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.lof.INFLO

Pruning threshold m.

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

M parameter

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.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

m to use.

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

Holds the value of AggarwalYuEvolutionary.Parameterizer.M_ID.

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

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.dependence.HiCSDependenceMeasure

Monte-Carlo iterations

m - Variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HiCSDependenceMeasure.Parameterizer

Holds the value of HiCS.Parameterizer.M_ID .

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

m1 - Variable in class de.lmu.ifi.dbs.elki.math.Mean

Mean of values - first moment.

m2 - Variable in class de.lmu.ifi.dbs.elki.math.MeanVariance

nVariance

m3 - Variable in class de.lmu.ifi.dbs.elki.math.StatisticalMoments

Third moment.

m4 - Variable in class de.lmu.ifi.dbs.elki.math.StatisticalMoments

Fourth moment.

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

Multiplier for the initial number of medoids.

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

Multiplier for the initial number of medoids.

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

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.lof.INFLO.Parameterizer

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.

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

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

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

Perform a MacQueen style iteration.

MADDistributionEstimator<D extends Distribution> - Interface in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Distribuition estimators that use the method of moments (MOM), i.e. that only need the statistical moments of a data set.

madests - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator

Median average deviation from median estimators.

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(Vector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel

Compute the Mahalanobis distance from the centroid for a given vector.

mahalanobisDistance(NumberVector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel

Compute the Mahalanobis distance from the centroid for a given vector.

mahalanobisDistance(Vector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel

Compute the Mahalanobis distance from the centroid for a given vector.

mahalanobisDistance(NumberVector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel

Compute the Mahalanobis distance from the centroid for a given vector.

mahalanobisDistance(Vector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel

Compute the Mahalanobis distance from the centroid for a given vector.

mahalanobisDistance(NumberVector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel

Compute the Mahalanobis distance from the centroid for a given vector.

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

Linear algebraic matrix multiplication, (a-c)^T * B * (a-c)

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.

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

Compute the Mahalanobis distance using the given weight matrix.

mahalanobisDistance(double[][], 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.CacheDoubleDistanceKNNLists

Main method, delegate to super class.

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

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.ClassifierHoldoutEvaluationTask

Runs the classifier evaluation task accordingly to the specified parameters.

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.experiments.EvaluateIntrinsicDimensionalityEstimators

Main method

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.EvaluatePrecomputedOutlierScores

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.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.

maincls - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Application to configure / run.

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

Main panel

make(Collection<String>) - Static method in class de.lmu.ifi.dbs.elki.data.LabelList

Constructor replacement.

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

Static Constructor from a relation.

make(long[], 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(StaticDBIDs) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.UnionFindUtil

Make a new instance (automatically choosing the best implementation).

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.

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

makeByClassOverviewWiki(Map<Class<?>, List<Parameter<?>>>, DocumentParameters.WikiStream) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

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

makeByOptOverviewWiki(Map<OptionID, List<Pair<Parameter<?>, Class<?>>>>, DocumentParameters.WikiStream) - 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, double, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy

Make the cluster for the given object

makeCluster(Relation<V>, DBIDs, long[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC

Utility method to create a subspace cluster from a list of DBIDs and the relevant attributes.

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

makeCurve() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot

Make a new curve.

makeCurve(int) - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot

Make a new curve with desired color.

makeCurve(int, int) - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot

Make a new curve with desired color.

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.

makeDescription(Cluster<?>) - 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.

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

Build a convex hull to approximate the sphere.

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

Build a convex hull to approximate the sphere.

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

Make a new individuum helper, computing sparsity=fitness

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.benchmark.ValidateApproximativeKNNIndex.Parameterizer

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.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.COPAC.Settings.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.ERiC.Settings.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.FourC.Settings.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.em.DiagonalGaussianModelFactory.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering.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.onedimensional.KNNKernelDensityMinimaClustering.Parameterizer

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.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.DOC.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.P3C.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.PreDeCon.Settings.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.clustering.uncertain.CenterOfMassMetaClustering.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuNaive.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.svm.LibSVMOneClassOutlierDetection.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.DistanceQuantileSampler.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.EstimateIntrinsicDimensionality.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.EvaluateRetrievalPerformance.Parameterizer

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.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.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.projection.FeatureSelection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection.Parameterizer

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UnweightedDiscreteUncertainifier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.WeightedDiscreteUncertainifier.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase.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.cleaning.DropNaNFilter.Parameterizer

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.VectorDimensionalityFilter.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.normalization.columnwise.AttributeWiseBetaNormalization.Parameterizer

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

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

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.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.AbstractStreamingParser.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.CategorialDataAsNumberVectorParser.Parameterizer

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

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

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

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.SimpleTransactionParser.Parameterizer

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter.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.BrayCurtisDistanceFunction.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.ClarkDistanceFunction.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.AbsolutePearsonCorrelationDistanceFunction.Parameterizer

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedSquaredPearsonCorrelationDistanceFunction.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.external.AsciiDistanceParser.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.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.histogram.HistogramMatchDistanceFunction.Parameterizer

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.Kulczynski1DistanceFunction.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction.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.set.HammingDistanceFunction.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.strings.LevenshteinDistanceFunction.Parameterizer

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction.Parameterizer

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski1SimilarityFunction.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski2SimilarityFunction.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.classification.holdout.DisjointCrossValidation.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedCrossValidation.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateVarianceRatioCriteria.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.OutlierRankingEvaluation.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.scores.AveragePrecisionEvaluation.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.MaximumF1Evaluation.Parameterizer

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.CosineHashFunctionFamily.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.EuclideanHashFunctionFamily.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.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.CachedDoubleDistanceKNNPreprocessor.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.NaiveProjectedKNNPreprocessor.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.SpacefillingKNNPreprocessor.Factory.Parameterizer

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.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.metrical.mtreevariants.strategies.split.RandomSplit.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory.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.flat.FlatRStarTreeFactory.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory.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.AdaptiveSortTileRecursiveBulkSplit.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.MaxExtensionSortTileRecursiveBulkSplit.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.SortTileRecursiveBulkSplit.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.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.geodesy.Clarke1858SpheroidEarthModel.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1880SpheroidEarthModel.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.geodesy.GRS67SpheroidEarthModel.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.geodesy.GRS80SpheroidEarthModel.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalCosineEarthModel.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalHaversineEarthModel.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalVincentyEarthModel.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.geodesy.WGS72SpheroidEarthModel.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.geodesy.WGS84SpheroidEarthModel.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.linearalgebra.randomprojections.AchlioptasRandomProjectionFamily.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWM2Estimator.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeInstance() - Method in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.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.EnsembleVotingInverseMultiplicative.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.EnsembleVotingMultiplicative.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.COPOutlierScaling.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.cluster.ClusterOutlineVisualization.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.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

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.

makeKey(int, int) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

Combine two integer ids into a long value.

makeKey(int, int) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

Combine two integer ids into a long value.

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(Object) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow.DynamicMenu

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.

makeNumberFormat(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Initialize a number format with ELKI standard options (US locale, no grouping).

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(E, 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.AbstractNumberVectorDistanceBasedAlgorithm.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.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.benchmark.ValidateApproximativeKNNIndex.Parameterizer

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

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.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.COPAC.Settings.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.ERiC.Settings.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.FourC.Settings.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.em.AbstractEMModelFactory.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering.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.onedimensional.KNNKernelDensityMinimaClustering.Parameterizer

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.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.DOC.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.P3C.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.PreDeCon.Settings.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.clustering.uncertain.CenterOfMassMetaClustering.Parameterizer

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans.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.itemsetmining.AbstractFrequentItemsetAlgorithm.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.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.svm.LibSVMOneClassOutlierDetection.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.DistanceQuantileSampler.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.EstimateIntrinsicDimensionality.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.EvaluateRetrievalPerformance.Parameterizer

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.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.ClassifierHoldoutEvaluationTask.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.experiments.EvaluateIntrinsicDimensionalityEstimators.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.EvaluatePrecomputedOutlierScores.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.data.projection.FeatureSelection.Parameterizer

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier.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.cleaning.ReplaceNaNWithRandomFilter.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.VectorDimensionalityFilter.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.normalization.columnwise.AttributeWiseBetaNormalization.Parameterizer

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

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.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.AbstractStreamingParser.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.CSVReaderFormat.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.OnedimensionalDistanceFunction.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.distancefunction.WeightedCanberraDistanceFunction.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.LaplaceKernelFunction.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.kernel.RadialBasisFunctionKernelFunction.Parameterizer

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction.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.classification.holdout.DisjointCrossValidation.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedCrossValidation.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedHoldout.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation.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.clustering.extractor.ExtractFlatClusteringFromHierarchyEvaluator.Parameterizer

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

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

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

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

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

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateVarianceRatioCriteria.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.OutlierRankingEvaluation.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.scores.PrecisionAtKEvaluation.Parameterizer

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.distancematrix.PrecomputedDistanceMatrix.Factory.Parameterizer

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.CosineHashFunctionFamily.Parameterizer

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.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.CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer

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

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.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.metrical.mtreevariants.strategies.split.RandomSplit.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory.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.rdknn.RdKNNTreeFactory.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.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.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.Parameterizer

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HiCSDependenceMeasure.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution.Parameterizer

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution.Parameterizer

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

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

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

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

makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.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.EnsembleVotingMedian.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.COPOutlierScaling.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.cluster.ClusterOutlineVisualization.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.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

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.PagedIndexFactory

Make the page file for this index.

makePair(DoubleDBIDListIter, 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.

makeReader() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.CSVReaderFormat

Make a reader for the configured format.

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.

makeSample(int) - Method in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators

Generate a data sample.

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.

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

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

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

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

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

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

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.

makeSingletonCluster(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction

Make the cluster for the given object

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, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.actions.ClusterStyleAction

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

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

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

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

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

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

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

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

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

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization

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

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

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

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

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

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

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

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

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

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

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

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

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

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization

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

Produce a visualization instance for the given task

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization

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

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisualization

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisualization

makeVisualization(VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYPlotVisualization

makeVisualizationOrThumbnail(VisualizationTask, VisualizationPlot, double, double, Projection, int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory

makeVisualizationOrThumbnail(VisualizationTask, VisualizationPlot, double, double, Projection, int) - 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.minkowski

Manhattan distance for NumberVectors.

ManhattanDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction

Deprecated.

Use static instance!

ManhattanDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Parameterization class.

ManhattanDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction.Parameterizer

ManhattanHashFunctionFamily - Class in de.lmu.ifi.dbs.elki.index.lsh.hashfamilies

2-stable hash function family for Euclidean distances.

ManhattanHashFunctionFamily(RandomFactory, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily

Constructor.

ManhattanHashFunctionFamily.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.lsh.hashfamilies

Parameterization class.

ManhattanHashFunctionFamily.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily.Parameterizer

manhattanSegmentalDistance(NumberVector, NumberVector, long[]) - 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(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor.Instance

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor.Instance

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LOFProcessor.Instance

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LRDProcessor.Instance

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.SimplifiedLRDProcessor.Instance

map - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.RetrievalPerformanceResult

MAP value

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.MapIntegerDBIDDoubleStore

Data storage.

map - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore

Data storage.

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.AbstractDoubleProcessor.Instance

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor.Instance

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor.Instance

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.KNNProcessor.Instance

map(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.parallel.processor.Processor.Instance

Process ("map") a single object

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor.Instance

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor.Instance

map(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor.Instance

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

The memory mapped buffer.

map - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore

HashMap with object values

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.

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.

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.

MarkerVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot

Instance.

MarkerVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance

Constructor.

mask - Static variable in class de.lmu.ifi.dbs.elki.math.random.FastNonThreadsafeRandom

MASK32 - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction

Bit mask for signed int to unsigned long conversion.

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, long[], 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.

maskMatrix(double[][], Distribution) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Updates the mask with replacement values for all data in the given rows and columns.

MASTER_CACHE - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner

(Non-weak) cache for all "frequently scanned" classes.

mat - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection

Projection matrix.

match(Object, Object) - Static method in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK

Test whether two relation agree.

match(Object, Object) - Static method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance

Test whether two relation agree.

matcher - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter

The filter pattern matcher

matcher - Variable in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer

Regular expression match helper.

matchInf(CharSequence, char, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Match "inf", "infinity" in a number of different capitalizations.

matchInf(byte[], byte, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Match "inf", "infinity" in a number of different capitalizations.

matchNaN(CharSequence, char, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Match "NaN" in a number of different capitalizations.

matchNaN(byte[], byte, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Match "NaN" in a number of different capitalizations.

materialize - Variable in class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory.Parameterizer

Whether to use a materialized view, or a virtual view.

materialize - Variable in class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory.Parameterizer

Whether to use a materialized view, or a virtual view.

materialize - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory

Whether to use a materialized view, or a virtual view.

materialize - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer

Whether to use a materialized view, or a virtual view.

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.

MATERIALIZE_FLAG - Static variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer

Option ID for materialization.

materialized_RkNN - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor

Additional data storage for RkNN.

MaterializedDoubleRelation - Class in de.lmu.ifi.dbs.elki.database.relation

Represents a single representation.

MaterializedDoubleRelation(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation

Constructor.

MaterializedDoubleRelation(DBIDs, String) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation

Constructor.

MaterializedDoubleRelation(DBIDs, String, DoubleDataStore) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation

Constructor.

MaterializedDoubleRelation(String, String, DoubleDataStore, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation

Constructor.

MaterializeDistances<O> - Class in de.lmu.ifi.dbs.elki.algorithm

Algorithm to materialize all the distances in a data set.

MaterializeDistances(DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances

Constructor.

MaterializeDistances.DistanceEntry - Class in de.lmu.ifi.dbs.elki.algorithm

Object representing a pairwise distance.

MaterializeDistances.DistanceEntry(DBIDPair, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances.DistanceEntry

Constructor.

MaterializeDistances.Parameterizer<O> - 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(SimpleTypeInformation<O>, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

Constructor.

MaterializedRelation(SimpleTypeInformation<O>, DBIDs, String) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

Constructor.

MaterializedRelation(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> - 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>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor

Constructor.

MaterializeKNNAndRKNNPreprocessor.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

The parameterizable factory.

MaterializeKNNAndRKNNPreprocessor.Factory(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory

Constructor.

MaterializeKNNAndRKNNPreprocessor.Factory.Parameterizer<O> - 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> - 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>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor

Constructor with preprocessing step.

MaterializeKNNPreprocessor.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

The parameterizable factory.

MaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory

Index factory.

MaterializeKNNPreprocessor.Factory.Parameterizer<O> - 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(ScoreEvaluation.Predicate<? super I>, I) - Static method in class de.lmu.ifi.dbs.elki.evaluation.scores.ROCEvaluation

Compute a ROC curve given a set of positive IDs and a sorted list of (comparable, ID)s, where the comparable object is used to decided when two objects are interchangeable.

MathUtil - Class in 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 - Variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix

Distance matrix.

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(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 - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.MatrixProjection

Projection matrix.

MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction.Parameterizer

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.Parameterizer

Parameter that specifies the name of the distance matrix file.

matrixfile - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

Input file of distance matrix

matrixfile - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction.Parameterizer

Input file.

matrixfile - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

Input file of distance matrix

matrixfile - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction.Parameterizer

Input file.

matrixsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix

Size of the matrix

MatrixWeightedDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Weighted distance for feature vectors.

MatrixWeightedDistanceFunction(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MatrixWeightedDistanceFunction

Constructor.

max - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEInterval

The maximum (right) value of this interval.

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.spatial.Polygon

Maximum values

max - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

Minimum and maximum values.

max - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Parameterizer

Minimum and maximum values.

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(double[], double[]) - 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 - Variable in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Minimum and maximum.

max - Variable in class de.lmu.ifi.dbs.elki.math.IntegerMinMax

Minimum and maximum.

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

Binary max, without handling of special values.

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

Ternary max, without handling of special values.

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

Quadrary max, without handling of special values.

max(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Binary max.

max(int, int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Ternary max.

max(int, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Quadrary max, without handling of special values.

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.HaltonUniformDistribution.Parameterizer

Parameters.

max - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution

Maximum

max - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution.Parameterizer

Parameters.

max - Variable in class de.lmu.ifi.dbs.elki.result.EvaluationResult.Measurement

Observed value, minimum, maximum, expected value.

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

Minimum and maximum values.

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling.Parameterizer

Predefined maximum value.

max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling

The maximum value

max - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar

Value, minimum and maximum values

MAX_DIMENSIONS_DEFAULT - Static variable in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory

Maximum number of dimensions to visualize.

MAX_EM_ITERATIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer

Maximum number of iterations for the EM step.

MAX_HEIGHT - Static variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot

Minimum and maximum vertical resolution.

MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Parameterizer

Option ID for maximum value.

MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution.Parameterizer

Maximum value

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.Parameterizer

Parameter to specify the fixed maximum to use.

MAX_INT_OVERFLOW - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Maximum integer that we can process without overflowing.

MAX_ITER - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel

Maximum number of iterations.

MAX_ITER - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil

Maximum number of iterations.

MAX_ITERATIONS - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary

Maximum iteration count for evolutionary search.

MAX_ITERATIONS - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution

Maximum number of iterations for regularizedGammaP.

MAX_K_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve.Parameterizer

Maximum value for k Key: -precision.k

MAX_LONG_OVERFLOW - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Maximum long that we can process without overflowing.

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.

maxDev - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier

Minimum and maximum allowed deviation.

maxDev - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Parameterizer

Minimum and maximum allowed deviation.

maxDev - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier

Minimum and maximum allowed deviation.

maxDev - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier.Parameterizer

Minimum and maximum allowed deviation.

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.typeconversions.SparseVectorFieldFilter

Maximum dimension.

maxdim - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser

Dimensionality reported.

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.

maxDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction

Maximum distance of two objects.

maxDist - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Node

Maximum distance to descendants.

maxDist - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Node

Maximum distance to descendants.

maxDistance(DoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree

Find maximum in a list via scanning.

maxDistLevel(DBID, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures

maxDist function calculate the maximal Distance from Vector p to the border of the corresponding r-region at the given level

maxDistP - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVACandidate

(Current) maximum distance of this candidate.

maxEmIterations - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C

Maximum number of iterations for the EM step.

maxEmIterations - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer

Maximum number of iterations for the EM step.

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

MaxExtensionSortTileRecursiveBulkSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk

This is variation of the SortTileRecursiveBulkSplit, incorporating some ideas from MaxExtensionBulkSplit.

MaxExtensionSortTileRecursiveBulkSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit

MaxExtensionSortTileRecursiveBulkSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk

Parameterization class.

MaxExtensionSortTileRecursiveBulkSplit.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit.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.algorithm.statistics.HopkinsStatisticClusteringTendency

Stores the maximum in each dimension.

maxima - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Stores the maximum in each dimension.

maxima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization

Stores the maximum in each dimension.

maxima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Parameterizer

Stores the maximum in each dimension.

maxima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

Stores the maximum in each dimension.

maxima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer

Stores the maximum in each dimension.

MAXIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Parameter for maximum.

MAXIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Parameterizer

Parameter for maximum.

MAXIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer

Parameter for maximum.

maximum - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepArea

Maximum value

MaximumDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Maximum distance for NumberVectors.

MaximumDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction

Deprecated.

Use static instance!

MaximumDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Parameterization class.

MaximumDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction.Parameterizer

MaximumF1Evaluation - Class in de.lmu.ifi.dbs.elki.evaluation.scores

Evaluate using the maximum F1 score.

MaximumF1Evaluation() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.MaximumF1Evaluation

MaximumF1Evaluation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.scores

Parameterization class.

MaximumF1Evaluation.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.MaximumF1Evaluation.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.

MAXIT - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator

Maximum number of iterations.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm

Maximum number of iterations.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer

Maximum number of iterations.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM

Maximum number of iterations to allow

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM.Parameterizer

Maximum number of iterations.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans

Maximum number of iterations

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.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

The maximum number of iterations.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM.Parameterizer

The maximum number of iterations.

MAXITER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering

Maximum number of iterations.

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans

Maximum number of iterations

maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans.Parameterizer

Maximum number of iterations

MAXITER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer

Parameter for the convergence factor.

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.algorithm.statistics.EvaluateRetrievalPerformance

K nearest neighbors to use for classification evaluation.

maxk - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer

Maximum k for evaluation.

maxk - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators

Benchmark parameters.

maxk - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer

Benchmark parameters.

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

Maximum value for k

MAXK_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer

Parameter for maximum value of k.

MAXK_ID - Static variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer

Final neighborhood size.

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.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm

Parameter for minimum and maximum length.

maxlength - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm.Parameterizer

Parameter for minimum and maximum length.

maxlength - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.StringLengthConstraint

Maximum length

MAXLENGTH_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm.Parameterizer

Parameter to specify the maximum itemset 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

maxMoved(List<Vector>, List<Vector>, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansElkan

Maximum distance moved.

maxMoved(List<Vector>, List<Vector>, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly

Maximum distance moved.

maxQuant - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier

Minimum and maximum number of samples.

maxQuant - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer

Minimum and maximum number of samples.

maxRegLevel(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures

Level of the maximum region containing ref but not q

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.

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.math.geometry.XYPlot

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.math.geometry.XYPlot

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.

MCEDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Compute a mutual information based dependence measure using a nested means discretization, originally proposed for ordering axes in parallel coordinate plots.

MCEDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure

MCEDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Parameterization class.

MCEDependenceMeasure.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure.Parameterizer

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.algorithm.clustering.em.DiagonalGaussianModel

Mean vector.

mean - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel

Mean vector.

mean - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel

Mean vector.

mean - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

Stores the mean in each dimension.

mean - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

Stores the mean in each dimension.

mean - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.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.index.preprocessed.knn.NaiveProjectedKNNPreprocessor

Mean number of distance computations.

mean - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

Mean number of distance computations

mean - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor

Mean number of distance computations

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.statistics.distribution.ExponentiallyModifiedGaussianDistribution

Mean value for the generator

mean - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Parameterizer

Parameters.

mean - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution.Parameterizer

Parameters.

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.math.statistics.distribution.RayleighDistribution.Parameterizer

Parameters.

mean - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution

Mean value for the generator

mean - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Parameterizer

Parameters.

mean - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution

Location value

mean - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution.Parameterizer

Parameters.

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

Effective parameters.

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.columnwise.AttributeWiseVarianceNormalization.Parameterizer

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.Parameterizer

Parameter to specify a fixed mean to use.

MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling.Parameterizer

Parameter to specify a fixed mean to use.

MeanModel - Class in de.lmu.ifi.dbs.elki.data.model

Cluster model that stores a mean for the cluster.

MeanModel(Vector) - Constructor for class de.lmu.ifi.dbs.elki.data.model.MeanModel

Constructor with mean

means(List<? extends DBIDs>, 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.

means - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor.Instance

Current mean vectors.

means - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor

Mean vectors.

means(List<? extends ModifiableDBIDs>, List<? extends NumberVector>, Relation<DiscreteUncertainObject>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans

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

MeanVarianceDistributionEstimator<D extends Distribution> - Interface in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Interface for estimators that only need mean and variance.

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.

MEANVISITOR - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Visitor for updating the means.

meanX - Variable in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Current mean for X and Y.

meanY - Variable in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Current mean for X and Y.

measurements - Variable in class de.lmu.ifi.dbs.elki.result.EvaluationResult.MeasurementGroup

Measurements in this group.

median - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization

Stores the median in each dimension.

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.

median(ModifiableDoubleDBIDList) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Compute the median of an array efficiently using the QuickSelect method.

median(ModifiableDoubleDBIDList, 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.

MedianLinkageMethod - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Median-linkage clustering method: Weighted pair group method using centroids (WPGMC).

MedianLinkageMethod() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MedianLinkageMethod

Deprecated.

use the static instance MedianLinkageMethod.STATIC instead.

MedianLinkageMethod.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Class parameterizer.

MedianLinkageMethod.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MedianLinkageMethod.Parameterizer

medians(List<? extends DBIDs>, List<Vector>, 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.

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

members - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

New ids, not yet in child clusters.

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.

MemoryPageFileFactory<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent

Page file factory for memory page files.

MemoryPageFileFactory(int) - Constructor for class de.lmu.ifi.dbs.elki.persistent.MemoryPageFileFactory

Constructor.

MemoryPageFileFactory.Parameterizer - Class in de.lmu.ifi.dbs.elki.persistent

Parameterization class.

MemoryPageFileFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.MemoryPageFileFactory.Parameterizer

menubar - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow.DynamicMenu

Menubar component

menubar - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

merge(Relation<V>, DistanceQuery<V>, 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

merge(int, double[], DBIDArrayIter, DBIDArrayIter, WritableDBIDDataStore, WritableDoubleDataStore, WritableIntegerDataStore, double, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES

Execute the cluster merge.

merge(int, double[], DBIDArrayIter, DBIDArrayIter, double[], int[], WritableDBIDDataStore, WritableDoubleDataStore, WritableIntegerDataStore, double, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering

Execute the cluster merge.

merge(DoubleMinMax) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor

Merge the result of an instance.

mergeClusterCores(int, ArrayList<P3C.Signature>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C

Merge 1-signatures into p-signatures.

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

Merge CSS classes, for example to merge two plots.

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 DoubleDBIDList>, DBIDs...) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.OnlineLOF.LOFKNNListener

Merges the ids of the query result with the specified ids.

mergeJoin(DBIDs, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Eclat

mergeSignatures(P3C.Signature, P3C.Signature, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C

Generates a merged signature of this and another one, where the other signature must be a 1-signature.

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

Constructor.

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.cleaning.VectorDimensionalityFilter

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.filter.typeconversions.ClassLabelFromPatternFilter

Current meta data

meta - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser

Metadata.

meta - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser

Metadata.

meta - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser

Metadata.

meta - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser

Metadata.

meta - Variable in class de.lmu.ifi.dbs.elki.result.FrequentItemsetsResult

Metadata of the data relation, for item labels.

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.

META_ALGORITHM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer

Parameter to hand an algorithm for creating the meta-clustering to our instance of RepresentativeUncertainClustering.

metaAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering

The algorithm for meta-clustering.

metaAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer

Field to store the inner algorithm for meta-clustering

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,N extends Node<E>,E extends MTreeEntry> - 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>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor

Constructor

MetricalIndexApproximationMaterializeKNNPreprocessor.Factory<O extends NumberVector,N extends Node<E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

The parameterizable factory.

MetricalIndexApproximationMaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory

Constructor.

MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<O extends NumberVector,N extends Node<E>,E extends MTreeEntry> - 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> - 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, ?, ?, ?>, DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexKNNQuery

Constructor.

MetricalIndexRangeQuery<O> - 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, ?, ?, ?>, DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexRangeQuery

Constructor.

MetricalIndexTree<O,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.

mfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM

Factory for producing the initial cluster model.

mgamma - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LaplaceKernelFunction

Scaling factor mgamma. (= - 1/sigma)

mib - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepDownArea

Maximum in-between value

MillisTimeDuration - Class in de.lmu.ifi.dbs.elki.logging.statistics

Class that tracks the runtime of a task with System.nanoTime()

MillisTimeDuration(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.MillisTimeDuration

Constructor.

min - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEInterval

The minimum (left) value of this interval.

min - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures

Data space minimums

min - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree

Tree parameters

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.spatial.Polygon

Minimum values

min - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

Minimum and maximum values.

min - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Parameterizer

Minimum and maximum values.

min - Variable in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Minimum and maximum.

min - Variable in class de.lmu.ifi.dbs.elki.math.IntegerMinMax

Minimum and maximum.

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

Binary min, without handling of special values.

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

Ternary min, without handling of special values.

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

Quadrary min, without handling of special values.

min(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Binary min, without handling of special values.

min(int, int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Ternary min, without handling of special values.

min(int, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Quadrary min, without handling of special values.

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(A, NumberArrayAdapter<?, A>, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractLogMOMEstimator

Utility function to find minimum and maximum values.

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.HaltonUniformDistribution.Parameterizer

Parameters.

min - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution

Minimum

min - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution.Parameterizer

Parameters.

min - Variable in class de.lmu.ifi.dbs.elki.result.EvaluationResult.Measurement

Observed value, minimum, maximum, expected value.

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

Minimum and maximum values.

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling.Parameterizer

Predefined minimum value.

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Effective parameters.

min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Parameterizer

min - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar

Value, minimum and maximum values

MIN_CLUSTER_SIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer

Minimum cluster size for noise flagging.

MIN_COLUMN_REMOVE_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch

The minimum number of columns that the database must have so that a removal of columns is performed in ChengAndChurch.multipleNodeDeletion(double[][], de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate).

MIN_HEIGHT - Static variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot

Minimum and maximum vertical resolution.

MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Parameterizer

Option ID for minimum value.

MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution.Parameterizer

Minimum value

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.Parameterizer

Parameter to specify the fixed minimum to use.

MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Parameterizer

Parameter to specify the fixed minimum to use.

MIN_LOGLIKELIHOOD - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM

MIN_PTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.Parameterizer

Option ID for linkage parameter.

MIN_ROW_REMOVE_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch

The minimum number of rows that the database must have so that a removal of rows is performed in ChengAndChurch.multipleNodeDeletion(double[][], de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate).

minBandwidth - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS

Kernel minimum bandwidth.

minBandwidth - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS.Parameterizer

Kernel minimum bandwidth.

minClSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction

Minimum cluster size.

minClSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Parameterizer

Minimum cluster size.

minClSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction

Minimum cluster size.

minClSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Parameterizer

Minimum cluster size.

minclusters - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy

Minimum number of clusters to extract

minclusters - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy.Parameterizer

Number of clusters to extract.

MINCLUSTERS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy.Parameterizer

The minimum number of clusters to extract.

minClusterSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C

Minimum cluster size for noise flagging.

minClusterSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer

Minimum cluster size for noise flagging.

MINCLUSTERSIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Parameterizer

The minimum size of clusters to extract.

MINCLUSTERSIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Parameterizer

The minimum size of clusters to extract.

minCosAngle(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil

Compute the minimum angle between two rectangles.

minDev - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier

Minimum and maximum allowed deviation.

minDev - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Parameterizer

Minimum and maximum allowed deviation.

minDev - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier

Minimum and maximum allowed deviation.

minDev - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier.Parameterizer

Minimum and maximum allowed deviation.

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

Dimensionality reported.

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.BrayCurtisDistanceFunction

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.ClarkDistanceFunction

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.histogram.HistogramMatchDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.Kulczynski1DistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LorentzianDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JensenShannonDivergenceDistanceFunction

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.subspace.OnedimensionalDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction

minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedCanberraDistanceFunction

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.GenericMTreeDistanceSearchCandidate

Minimum distance.

minDistDeg(double, double, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel

minDistDeg(double, double, double, double, double, double) - Method in interface de.lmu.ifi.dbs.elki.math.geodesy.EarthModel

Compute a lower bound for the geodetic distance point to rectangle.

minDistLevel(DBID, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures

minDist function calculate the minimal Distance from Vector p to the border of the corresponding r-region at the given level

minDistObject(SpatialComparable, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction

minDistObject(SpatialComparable, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction

minDistObject(SpatialComparable, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction

minDistObject(SpatialComparable, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction

minDistP - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVACandidate

(Current) minimum distance of this candidate.

minDistRad(double, double, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel

minDistRad(double, double, double, double, double, double) - Method in interface de.lmu.ifi.dbs.elki.math.geodesy.EarthModel

Compute a lower bound for the geodetic distance point to rectangle.

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.algorithm.statistics.HopkinsStatisticClusteringTendency

Stores the minimum in each dimension.

minima - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Stores the minimum in each dimension.

minima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization

Stores the minimum in each dimension.

minima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Parameterizer

Stores the minimum in each dimension.

minima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

Stores the minimum in each dimension.

minima - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer

Stores the minimum in each dimension.

MINIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Parameter for minimum.

MINIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Parameterizer

Parameter for minimum.

MINIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer

Parameter for minimum.

MinimalisticMemoryKDTree<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Simple implementation of a static in-memory K-D-tree.

MinimalisticMemoryKDTree(Relation<O>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree

Constructor.

MinimalisticMemoryKDTree.CountSortAccesses - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Class to count object accesses during construnction.

MinimalisticMemoryKDTree.CountSortAccesses(Counter, Relation<? extends NumberVector>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.CountSortAccesses

Constructor.

MinimalisticMemoryKDTree.Factory<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Factory class

MinimalisticMemoryKDTree.Factory() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory

Constructor.

MinimalisticMemoryKDTree.Factory(int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory

Constructor.

MinimalisticMemoryKDTree.Factory.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Parameterization class.

MinimalisticMemoryKDTree.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Parameterizer

MinimalisticMemoryKDTree.KDTreeKNNQuery - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

kNN query for the k-d-tree.

MinimalisticMemoryKDTree.KDTreeKNNQuery(DistanceQuery<O>, Norm<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreeKNNQuery

Constructor.

MinimalisticMemoryKDTree.KDTreeRangeQuery - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

kNN query for the k-d-tree.

MinimalisticMemoryKDTree.KDTreeRangeQuery(DistanceQuery<O>, Norm<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreeRangeQuery

Constructor.

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.Parameterizer

Parameter for the relative minimum fill.

MinimumDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Maximum distance for NumberVectors.

MinimumDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction

Deprecated.

Use static instance!

MinimumDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Parameterization class.

MinimumDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction.Parameterizer

MinimumEnlargementInsert<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.insert

Default insertion strategy for the M-tree.

MinimumEnlargementInsert() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.insert.MinimumEnlargementInsert

minlength - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm

Parameter for minimum and maximum length.

minlength - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm.Parameterizer

Parameter for minimum and maximum length.

minlength - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.StringLengthConstraint

Minimum length

MINLENGTH_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm.Parameterizer

Parameter to specify the minimum itemset 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 - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor.Instance

The central data store.

minmax - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor

The central data store.

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.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.correlation.COPAC.Settings

MinPts parameter.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Settings

Minimum neighborhood size (density).

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Settings

MinPts / mu parameter.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Holds the minimum cluster size.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN.Parameterizer

Holds the minimum cluster size.

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.hierarchical.AbstractHDBSCAN

MinPts parameter.

minPts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.Parameterizer

Minimum size of core.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.AbstractOPTICS

The density threshold, in number of points.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.AbstractOPTICS.Parameterizer

Minimum number of points.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu

Density threshold in number of objects.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.Parameterizer

minPts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS

MinPts parameter.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS.Parameterizer

Minimum number of neighbors for density estimation.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Minimum number of clusters for connectedness.

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.PreDeCon.Settings

DBSCAN Minpts parameter, aka "mu".

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.clustering.uncertain.FDBSCAN.Parameterizer

MinPts of DBSCAN.

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_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.Parameterizer

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.optics.AbstractOPTICS.Parameterizer

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.optics.DeLiClu.Parameterizer

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.SNNClustering.Parameterizer

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

minQuant - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier

Minimum and maximum number of samples.

minQuant - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer

Minimum and maximum number of samples.

minRegLevel(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.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.

minSplitSize - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

minimum size for which a point set is further partitioned (roughly corresponds to minPts in OPTICS)

minsupp - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm

Minimum support.

minsupp - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm.Parameterizer

Parameter for minimum support.

MINSUPP_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm.Parameterizer

Parameter to specify the minimum support, in absolute or relative terms.

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.application.greedyensemble.GreedyEnsembleExperiment

Minimum votes.

minwindow - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering

Window width, for local minima criterions.

minwindow - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering.Parameterizer

Window width, for local minima criterions.

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.math.geometry.XYPlot

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.math.geometry.XYPlot

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.datastructures.iterator

Modifiable iterator, that also supports removal.

mixHashCodes(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Deprecated.

mixHashCodes(int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Mix multiple hashcodes into one.

mixHashCodes(int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Mix multiple hashcodes into one.

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 - 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, double, Integer, double, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry

Constructor.

MkAppEntry - 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 - 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, double, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry

Constructor.

MkAppTree<O> - 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(Relation<O>, PageFile<MkAppTreeNode<O>>, MkAppTreeSettings<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Constructor.

MkAppTreeFactory<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Factory for a MkApp-Tree

MkAppTreeFactory(PageFileFactory<?>, MkAppTreeSettings<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory

Constructor.

MkAppTreeFactory.Parameterizer<O> - 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> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

MkAppTree used as database index.

MkAppTreeIndex(Relation<O>, PageFile<MkAppTreeNode<O>>, MkAppTreeSettings<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex

Constructor.

MkAppTreeNode<O> - 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.

MkAppTreeSettings<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Settings class for the MkApp Tree.

MkAppTreeSettings() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeSettings

MkCoPDirectoryEntry - 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, double, Integer, double, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry

Constructor.

MkCoPEntry - 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 - 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, double, ApproximationLine, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry

Constructor.

MkCoPTree<O> - 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(Relation<O>, PageFile<MkCoPTreeNode<O>>, MkTreeSettings<O, MkCoPTreeNode<O>, MkCoPEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

Constructor.

MkCopTreeFactory<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Factory for a MkCoPTree-Tree

MkCopTreeFactory(PageFileFactory<?>, MkTreeSettings<O, MkCoPTreeNode<O>, MkCoPEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory

Constructor.

MkCopTreeFactory.Parameterizer<O> - 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> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

MkCoPTree used as database index.

MkCoPTreeIndex(Relation<O>, PageFile<MkCoPTreeNode<O>>, MkTreeSettings<O, MkCoPTreeNode<O>, MkCoPEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex

Constructor.

MkCoPTreeNode<O> - 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 - 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, double, Integer, double, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry

Constructor.

MkMaxEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Defines the requirements for an entry in an MkMaxTreeNode .

MkMaxLeafEntry - 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, double, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry

Constructor.

MkMaxTree<O> - 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(Relation<O>, PageFile<MkMaxTreeNode<O>>, MkTreeSettings<O, MkMaxTreeNode<O>, MkMaxEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

Constructor.

MkMaxTreeFactory<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Factory for MkMaxTrees

MkMaxTreeFactory(PageFileFactory<?>, MkTreeSettings<O, MkMaxTreeNode<O>, MkMaxEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeFactory

Constructor.

MkMaxTreeFactory.Parameterizer<O> - 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> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

MkMax tree

MkMaxTreeIndex(Relation<O>, PageFile<MkMaxTreeNode<O>>, MkTreeSettings<O, MkMaxTreeNode<O>, MkMaxEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex

Constructor.

MkMaxTreeNode<O> - 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 - 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, double, Integer, double, double[]) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry

Constructor.

MkTabEntry - 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 - 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, double, double[]) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry

Constructor.

MkTabTree<O> - 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(Relation<O>, PageFile<MkTabTreeNode<O>>, MkTreeSettings<O, MkTabTreeNode<O>, MkTabEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

Constructor.

MkTabTreeFactory<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Factory for MkTabTrees

MkTabTreeFactory(PageFileFactory<?>, MkTreeSettings<O, MkTabTreeNode<O>, MkTabEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory

Constructor.

MkTabTreeFactory.Parameterizer<O> - 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> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

MkTabTree used as database index.

MkTabTreeIndex(Relation<O>, PageFile<MkTabTreeNode<O>>, MkTreeSettings<O, MkTabTreeNode<O>, MkTabEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex

Constructor.

MkTabTreeNode<O> - 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> - 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, ?, ?, ?>, DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MkTreeRKNNQuery

Constructor.

MkTreeSettings<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Class with settings for MkTrees.

MkTreeSettings() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeSettings

MLBDistSplit<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split

Encapsulates the required methods for a split of a node in an M-Tree.

MLBDistSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.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)

MMRadSplit<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split

Encapsulates the required methods for a split of a node in an M-Tree.

MMRadSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MMRadSplit

Creates a new split object.

mod - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter

Modulo value for splitting.

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.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering

Estimation modes.

mode - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering.Parameterizer

Estimation modes.

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.gui.util.ParameterTable.FileNameEditor

File selector mode.

mode - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization

Visualization mode.

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.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy.Parameterizer

Extraction mode to use.

MODE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering.Parameterizer

KDE 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() - Method in interface de.lmu.ifi.dbs.elki.algorithm.classification.Classifier

Produce a String representation of the classification model.

model() - Method in class de.lmu.ifi.dbs.elki.algorithm.classification.KNNClassifier

model() - Method in class de.lmu.ifi.dbs.elki.algorithm.classification.PriorProbabilityClassifier

model - Variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances

Earth model.

model - Variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer

Earth model to use.

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 - Variable in class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection

Earth model to use.

model - Variable in class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection.Parameterizer

Earth model to use.

model - Variable in class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection

Earth model to use

model - Variable in class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection.Parameterizer

Earth model to use.

MODEL - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Cluster model type.

model - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LatLngToECEFFilter

Earth model to use.

model - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LatLngToECEFFilter.Parameterizer

Earth model to use.

model - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LngLatToECEFFilter

Earth model to use.

model - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LngLatToECEFFilter.Parameterizer

Earth model to use.

model - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction

Earth model used.

model - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer

Earth model used.

model - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction

Earth model to use.

model - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction.Parameterizer

Earth model used.

model - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction

Earth model to use.

model - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction.Parameterizer

Earth model used.

model - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor

Tree model

model - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup

Tree model.

model - Variable in class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory.Parameterizer

Earth model to use.

model - Variable in class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory.Parameterizer

Earth model to use.

MODEL_ID - Static variable in interface de.lmu.ifi.dbs.elki.math.geodesy.EarthModel

Parameter to choose the earth model to use.

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.COP

Include models in output.

models - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer

Include COP models

models - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD

Report models.

models - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer

Track models.

MODELS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer

Include COP error vectors in output.

MODELS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer

Parameter for keeping the models.

ModelUtil - Class in de.lmu.ifi.dbs.elki.data.model

Utility classes for dealing with cluster models.

ModelUtil() - Constructor for class de.lmu.ifi.dbs.elki.data.model.ModelUtil

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.

ModifiableDoubleDBIDList - Interface in de.lmu.ifi.dbs.elki.database.ids

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

Derive a bounding box from a spatial object.

ModifiableHyperBoundingBox(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.ModifiableHyperBoundingBox

Creates a ModifiableHyperBoundingBox for the given hyper points.

ModifiableHyperBoundingBox(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.data.ModifiableHyperBoundingBox

Create a ModifiableHyperBoundingBox with given min and max.

ModifiableRelation<O> - Interface in de.lmu.ifi.dbs.elki.database.relation

Relations that allow modification.

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

MOMDistributionEstimator<D extends Distribution> - Interface in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Distribuition estimators that use the method of moments (MOM), i.e. that only need the statistical moments of a data set.

MOMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Methods of moments estimator, using the first moment (i.e. average).

MOMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.MOMEstimator

MOMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Parameterization class.

MOMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.MOMEstimator.Parameterizer

momests - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator

Mean and variance based estimators.

mouseClicked(MouseEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler

mouseEntered(MouseEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler

mouseExited(MouseEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler

mousePressed(MouseEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler

mouseReleased(MouseEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler

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, VisualizationPlot, double, double, Projection) - 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,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split

Encapsulates the required methods for a split of a node in an M-Tree.

MRadSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MRadSplit

Creates a new split object.

mref - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel

Temporary storage, to avoid reallocations.

mref - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel

Temporary storage, to avoid reallocations.

mref - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel

Temporary storage, to avoid reallocations.

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, long[], DoubleRelation) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction

M-Step using a modified Levenberg-Marquardt method.

MStepLevenbergMarquardt(double, double, long[], A, NumberArrayAdapter<?, A>) - 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> - 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>>, MTreeSettings<O, MTreeNode<O>, MTreeEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree

Constructor.

MTreeDirectoryEntry - 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, double, Integer, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

Constructor.

MTreeEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Defines the requirements for an entry in an M-Tree node.

MTreeFactory<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

Factory for a M-Tree

MTreeFactory(PageFileFactory<?>, MTreeSettings<O, MTreeNode<O>, MTreeEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeFactory

Constructor.

MTreeFactory.Parameterizer<O> - 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> - 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>>, MTreeSettings<O, MTreeNode<O>, MTreeEntry>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex

Constructor.

MTreeInsert<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.insert

Default insertion strategy for the M-tree.

MTreeLeafEntry - 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, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

Constructor.

MTreeNode<O> - 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

MTreeSettings<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Class to store the MTree settings.

MTreeSettings() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeSettings

MTreeSplit<O,N extends AbstractMTreeNode<O,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.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.strategies.split.MTreeSplit

mu - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO

Mu parameter.

mu - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer

Mu parameter

mu - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

OPTICS minPts parameter.

mu - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer

mu - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution

Parameters (location, scale, shape)

mu - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution.Parameterizer

Parameters.

mu - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution

Parameters (location, scale, shape)

mu - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution.Parameterizer

Parameters.

mu - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution

Mode parameter mu.

mu - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution.Parameterizer

Parameters.

mu - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution

Location parameter.

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.Parameterizer

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.Parameterizer

Parameter that specifies the a minimum number of points as a smoothing factor to avoid the single-link-effect, must be an integer greater than 0.

MULT_MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer

Maximum quantity of generated samples.

MULT_MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer

Minimum quantity of generated samples.

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

Constructor.

multipleNodeDeletion(double[][], ChengAndChurch.BiclusterCandidate) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch

Algorithm 2 of Cheng and Church.

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.

MultipleObjectsBundleDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource

Data source to feed a precomputed MultipleObjectsBundle into a database.

MultipleObjectsBundleDatabaseConnection(MultipleObjectsBundle) - Constructor for class de.lmu.ifi.dbs.elki.datasource.MultipleObjectsBundleDatabaseConnection

Constructor.

MultipleProjectionsLocalitySensitiveHashFunction - Class in de.lmu.ifi.dbs.elki.index.lsh.hashfunctions

LSH hash function for vector space data.

MultipleProjectionsLocalitySensitiveHashFunction(RandomProjectionFamily.Projection, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction

Constructor.

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.

multiplicity - Variable in class de.lmu.ifi.dbs.elki.data.type.MultivariateSeriesTypeInformation

Number of variates per dimension.

multiplicity - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization

Multiplicity of the vector.

multiplicity - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

Multiplicity of the vector.

multiplier - Static variable in class de.lmu.ifi.dbs.elki.math.random.FastNonThreadsafeRandom

multiply(double[][], double[], double[]) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform

Compute out = A * in, and return the (signed!)

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

MULTIVARIATE_SERIES - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Type request for multivariate time series.

MultivariateGaussianModel - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Model for a single Gaussian cluster.

MultivariateGaussianModel(double, Vector) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel

Constructor.

MultivariateGaussianModel(double, Vector, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel

Constructor.

MultivariateGaussianModelFactory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Factory for EM with multivariate gaussian models (with covariance; also known as Gaussian Mixture Modeling, GMM).

MultivariateGaussianModelFactory(KMeansInitialization<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModelFactory

Constructor.

MultivariateGaussianModelFactory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Parameterization class

MultivariateGaussianModelFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModelFactory.Parameterizer

MultivariateSeriesTypeInformation<V extends FeatureVector<?>> - Class in de.lmu.ifi.dbs.elki.data.type

Type information for multi-variate time series.

MultivariateSeriesTypeInformation(Class<? super V>, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.data.type.MultivariateSeriesTypeInformation

Constructor for an actual type.

MultivariateSeriesTypeInformation(FeatureVector.Factory<V, ?>, ByteBufferSerializer<? super V>, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.data.type.MultivariateSeriesTypeInformation

Constructor for an actual type.

multivariateStandardization(double[]) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization

MultivariateTimeSeriesFilter<V extends FeatureVector<?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter.typeconversions

Class to "fold" a flat number vector into a multivariate time series.

MultivariateTimeSeriesFilter(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.MultivariateTimeSeriesFilter

Constructor.

MultivariateTimeSeriesFilter.Parameterizer<V extends FeatureVector<?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter.typeconversions

Parameterization class.

MultivariateTimeSeriesFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.MultivariateTimeSeriesFilter.Parameterizer

MutableProgress - Class in de.lmu.ifi.dbs.elki.logging.progress

Progress class with a moving target.

MutableProgress(String, int, Logging) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.MutableProgress

Constructor with logging.

mutation(ArrayList<AggarwalYuEvolutionary.Individuum>, double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Apply the mutation algorithm.

MutualInformationEquiwidthDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Mutual Information (MI) dependence measure by dividing each attribute into equal-width bins.

MutualInformationEquiwidthDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.MutualInformationEquiwidthDependenceMeasure

Constructor - use MutualInformationEquiwidthDependenceMeasure.STATIC instance.

MutualInformationEquiwidthDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Parameterization class.

MutualInformationEquiwidthDependenceMeasure.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.MutualInformationEquiwidthDependenceMeasure.Parameterizer

mvCorDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate

Tool to help with parameterization.

mvs - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

Temporary storage used during initialization.

mvs - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

Temporary storage used during initialization.

mvSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate

Tool to help with parameterization.

mvSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate

Tool to help with parameterization.

mvSize2 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate

Tool to help with parameterization.

mvVar - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate

Tool to help with parameterization.

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