- n - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch
-
Number of biclusters to be found.
- n - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.Parameterizer
-
Number of biclusters to be found.
- n - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut
-
Number of outliers to compute exactly
- n - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.Parameterizer
-
Top-n candidates to compute exactly
- n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.CholeskyDecomposition
-
Row and column dimension (square matrix).
- n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
-
Row and column dimension (square matrix).
- n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition
-
Row and column dimensions, and pivot sign.
- n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter
-
The threshold for strong eigenvectors: n eigenvectors with the n highest
eigenvalues are marked as strong eigenvectors.
- n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter.Parameterizer
-
The number of eigenpairs to keep.
- n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition
-
Row and column dimensions.
- n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition
-
Row and column dimensions.
- n - Variable in class de.lmu.ifi.dbs.elki.math.Mean
-
Weight sum (number of samples).
- n - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution
-
Number of tries
- n - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution.Parameterizer
-
Number of trials.
- N_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.Parameterizer
-
Number of biclusters to be found.
- N_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.Parameterizer
-
Parameter to specify how many outliers should be computed
- N_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution.Parameterizer
-
Number of trials.
- N_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints
-
Parameter to specify the number of requested reference points.
- N_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints
-
Parameter to specify the sample size.
- n_star - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut
-
Set sizes, total and current iteration
- NaiveAgglomerativeHierarchicalClustering<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
-
This tutorial will step you through implementing a well known clustering
algorithm, agglomerative hierarchical clustering, in multiple steps.
- NaiveAgglomerativeHierarchicalClustering(DistanceFunction<? super O, D>, LinkageMethod) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.NaiveAgglomerativeHierarchicalClustering
-
Constructor.
- NaiveAgglomerativeHierarchicalClustering.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
-
Parameterization class
- NaiveAgglomerativeHierarchicalClustering.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.NaiveAgglomerativeHierarchicalClustering.Parameterizer
-
- NaiveAgglomerativeHierarchicalClustering1<O,D extends NumberDistance<D,?>> - Class in tutorial.clustering
-
This tutorial will step you through implementing a well known clustering
algorithm, agglomerative hierarchical clustering, in multiple steps.
- NaiveAgglomerativeHierarchicalClustering1(DistanceFunction<? super O, D>, int) - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1
-
Constructor.
- NaiveAgglomerativeHierarchicalClustering1.Parameterizer<O,D extends NumberDistance<D,?>> - Class in tutorial.clustering
-
Parameterization class
- NaiveAgglomerativeHierarchicalClustering1.Parameterizer() - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1.Parameterizer
-
- NaiveAgglomerativeHierarchicalClustering2<O,D extends NumberDistance<D,?>> - Class in tutorial.clustering
-
This tutorial will step you through implementing a well known clustering
algorithm, agglomerative hierarchical clustering, in multiple steps.
- NaiveAgglomerativeHierarchicalClustering2(DistanceFunction<? super O, D>, int) - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2
-
Constructor.
- NaiveAgglomerativeHierarchicalClustering2.Parameterizer<O,D extends NumberDistance<D,?>> - Class in tutorial.clustering
-
Parameterization class
- NaiveAgglomerativeHierarchicalClustering2.Parameterizer() - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2.Parameterizer
-
- NaiveAgglomerativeHierarchicalClustering3<O,D extends NumberDistance<D,?>> - Class in tutorial.clustering
-
This tutorial will step you through implementing a well known clustering
algorithm, agglomerative hierarchical clustering, in multiple steps.
- NaiveAgglomerativeHierarchicalClustering3(DistanceFunction<? super O, D>, int, NaiveAgglomerativeHierarchicalClustering3.Linkage) - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3
-
Constructor.
- NaiveAgglomerativeHierarchicalClustering3.Linkage - Enum in tutorial.clustering
-
Different linkage strategies.
- NaiveAgglomerativeHierarchicalClustering3.Linkage() - Constructor for enum tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Linkage
-
- NaiveAgglomerativeHierarchicalClustering3.Parameterizer<O,D extends NumberDistance<D,?>> - Class in tutorial.clustering
-
Parameterization class
- NaiveAgglomerativeHierarchicalClustering3.Parameterizer() - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Parameterizer
-
- NaiveAgglomerativeHierarchicalClustering4<O,D extends NumberDistance<D,?>> - Class in tutorial.clustering
-
This tutorial will step you through implementing a well known clustering
algorithm, agglomerative hierarchical clustering, in multiple steps.
- NaiveAgglomerativeHierarchicalClustering4(DistanceFunction<? super O, D>, NaiveAgglomerativeHierarchicalClustering4.Linkage) - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4
-
Constructor.
- NaiveAgglomerativeHierarchicalClustering4.Linkage - Enum in tutorial.clustering
-
Different linkage strategies.
- NaiveAgglomerativeHierarchicalClustering4.Linkage() - Constructor for enum tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Linkage
-
- NaiveAgglomerativeHierarchicalClustering4.Parameterizer<O,D extends NumberDistance<D,?>> - Class in tutorial.clustering
-
Parameterization class
- NaiveAgglomerativeHierarchicalClustering4.Parameterizer() - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Parameterizer
-
- NaiveMeanShiftClustering<V extends NumberVector<?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
-
Mean-shift based clustering algorithm.
- NaiveMeanShiftClustering(DistanceFunction<? super V, D>, KernelDensityFunction, D) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering
-
Constructor.
- NaiveMeanShiftClustering.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
-
Parameterizer.
- NaiveMeanShiftClustering.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering.Parameterizer
-
- name - Variable in class de.lmu.ifi.dbs.elki.data.Cluster
-
Cluster name.
- name - Variable in class de.lmu.ifi.dbs.elki.data.ExternalID
-
Object name
- name - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
-
Cluster name
- name - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorStatic
-
Cluster name
- name - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation
-
The relation name.
- name - Variable in class de.lmu.ifi.dbs.elki.result.BasicResult
-
Result name, for presentation
- name - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID
-
Option name
- name - Variable in class de.lmu.ifi.dbs.elki.visualization.colors.ListBasedColorLibrary
-
Color scheme name
- name - Variable in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass
-
CSS class name
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
-
A short name characterizing this Visualizer.
- name - Variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary
-
Style scheme name
- name - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
-
Name
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer
-
Name for this visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer
-
CircleSegments visualizer name
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization
-
A short name characterizing this Visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.ClusterEvaluationVisualization
-
Name for this visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualization
-
Histogram visualizer name
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization
-
Name for this visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer
-
Name for this visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisualization
-
Name for this visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer
-
Name for this visualizer.
- NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisualization
-
Name for this visualizer.
- NAME_CLASS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization
-
A short name characterizing this Visualizer.
- NAME_EID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization
-
A short name characterizing this Visualizer.
- NAME_GEN - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization
-
A short name characterizing this Visualizer.
- NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization
-
A short name characterizing this Visualizer.
- NAME_LABEL - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization
-
A short name characterizing this Visualizer.
- namecount - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.naming.SimpleEnumeratingScheme
-
count how often each name occurred so far.
- names - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.naming.SimpleEnumeratingScheme
-
Assigned cluster names.
- NamingScheme - Interface in de.lmu.ifi.dbs.elki.result.textwriter.naming
-
Naming scheme implementation for clusterings.
- NanoDuration - Class in de.lmu.ifi.dbs.elki.logging.statistics
-
Class that tracks the runtime of a task with System.nanoTime()
- NanoDuration(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.NanoDuration
-
Constructor.
- nanpattern - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser
-
Pattern for NaN values.
- needToInferCaller - Variable in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord
-
Flag whether we still need to infer the caller.
- negative - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFromPatternFilter
-
Label to return for negative matches.
- negative - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFromPatternFilter.Parameterizer
-
Names for positive and negative classes.
- NEGATIVE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFromPatternFilter.Parameterizer
-
Class label to assign to negative instances.
- NEIGHBORHOOD_FILE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood
-
Parameter to specify the neighborhood file
- NEIGHBORHOOD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier
-
Parameter to specify the neighborhood predicate to use.
- NEIGHBORHOOD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer
-
Parameter to specify the neighborhood predicate to use.
- NEIGHBORHOOD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer
-
Parameter to specify the neighborhood predicate to use.
- neighborhoodDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.Parameterizer
-
Neighborhood distance function.
- NEIGHBORHOODPRED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer
-
Parameter for neighborhood predicate.
- NEIGHBORLIST - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
-
A list of neighbors.
- NeighborPredicate - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
-
Get the neighbors of an object
Note the Factory/Instance split of this interface.
- NeighborPredicate.Instance<T> - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
-
Instance for a particular data set.
- NeighborSetPredicate - Interface in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood
-
Predicate to obtain the neighbors of a reference object as set.
- NeighborSetPredicate.Factory<O> - Interface in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood
-
Factory interface to produce instances.
- newArray() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a new (modifiable) array of DBIDs.
- newArray(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a new (modifiable) array of DBIDs.
- newArray(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a new (modifiable) array of DBIDs.
- newArray() - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a new (modifiable) array of DBIDs.
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a new (modifiable) array of DBIDs.
- newArray(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a new (modifiable) array of DBIDs.
- newArray() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newArray(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newArray(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax
-
Generate a new array of initialized DoubleMinMax objects (with default
constructor)
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax
-
Generate a new array of initialized IntegerMinMax objects (with default
constructor)
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.math.Mean
-
Create and initialize a new array of MeanVariance
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.math.MeanVariance
-
Create and initialize a new array of MeanVariance
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax
-
Create and initialize a new array of MeanVarianceMinMax
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.math.MinMax
-
New array of MinMax objects for a given type.
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.math.StatisticalMoments
-
Create and initialize a new array of MeanVariance
- newArray(Class<? extends T>, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
-
Make a new array of the given class and size.
- newArray(T[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
-
Clone an array of the given type.
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.CPair
-
Array constructor for generics
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.FCPair
-
Array constructor for generics
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.SCPair
-
Array constructor for generics
- newArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.Triple
-
Array constructor for generics
- newArrayOfEmptyArrayList(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
-
Create an array of len empty ArrayLists.
- newArrayOfEmptyHashSet(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
-
Create an array of len empty HashSets.
- newArrayOfNull(int, Class<T>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
-
Create an array (of null values)
This is a common unchecked cast we have to do due to Java Generics
limitations.
- newContext(HierarchicalResult) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer
-
Make a new visualization context
- newCounter(String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
-
Generate a new counter.
- newDistancePair(D, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a new distance-DBID pair.
- newDistancePair(double, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a new distance-DBID pair.
- newDistancePair(D, DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a DistanceDBIDPair.
- newDistancePair(double, DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a DoubleDistanceDBIDPair.
- newDistancePair(D, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newDistancePair(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newDoubleDistanceHeap(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Create an appropriate heap for double distances.
- newDoubleDistanceHeap(int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Create an appropriate heap for double distances.
- newDoubleDistanceHeap(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newDuration(String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
-
Generate a new duration statistic.
- newe - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer
-
- newFeatureVector(A, ArrayAdapter<Bit, A>) - Method in class de.lmu.ifi.dbs.elki.data.BitVector.Factory
-
- newFeatureVector(A, ArrayAdapter<Byte, A>) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.Factory
-
- newFeatureVector(A, ArrayAdapter<Double, A>) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.Factory
-
- newFeatureVector(A, ArrayAdapter<D, A>) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector.Factory
-
Returns a new FeatureVector of V for the given values.
- newFeatureVector(A, ArrayAdapter<Float, A>) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.Factory
-
- newFeatureVector(A, ArrayAdapter<Integer, A>) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.Factory
-
- newFeatureVector(A, ArrayAdapter<Double, A>) - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector.Factory
-
- newFeatureVector(A, ArrayAdapter<Short, A>) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector.Factory
-
- newFeatureVector(A, ArrayAdapter<Byte, A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector.Factory
-
- newFeatureVector(A, ArrayAdapter<Double, A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.Factory
-
- newFeatureVector(A, ArrayAdapter<Float, A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector.Factory
-
- newFeatureVector(A, ArrayAdapter<Integer, A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.Factory
-
- newFeatureVector(A, ArrayAdapter<Short, A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector.Factory
-
- newHashSet() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a new (modifiable) hash set of DBIDs.
- newHashSet(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a new (modifiable) hash set of DBIDs.
- newHashSet(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a new (modifiable) hash set of DBIDs.
- newHashSet() - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a new (modifiable) hash set of DBIDs.
- newHashSet(int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a new (modifiable) hash set of DBIDs.
- newHashSet(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a new (modifiable) hash set of DBIDs.
- newHashSet() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newHashSet(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newHashSet(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newHeap(D, int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Create an appropriate heap for the distance function.
- newHeap(KNNList<D>) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Build a new heap from a given list.
- newHeap(D, int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Create an appropriate heap for the distance type.
- newHeap(KNNList<D>) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Build a new heap from a given list.
- newHeap(D, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newHeap(KNNList<D>) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newInstance(T) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
-
Generic newInstance that tries to clone an object.
- NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication
-
The newline string according to system.
- newline - Variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream
-
- NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI
-
Newline used in output.
- NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger
-
Newline string.
- NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
-
System newline character(s)
- NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
The system newline setting.
- NEWLINEC - Static variable in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger
-
Newline as char array.
- newNumberVector(double[]) - Method in class de.lmu.ifi.dbs.elki.data.AbstractNumberVector.Factory
-
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.BitVector.Factory
-
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.Factory
-
- newNumberVector(double[]) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.Factory
-
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.Factory
-
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.Factory
-
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.Factory
-
- newNumberVector(double[]) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector.Factory
-
Returns a new NumberVector of N for the given values.
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector.Factory
-
Instantiate from any number-array like object.
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector.Factory
-
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector.Factory
-
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector.Factory
-
- newNumberVector(TIntDoubleMap, int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector.Factory
-
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.Factory
-
- newNumberVector(TIntDoubleMap, int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.Factory
-
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector.Factory
-
- newNumberVector(TIntDoubleMap, int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector.Factory
-
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.Factory
-
- newNumberVector(TIntDoubleMap, int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.Factory
-
- newNumberVector(TIntDoubleMap, int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector.Factory
-
Returns a new NumberVector of N for the given values.
- newNumberVector(A, NumberArrayAdapter<?, ? super A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector.Factory
-
- newNumberVector(TIntDoubleMap, int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector.Factory
-
- newPageFile(Class<P>) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory
-
- newPageFile(Class<P>) - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFileFactory
-
- newPageFile(Class<P>) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFileFactory
-
- newPageFile(Class<P>) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFileFactory
-
Make a new page file.
- newPageFile(Class<P>) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory
-
- newPair(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a DBID pair from two existing DBIDs.
- newPair(double, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a double-DBID pair.
- newPair(DBIDRef, DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a DBID pair.
- newPair(double, DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a DoubleDBIDPair.
- newPair(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newPair(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- newPairArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair
-
Create a new array of the given size (for generics)
- newStream(String) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
-
Open a new stream of the given name
- newValue - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.AttributeModifier
-
The new value of the attribute.
- newVar(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
-
Make a new DBID variable.
- newVar(DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a new DBID variable.
- newVar() - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Make a new DBID variable.
- newVar(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
-
- next() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.SteepScanPosition
-
Advance to the next entry
- next - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
-
Keep track of the smallest dynamic DBID offset not used.
- next() - Method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.RelationObjectIterator
-
- next() - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
-
- next() - Method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator
-
- next(int) - Method in class de.lmu.ifi.dbs.elki.utilities.UnsafeRandom
-
- next - Variable in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeIterator
-
Store the next node
- next() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeIterator
-
Return next and advance iterator.
- next() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator
-
Return next and advance iterator.
- next - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr
-
- next() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr
-
- nextAllOnesInt(int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
-
Find the next larger number with all ones.
- nextAllOnesLong(long) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
-
Find the next larger number with all ones.
- nextclass - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
-
Next class to return
- nextClearBit(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Find the next clear bit.
- nextElement() - Method in class de.lmu.ifi.dbs.elki.index.tree.BreadthFirstEnumeration
-
Returns the next element of this enumeration if this enumeration object has
at least one more element to provide.
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
-
- nextEvent() - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.BundleStreamSource
-
Get the next event
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.StreamFromBundle
-
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter
-
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ByLabelFilter
-
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFromPatternFilter
-
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.DropNaNFilter
-
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter
-
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.NoMissingValuesFilter
-
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.NoOpFilter
-
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.RandomSamplingStreamFilter
-
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ReplaceNaNWithRandomFilter
-
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser
-
- nextevent - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
-
Event to report next.
- nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
-
- nextPageID - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile
-
The last page ID.
- nextPosition(int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
Helper that is similar to Math.min(a,b), except that negative
values are considered "invalid".
- nextPow2Int(int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
-
Find the next power of 2.
- nextPow2Long(long) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
-
Find the next power of 2.
- nextRadicalInverse() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
-
Compute the next radical inverse.
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution
-
- nextRandom() - Method in interface de.lmu.ifi.dbs.elki.math.statistics.distribution.Distribution
-
Generate a new random value
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution
-
This method currently uses the naive approach of returning
-log(uniform).
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
-
- nextRandom(double, double, Random) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
-
Generate a random value with the generators parameters.
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution
-
This method currently uses the naive approach of returning
-log(uniform).
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution
-
- nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution
-
- nextSetBit(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Find the next set bit.
- nextToken(StreamTokenizer) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
-
Helper function for token handling.
- nf - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator
-
Number format for output of solution.
- nf - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution
-
Number format for output accuracy.
- NF - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
Dynamic number formatter, but with language constraint.
- nf - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Parameterizer
-
Number formatter used for visualization
- NF0 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
Number Formatter (0 digits) for output purposes.
- NF2 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
Number Formatter (2 digits) for output purposes.
- NF4 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
Number Formatter (4 digits) for output purposes.
- NF6 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
Number Formatter (6 digits) for output purposes.
- NF8 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
Number Formatter (8 digits) for output purposes.
- nmea - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
-
Temporary storage, to avoid reallocations.
- nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree
-
Maximum fill for a page before splitting
- nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI
-
Minimum size for a leaf.
- nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Parameterizer
-
Neighborhood minimum size
- nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI
-
- nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.Parameterizer
-
- NMIN_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Parameterizer
-
Parameter to specify the minimum neighborhood size
- NMIN_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI
-
Parameter to specify the minimum neighborhood size
- nn - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilFeature
-
Heap with the nearest known neighbors
- nn_keys - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilFeature
-
Set representation of the nearest neighbors for faster lookups
- NO_CLASS_RESTRICTION - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
-
- NO_DEFAULT_VALUE - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
-
- NO_EXPORT_ATTRIBUTE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
-
Attribute to block export of element.
- NO_PROJECTION - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
-
Constant to not listen for projection changes
- NO_VALUE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
-
Constant for "not in heap".
- NO_VALUE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil
-
Key not found value.
- NoAutomaticEvaluation - Class in de.lmu.ifi.dbs.elki.evaluation
-
No-operation evaluator, that only serves the purpose of explicitely disabling
the default value of
AutomaticEvaluation, if you do not want
evaluation to run.
- NoAutomaticEvaluation() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.NoAutomaticEvaluation
-
- NoAutomaticEvaluation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation
-
Parameterization class
- NoAutomaticEvaluation.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.NoAutomaticEvaluation.Parameterizer
-
- nocenter - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints
-
- nocenter - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints.Parameterizer
-
- NOCENTER_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints
-
Parameter to specify the grid resolution.
- Node<E extends Entry> - Interface in de.lmu.ifi.dbs.elki.index.tree
-
This interface defines the common requirements of nodes in an index
structure.
- nodeAddition(double[][], ChengAndChurch.BiclusterCandidate) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch
-
Algorithm 3 of Cheng and Church.
- NodeAppendChild - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
-
Runnable wrapper for appending XML-Elements to existing Elements.
- NodeAppendChild(Element, Element) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild
-
Trivial constructor.
- NodeAppendChild(Element, Element, SVGPlot, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild
-
Full constructor.
- NodeArrayAdapter - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util
-
Access the entries of a node as array-like.
- NodeArrayAdapter() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.NodeArrayAdapter
-
Constructor.
- nodeID - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.DoubleDistanceSearchCandidate
-
Page id
- nodeID - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.GenericDistanceSearchCandidate
-
Page id
- nodeID - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.GenericMTreeDistanceSearchCandidate
-
Node ID.
- nodelist - Variable in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator
-
- NodeReplaceChild - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
-
Runnable wrapper to replace all children of a given node.
- NodeReplaceChild(Element, Element) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceChild
-
Trivial constructor.
- NodeReplaceChild(Element, Element, SVGPlot, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceChild
-
Full constructor.
- NodeReplacer - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
-
This helper class will replace a node in an SVG plot,
as soon as the tree is unlocked by the rendering engine.
- NodeReplacer(Element, SVGPlot, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer
-
Setup a SVG node replacement.
- nodeSplitter - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings
-
The split strategy.
- nodetail - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
-
Mark as not having a (sensible) detail view.
- NoDuplicateValueGlobalConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints
-
Global parameter constraint specifying that parameters of a list of number
parameters (
NumberParameter) are not allowed to have the same value.
- NoDuplicateValueGlobalConstraint(List<? extends AbstractParameter<?, ?>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.NoDuplicateValueGlobalConstraint
-
Constructs a Not-Equal-Value global parameter constraint.
- NoDuplicateValueGlobalConstraint(AbstractParameter<?, ?>...) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.NoDuplicateValueGlobalConstraint
-
Constructs a Not-Equal-Value global parameter constraint.
- noembed - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
-
Flag to signal the visualizer should not be embedded.
- noexport - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
-
Flag to signal the visualizer should not be exported.
- nofill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Parameterizer
-
Fill parameter.
- NOFILL_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Parameterizer
-
Flag for half-transparent filling of selection cubes.
- noIncrementalRedraw - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
-
Flag to disallow an incremental redraw
- noise - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN
-
Holds a set of noise.
- noise - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN
-
Holds a set of noise.
- NOISE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance
-
Noise IDs
- noise - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering
-
Holds a set of noise.
- noise - Variable in class de.lmu.ifi.dbs.elki.data.Cluster
-
Noise?
- noise1 - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
-
Noise flags
- noise2 - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
-
Noise flags
- NOISE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
-
Pattern to recognize noise clusters by.
- NOISE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering
-
Pattern to recognize noise clusters with
- NOISE_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering
-
Parameter flag for special noise handling.
- noiseDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
-
Holds the dimensionality for noise.
- noisepat - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering.Parameterizer
-
- noisepat - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering.Parameterizer
-
- noisepattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
-
- noisepattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering
-
- noiseSpecialHandling - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering
-
Apply special handling to noise "clusters".
- noiseSpecialHandling - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.Parameterizer
-
- NOLOG_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory
-
Parameter for nolog
- NoMissingValuesFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter
-
A filter to remove entries that have missing values.
- NoMissingValuesFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.NoMissingValuesFilter
-
Constructor.
- NoMissingValuesFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter
-
Parameterization class.
- NoMissingValuesFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.NoMissingValuesFilter.Parameterizer
-
- NON_SPATIAL_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier
-
Parameter to specify the non spatial distance function to use
- NONBREAKING_SPACE - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
Non-breaking unicode space character.
- NonFlatRStarTree<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry,S extends AbstractRTreeSettings> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
-
Abstract superclass for all non-flat R*-Tree variants.
- NonFlatRStarTree(PageFile<N>, S) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree
-
Constructor.
- NonNumericFeaturesException - Exception in de.lmu.ifi.dbs.elki.datasource.filter.normalization
-
An exception to signal the encounter of non numeric features where numeric
features have been expected.
- NonNumericFeaturesException() - Constructor for exception de.lmu.ifi.dbs.elki.datasource.filter.normalization.NonNumericFeaturesException
-
An exception to signal the encounter of non numeric features where numeric
features have been expected.
- NonNumericFeaturesException(String) - Constructor for exception de.lmu.ifi.dbs.elki.datasource.filter.normalization.NonNumericFeaturesException
-
An exception to signal the encounter of non numeric features where numeric
features have been expected.
- NonNumericFeaturesException(Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.datasource.filter.normalization.NonNumericFeaturesException
-
An exception to signal the encounter of non numeric features where numeric
features have been expected.
- NonNumericFeaturesException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.datasource.filter.normalization.NonNumericFeaturesException
-
An exception to signal the encounter of non numeric features where numeric
features have been expected.
- nonSpatialDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier
-
The distance function to use
- NONSTATIC_CLASSPATH - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil
-
If we have a non-static classpath, we do more extensive scanning for user
extensions.
- nonZeroPivotSearch(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
-
Method for trivial pivot search, searches for non-zero entry.
- NoOpFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter
-
Dummy filter that doesn't do any filtering.
- NoOpFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.NoOpFilter
-
Constructor.
- NoParameterValueException - Exception in de.lmu.ifi.dbs.elki.utilities.optionhandling
-
Thrown by OptionHandler in case of incorrect parameter-array.
- NoParameterValueException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.NoParameterValueException
-
Thrown by OptionHandler in case of incorrect parameter-array.
- NoParameterValueException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.NoParameterValueException
-
Thrown by OptionHandler in case of incorrect parameter-array.
- norefine - Variable in class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory
-
Disable refinement of distances.
- norefine - Variable in class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory.Parameterizer
-
Disable refinement of distances.
- norefine - Variable in class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory.Parameterizer
-
Disable refinement of distances.
- norefine - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory
-
Disable refinement of distances.
- norefine - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer
-
Disable refinement of distances.
- norefine - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex
-
Refinement disable flag.
- norm - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.LengthNormalization
-
Norm to use.
- norm - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.LengthNormalization.Parameterizer
-
Norm to use.
- norm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceNorm
-
- norm(SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction
-
- Norm<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
-
Abstract interface for a mathematical norm.
- norm(O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.Norm
-
Compute the norm of object obj.
- norm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
-
- norm - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreeKNNQuery
-
Norm to use.
- norm - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreeRangeQuery
-
Norm to use.
- norm1() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
-
One norm
- norm2() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
-
Two norm
- norm2() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition
-
Two norm
- NORM_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.LengthNormalization.Parameterizer
-
Option ID for normalization norm.
- NORMAL - Static variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite
-
Source blending, using the source image only.
- NormalDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Gaussian distribution aka normal distribution
- NormalDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Constructor for Gaussian distribution
- NormalDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Constructor for Gaussian distribution
- NormalDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Constructor for Gaussian distribution
- NormalDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Parameterization class
- NormalDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution.Parameterizer
-
- Normalization<O> - Interface in de.lmu.ifi.dbs.elki.datasource.filter.normalization
-
Normalization performs a normalization on a set of feature vectors and is
capable to transform a set of feature vectors to the original attribute
ranges.
- normalizationRestore(O) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
-
Restore a vector undoing any normalization that was applied.
- normalize() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
-
Normalizes the RationalNumber by normalizing the signum and canceling both,
numerator and denominator, by the greatest common divisor.
- normalize(int, double) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseMADNormalization
-
Normalize a single dimension.
- normalize(int, double) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization
-
Normalize a single dimension.
- normalize - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser
-
Normalize.
- normalize - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser.Parameterizer
-
Normalization flag.
- normalize() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
-
Normalizes this vector to the length of 1.0.
- normalize(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Normalizes v1 to the length of 1.0.
- normalize - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
-
Store flag to Normalize data before curve fitting.
- normalize - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling.Parameterizer
-
- NORMALIZE_FLAG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser.Parameterizer
-
Option ID for normalization.
- NORMALIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
-
Normalization flag.
- normalizeColumns() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
-
Normalizes the columns of this matrix to length of 1.0.
- normalizeColumns(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Normalizes the columns of this matrix to length of 1.0.
- NormalizedLevenshteinDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.strings
-
Levenshtein distance on strings, normalized by string length.
- NormalizedLevenshteinDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.NormalizedLevenshteinDistanceFunction
-
Deprecated.
- NormalizedLevenshteinDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.strings
-
Parameterization class.
- NormalizedLevenshteinDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.NormalizedLevenshteinDistanceFunction.Parameterizer
-
- NormalizedPrimitiveSimilarityFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction
-
Marker interface for similarity functions working on primitive objects, and
limited to the 0-1 value range.
- NormalizedSimilarityFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction
-
Marker interface to signal that the similarity function is normalized to
produce values in the range of [0:1].
- normalizedVariationOfInformation() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the normalized variation of information (normalized, 0 = equal)
NVI = 1 - NMI_Joint
Vinh, N.X. and Epps, J. and Bailey, J.
- normalizeEigenPair(EigenPair) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.NormalizingEigenPairFilter
-
Normalizes an eigenpair consisting of eigenvector v and eigenvalue e s.t.
- normalizeEquals(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Normalizes v1 to the length of 1.0.
- normalizeScore(double) - Method in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta
-
- normalizeScore(double) - Method in class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta
-
- normalizeScore(double) - Method in interface de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta
-
Return a normalized value of the outlier score.
- normalizeScore(double) - Method in class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore
-
- normalizeSignum() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
-
Normalizes the signum such that if the RationalNumber is negative, the
numerator will be negative, the denominator positive.
- normalizeValue(double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance
-
Return the normalized value (centered at the mean, distance normalized by
standard deviation)
- NormalizingEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
-
The NormalizingEigenPairFilter normalizes all eigenvectors s.t.
- NormalizingEigenPairFilter() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.NormalizingEigenPairFilter
-
Provides a new EigenPairFilter that normalizes all eigenvectors s.t.
- NormalLevenbergMarquardtKDEEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Distribution parameter estimation using Levenberg-Marquardt iterative
optimization and a kernel density estimation.
- NormalLevenbergMarquardtKDEEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLevenbergMarquardtKDEEstimator
-
Constructor.
- NormalLevenbergMarquardtKDEEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Parameterization class.
- NormalLevenbergMarquardtKDEEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLevenbergMarquardtKDEEstimator.Parameterizer
-
- NormalLMMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Estimate the parameters of a normal distribution using the method of
L-Moments (LMM).
- NormalLMMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLMMEstimator
-
Constructor.
- NormalLMMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Parameterization class.
- NormalLMMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLMMEstimator.Parameterizer
-
- NormalMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Estimator using Medians.
- NormalMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalMADEstimator
-
Constructor.
- NormalMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Parameterization class.
- NormalMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalMADEstimator.Parameterizer
-
- NormalMOMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Naive maximum-likelihood estimations for the normal distribution using mean
and sample variance.
- NormalMOMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalMOMEstimator
-
Private constructor, use static instance!
- NormalMOMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Parameterization class.
- NormalMOMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalMOMEstimator.Parameterizer
-
- normAngle(double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
-
Normalize an angle to [0:2pi[
- normF() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
-
Frobenius norm
- normInf() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
-
Infinity norm
- NoSupportedDataTypeException - Exception in de.lmu.ifi.dbs.elki.data.type
-
Exception thrown when no supported data type was found.
- NoSupportedDataTypeException(TypeInformation, Collection<TypeInformation>) - Constructor for exception de.lmu.ifi.dbs.elki.data.type.NoSupportedDataTypeException
-
Constructor.
- NoSupportedDataTypeException(String) - Constructor for exception de.lmu.ifi.dbs.elki.data.type.NoSupportedDataTypeException
-
Constructor with string message.
- NOT_A_NUMBER - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
Preallocated exceptions.
- NOT_FROM_ONE_CLUSTER_PROBABILITY - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS
-
Epsilon
- NOT_SELECTED - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.CellVisitor
-
Different modes of operation.
- NOT_SET - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag
-
Constant indicating that the flag is not set.
- NotImplementedException - Exception in de.lmu.ifi.dbs.elki.utilities.exceptions
-
Exception thrown when a particular code path was not yet implemented.
- NotImplementedException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.NotImplementedException
-
Constructor.
- NotImplementedException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.NotImplementedException
-
Constructor.
- nozeros - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling
-
Ignore zero values
- nozeros - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling.Parameterizer
-
Ignore zero values
- NOZEROS_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling
-
Flag to use ignore zeros when computing the min and max.
- npred - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance
-
The neighborhood predicate
- npred - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN
-
The neighborhood predicate factory.
- npred - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer
-
Neighborhood predicate.
- npredf - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier
-
Our predicate to obtain the neighbors
- npredf - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier.Parameterizer
-
The predicate to obtain the neighbors.
- nu - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution.Parameterizer
-
Parameters.
- NU_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution.Parameterizer
-
Degrees of freedom.
- NullAlgorithm - Class in de.lmu.ifi.dbs.elki.algorithm
-
Null Algorithm, which does nothing.
- NullAlgorithm() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.NullAlgorithm
-
Constructor.
- nullDistance() - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
-
Provides a null distance.
- nullDistance() - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery
-
Provides a null distance.
- nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
-
- nullDistance() - Method in interface de.lmu.ifi.dbs.elki.distance.distancevalue.Distance
-
Provides a null distance.
- nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
-
A null DoubleDistance is based on 0.
- nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance
-
A null FloatDistance is based on 0.
- nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance
-
- nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PCACorrelationDistance
-
Provides a null distance.
- nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance
-
- nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.SubspaceDistance
-
- nullIndividuum(int) - Static method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Individuum
-
Create a "null" individuum (full space).
- nullpostfix - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.naming.SimpleEnumeratingScheme
-
This is the postfix added to the first cluster, which will be removed when
there is only one cluster of this name.
- num - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging
-
Number of instances to use.
- num - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer
-
Number of instances to use.
- NUM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer
-
Parameter to specify the number of instances to use in the ensemble.
- NUM_PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
Numerical precision to use
- NUM_PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
-
Numerical precision to use (data type dependent!)
- NUMBER_OF_NEIGHBORS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
-
Parameter to indicate the number of neighbors to be taken into account
for the shared-nearest-neighbor similarity.
- NUMBER_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser
-
A pattern catching most numbers that can be parsed using
Double.parseDouble:
Some examples: 1 1.
- NUMBER_SELECTED_ATTRIBUTES_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Parameterizer
-
Parameter for the desired cardinality of the subset of attributes
selected for projection.
- NUMBER_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
-
Input type for algorithms that require number vector fields.
- NUMBER_VECTOR_VARIABLE_LENGTH - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
-
Number vectors of variable length.
- NumberArrayAdapter<N extends Number,A> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
-
Adapter for arrays of numbers, to avoid boxing.
- NumberDistance<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.distance.distancevalue
-
Provides a Distance for a number-valued distance.
- NumberDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance
-
Constructs a new NumberDistance object that represents the value argument.
- NumberDistanceParser<D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
-
Provides a parser for parsing one distance value per line.
- NumberDistanceParser(Pattern, String, Pattern, D) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser
-
Constructor.
- NumberDistanceParser.Parameterizer<D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
-
Parameterization class.
- NumberDistanceParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser.Parameterizer
-
- NUMBERLISTADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
-
Static instance for lists of numbers.
- numberListAdapter(List<? extends T>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
-
Cast the static instance.
- NumberListArrayAdapter<T extends Number> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
-
Static adapter class to use a
List in an array of number
API.
- NumberListArrayAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberListArrayAdapter
-
Constructor.
- numberOfBuckets - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance
-
Number of buckets to use.
- numberOfBuckets - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex
-
Number of buckets to use.
- numberOfBuckets - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer
-
Number of buckets to use.
- numberOfFeatureVectors() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
-
Returns the number of feature vectors this unit contains.
- numberOfLeadingZeros(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Find the number of leading zeros.
- numberOfLeadingZeros(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
- numberOfLeadingZeros(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
- numberOfLeadingZerosSigned(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Find the number of leading zeros.
- numberOfLeadingZerosSigned(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
- numberOfLeadingZerosSigned(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
- numberOfNeighbors - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
-
Holds the number of nearest neighbors to be used.
- numberOfNeighbors - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Parameterizer
-
Holds the number of nearest neighbors to be used.
- numberOfNeighbors - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor
-
Holds the number of nearest neighbors to be used.
- numberOfTrailingZeros(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Find the number of trailing zeros.
- numberOfTrailingZeros(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Find the number of trailing zeros.
- numberOfTrailingZeros(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Find the number of trailing zeros.
- numberOfTrailingZerosSigned(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Find the number of trailing zeros.
- numberOfTrailingZerosSigned(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Find the number of trailing zeros.
- NumberParameter<THIS extends NumberParameter<THIS,T>,T extends Number> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
-
Abstract class for defining a number parameter.
- NumberParameter(OptionID, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
-
Constructs a number parameter with the given optionID and default Value.
- NumberParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
-
Constructs a number parameter with the given optionID and optional flag.
- NumberParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
-
Constructs a number parameter with the given optionID.
- numberSharedLevels(long[], long[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures
-
Number of levels shared
- NumberVector<N extends Number> - Interface in de.lmu.ifi.dbs.elki.data
-
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
- NumberVector.Factory<V extends NumberVector<? extends N>,N extends Number> - Interface in de.lmu.ifi.dbs.elki.data
-
Factory API for this feature vector.
- NUMBERVECTORADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
-
Use a number vector in the array API.
- numberVectorAdapter(NumberVector<N>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
-
Get the static instance.
- NumberVectorAdapter<N extends Number> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
-
Adapter to use a feature vector as an array of features.
- NumberVectorAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberVectorAdapter
-
Constructor.
- NumberVectorDistanceFunction<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
-
Base interface for the common case of distance functions defined on numerical vectors.
- NumberVectorFeatureSelectionFilter<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
-
Parser to project the ParsingResult obtained by a suitable base parser onto a
selected subset of attributes.
- NumberVectorFeatureSelectionFilter(BitSet) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter
-
Constructor.
- NumberVectorFeatureSelectionFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
-
Parameterization class.
- NumberVectorFeatureSelectionFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Parameterizer
-
- NumberVectorLabelParser<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.datasource.parser
-
Provides a parser for parsing one point per line, attributes separated by
whitespace.
- NumberVectorLabelParser(NumberVector.Factory<V, ?>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
-
Constructor with defaults.
- NumberVectorLabelParser(Pattern, String, Pattern, BitSet, NumberVector.Factory<V, ?>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
-
Constructor.
- NumberVectorLabelParser.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.datasource.parser
-
Parameterization class.
- NumberVectorLabelParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser.Parameterizer
-
- NumberVectorRandomFeatureSelectionFilter<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
-
Parser to project the ParsingResult obtained by a suitable base parser onto a
randomly selected subset of attributes.
- NumberVectorRandomFeatureSelectionFilter(int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter
-
Constructor.
- NumberVectorRandomFeatureSelectionFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
-
Parameterization class.
- NumberVectorRandomFeatureSelectionFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Parameterizer
-
- numbin - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
-
Number of bins to use in sampling.
- numbin - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer
-
Number of bins to use in sampling.
- numbins - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality
-
Number of bins to use.
- numbins - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality.Parameterizer
-
Number of bins to use.
- numbins - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram
-
Number of bins to use.
- numbins - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram.Parameterizer
-
Number of bins.
- numc - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec
-
Number of parents, number of children.
- numCandidates - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy
-
Number of candidates to consider
- numCandidates - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Parameterizer
-
The number of candidates to use
- numChildren(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
-
- numChildren(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
-
Get number of children
- numclusters - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments
-
Number of Clusters for each clustering
- numclusters - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1
-
Threshold, how many clusters to extract.
- numclusters - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1.Parameterizer
-
Desired number of clusters.
- numclusters - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2
-
Threshold, how many clusters to extract.
- numclusters - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2.Parameterizer
-
Desired number of clusters.
- numclusters - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3
-
Threshold, how many clusters to extract.
- numclusters - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Parameterizer
-
Desired number of clusters.
- numEntries - Variable in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
-
The number of entries in this node.
- numerator - Variable in class de.lmu.ifi.dbs.elki.data.RationalNumber
-
Holding the numerator of the RationalNumber.
- NumericalFeatureSelection<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.data.projection
-
Projection class for number vectors.
- NumericalFeatureSelection(BitSet) - Constructor for class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection
-
Constructor.
- NumericalFeatureSelection.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.data.projection
-
Parameterization class.
- NumericalFeatureSelection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection.Parameterizer
-
- numfit - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
-
Number of parameters to fit
- numNodes() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree
-
Determines and returns the number of nodes in this index.
- numObjects() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
-
Returns the number of objects associated with this interval.
- nump - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec
-
Number of parents, number of children.
- numparams - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
-
Number of parameters
- numParents(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
-
- numParents(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
-
Get number of (direct) parents
- numpart - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory
-
Number of partitions.
- numpart - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory.Parameterizer
-
Number of partitions.
- numpart - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory
-
Number of partitions.
- numpart - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory.Parameterizer
-
Number of partitions.
- NUMPROJ_ID - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractHashFunctionFamily.Parameterizer
-
Number of projections to use in each hash function.
- numrecs - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
-
Number of records in the file.
- NUMSTYLES - Static variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler
-
Number of styles to use (lower reduces rendering complexity a bit)
- numterms - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser
-
Number of different terms observed.
- numties - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNHeap
-
Number of element in ties list.
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