specify the threshold for minimum support as minimally required number of transactions, must be an integer equal to or greater than 0.

minus(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic

Subtracts the given number from this number.

minus(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber

minus(BitDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance

minus(D) - Method in interface de.lmu.ifi.dbs.elki.distance.distancevalue.Distance

Returns a new Distance by subtracting the given distance from this distance.

minus(DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance

minus(FloatDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance

minus(IntegerDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance

minus(PCACorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PCACorrelationDistance

minus(PreferenceVectorBasedCorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance

minus(SubspaceDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.SubspaceDistance

minus(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

C = A - B

minus(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Returns this vector minus the specified vector v.

minus(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Computes v1 - v2

minus(double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Compute v1 - d

minus(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

m3 = m1 - m2

minusEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

A = A - B

minusEquals(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

a = a - b.

minusEquals(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Subtract a constant value from all dimensions.

minusEquals(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Computes v1 = v1 - v2, overwriting v1

minusEquals(double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Computes v1 = v1 - d, overwriting v1

minusEquals(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

m1 = m1 - m2, overwriting m1

MinusLogGammaScaling - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling

Constructor.

MinusLogGammaScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Parameterization class.

MinusLogGammaScaling.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling.Parameterizer

MinusLogScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling

Scaling function to invert values by computing -1 * Math.log(x)

MinusLogScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.MinusLogScaling

MinusLogStandardDeviationScaling - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling

Constructor.

MinusLogStandardDeviationScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Parameterization class.

MinusLogStandardDeviationScaling.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling.Parameterizer

minusTimes(Matrix, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

C = A - s * B

minusTimes(Vector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Returns this vector minus the specified vector v times s.

minusTimes(double[], double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Computes v1 - v2 * s2

minusTimes(double[][], double[][], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

m3 = m1 - s2 * m2

minusTimesEquals(Matrix, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

A = A - s * B

minusTimesEquals(Vector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

a = a - s * b.

minusTimesEquals(double[], double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Computes v1 = v1 - v2 * s2, overwriting v1

minusTimesEquals(double[][], double[][], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

m1 = m1 - s2 * m2, overwriting m1

minValues - Variable in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurveTransformer

Minimum values in each dimension.

minvote - Variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingBayes

Minimum vote to cast

minvote - Variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingBayes.Parameterizer

Minimum vote to cast

minvote - Variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingRestrictedBayes

Minimum vote to cast

minvote - Variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingRestrictedBayes.Parameterizer

Minimum vote to cast

minx - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve

Minimum and maximum for X axis

minx - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.CanvasSize

Minimum X

miny - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve

Minimum and maximum for Y axis

miny - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.CanvasSize

Minimum Y

mirkin() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting

Computes the Mirkin index

MIter - Interface in de.lmu.ifi.dbs.elki.utilities.iterator

Modifiable iterator, that also supports removal.

mixAlpha(int, int, int, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext

Mix the new values with the original values taking the alpha value into account.

mixHashCodes(int...) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Mix multiple hashcodes into one.

mixMagic(int, int) - Static method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Mix two magic numbers into one, to obtain a combined magic.

MixtureModelOutlierScalingFunction - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Tries to fit a mixture model (exponential for inliers and gaussian for outliers) to the outlier score distribution.

MixtureModelOutlierScalingFunction() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction

MkAppDirectoryEntry<D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Represents an entry in a directory node of a MkApp-Tree.

MkAppDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry

Empty constructor for serialization purposes.

MkAppDirectoryEntry(DBID, D, Integer, D, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry

Provides a new MkCoPDirectoryEntry with the given parameters.

MkAppEntry<D extends NumberDistance<D,?>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Defines the requirements for an entry in an MkCop-Tree node.

MkAppLeafEntry<D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Represents an entry in a leaf node of a MkApp-Tree.

MkAppLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry

Empty constructor for serialization purposes.

MkAppLeafEntry(DBID, D, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry

Provides a new MkAppLeafEntry with the given parameters.

MkAppTree<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.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(PageFile<MkAppTreeNode<O, D>>, DistanceQuery<O, D>, DistanceFunction<O, D>, int, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Constructor.

MkAppTreeFactory<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Factory for a MkApp-Tree

MkAppTreeFactory(String, int, long, DistanceFunction<O, D>, int, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory

Constructor.

MkAppTreeFactory.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Parameterization class.

MkAppTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory.Parameterizer

MkAppTreeIndex<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

MkAppTree used as database index.

MkAppTreeIndex(Relation<O>, PageFile<MkAppTreeNode<O, D>>, DistanceQuery<O, D>, DistanceFunction<O, D>, int, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex

Constructor.

MkAppTreeNode<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Represents a node in an MkApp-Tree.

MkAppTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode

Empty constructor for Externalizable interface.

MkAppTreeNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode

Creates a MkAppTreeNode object.

MkCoPDirectoryEntry<D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Represents an entry in a directory node of an MkCop-Tree.

MkCoPDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry

Empty constructor for serialization purposes.

MkCoPDirectoryEntry(DBID, D, Integer, D, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry

Provides a new MkCoPDirectoryEntry with the given parameters.

MkCoPEntry<D extends NumberDistance<D,?>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Defines the requirements for an entry in an MkCop-Tree node.

MkCoPLeafEntry<D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Represents an entry in a leaf node of a MkCoP-Tree.

MkCoPLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry

Empty constructor for serialization purposes.

MkCoPLeafEntry(DBID, D, ApproximationLine, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry

Provides a new MkCoPLeafEntry with the given parameters.

MkCoPTree<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.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(PageFile<MkCoPTreeNode<O, D>>, DistanceQuery<O, D>, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

Constructor.

MkCopTreeFactory<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Factory for a MkCoPTree-Tree

MkCopTreeFactory(String, int, long, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory

Constructor.

MkCopTreeFactory.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Parameterization class.

MkCopTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory.Parameterizer

MkCoPTreeIndex<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

MkCoPTree used as database index.

MkCoPTreeIndex(Relation<O>, PageFile<MkCoPTreeNode<O, D>>, DistanceQuery<O, D>, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex

Constructor.

MkCoPTreeNode<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Represents a node in an MkCop-Tree.

MkCoPTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode

Empty constructor for Externalizable interface.

MkCoPTreeNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode

Creates a MkCoPTreeNode object.

MkMaxDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Represents an entry in a directory node of an MkMaxTree.

MkMaxDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry

Empty constructor for serialization purposes.

MkMaxDirectoryEntry(DBID, D, Integer, D, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry

Provides a new MkMaxDirectoryEntry with the given parameters.

MkMaxEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Defines the requirements for an entry in an MkMaxTreeNode.

MkMaxLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Represents an entry in a leaf node of an MkMaxTree.

MkMaxLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry

Empty constructor for serialization purposes.

MkMaxLeafEntry(DBID, D, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry

Provides a new MkMaxLeafEntry with the given parameters.

MkMaxTree<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.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(PageFile<MkMaxTreeNode<O, D>>, DistanceQuery<O, D>, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

Constructor.

MkMaxTreeFactory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Factory for MkMaxTrees

MkMaxTreeFactory(String, int, long, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeFactory

Constructor.

MkMaxTreeFactory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Parameterization class.

MkMaxTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeFactory.Parameterizer

MkMaxTreeIndex<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

MkMax tree

MkMaxTreeIndex(Relation<O>, PageFile<MkMaxTreeNode<O, D>>, DistanceQuery<O, D>, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex

Constructor.

MkMaxTreeNode<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Represents a node in an MkMaxTree.

MkMaxTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode

Empty constructor for Externalizable interface.

MkMaxTreeNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode

Creates a new MkMaxTreeNode object.

MkTabDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Represents an entry in a directory node of a MkTab-Tree.

MkTabDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry

Empty constructor for serialization purposes.

MkTabDirectoryEntry(DBID, D, Integer, D, List<D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry

Provides a new MkMaxDirectoryEntry with the given parameters.

MkTabEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Defines the requirements for an entry in an MkCop-Tree node.

MkTabLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Represents an entry in a leaf node of a MkTab-Tree.

MkTabLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry

Empty constructor for serialization purposes.

MkTabLeafEntry(DBID, D, List<D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry

Provides a new MkMaxLeafEntry with the given parameters.

MkTabTree<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.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(PageFile<MkTabTreeNode<O, D>>, DistanceQuery<O, D>, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

Constructor.

MkTabTreeFactory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Factory for MkTabTrees

MkTabTreeFactory(String, int, long, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory

Constructor.

MkTabTreeFactory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Parameterization class.

MkTabTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory.Parameterizer

MkTabTreeIndex<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

MkTabTree used as database index.

MkTabTreeIndex(Relation<O>, PageFile<MkTabTreeNode<O, D>>, DistanceQuery<O, D>, DistanceFunction<O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex

Constructor.

MkTabTreeNode<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Represents a node in a MkMax-Tree.

MkTabTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode

Empty constructor for Externalizable interface.

MkTabTreeNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode

Creates a MkTabTreeNode object.

MkTreeHeader - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Encapsulates the header information for subclasses of AbstractMkTreeUnified.

MkTreeHeader() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader

Empty constructor for serialization.

MkTreeHeader(int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader

Creates a nerw header with the specified parameters.

MkTreeRKNNQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query

Instance of a rKNN query for a particular spatial index.

MkTreeRKNNQuery(AbstractMkTree<O, D, ?, ?>, DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MkTreeRKNNQuery

Constructor.

MLBDistSplit<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split

Encapsulates the required methods for a split of a node in an M-Tree.

MLBDistSplit(N, DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MLBDistSplit

Creates a new split object.

mlogmax - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling

Minimum value (after log step, so maximum again)

mlogmax - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierMinusLogScaling

Maximum -log value seen, set by OutlierMinusLogScaling.prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult)

modCount - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.AbstractHeap

(Structural) modification counter.

modCount - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjMaxHeap

(Structural) modification counter.

modCount - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjMinHeap

(Structural) modification counter.

modCount - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap

(Structural) modification counter.

mode - Variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances

Visualization mode

mode - Variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer

Visualization mode

mode - Variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite

Blending mode to use.

mode - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Parameterizer

Drawing mode.

MODE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer

Visualization mode.

MODE_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Parameterizer

Mode for drawing: Voronoi, Delaunay, both.

model - Variable in class de.lmu.ifi.dbs.elki.data.Cluster

Cluster model.

Model - Interface in de.lmu.ifi.dbs.elki.data.model

Base interface for Model classes.

MODEL - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Cluster model type.

modelHeight - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

modelQuality - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

models - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.SODProxyScoreResult

Model result this is a proxy for.

modelWidth - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

ModifiableDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids

Interface for a generic modifiable DBID collection.

ModifiableDistanceDBIDResult<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distanceresultlist

Modifiable API for Distance-DBID results

ModifiableHierarchy<O> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy

Modifiable Hierarchy.

ModifiableHyperBoundingBox - Class in de.lmu.ifi.dbs.elki.data

MBR class allowing modifications (as opposed to HyperBoundingBox).

ModifiableHyperBoundingBox() - Constructor for class de.lmu.ifi.dbs.elki.data.ModifiableHyperBoundingBox

Constructor.

ModifiableHyperBoundingBox(SpatialComparable) - Constructor for class de.lmu.ifi.dbs.elki.data.ModifiableHyperBoundingBox

Uses the references to the fields in hbb as min, max fields.

ModifiableHyperBoundingBox(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.ModifiableHyperBoundingBox

Creates a ModifiableHyperBoundingBox for the given hyper points.

MODIFICATION_WARNING - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

MODIFICATION_WARNING - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences

moveAxis(int, int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel

shift a dimension to another position

moveAxis(int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

MoveObjectsToolVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Tool to move the currently selected objects.

MoveObjectsToolVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization

Constructor

MoveObjectsToolVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Instance.

MoveObjectsToolVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance

Constructor.

moveTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Move to the given coordinates.

moveTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Move to the given coordinates.

moveTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Move to the given coordinates.

MRadSplit<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split

Encapsulates the required methods for a split of a node in an M-Tree.

MRadSplit(N, DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MRadSplit

Creates a new split object.

msgformat - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane

Formatter for regular messages (informational records)

msgformat - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler

Formatter for regular messages (informational records)

msgStyle - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane

Regular message style

MStepLevenbergMarquardt(double, double, ArrayDBIDs, BitSet, Relation<Double>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction

M-Step using a modified Levenberg-Marquardt method.

mtag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance

Element for the marker

MTree<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

MTree is a metrical index structure based on the concepts of the M-Tree.

MTree(PageFile<MTreeNode<O, D>>, DistanceQuery<O, D>, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree

Constructor.

MTreeDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Represents an entry in a directory node of an M-Tree.

MTreeDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

Empty constructor for serialization purposes.

MTreeDirectoryEntry(DBID, D, Integer, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

Provides a new MTreeDirectoryEntry with the given parameters.

MTreeEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Defines the requirements for an entry in an M-Tree node.

MTreeFactory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

Factory for a M-Tree

MTreeFactory(String, int, long, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeFactory

Constructor.

MTreeFactory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

Parameterization class.

MTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeFactory.Parameterizer

MTreeIndex<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

Class for using an m-tree as database index.

MTreeIndex(Relation<O>, PageFile<MTreeNode<O, D>>, DistanceQuery<O, D>, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex

Constructor.

MTreeLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Represents an entry in a leaf node of an M-Tree.

MTreeLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

Empty constructor for serialization purposes.

MTreeLeafEntry(DBID, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

Provides a new MTreeLeafEntry object with the given parameters.

MTreeNode<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

Represents a node in an M-Tree.

MTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode

Empty constructor for Externalizable interface.

MTreeNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode

Creates a new MTreeNode with the specified parameters.

MTreeQueryUtil - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query

Query utility classes for MTrees.

MTreeQueryUtil() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MTreeQueryUtil

MTreeSplit<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split

Abstract super class for splitting a node in an M-Tree.

MTreeSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MTreeSplit

mu - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer

mu - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer

mu - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction

Parameter mu of the gaussian distribution (outliers)

MU_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO

Parameter to specify the smoothing factor, must be an integer greater than 0.

MU_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

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.

MultiLPNorm - Class in tutorial.distancefunction

Tutorial example for ELKI.

MultiLPNorm(double[]) - Constructor for class tutorial.distancefunction.MultiLPNorm

Constructor.

MultiLPNorm.Parameterizer - Class in tutorial.distancefunction

Parameterization class example

MultiLPNorm.Parameterizer() - Constructor for class tutorial.distancefunction.MultiLPNorm.Parameterizer

multiple - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering

Holds the value of ByLabelClustering.MULTIPLE_ID.

multiple - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering.Parameterizer

MULTIPLE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering

Flag to indicate that multiple cluster assignment is possible.

multipleAssignment(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering

Assigns the objects of the database to multiple clusters according to their labels.

MultipleFilesOutput - Class in de.lmu.ifi.dbs.elki.result.textwriter

Manage output to multiple files.

MultipleFilesOutput(File) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

Constructor

MultipleFilesOutput(File, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

Constructor

MultipleLinearRegression - Class in de.lmu.ifi.dbs.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(Vector, Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression

Provides a new multiple linear regression model with the specified parameters.

MultipleObjectsBundle - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

Constructor.

MultipleObjectsBundle(BundleMeta, List<List<?>>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

Deprecated.

multiplicativeInverse() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber

Returns the multiplicative inverse of this RationalNumber if it exists.

MultiplicativeInverseScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Scaling function to invert values basically 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 de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MultiplicativeInverseScaling

Constructor, adhering to Parameterizable

MULTIPLY - Static variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite

"Multiply" blending.

MultiStepGUI - Class in de.lmu.ifi.dbs.elki.gui.multistep

Experimenter-style multi step GUI.

MultiStepGUI() - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI

Constructor

mutation(ArrayList<AggarwalYuEvolutionary.Individuum>, double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch

Apply the mutation alogrithm.

mvs - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization

Temporary storage used during initialization.

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