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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
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.geometry.SweepHullDelaunay2D.Triangle
Center double[]
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.AutotuningPCA.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
Monte-Carlo iterations
m - Variable in class de.lmu.ifi.dbs.elki.math.statistics.LinearRegression
 
m2 - Variable in class de.lmu.ifi.dbs.elki.math.MeanVariance
n times Variance
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.
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.datastructures.BitsUtil
The magnitude is the position of the highest bit set
magnitude(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil
The magnitude is the position of the highest bit set
magnitude(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil
The magnitude is the position of the highest bit set
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(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(double[]) - 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(NumberVector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TextbookMultivariateGaussianModel
Compute the Mahalanobis distance from the centroid for a given vector.
mahalanobisDistance(NumberVector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModel
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
Matrix multiplication, (a-c)T * B * (a-c) Note: it may (or may not) be more efficient to materialize (a-c), then use transposeTimesTimes(a_minus_c, B, a_minus_c) instead.
MahalanobisDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Mahalanobis quadratic form distance for feature vectors.
MahalanobisDistanceFunction(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MahalanobisDistanceFunction
Constructor.
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.cache.PrecomputeDistancesAsciiApplication
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.experiments.VisualizeGeodesicDistances
Main method for application.
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.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.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.visualization.gui.overview.RectangleArranger
Test method.
main(String[]) - Static method in class tutorial.javaapi.GeoIndexing
 
main(String[]) - Static method in class tutorial.javaapi.PassingDataToELKI
Main method
maincls - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI
Application to configure / run.
make(Collection<String>) - Static method in class de.lmu.ifi.dbs.elki.data.LabelList
Constructor replacement.
make(Relation<? extends NumberVector>, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid
Static constructor from an existing relation.
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.datastructures.BitsUtil
Allocate a new long[].
make() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ObjHistogram.BucketFactory
 
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.
makeCheckmark(SVGPlot) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGEffects
Creates a 15x15 big checkmark
makeClockwise(List<double[]>) - 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.AbstractCutDendrogram.Instance
Make the cluster for the given object
makeCluster(DBIDRef, double, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance
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(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Turn the path buffer into an SVG element.
makeElement(SVGPlot, String) - 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(double[][]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
Build a convex hull to approximate the sphere.
makeHullComplex(double[][]) - 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.ERiC.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.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.em.TextbookMultivariateGaussianModelFactory.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModelFactory.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.parallel.ParallelGeneralizedDBSCAN.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.gdbscan.SimilarityNeighborPredicate.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.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.birch.AverageInterclusterDistance.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.AverageIntraclusterDistance.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.BIRCHLeafClustering.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CentroidEuclideanDistance.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CentroidManhattanDistance.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.DiameterCriterion.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.EuclideanDistanceCriterion.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.RadiusCriterion.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.VarianceIncreaseDistance.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.extraction.ClustersWithNoiseExtraction.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByHeight.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.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.HDBSCANLinearMemory.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.CentroidLinkage.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.CompleteLinkage.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.FlexibleBetaLinkage.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.GroupAverageLinkage.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.MedianLinkage.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.MinimumVarianceLinkage.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.SingleLinkage.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.WardLinkage.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.WeightedAverageLinkage.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMax.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMaxAnderberg.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMaxNNChain.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.NNChain.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.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.CLARANS.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FastCLARA.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FastCLARANS.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.LABInitialMeans.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.OstrovskyInitialMeans.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.ParkInitialMeans.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.RandomNormalGeneratedInitialMeans.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.RandomUniformGeneratedInitialMeans.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.KMeansAnnulus.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.KMeansCompare.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.KMeansExponion.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.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.KMeansMinusMinus.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSimplifiedElkan.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSort.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.KMedoidsFastPAM.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM1.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.KMedoidsPAMReynolds.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPark.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.Leader.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.FastDOC.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.associationrules.AssociationRuleGeneration.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.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.CBLOF.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.KNNDD.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.KNNSOS.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.distance.SOS.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.intrinsic.ISOS.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.projection.BarnesHutTSNE.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.GaussianAffinityMatrixBuilder.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.IntrinsicNearestNeighborAffinityMatrixBuilder.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.NearestNeighborAffinityMatrixBuilder.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.PerplexityAffinityMatrixBuilder.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE.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.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection.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.cache.PrecomputeDistancesAsciiApplication.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.experiments.VisualizeGeodesicDistances.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec.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.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.random.AchlioptasRandomProjectionFamily.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.projection.random.CauchyRandomProjectionFamily.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.projection.random.GaussianRandomProjectionFamily.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.projection.random.RandomSubsetProjectionFamily.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.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.FirstNStreamFilter.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.ArcCosineUnitlengthDistanceFunction.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.CosineUnitlengthDistanceFunction.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.FileBasedSparseDoubleDistanceFunction.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseFloatDistanceFunction.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.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.SparseSquaredEuclideanDistanceFunction.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.ChiDistanceFunction.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.FisherRaoDistanceFunction.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.probabilistic.TriangularDiscriminationDistanceFunction.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.TriangularDistanceFunction.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.CutDendrogramByHeightExtractor.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor.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.EvaluateDBCV.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.NoAutomaticEvaluation.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.ComputeOutlierHistogram.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.DCGEvaluation.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.NDCGEvaluation.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.distancematrix.PrecomputedSimilarityMatrix.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.NNDescent.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.AbstractMTreeSplit.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.FarthestPointsSplit.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MLBDistSplit.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MMRadSplit.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MRadSplit.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.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.AutotuningPCA.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.DropEigenPairFilter.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.LimitEigenPairFilter.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.SignificantEigenPairFilter.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.WeakEigenPairFilter.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.RANSACCovarianceMatrixBuilder.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.spacefillingcurves.BinarySplitSpatialSorter.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.PeanoSpatialSorter.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurveSpatialSorter.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.ExpGammaExpMOMEstimator.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.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.InverseGaussianMLEstimator.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.InverseGaussianMOMEstimator.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.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.WinsorizingEstimator.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.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.ExpGammaDistribution.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.InverseGaussianDistribution.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.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.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.ALIDEstimator.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.AutomaticVisualization.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.result.ExportVisualizations.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.parallel3d.layout.CompactCircularMSTLayout3DPC.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.layout.MultidimensionalScalingMSTLayout3DPC.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.layout.SimpleCircularMSTLayout3DPC.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.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.visualization.visualizers.visunproj.DendrogramVisualization.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.workflow.InputStep.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.workflow.LoggingStep.Parameterizer
 
makeInstance() - Method in class de.lmu.ifi.dbs.elki.workflow.OutputStep.Parameterizer
 
makeInstance() - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1.Parameterizer
 
makeInstance() - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2.Parameterizer
 
makeInstance() - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Parameterizer
 
makeInstance() - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Parameterizer
 
makeInstance() - Method in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer
 
makeInstance() - Method in class tutorial.distancefunction.MultiLPNorm.Parameterizer
 
makeInstance() - Method in class tutorial.outlier.DistanceStddevOutlier.Parameterizer
 
makeInstance() - Method in class tutorial.outlier.ODIN.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.FileBasedSparseDoubleDistanceFunction
Combine two integer ids into a long value.
makeKey(int, int) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseFloatDistanceFunction
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
 
makeNode(int, List<N>) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.layout.AbstractLayout3DPC
 
makeNode(int, List<CompactCircularMSTLayout3DPC.Node>) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.layout.CompactCircularMSTLayout3DPC
 
makeNode(int, List<MultidimensionalScalingMSTLayout3DPC.Node>) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.layout.MultidimensionalScalingMSTLayout3DPC
 
makeNode(int, List<SimpleCircularMSTLayout3DPC.Node>) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.layout.SimpleCircularMSTLayout3DPC
 
makeNumberFormat(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.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.AbstractObjDynamicHistogram
Make a new empty bucket for the data store.
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.ERiC.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.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.parallel.ParallelGeneralizedDBSCAN.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.gdbscan.SimilarityNeighborPredicate.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.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.birch.BIRCHLeafClustering.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByHeight.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.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.hierarchical.linkage.FlexibleBetaLinkage.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.CLARANS.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FastCLARA.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.KMeansBisecting.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMinusMinus.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSimplifiedElkan.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM.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.KMedoidsPark.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.Leader.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.FastDOC.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.itemsetmining.associationrules.AssociationRuleGeneration.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.CBLOF.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.KNNDD.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.KNNSOS.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.distance.SOS.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.intrinsic.ISOS.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.projection.BarnesHutTSNE.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.GaussianAffinityMatrixBuilder.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.IntrinsicNearestNeighborAffinityMatrixBuilder.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.PerplexityAffinityMatrixBuilder.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE.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.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection.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.cache.PrecomputeDistancesAsciiApplication.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.experiments.VisualizeGeodesicDistances.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.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.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.random.AbstractRandomProjectionFamily.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.data.projection.random.AchlioptasRandomProjectionFamily.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.FirstNStreamFilter.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.FileBasedSparseDoubleDistanceFunction.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseFloatDistanceFunction.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.CutDendrogramByHeightExtractor.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor.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.EvaluateDBCV.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.outlier.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.distancematrix.PrecomputedSimilarityMatrix.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.NNDescent.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.AbstractMTreeSplit.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.linearalgebra.pca.AutotuningPCA.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.DropEigenPairFilter.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.LimitEigenPairFilter.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.SignificantEigenPairFilter.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.WeakEigenPairFilter.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.RANSACCovarianceMatrixBuilder.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.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.WinsorizingEstimator.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExpGammaDistribution.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.InverseGaussianDistribution.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.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.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.AutomaticVisualization.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.ExportVisualizations.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.parallel3d.layout.AbstractLayout3DPC.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.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.visualization.visualizers.visunproj.DendrogramVisualization.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.workflow.InputStep.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.workflow.LoggingStep.Parameterizer
 
makeOptions(Parameterization) - Method in class de.lmu.ifi.dbs.elki.workflow.OutputStep.Parameterizer
 
makeOptions(Parameterization) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1.Parameterizer
 
makeOptions(Parameterization) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2.Parameterizer
 
makeOptions(Parameterization) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Parameterizer
 
makeOptions(Parameterization) - Method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Parameterizer
 
makeOptions(Parameterization) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer
 
makeOptions(Parameterization) - Method in class tutorial.distancefunction.MultiLPNorm.Parameterizer
 
makeOptions(Parameterization) - Method in class tutorial.outlier.DistanceStddevOutlier.Parameterizer
 
makeOptions(Parameterization) - Method in class tutorial.outlier.ODIN.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.
makePopulationMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
Obtain the covariance matrix according to the population statistics: n degrees of freedom.
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.
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) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Make DBIDs immutable.
makeUnmodifiable(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Wrap an existing DBIDs collection to be unmodifiable.
makeUnmodifiable(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
 
makeVisible() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Make the rectangle visible, for debug purposes.
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.actions.ClusterStyleAction
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization
 
makeVisualization(VisualizerContext, 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(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisualization
 
makeVisualization(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYPlotVisualization
 
makeVisualizationOrThumbnail(VisualizerContext, 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.result.AutomaticVisualization
Visualization manager.
manager - Variable in class de.lmu.ifi.dbs.elki.result.AutomaticVisualization.Parameterizer
Visualization manager.
manager - Variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations
Visualization manager.
manager - Variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations.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.
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.
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.
manhattanSegmentalDistance(NumberVector, double[], 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.gdbscan.parallel.ParallelGeneralizedDBSCAN.Instance.Mapper
 
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, Int2ObjectMap<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.
MapIntegerDBIDStore<T> - Class in de.lmu.ifi.dbs.elki.database.datastore.memory
A class to answer representation queries using a map.
MapIntegerDBIDStore(Int2ObjectMap<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.
mapMouseToPlane(Simple1DOFCamera, Point, double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.Arcball1DOFAdapter
Map the coordinates.
Mapper(NeighborPredicate.Instance<? extends T>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.parallel.ParallelGeneralizedDBSCAN.Instance.Mapper
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.
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 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.
mask - Static variable in class de.lmu.ifi.dbs.elki.utilities.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.
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.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection
Projection matrix.
mat - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared
Current similarity 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(byte[], byte, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ParseUtil
Match "inf", "infinity" in a number of different capitalizations.
matchInf(CharSequence, char, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ParseUtil
Match "inf", "infinity" in a number of different capitalizations.
matchNaN(byte[], byte, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ParseUtil
Match "NaN" in a number of different capitalizations.
matchNaN(CharSequence, char, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ParseUtil
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_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.
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.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
Parameterization class.
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.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
Parameterization class.
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 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MatrixParadigm
Distance matrix (modifiable).
matrix - Variable in class de.lmu.ifi.dbs.elki.data.projection.random.AbstractRandomProjectionFamily.MatrixProjection
Projection matrix.
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 - Variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedSimilarityMatrix
Similarity 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.DiskCacheBasedFloatDistanceFunction.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.FileBasedSparseDoubleDistanceFunction.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.FileBasedSparseFloatDistanceFunction.Parameterizer
Parameter that specifies the name of the distance matrix file.
matrixfile - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseDoubleDistanceFunction
Input file of distance matrix
matrixfile - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseDoubleDistanceFunction.Parameterizer
Input file.
matrixfile - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseFloatDistanceFunction
Input file of distance matrix
matrixfile - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseFloatDistanceFunction.Parameterizer
Input file.
MatrixParadigm - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Shared code for algorithms that work on a strict matrix paradigm.
MatrixParadigm(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MatrixParadigm
Constructor.
MatrixProjection(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.data.projection.random.AbstractRandomProjectionFamily.MatrixProjection
Constructor.
matrixsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix
Size of the matrix
MatrixWeightedQuadraticDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Matrix weighted quadratic distance, the squared form of MahalanobisDistanceFunction.
MatrixWeightedQuadraticDistanceFunction(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MatrixWeightedQuadraticDistanceFunction
Constructor.
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 - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseDoubleDistanceFunction
Minimum and maximum IDs seen.
max - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseFloatDistanceFunction
Minimum and maximum IDs seen.
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.datastructures.range.CombinedIntGenerator
Maximum value.
max - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.StaticIntGenerator
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
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_ARRAY_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray
Maximum array size permitted by Java.
MAX_ARRAY_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray
Maximum array size permitted by Java.
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
MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling.Parameterizer
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_ITER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture
Maximum number of iterations to do.
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
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.
maxDepth(Layout.Node) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.layout.AbstractLayout3DPC
Compute the depth of the graph.
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.
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.
MAXFAST - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
Maximum number of iterations of fast variant
maxheight - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult.Sorter
Maximum height.
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
maximum(int) - Static method in class de.lmu.ifi.dbs.elki.evaluation.scores.DCGEvaluation
Maximum DCG.
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.
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.
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>, 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.
MAXIT - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLMMEstimator
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.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 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPark
Holds the value of KMeans.MAXITER_ID.
maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPark.Parameterizer
 
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 - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer
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.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.
maxleaves - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory
Maximum number of leaves (absolute or relative)
maxleaves - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory.Parameterizer
Maximum number of leaves (absolute or relative)
MAXLEAVES_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory.Parameterizer
Maximum number of leaves.
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() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher
Length of longest itemset.
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
Maximum level for splitting the hypercube.
maxLevel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer
Maximum level for splitting the hypercube.
MAXLEVEL_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer
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
maxmeasure - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration
Parameter for maximum interestingness measure.
maxmeasure - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Parameterizer
Parameter for maximum interestingness measure.
MAXMEASURE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Parameterizer
Parameter to specify the maximum threshold for the interestingness measure.
maxneighbor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARANS
Sampling rate.
maxneighbor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARANS.Parameterizer
Maximum neighbors to explore.
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.
MAXTICKS - Static variable in class de.lmu.ifi.dbs.elki.math.scales.LinearScale
Maximum number of steps at which to decrease the resolution.
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.
mdist(double[], double[]) - 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.algorithm.clustering.em.TextbookMultivariateGaussianModel
Mean vector.
mean - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModel
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.InverseGaussianDistribution
Location value
mean - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.InverseGaussianDistribution.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.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
Pre-fixed minimum and mean.
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.Parameterizer
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(double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.model.MeanModel
Constructor with mean
means - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance
Cluster means.
means(List<? extends DBIDs>, double[][], Relation<? extends NumberVector>) - Static 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<double[]>, 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.
meansFromSums(double[][], double[][]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance
Compute means from cluster sums by averaging.
meansWithTreshhold(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMinusMinus.Instance
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.
MEANVISITOR - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Visitor for updating the means.
measure - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRule
Measure of the Rule.
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.AddedValue
 
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.CertaintyFactor
 
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.Confidence
 
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.Conviction
 
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.Cosine
 
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.GiniIndex
 
measure(int, int, int, int) - Method in interface de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.InterestingnessMeasure
Computes the value of the measure for a given support values
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.Jaccard
 
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.JMeasure
 
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.Klosgen
 
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.Leverage
 
measure(int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.Lift
 
Measurement(String, double, double, double, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.EvaluationResult.Measurement
Constructor.
Measurement(String, double, double, double, double, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.EvaluationResult.Measurement
Constructor.
MeasurementGroup(String) - Constructor for class de.lmu.ifi.dbs.elki.result.EvaluationResult.MeasurementGroup
Constructor.
measurements - Variable in class de.lmu.ifi.dbs.elki.result.EvaluationResult.MeasurementGroup
Measurements in this group.
median(ArrayModifiableDBIDs, Comparator<? super DBIDRef>) - Static method in class de.lmu.ifi.dbs.elki.database.ids.QuickSelectDBIDs
Compute the median of an array efficiently using the QuickSelect method.
median(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int, int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.QuickSelectDBIDs
Compute the median of an array efficiently using the QuickSelect method.
median(ModifiableDoubleDBIDList) - Static method in class de.lmu.ifi.dbs.elki.database.ids.QuickSelectDBIDs
Compute the median of an array efficiently using the QuickSelect method.
median(ModifiableDoubleDBIDList, int, int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.QuickSelectDBIDs
Compute the median of an array efficiently using the QuickSelect method.
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(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.
MedianLinkage - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage
Median-linkage — weighted pair group method using centroids (WPGMC).
MedianLinkage() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.MedianLinkage
Deprecated.
use the static instance MedianLinkage.STATIC instead.
MedianLinkage.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage
Class parameterizer.
medians(List<? extends DBIDs>, double[][], Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd.Instance
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
medoids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARANS.Assignment
Medoids
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.
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
 
menuItemClicked(int) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.SimpleMenuOverlay
Callback when a menu item was clicked.
menuOverlay - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
Menu overlay.
menuStarter - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
Handler to open the menu.
merge(Relation<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, MatrixParadigm, PointerHierarchyRepresentationBuilder, double, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES
Execute the cluster merge.
merge(int, MatrixParadigm, double[], int[], PointerHierarchyRepresentationBuilder, double, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering
Execute the cluster merge.
merge(int, MatrixParadigm, DBIDArrayMIter, PointerHierarchyRepresentationBuilder, Int2ObjectOpenHashMap<ModifiableDBIDs>, DistanceQuery<?>, int, int) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMax
Merges two clusters given by x, y, their points with smallest IDs, and y to keep
merge(int, MatrixParadigm, DBIDArrayMIter, PointerHierarchyRepresentationBuilder, Int2ObjectOpenHashMap<ModifiableDBIDs>, DistanceQuery<O>, double[], int[], int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMaxAnderberg
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.
mergeClusterInformation(ModifiableDBIDs, WritableIntegerDataStore, WritableDataStore<Assignment>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance
Merge cluster information.
mergeClusters(WritableDataStore<ArrayModifiableDBIDs>, DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Instance
Merge two clusters
mergeClusterSizes(WritableIntegerDataStore, DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Instance
Merge two clusters, size only.
mergecount - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder
Merge counter (for merge ordering).
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<ListParameterization.ParameterPair>) - 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
 
mergeOrder - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult
Merge order, useful for non-monotonous hierarchies.
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.
mergeWith(Core) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.util.Core
Merge two cores.
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.
message - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.SimpleMessageOverlay
Message to display.
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.
messageOverlay - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
Message overlay.
meta - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Instance
Metadata for printing.
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.AssociationRuleResult
Metadata of the data relation, for item labels.
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(int) - Constructor for class tutorial.clustering.SameSizeKMeansAlgorithm.Meta
Constructor.
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.Parameterizer<O extends NumberVector,N extends Node<E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
Parameterization class.
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.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.distance.distancefunction.external.FileBasedSparseDoubleDistanceFunction
Minimum and maximum IDs seen.
min - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseFloatDistanceFunction
Minimum and maximum IDs seen.
min(int, int, int) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.LevenshteinDistanceFunction
Three-way integer minimum.
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 interface de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogMOMDistributionEstimator
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.datastructures.range.CombinedIntGenerator
Minimum.
min - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.StaticIntGenerator
Minimum.
min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling
Field storing the minimum to use
min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling.Parameterizer
 
min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling
Field storing the Minimum to use
min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling.Parameterizer
Field storing the Minimum to use
min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling
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
Pre-fixed minimum and mean.
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_GAIN - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE
Minimum gain in learning rate.
MIN_GAIN - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE
Minimum gain in learning rate.
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.Parameterizer
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
Minimum loglikelihood to avoid -infinity.
MIN_PIJ - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.GaussianAffinityMatrixBuilder
Minimum value for pij entries (even when duplicate)
MIN_PIJ - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.PerplexityAffinityMatrixBuilder
Minimum value for pij entries (even when duplicate)
MIN_PTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.Parameterizer
Option ID for linkage parameter.
MIN_QIJ - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE
Minimum value for qij entries (even when duplicate)
MIN_QIJ - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE
Minimum value for qij entries (even when duplicate)
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.ClustersWithNoiseExtraction
Minimum cluster size.
minClSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Parameterizer
Minimum cluster size.
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.CutDendrogramByNumberOfClusters
Minimum number of clusters to extract
minclusters - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Parameterizer
Number of clusters to extract.
MINCLUSTERS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.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.ClustersWithNoiseExtraction.Parameterizer
The minimum size of clusters to extract.
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.
minConfidence - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm
Mininum confidence.
minConfidence - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Parameterizer
Mininum confidence.
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
Minimum dimensionality of the subspaces to be found
minDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer
Minimum dimensionality of the subspaces to be found
mindim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU
Minimum dimensionality.
mindim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer
Minimum dimensionality.
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.Parameterizer
Parameter to specify the minimum dimensionality of the subspaces to be found, must be an integer greater than 0.
MINDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer
Minimum dimensionality to generate clusters.
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, DBIDRef) - 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, DBIDRef) - 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.ArcCosineUnitlengthDistanceFunction
 
minDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction
 
minDist(SpatialComparable, SpatialComparable