L-Index (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

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

L

l - Variable in class elki.clustering.AbstractProjectedClustering: Dimensionality of clusters to find
l - Variable in class elki.clustering.AbstractProjectedClustering.Par: Dimensionality of clusters to find
l - Variable in class elki.index.lsh.InMemoryLSHIndex: Number of hash tables to use.
l - Variable in class elki.index.lsh.InMemoryLSHIndex.Par: Number of hash functions for each table.
l - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull: Number of points in lower hull.
l - Variable in class elki.outlier.anglebased.LBABOD: Number of outliers to refine.
l - Variable in class elki.outlier.anglebased.LBABOD.Par: Number of outliers to find.
l - Variable in class elki.outlier.density.HySortOD: Hypercube's length.
l - Variable in class elki.outlier.GaussianUniformMixture.Par: Expected outlier fraction
l - Variable in class elki.svm.model.Model
l - Variable in class elki.svm.qmatrix.SVR_Q
l - Variable in class elki.svm.solver.Solver
L - Variable in class elki.math.linearalgebra.CholeskyDecomposition: Array for internal storage of decomposition.
L_ID - Static variable in class elki.clustering.AbstractProjectedClustering.Par: Parameter to specify the dimensionality of the clusters to find, must be an integer greater than 0.
L_ID - Static variable in class elki.index.lsh.InMemoryLSHIndex.Par: Number of hash tables to use for LSH.
L_ID - Static variable in class elki.outlier.anglebased.LBABOD.Par: Parameter to specify the number of outliers to compute exactly.
L_ID - Static variable in class elki.outlier.GaussianUniformMixture.Par: Parameter to specify the fraction of expected outliers.
LAB<O> - Class in elki.clustering.kmedoids.initialization: Linear approximative BUILD (LAB) initialization for FastPAM (and k-means).
LAB(RandomFactory) - Constructor for class elki.clustering.kmedoids.initialization.LAB: Constructor.
LAB.Par<V> - Class in elki.clustering.kmedoids.initialization: Parameterization class.
label - Variable in class elki.data.SimpleClassLabel: Holds the String designating the label.
label - Variable in class elki.data.type.SimpleTypeInformation: Type label.
label - Variable in class elki.gui.configurator.AbstractSingleParameterConfigurator: Label
label - Variable in class elki.gui.util.TreePopup.Renderer: Label to render
label - Variable in class elki.svm.model.ClassificationModel
label - Variable in class elki.visualization.svg.SVGCheckbox: Checkbox label
label - Variable in class elki.visualization.svg.SVGScoreBar: Label (on the right)
label - Variable in class elki.visualization.visualizers.visunproj.LabelVisualization: The label to render
LABEL_CONCATENATION - Static variable in class elki.datasource.AbstractDatabaseConnection: A sign to separate components of a label.
LABEL_INDICES_ID - Static variable in class elki.datasource.parser.NumberVectorLabelParser.Par: A comma separated list of the indices of labels (may be numeric), counting whitespace separated entries in a line starting with 0.
labelcol - Variable in class elki.evaluation.classification.holdout.AbstractHoldout: Column containing the class labels.
labelcols - Variable in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter: Bitset of label columns
LABELFILTER_PATTERN_ID - Static variable in class elki.datasource.filter.selection.ByLabelFilter.Par: Parameter that specifies the filter pattern (regular expression).
LABELFILTER_PATTERN_INVERT_ID - Static variable in class elki.datasource.filter.selection.ByLabelFilter.Par: Flag to use the pattern in inverted mode
labelHeight - Variable in class elki.visualization.savedialog.SaveOptionsPanel
labelIndices - Variable in class elki.datasource.parser.NumberVectorLabelParser: Keeps the indices of the attributes to be treated as a string label.
labelIndices - Variable in class elki.datasource.parser.NumberVectorLabelParser.Par: Keeps the indices of the attributes to be treated as a string label.
LabelJoinDatabaseConnection - Class in elki.datasource: Joins multiple data sources by their label
LabelJoinDatabaseConnection(List<? extends ObjectFilter>, List<? extends DatabaseConnection>) - Constructor for class elki.datasource.LabelJoinDatabaseConnection: Constructor.
LabelJoinDatabaseConnection.Par - Class in elki.datasource: Parameterization class.
LabelList - Class in elki.data: A list of string labels.
LabelList(int) - Constructor for class elki.data.LabelList: Constructor.
LabelList(String[]) - Constructor for class elki.data.LabelList: Private constructor.
LABELLIST - Static variable in class elki.data.type.TypeUtil: A list of labels.
LabelList.Serializer - Class in elki.data: Serialization class.
labelQual - Variable in class elki.visualization.savedialog.SaveOptionsPanel
labelrep - Variable in class elki.classification.KNNClassifier: Class label representation.
labels - Variable in class elki.classification.PriorProbabilityClassifier: Class labels seen.
labels - Variable in class elki.data.LabelList: Labels.
labels - Variable in class elki.data.synthetic.bymodel.GeneratorMain.AssignLabelsByDensity: Cluster labels.
labels - Variable in class elki.data.type.VectorFieldTypeInformation: Labels.
labels - Variable in class elki.datasource.ArrayAdapterDatabaseConnection: Object labels.
labels - Variable in class elki.datasource.parser.ArffParser: (Reused) buffer for building label lists.
labels - Variable in class elki.datasource.parser.NumberVectorLabelParser: (Reused) store for labels.
labels - Variable in class elki.datasource.parser.SimplePolygonParser: (Reused) store for labels.
labels - Variable in class elki.datasource.parser.SparseNumberVectorLabelParser: (Reused) label buffer.
labels - Variable in class elki.datasource.parser.TermFrequencyParser: (Reused) label buffer.
labels - Variable in class elki.evaluation.classification.ConfusionMatrix: Holds the class labels.
labels - Variable in class elki.evaluation.classification.holdout.AbstractHoldout: Labels in the current data set.
labels - Variable in class elki.evaluation.classification.holdout.TrainingAndTestSet: The overall labels.
labels - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared: Axis labels
LabelStyle() - Constructor for enum elki.visualization.svg.SVGSimpleLinearAxis.LabelStyle
labelSubtree(double[], int, int, int) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance: Label an entire subtree.
LabelVisualization - Class in elki.visualization.visualizers.visunproj: Trivial "visualizer" that displays a static label.
LabelVisualization() - Constructor for class elki.visualization.visualizers.visunproj.LabelVisualization: Constructor.
LabelVisualization(String) - Constructor for class elki.visualization.visualizers.visunproj.LabelVisualization: The actually used constructor - with a static label.
LabelVisualization(String, boolean) - Constructor for class elki.visualization.visualizers.visunproj.LabelVisualization: Constructor.
labelWidth - Variable in class elki.visualization.savedialog.SaveOptionsPanel
labelx - Variable in class elki.math.geometry.XYCurve: Label of X axis
labelx - Variable in class elki.math.geometry.XYPlot: Label of X axis
labely - Variable in class elki.math.geometry.XYCurve: Label of Y axis
labely - Variable in class elki.math.geometry.XYPlot: Label of Y axis
LAESA<O> - Class in elki.index.laesa: Linear Approximating and Eliminating Search Algorithm
LAESA(Relation<O>, Distance<? super O>, int, int, RandomFactory) - Constructor for class elki.index.laesa.LAESA: Constructor.
LAESA.Factory<O> - Class in elki.index.laesa: Index factory.
LAESA.Factory.Par<O> - Class in elki.index.laesa: Parameterization class.
LAESA.LAESAKNNByDBIDSearcher - Class in elki.index.laesa: KNN searcher by DBID class
LAESA.LAESAKNNByObjectSearcher - Class in elki.index.laesa: KNN searcher by object class
LAESA.LAESAKNNSearcher<Q> - Class in elki.index.laesa: KNN searcher class
LAESA.LAESARangeByDBIDSearcher - Class in elki.index.laesa: Range searcher by DBID class
LAESA.LAESARangeByObjectSearcher - Class in elki.index.laesa: Range searcher by object class
LAESA.LAESARangeSearcher<Q> - Class in elki.index.laesa: Range searcher class
LAESAKNNByDBIDSearcher(int) - Constructor for class elki.index.laesa.LAESA.LAESAKNNByDBIDSearcher: Constructor.
LAESAKNNByObjectSearcher(int) - Constructor for class elki.index.laesa.LAESA.LAESAKNNByObjectSearcher: Constructor.
laesaKNNSearch(KNNHeap) - Method in class elki.index.laesa.LAESA.LAESAKNNSearcher: Search the k nearest neighbors
LAESAKNNSearcher(int) - Constructor for class elki.index.laesa.LAESA.LAESAKNNSearcher: Constructor.
LAESARangeByDBIDSearcher() - Constructor for class elki.index.laesa.LAESA.LAESARangeByDBIDSearcher
LAESARangeByObjectSearcher() - Constructor for class elki.index.laesa.LAESA.LAESARangeByObjectSearcher
laesaRangeSearch(double, ModifiableDoubleDBIDList) - Method in class elki.index.laesa.LAESA.LAESARangeSearcher: Perform a range search
LAESARangeSearcher() - Constructor for class elki.index.laesa.LAESA.LAESARangeSearcher
lambda - Variable in class elki.clustering.affinitypropagation.AffinityPropagation: Damping factor lambda.
lambda - Variable in class elki.clustering.correlation.FourC.Settings: Maximum subspace dimensionality lambda.
lambda - Variable in class elki.clustering.subspace.PreDeCon.Settings: Lambda: Maximum subspace dimensionality.
lambda - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Lambda (refinement step size)
lambda - Variable in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution: Exponential rate.
lambda - Variable in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Par: Parameters.
lambda - Variable in class elki.math.statistics.distribution.WeibullDistribution: Lambda parameter.
lambda - Variable in class elki.math.statistics.distribution.WeibullDistribution.Par: Parameters.
lambda - Variable in class elki.outlier.lof.LoOP: Lambda parameter.
lambda - Variable in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling: Parameter lambda of the exponential distribution (inliers)
lambda - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par: Predefined lambda scaling factor.
lambda - Variable in class elki.utilities.scaling.outlier.StandardDeviationScaling: Field storing the lambda value
lambda - Variable in class elki.utilities.scaling.outlier.StandardDeviationScaling.Par: Field storing the lambda value
LAMBDA_ID - Static variable in class elki.clustering.correlation.FourC.Settings.Par: Parameter Lambda: maximum dimensionality allowed.
LAMBDA_ID - Static variable in class elki.clustering.subspace.PreDeCon.Settings.Par: Parameter Lambda: maximum dimensionality allowed.
LAMBDA_ID - Static variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par: Parameter to specify the lambda value
LAMBDA_ID - Static variable in class elki.utilities.scaling.outlier.StandardDeviationScaling.Par: Parameter to specify the lambda value
LANCZOS - Static variable in class elki.math.statistics.distribution.GammaDistribution: LANCZOS-Coefficients for Gamma approximation.
LaplaceCorrectedConfidence - Class in elki.itemsetmining.associationrules.interest: Laplace Corrected Confidence interestingness measure.
LaplaceCorrectedConfidence() - Constructor for class elki.itemsetmining.associationrules.interest.LaplaceCorrectedConfidence: Constructor.
LaplaceDistribution - Class in elki.math.statistics.distribution: Laplace distribution also known as double exponential distribution
LaplaceDistribution(double) - Constructor for class elki.math.statistics.distribution.LaplaceDistribution: Constructor.
LaplaceDistribution(double, double) - Constructor for class elki.math.statistics.distribution.LaplaceDistribution: Constructor.
LaplaceDistribution.Par - Class in elki.math.statistics.distribution: Parameterization class
LaplaceKernel - Class in elki.similarity.kernel: Laplace / exponential radial basis function kernel.
LaplaceKernel(double) - Constructor for class elki.similarity.kernel.LaplaceKernel: Constructor.
LaplaceKernel.Par - Class in elki.similarity.kernel: Parameterization class.
LaplaceLMMEstimator - Class in elki.math.statistics.distribution.estimator: Estimate Laplace distribution parameters using the method of L-Moments (LMM).
LaplaceLMMEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LaplaceLMMEstimator: Private constructor, use static instance!
LaplaceLMMEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
LaplaceMADEstimator - Class in elki.math.statistics.distribution.estimator: Estimate Laplace distribution parameters using Median and MAD.
LaplaceMADEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LaplaceMADEstimator: Private constructor, use static instance!
LaplaceMADEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
LaplaceMLEEstimator - Class in elki.math.statistics.distribution.estimator: Estimate Laplace distribution parameters using Median and mean deviation from median.
LaplaceMLEEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LaplaceMLEEstimator: Private constructor, use static instance!
LaplaceMLEEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
largestPageID - Variable in class elki.index.tree.TreeIndexHeader: The largest ID used so far
LAST_GROW_SIZE - Static variable in class elki.utilities.datastructures.arraylike.DoubleArray: Last value where we can grow by 50%.
LAST_GROW_SIZE - Static variable in class elki.utilities.datastructures.arraylike.IntegerArray: Last value where we can grow by 50%.
lastaction - Variable in class elki.visualization.svg.SVGPath: The last action we did, to not add unnecessary commands
lastbest - Variable in class elki.clustering.kmedoids.FastCLARANS.Assignment: Last best medoid number
lastClick - Variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy: For detecting double clicks.
lastimg - Variable in class elki.visualization.batikutil.ThumbnailTranscoder: Last image produced.
lastInsertedEntry - Variable in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: The last inserted entry.
lastLogged - Variable in class elki.logging.progress.AbstractProgress: For logging rate control.
lastNewlinePos - Variable in class elki.gui.util.LogPane: Last newline position
lastValue - Variable in class elki.logging.progress.AbstractProgress: Last logged value.
LATDIM_ID - Static variable in class elki.distance.geo.DimensionSelectingLatLngDistance.Par: Latitude dimension parameter.
latest - Variable in class elki.visualization.batikutil.JSVGSynchronizedCanvas: The latest attaching operation.
LatLngAsECEFIndex<O extends NumberVector> - Class in elki.index.projected: Index a 2d data set (consisting of Lat/Lng pairs) by using a projection to 3D coordinates (WGS-86 to ECEF).
LatLngAsECEFIndex(Relation<? extends O>, Projection<O, O>, Relation<O>, Index, boolean) - Constructor for class elki.index.projected.LatLngAsECEFIndex: Constructor.
LatLngAsECEFIndex.Factory<O extends NumberVector> - Class in elki.index.projected: Index factory.
latLngDegToECEF(double, double) - Method in class elki.math.geodesy.AbstractEarthModel
latLngDegToECEF(double, double) - Method in interface elki.math.geodesy.EarthModel: Map a degree latitude, longitude pair to 3D X-Y-Z coordinates, using a spherical earth model.
latLngDegToECEF(double, double, double) - Method in class elki.math.geodesy.AbstractEarthModel
latLngDegToECEF(double, double, double) - Method in interface elki.math.geodesy.EarthModel: Map a degree latitude, longitude pair to 3D X-Y-Z coordinates, using a spherical earth model.
LatLngDistance - Class in elki.distance.geo: Distance function for 2D vectors in Latitude, Longitude form.
LatLngDistance(EarthModel) - Constructor for class elki.distance.geo.LatLngDistance: Constructor.
LatLngDistance.Par - Class in elki.distance.geo: Parameterization class.
latlngMinDistDeg(double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil: Point to rectangle minimum distance.
latlngMinDistRad(double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil: Point to rectangle minimum distance.
latlngMinDistRadFull(double, double, double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil: Point to rectangle minimum distance.
latLngRadToECEF(double, double) - Method in class elki.math.geodesy.AbstractEarthModel
latLngRadToECEF(double, double) - Method in interface elki.math.geodesy.EarthModel: Map a radians latitude, longitude pair to 3D X-Y-Z coordinates, using a spherical earth model.
latLngRadToECEF(double, double) - Method in class elki.math.geodesy.SphericalCosineEarthModel
latLngRadToECEF(double, double) - Method in class elki.math.geodesy.SphericalHaversineEarthModel
latLngRadToECEF(double, double) - Method in class elki.math.geodesy.SphericalVincentyEarthModel
latLngRadToECEF(double, double, double) - Method in class elki.math.geodesy.AbstractEarthModel
latLngRadToECEF(double, double, double) - Method in interface elki.math.geodesy.EarthModel: Map a radians latitude, longitude pair to 3D X-Y-Z coordinates, using a spherical earth model.
latLngRadToECEF(double, double, double) - Method in class elki.math.geodesy.SphericalCosineEarthModel
latLngRadToECEF(double, double, double) - Method in class elki.math.geodesy.SphericalHaversineEarthModel
latLngRadToECEF(double, double, double) - Method in class elki.math.geodesy.SphericalVincentyEarthModel
LatLngToECEFFilter<V extends NumberVector> - Class in elki.datasource.filter.transform: Project a 2D data set (latitude, longitude) to a 3D coordinate system (X, Y, Z), such that Euclidean distance is line-of-sight.
LatLngToECEFFilter(EarthModel) - Constructor for class elki.datasource.filter.transform.LatLngToECEFFilter: Constructor.
LatLngToECEFProjection<V extends NumberVector> - Class in elki.data.projection: Project (Latitude, Longitude) vectors to (X, Y, Z), from spherical coordinates to ECEF (earth-centered earth-fixed).
LatLngToECEFProjection(EarthModel) - Constructor for class elki.data.projection.LatLngToECEFProjection: Constructor.
layer - Variable in class elki.visualization.visualizers.AbstractVisualization: Layer storage
LayerMap - Class in elki.visualization.gui.overview: Class to help keeping track of the materialized layers of the different visualizations.
LayerMap() - Constructor for class elki.visualization.gui.overview.LayerMap
layout - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared: Layout
layout - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Settings: Layouting method.
layout(int, double[]) - Method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC
layout(int, double[]) - Method in class elki.visualization.parallel3d.layout.CompactCircularMSTLayout3DPC
layout(int, double[]) - Method in class elki.visualization.parallel3d.layout.MultidimensionalScalingMSTLayout3DPC
layout(int, double[]) - Method in interface elki.visualization.parallel3d.layout.SimilarityBasedLayouter3DPC: Main analysis method.
layout(int, double[]) - Method in class elki.visualization.parallel3d.layout.SimpleCircularMSTLayout3DPC
layout(Relation<? extends NumberVector>) - Method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC
layout(Relation<? extends V>) - Method in interface elki.visualization.parallel3d.layout.Layouter3DPC: Run the layouting algorithm.
Layout - Class in elki.visualization.parallel3d.layout: Layout class.
Layout() - Constructor for class elki.visualization.parallel3d.layout.Layout
LAYOUT_ID - Static variable in class elki.visualization.visualizers.visunproj.DendrogramVisualization.Par: Dendrogram positioning logic.
Layout.Edge - Class in elki.visualization.parallel3d.layout: Edge class
Layout.Node - Interface in elki.visualization.parallel3d.layout: Node of the layout tree.
Layouter3DPC<V> - Interface in elki.visualization.parallel3d.layout: Arrange parallel coordinates on a 2D plane, for 3D parallel coordinates.
LazyCanvasResizer - Class in elki.visualization.batikutil: Class to lazily process canvas resize events by applying a threshold.
LazyCanvasResizer(Component) - Constructor for class elki.visualization.batikutil.LazyCanvasResizer: Simplified constructor using the default threshold LazyCanvasResizer.DEFAULT_THRESHOLD
LazyCanvasResizer(Component, double) - Constructor for class elki.visualization.batikutil.LazyCanvasResizer: Full constructor.
lazyRefresh() - Method in class elki.visualization.gui.detail.DetailView: Trigger a refresh.
lazyRefresh() - Method in class elki.visualization.gui.overview.OverviewPlot: Trigger a redraw, but avoid excessive redraws.
lb - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher: Current lower bound.
lb - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher: Current lower bound.
LBABOD<V extends NumberVector> - Class in elki.outlier.anglebased: LB-ABOD (lower-bound) version of Angle-Based Outlier Detection / Angle-Based Outlier Factor.
LBABOD(Similarity<? super V>, int, int) - Constructor for class elki.outlier.anglebased.LBABOD: Actual constructor, with parameters.
LBABOD.Par<V extends NumberVector> - Class in elki.outlier.anglebased: Parameterization class.
lbl - Variable in class elki.datasource.parser.ClusteringVectorParser: Buffer for labels.
lblcol - Variable in class elki.datasource.filter.selection.ByLabelFilter: Label column
lbound - Variable in class elki.outlier.distance.HilOut.HilFeature: Lower bound of object
lbsorted - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher: "side effect" sorting positions
LC - elki.visualization.svg.SVGSimpleLinearAxis.Alignment
LCSSDistance - Class in elki.distance.timeseries: Longest Common Subsequence distance for numerical vectors.
LCSSDistance(double, double) - Constructor for class elki.distance.timeseries.LCSSDistance: Constructor.
LCSSDistance.Par - Class in elki.distance.timeseries: Parameterization class.
LDF<O extends NumberVector> - Class in elki.outlier.lof: Outlier Detection with Kernel Density Functions.
LDF(int, Distance<? super O>, KernelDensityFunction, double, double) - Constructor for class elki.outlier.lof.LDF: Constructor.
LDOF<O> - Class in elki.outlier.lof: Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.
LDOF(Distance<? super O>, int) - Constructor for class elki.outlier.lof.LDOF: Constructor.
LDOF_BASELINE - Static variable in class elki.outlier.lof.LDOF: The baseline for LDOF values.
LDOF.Par<O> - Class in elki.outlier.lof: Parameterization class.
Leader<O> - Class in elki.clustering: Leader clustering algorithm.
Leader(Distance<? super O>, double) - Constructor for class elki.clustering.Leader: Constructor.
LEAF_STRATEGY_ID - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Par: Insertion strategy for leaf nodes.
leafCapacity - Variable in class elki.index.tree.IndexTree: The capacity of a leaf node (= 1 + maximum number of entries in a leaf node).
leafCapacity - Variable in class elki.index.tree.TreeIndexHeader: The capacity of a leaf node (= 1 + maximum number of entries in a leaf node).
LeafEntry - Interface in elki.index.tree: Leaf entry of an index.
leafEntryIDs(MkAppTreeNode<O>, ModifiableDBIDs) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Determines the ids of the leaf entries stored in the specified subtree.
leafIcon - Variable in class elki.gui.util.TreePopup.Renderer: Icons
leafIterator() - Method in class elki.clustering.hierarchical.birch.CFTree: Get an iterator over the leaf nodes.
leafIterator() - Method in class elki.index.tree.betula.CFTree: Get an iterator over the leaf nodes.
LeafIterator(CFTree.TreeNode) - Constructor for class elki.clustering.hierarchical.birch.CFTree.LeafIterator: Constructor.
LeafIterator(CFNode<L>) - Constructor for class elki.index.tree.betula.CFTree.LeafIterator: Constructor.
leafMap - Variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance: Map clusters to integer cluster numbers.
leafMinimum - Variable in class elki.index.tree.IndexTree: The minimum number of entries in a leaf node.
leafMinimum - Variable in class elki.index.tree.TreeIndexHeader: The minimum number of entries in a leaf node.
leafsize - Variable in class elki.clustering.kmeans.KDTreePruningKMeans: Desired leaf size.
leafsize - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.Par: Desired leaf size.
leafsize - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.Factory: Maximum size of leaf nodes.
leafsize - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.Factory.Par: Maximum size of leaf nodes.
leafsize - Variable in class elki.index.tree.spatial.kd.MemoryKDTree: Maximum size of leaf nodes.
leafsize - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory: Maximum size of leaf nodes.
leafsize - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Par: Maximum size of leaf nodes.
leafsize - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree: Maximum size of leaf nodes.
leafsize - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory: Maximum size of leaf nodes.
leafsize - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory.Par: Maximum size of leaf nodes.
leafsize - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree: Maximum size of leaf nodes.
LEAFSIZE_ID - Static variable in class elki.clustering.kmeans.KDTreePruningKMeans.Par: Option ID for the leaf size.
LEAFSIZE_P - Static variable in class elki.index.tree.spatial.kd.MemoryKDTree.Factory.Par: Option for setting the maximum leaf size.
LEAFSIZE_P - Static variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Par: Option for setting the maximum leaf size.
LEAFSIZE_P - Static variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory.Par: Option for setting the maximum leaf size.
leafStrategy - Variable in class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy: Strategy when inserting into leaf nodes.
leafStrategy - Variable in class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Par: Strategy when inserting into leaf nodes.
leafTop - Variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance: Topmost merge of each leaf.
learningRate - Variable in class elki.projection.SNE: Initial learning rate.
learningRate - Variable in class elki.projection.TSNE: Initial learning rate.
LeastEnlargementInsertionStrategy - Class in elki.index.tree.spatial.rstarvariants.strategies.insert: The default R-Tree insertion strategy: find rectangle with least volume enlargement.
LeastEnlargementInsertionStrategy() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy: Constructor.
LeastEnlargementInsertionStrategy.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.insert: Parameterization class.
LeastEnlargementWithAreaInsertionStrategy - Class in elki.index.tree.spatial.rstarvariants.strategies.insert: A slight modification of the default R-Tree insertion strategy: find rectangle with least volume enlargement, but choose least area on ties.
LeastEnlargementWithAreaInsertionStrategy() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy: Constructor.
LeastEnlargementWithAreaInsertionStrategy.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.insert: Parameterization class.
LeastOneDimSSQSplit - Class in elki.index.tree.spatial.kd.split: Split by the best reduction in sum-of-squares, but only considering one dimension at a time.
LeastOneDimSSQSplit() - Constructor for class elki.index.tree.spatial.kd.split.LeastOneDimSSQSplit
LeastOneDimSSQSplit.Par - Class in elki.index.tree.spatial.kd.split: Parameterizer
LeastOverlapInsertionStrategy - Class in elki.index.tree.spatial.rstarvariants.strategies.insert: The choose subtree method proposed by the R*-Tree for leaf nodes.
LeastOverlapInsertionStrategy() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy: Constructor.
LeastOverlapInsertionStrategy.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.insert: Parameterization class.
LeastSSQSplit - Class in elki.index.tree.spatial.kd.split: Split by the best reduction in sum-of-squares.
LeastSSQSplit() - Constructor for class elki.index.tree.spatial.kd.split.LeastSSQSplit
LeastSSQSplit.Par - Class in elki.index.tree.spatial.kd.split: Parameterizer
LeaveOneOut - Class in elki.evaluation.classification.holdout: A leave-one-out-holdout is to provide a set of partitions of a database where each instances once hold out as a test instance while the respectively remaining instances are training instances.
LeaveOneOut() - Constructor for class elki.evaluation.classification.holdout.LeaveOneOut: Constructor.
leaves - Variable in class elki.clustering.hierarchical.birch.CFTree: Leaf node counter.
leaves - Variable in class elki.index.tree.betula.CFTree: Leaf node counter.
left - Variable in class elki.clustering.em.KDTreeEM.KDTree: Interval in sorted list
left - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.PrioritySearchBranch: Interval begin
left - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.PrioritySearchBranch: Interval begin
left - Variable in class elki.outlier.density.IsolationForest.Node: Left child, may be null
LEFT - elki.visualization.svg.SVGArrow.Direction
leftChild - Variable in class elki.clustering.correlation.cash.CASHInterval: Holds the left child.
leftChild - Variable in class elki.clustering.em.KDTreeEM.KDTree: Child nodes:
leftChild - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.KDNode: Left child node
leftChild - Variable in class elki.index.tree.metrical.vptree.VPTree.Node: child trees
leftChild - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDNode: Left child node
LEFTHAND - elki.visualization.svg.SVGSimpleLinearAxis.LabelStyle
leftNeighbor(CLIQUEUnit, int) - Method in class elki.clustering.subspace.clique.CLIQUESubspace: Returns the left neighbor of the given unit in the specified dimension.
leftOf(double[], double[], double[]) - Method in class elki.math.geometry.SweepHullDelaunay2D: Test if the double[] AD is right of AB.
leftx - Variable in class elki.math.geometry.FilteredConvexHull2D: Left bound
len - Variable in class elki.database.ids.integer.IntegerDBIDRange.Itr: Interval length.
len - Variable in class elki.database.ids.integer.IntegerDBIDRange: Length value.
len - Variable in class elki.evaluation.classification.holdout.LeaveOneOut: Size of the data set.
len - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset: Fake length and offset.
len - Variable in class elki.math.geometry.XYPlot.Curve: Size.
len - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution: Len := max - min
len - Variable in class elki.math.statistics.distribution.UniformDistribution: Len := max - min
len - Variable in class elki.svm.qmatrix.CachedQMatrix: Number of valid entries in each buffer
len - Variable in class elki.utilities.ELKIServiceRegistry.Entry: Length.
length - Variable in class elki.index.invertedlist.InMemoryInvertedIndex: Length storage.
length - Variable in class elki.itemsetmining.DenseItemset: Itemset length.
length - Variable in class elki.itemsetmining.SmallDenseItemset: Itemset length.
length() - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
length() - Method in class elki.itemsetmining.DenseItemset
length() - Method in class elki.itemsetmining.Itemset: Itemset length.
length() - Method in class elki.itemsetmining.OneItemset
length() - Method in class elki.itemsetmining.SmallDenseItemset
length() - Method in class elki.itemsetmining.SparseItemset
LengthNormalization<V extends NumberVector> - Class in elki.datasource.filter.normalization.instancewise: Class to perform a normalization on vectors to norm 1.
LengthNormalization(Norm<? super V>) - Constructor for class elki.datasource.filter.normalization.instancewise.LengthNormalization: Constructor.
LengthNormalization.Par<V extends NumberVector> - Class in elki.datasource.filter.normalization.instancewise: Parameterization class.
lengthWithoutLinefeed(CharSequence) - Static method in class elki.utilities.io.BufferedLineReader: Get the length of the string, not taking trailing linefeeds into account.
les - Variable in class elki.data.model.LinearEquationModel: Equation system
LESS_EQUAL_ONE_DOUBLE - Static variable in class elki.utilities.optionhandling.constraints.CommonConstraints: Less or equal than one.
LESS_THAN_HALF_DOUBLE - Static variable in class elki.utilities.optionhandling.constraints.CommonConstraints: Constraint: less than .5
LESS_THAN_ONE_DOUBLE - Static variable in class elki.utilities.optionhandling.constraints.CommonConstraints: Less than one.
LessConstraint - Class in elki.utilities.optionhandling.constraints: Represents a Less-Than-Number parameter constraint.
LessConstraint(double) - Constructor for class elki.utilities.optionhandling.constraints.LessConstraint: Creates a Less-Than-Number parameter constraint.
LessConstraint(int) - Constructor for class elki.utilities.optionhandling.constraints.LessConstraint: Creates a Less-Than-Number parameter constraint.
LessConstraint(Number) - Constructor for class elki.utilities.optionhandling.constraints.LessConstraint: Creates a Less-Than-Number parameter constraint.
LessEqualConstraint - Class in elki.utilities.optionhandling.constraints: Represents a Less-Equal-Than-Number parameter constraint.
LessEqualConstraint(double) - Constructor for class elki.utilities.optionhandling.constraints.LessEqualConstraint: Creates a Less-Equal-Than-Number parameter constraint.
LessEqualConstraint(int) - Constructor for class elki.utilities.optionhandling.constraints.LessEqualConstraint: Creates a Less-Equal-Than-Number parameter constraint.
LessEqualConstraint(Number) - Constructor for class elki.utilities.optionhandling.constraints.LessEqualConstraint: Creates a Less-Equal-Than-Number parameter constraint.
level - Variable in class elki.clustering.correlation.cash.CASHInterval: The level of this interval, 0 indicates the root level.
level - Variable in class elki.outlier.distance.HilOut.HilFeature: Object level
level - Variable in class elki.outlier.lof.ALOCI.Node: Level of node
level - Variable in class elki.visualization.VisualizationTask: Meta data key: Level for visualizer ordering
level() - Method in class elki.visualization.VisualizationTask: Get the level (priority) of the visualization.
level(int) - Method in class elki.visualization.VisualizationTask: Set the level (priority) of a visualization.
Level(String, int) - Constructor for class elki.logging.Logging.Level: Constructor.
LEVEL_BACKGROUND - Static variable in class elki.visualization.VisualizationTask: Background layer
LEVEL_DATA - Static variable in class elki.visualization.VisualizationTask: Data layer
LEVEL_FOREGROUND - Static variable in class elki.visualization.VisualizationTask: Passive foreground layer
LEVEL_INTERACTIVE - Static variable in class elki.visualization.VisualizationTask: Active foreground layer (interactive elements)
LEVEL_STATIC - Static variable in class elki.visualization.VisualizationTask: Static plot layer
levels - Variable in class elki.workflow.LoggingStep.Par: Enable logging levels manually
levelwiseNames - Variable in class elki.data.HierarchicalClassLabel: Holds the names on the different levels.
LevenbergMarquardtMethod - Class in elki.math.linearalgebra.fitting: Function parameter fitting using Levenberg-Marquardt method.
LevenbergMarquardtMethod(FittingFunction, double[], boolean[], double[], double[], double[]) - Constructor for class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Function fitting using Levenberg-Marquardt Method.
levenshteinDistance(String, String) - Static method in class elki.distance.strings.LevenshteinDistance: Levenshtein distance for two strings.
levenshteinDistance(String, String, int, int) - Static method in class elki.distance.strings.LevenshteinDistance: Compute the Levenshtein distance, except for prefix and postfix.
LevenshteinDistance - Class in elki.distance.strings: Classic Levenshtein distance on strings.
LevenshteinDistance() - Constructor for class elki.distance.strings.LevenshteinDistance: Deprecated.
LevenshteinDistance.Par - Class in elki.distance.strings: Parameterization class.
Leverage - Class in elki.itemsetmining.associationrules.interest: Leverage interestingness measure.
Leverage() - Constructor for class elki.itemsetmining.associationrules.interest.Leverage: Constructor.
lfac(int, double[]) - Static method in class elki.evaluation.clustering.Entropy: Get log(fac(i)) from the cache.
LibSVMFormatParser<V extends SparseNumberVector> - Class in elki.datasource.parser: Parser to read libSVM format files.
LibSVMFormatParser(SparseNumberVector.Factory<V>) - Constructor for class elki.datasource.parser.LibSVMFormatParser: Constructor.
LibSVMFormatParser.Par<V extends SparseNumberVector> - Class in elki.datasource.parser: Parameterization class.
LibSVMOneClassOutlierDetection<V extends NumberVector> - Class in elki.outlier.svm: Outlier-detection using one-class support vector machines.
LibSVMOneClassOutlierDetection(LibSVMOneClassOutlierDetection.SVMKernel, double, double) - Constructor for class elki.outlier.svm.LibSVMOneClassOutlierDetection: Constructor.
LibSVMOneClassOutlierDetection.SVMKernel - Enum in elki.outlier.svm: Kernel functions.
LID<O> - Class in elki.outlier.intrinsic: Use intrinsic dimensionality for outlier detection.
LID(Distance<? super O>, int, IntrinsicDimensionalityEstimator<? super O>) - Constructor for class elki.outlier.intrinsic.LID: Constructor.
LID.Par<O> - Class in elki.outlier.intrinsic: Parameterization class.
Lift - Class in elki.itemsetmining.associationrules.interest: Lift interestingness measure.
Lift() - Constructor for class elki.itemsetmining.associationrules.interest.Lift: Constructor.
LIGHT_GRADIENT_ID - Static variable in class elki.visualization.svg.SVGEffects: ID for the light gradient fill
LimitedReinsertOverflowTreatment - Class in elki.index.tree.spatial.rstarvariants.strategies.overflow: Limited reinsertions, as proposed by the R*-Tree: For each real insert, allow reinsertions to happen only once per level.
LimitedReinsertOverflowTreatment(ReinsertStrategy) - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment: Constructor.
LimitedReinsertOverflowTreatment.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.overflow: Parameterization class.
LimitEigenPairFilter - Class in elki.math.linearalgebra.pca.filter: The LimitEigenPairFilter marks all eigenpairs having an (absolute) eigenvalue below the specified threshold (relative or absolute) as weak eigenpairs, the others are marked as strong eigenpairs.
LimitEigenPairFilter(double, boolean) - Constructor for class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter: Constructor.
LimitEigenPairFilter.Par - Class in elki.math.linearalgebra.pca.filter: Parameterization class.
LINE_SEPARATOR - Static variable in class elki.application.GeneratorXMLSpec: Line separator for output
LINE_WIDTH - Static variable in interface elki.visualization.style.StyleLibrary: Line width
Linear(Relation<? extends O>, KNNSearcher<O>) - Constructor for class elki.database.query.knn.WrappedKNNDBIDByLookup.Linear: Constructor.
Linear(Relation<? extends O>, PrioritySearcher<O>) - Constructor for class elki.database.query.WrappedPrioritySearchDBIDByLookup.Linear: Constructor.
Linear(Relation<? extends O>, RangeSearcher<O>) - Constructor for class elki.database.query.range.WrappedRangeDBIDByLookup.Linear: Constructor.
Linear(Relation<? extends O>, RKNNSearcher<O>) - Constructor for class elki.database.query.rknn.WrappedRKNNDBIDByLookup.Linear: Constructor.
LINEAR - elki.outlier.svm.LibSVMOneClassOutlierDetection.SVMKernel
LinearDiscriminantAnalysisFilter<V extends NumberVector> - Class in elki.datasource.filter.transform: Linear Discriminant Analysis (LDA) / Fisher's linear discriminant.
LinearDiscriminantAnalysisFilter(int) - Constructor for class elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter: Constructor.
LinearDiscriminantAnalysisFilter.Par<V extends NumberVector> - Class in elki.datasource.filter.transform: Parameterization class.
LinearEquationModel - Class in elki.data.model: Cluster model containing a linear equation system for the cluster.
LinearEquationModel(LinearEquationSystem) - Constructor for class elki.data.model.LinearEquationModel: Constructor
linearEquationSystem - Variable in class elki.data.model.CorrelationAnalysisSolution: Stores the solution equations.
LinearEquationSystem - Class in elki.math.linearalgebra: Class for systems of linear equations.
LinearEquationSystem(double[][], double[]) - Constructor for class elki.math.linearalgebra.LinearEquationSystem: Constructs a linear equation system with given coefficient matrix a and right hand side b.
LinearEquationSystem(double[][], double[], int[], int[]) - Constructor for class elki.math.linearalgebra.LinearEquationSystem: Constructs a linear equation system with given coefficient matrix a and right hand side b.
LinearIntGenerator - Class in elki.utilities.datastructures.range: Generate a linear range.
LinearIntGenerator(int, int, int) - Constructor for class elki.utilities.datastructures.range.LinearIntGenerator: Constructor.
LinearKernel - Class in elki.similarity.kernel: Linear Kernel function that computes a similarity between the two feature vectors x and y defined by \(x^T\cdot y\).
LinearKernel() - Constructor for class elki.similarity.kernel.LinearKernel: Deprecated.
LinearKernel.Par - Class in elki.similarity.kernel: Parameterization class.
LinearMemoryNNChain<O extends NumberVector> - Class in elki.clustering.hierarchical: NNchain clustering algorithm with linear memory, for particular linkages (that can be aggregated) and numerical vector data only.
LinearMemoryNNChain(GeometricLinkage) - Constructor for class elki.clustering.hierarchical.LinearMemoryNNChain: Constructor.
LinearMemoryNNChain.Instance<O extends NumberVector> - Class in elki.clustering.hierarchical: Main worker instance of NNChain.
linearOnly() - Method in class elki.database.query.QueryBuilder: Only build linear-scan queries, useful as reference for evaluation of approximate methods.
LinearRegression - Class in elki.math.statistics
LinearRegression(List<DoubleDoublePair>) - Constructor for class elki.math.statistics.LinearRegression
LinearScale - Class in elki.math.scales: Class to handle a linear scale for an axis.
LinearScale(double, double) - Constructor for class elki.math.scales.LinearScale: Constructor.
LinearScaling - Class in elki.utilities.scaling: Simple linear scaling function.
LinearScaling() - Constructor for class elki.utilities.scaling.LinearScaling: Constructor with defaults resulting in identity.
LinearScaling(double) - Constructor for class elki.utilities.scaling.LinearScaling: Constructor with scaling only.
LinearScaling(double, double) - Constructor for class elki.utilities.scaling.LinearScaling: Full constructor.
LinearScaling(DoubleMinMax) - Constructor for class elki.utilities.scaling.LinearScaling: Constructor from a double minmax.
LinearScanDistanceRangeByDBID<O> - Class in elki.database.query.range: Default linear scan range query class.
LinearScanDistanceRangeByDBID(DistanceQuery<O>) - Constructor for class elki.database.query.range.LinearScanDistanceRangeByDBID: Constructor.
LinearScanDistanceRangeByObject<O> - Class in elki.database.query.range: Default linear scan range query class.
LinearScanDistanceRangeByObject(DistanceQuery<O>) - Constructor for class elki.database.query.range.LinearScanDistanceRangeByObject: Constructor.
LinearScanEuclideanKNNByObject<O extends NumberVector> - Class in elki.database.query.knn: Instance of this query for a particular database.
LinearScanEuclideanKNNByObject(PrimitiveDistanceQuery<O>) - Constructor for class elki.database.query.knn.LinearScanEuclideanKNNByObject: Constructor.
LinearScanEuclideanPrioritySearcher<Q,O extends NumberVector> - Class in elki.database.query.distance: Default linear scan search class, for Euclidean distance.
LinearScanEuclideanPrioritySearcher(DistanceQuery<O>) - Constructor for class elki.database.query.distance.LinearScanEuclideanPrioritySearcher: Constructor.
LinearScanEuclideanPrioritySearcher.ByDBID<O extends NumberVector> - Class in elki.database.query.distance: Search by DBID.
LinearScanEuclideanPrioritySearcher.ByObject<O extends NumberVector> - Class in elki.database.query.distance: Search by Object.
LinearScanEuclideanRangeByObject<O extends NumberVector> - Class in elki.database.query.range: Optimized linear scan for Euclidean distance range queries.
LinearScanEuclideanRangeByObject(DistanceQuery<O>) - Constructor for class elki.database.query.range.LinearScanEuclideanRangeByObject: Constructor.
LinearScanKNNByDBID<O> - Class in elki.database.query.knn: Instance of this query for a particular database.
LinearScanKNNByDBID(DistanceQuery<O>) - Constructor for class elki.database.query.knn.LinearScanKNNByDBID: Constructor.
LinearScanKNNByObject<O> - Class in elki.database.query.knn: Instance of this query for a particular database.
LinearScanKNNByObject(DistanceQuery<O>) - Constructor for class elki.database.query.knn.LinearScanKNNByObject: Constructor.
LinearScanPrimitiveDistanceRangeByObject<O> - Class in elki.database.query.range: Default linear scan range query class.
LinearScanPrimitiveDistanceRangeByObject(PrimitiveDistanceQuery<O>) - Constructor for class elki.database.query.range.LinearScanPrimitiveDistanceRangeByObject: Constructor.
LinearScanPrimitiveKNNByObject<O> - Class in elki.database.query.knn: Instance of this query for a particular database.
LinearScanPrimitiveKNNByObject(PrimitiveDistanceQuery<O>) - Constructor for class elki.database.query.knn.LinearScanPrimitiveKNNByObject: Constructor.
LinearScanPrimitiveSimilarityRangeByObject<O> - Class in elki.database.query.range: Default linear scan range query class.
LinearScanPrimitiveSimilarityRangeByObject(PrimitiveSimilarityQuery<O>) - Constructor for class elki.database.query.range.LinearScanPrimitiveSimilarityRangeByObject: Constructor.
LinearScanPrioritySearcher<Q,O> - Class in elki.database.query.distance: Default linear scan search class.
LinearScanPrioritySearcher(DistanceQuery<O>) - Constructor for class elki.database.query.distance.LinearScanPrioritySearcher: Constructor.
LinearScanPrioritySearcher.ByDBID<O> - Class in elki.database.query.distance: Search by DBID.
LinearScanPrioritySearcher.ByObject<O> - Class in elki.database.query.distance: Search by Object.
LinearScanQuery - Interface in elki.database.query: Marker interface for linear scan (slow, non-accelerated) queries.
LinearScanRKNNByDBID<O> - Class in elki.database.query.rknn: Default linear scan RKNN query class.
LinearScanRKNNByDBID(DistanceQuery<O>, KNNSearcher<DBIDRef>) - Constructor for class elki.database.query.rknn.LinearScanRKNNByDBID: Constructor.
LinearScanRKNNByObject<O> - Class in elki.database.query.rknn: Default linear scan RKNN query class.
LinearScanRKNNByObject(DistanceQuery<O>, KNNSearcher<DBIDRef>) - Constructor for class elki.database.query.rknn.LinearScanRKNNByObject: Constructor.
LinearScanSimilarityRangeByDBID<O> - Class in elki.database.query.range: Default linear scan range query class.
LinearScanSimilarityRangeByDBID(SimilarityQuery<O>) - Constructor for class elki.database.query.range.LinearScanSimilarityRangeByDBID: Constructor.
LinearScanSimilarityRangeByObject<O> - Class in elki.database.query.range: Default linear scan range query class.
LinearScanSimilarityRangeByObject(SimilarityQuery<O>) - Constructor for class elki.database.query.range.LinearScanSimilarityRangeByObject: Constructor.
LinearSimilarityAdapter<O> - Class in elki.distance.adapter: Adapter from a normalized similarity function to a distance function using 1 - sim.
LinearSimilarityAdapter(NormalizedSimilarity<? super O>) - Constructor for class elki.distance.adapter.LinearSimilarityAdapter: Constructor.
LinearSimilarityAdapter.Instance<O> - Class in elki.distance.adapter: Distance function instance
LinearSimilarityAdapter.Par<O> - Class in elki.distance.adapter: Parameterization class.
LinearWeight - Class in elki.math.linearalgebra.pca.weightfunctions: Linear weight function, scaled using the maximum such that it goes from 1.0 to 0.1 using: \( 1 - 0.9 \frac{\text{distance}}{\max} \)
LinearWeight() - Constructor for class elki.math.linearalgebra.pca.weightfunctions.LinearWeight
LinearWeightedExtendedNeighborhood - Class in elki.outlier.spatial.neighborhood.weighted: Neighborhood obtained by computing the k-fold closure of an existing neighborhood.
LinearWeightedExtendedNeighborhood(NeighborSetPredicate, int) - Constructor for class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood: Constructor.
LinearWeightedExtendedNeighborhood.Factory<O> - Class in elki.outlier.spatial.neighborhood.weighted: Factory class.
LinearWeightedExtendedNeighborhood.Factory.Par<O> - Class in elki.outlier.spatial.neighborhood.weighted: Parameterization class.
linelib - Variable in class elki.visualization.style.PropertiesBasedStyleLibrary: Line style library to use
lineNumber - Variable in class elki.utilities.io.BufferedLineReader: Current line number.
LineReader - Class in elki.utilities.io: Fast class to read a file, line per line.
LineReader(InputStream) - Constructor for class elki.utilities.io.LineReader: Constructor
LineReader(InputStream, int) - Constructor for class elki.utilities.io.LineReader: Constructor
LineReader(Reader) - Constructor for class elki.utilities.io.LineReader: Constructor
LineReader(Reader, int) - Constructor for class elki.utilities.io.LineReader: Constructor
lines() - Method in class elki.visualization.style.PropertiesBasedStyleLibrary
lines() - Method in interface elki.visualization.style.StyleLibrary: Get the line style library to use.
LineStyleLibrary - Interface in elki.visualization.style.lines: Interface to obtain CSS classes for plot lines.
lineTo(double[]) - Method in class elki.visualization.svg.SVGPath: Draw a line to the given coordinates.
lineTo(double, double) - Method in class elki.visualization.svg.SVGPath: Draw a line to the given coordinates.
LineVisualization - Class in elki.visualization.visualizers.parallel: Generates data lines.
LineVisualization() - Constructor for class elki.visualization.visualizers.parallel.LineVisualization: Constructor.
LineVisualization.Instance - Class in elki.visualization.visualizers.parallel: Instance for a particular data set.
linewidth - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Settings: Line width.
link(int, int) - Method in class elki.svm.qmatrix.CachedQMatrix: Link two objects in the LRU chain.
linkage - Variable in class elki.clustering.hierarchical.AGNES.Instance: Current linkage method in use.
linkage - Variable in class elki.clustering.hierarchical.AGNES: Current linkage method in use.
linkage - Variable in class elki.clustering.hierarchical.LinearMemoryNNChain.Instance: Linkage method.
linkage - Variable in class elki.clustering.hierarchical.LinearMemoryNNChain: Linkage method.
linkage - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3: Current linkage in use.
linkage - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4: Current linkage in use.
Linkage - Interface in elki.clustering.hierarchical.linkage: Abstract interface for implementing a new linkage method into hierarchical clustering.
Linkage() - Constructor for enum tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Linkage
Linkage() - Constructor for enum tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Linkage
LIST_ADD - Static variable in class elki.gui.icons.StockIcon
LIST_REMOVE - Static variable in class elki.gui.icons.StockIcon
LIST_SEP - Static variable in class elki.utilities.optionhandling.parameters.ListParameter: List separator character - ":"
LIST_SEPARATOR - Static variable in class elki.visualization.style.PropertiesBasedStyleLibrary: Separator for lists.
ListBasedColorLibrary - Class in elki.visualization.colors: Color library using the color names from a list.
ListBasedColorLibrary(String[], String) - Constructor for class elki.visualization.colors.ListBasedColorLibrary: Constructor without a properties file name.
ListEachNumberConstraint<T> - Class in elki.utilities.optionhandling.constraints: Applies numeric constraints to all elements of a list.
ListEachNumberConstraint() - Constructor for class elki.utilities.optionhandling.constraints.ListEachNumberConstraint: Constructor.
ListEachNumberConstraint(AbstractNumberConstraint) - Constructor for class elki.utilities.optionhandling.constraints.ListEachNumberConstraint: Constructor.
listener - Variable in class elki.visualization.batikutil.DragableArea: A listener to notify on drags (when not subclassing).
listenerList - Variable in class elki.gui.configurator.AbstractParameterConfigurator: The event listeners for this parameter.
listenerList - Variable in class elki.gui.configurator.ConfiguratorPanel: The event listeners for this panel.
listenerList - Variable in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor: Holds the listener.
listenerList - Variable in class elki.visualization.svg.SVGCheckbox: Event listeners
listenerList - Variable in class elki.visualization.VisualizerContext: The event listeners for this context.
listeners - Variable in class elki.result.Metadata: Attached result listeners
listeners - Variable in class elki.visualization.parallel3d.util.Simple1DOFCamera: Camera listener list.
ListParameter,T> - Class in elki.utilities.optionhandling.parameters: Abstract parameter class defining a parameter for a list of objects.
ListParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.ListParameter: Constructs a list parameter with the given optionID.
ListParameter(OptionID, T) - Constructor for class elki.utilities.optionhandling.parameters.ListParameter: Constructs a list parameter with the given optionID.
ListParameterization - Class in elki.utilities.optionhandling.parameterization: Parameterization handler using a List and OptionIDs, for programmatic use.
ListParameterization() - Constructor for class elki.utilities.optionhandling.parameterization.ListParameterization: Default constructor.
ListParameterization(Collection<ListParameterization.ParameterPair>) - Constructor for class elki.utilities.optionhandling.parameterization.ListParameterization: Constructor with an existing collection.
ListParameterization.ParameterPair - Class in elki.utilities.optionhandling.parameterization: Parameter pair, package-private.
ListSizeConstraint - Class in elki.utilities.optionhandling.constraints: Represents a list-size parameter constraint.
ListSizeConstraint(int) - Constructor for class elki.utilities.optionhandling.constraints.ListSizeConstraint: Constructs a list size constraint with the given constraint size.
live - Variable in class elki.clustering.kmeans.HartiganWongKMeans.Instance: Live set indicators
LL - elki.visualization.svg.SVGSimpleLinearAxis.Alignment
LloydKMeans<V extends NumberVector> - Class in elki.clustering.kmeans: The standard k-means algorithm, using bulk iterations and commonly attributed to Lloyd and Forgy (independently).
LloydKMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.LloydKMeans: Constructor.
LloydKMeans.Instance - Class in elki.clustering.kmeans: Inner instance, storing state for a single data set.
LloydKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans: Parameterization class.
LMCLUS - Class in elki.clustering.correlation: Linear manifold clustering in high dimensional spaces by stochastic search.
LMCLUS(int, int, int, double, RandomFactory) - Constructor for class elki.clustering.correlation.LMCLUS: Constructor.
LMCLUS.Par - Class in elki.clustering.correlation: Parameterization class
LMCLUS.Separation - Class in elki.clustering.correlation: Class to represent a linear manifold separation
LMMDistributionEstimator<D extends Distribution> - Interface in elki.math.statistics.distribution.estimator: Interface for distribution estimators based on the methods of L-Moments (LMM).
lmmests - Variable in class elki.math.statistics.distribution.estimator.meta.BestFitEstimator: L-Moment estimators.
LMomentsEstimator - Class in elki.math.statistics.intrinsicdimensionality: Probability weighted moments based estimator using L-Moments.
LMomentsEstimator() - Constructor for class elki.math.statistics.intrinsicdimensionality.LMomentsEstimator
LMomentsEstimator.Par - Class in elki.math.statistics.intrinsicdimensionality: Parameterization class.
LNGDIM_ID - Static variable in class elki.distance.geo.DimensionSelectingLatLngDistance.Par: Longitude dimension parameter.
LngLatAsECEFIndex<O extends NumberVector> - Class in elki.index.projected: Index a 2d data set (consisting of Lng/Lat pairs) by using a projection to 3D coordinates (WGS-86 to ECEF).
LngLatAsECEFIndex(Relation<? extends O>, Projection<O, O>, Relation<O>, Index, boolean) - Constructor for class elki.index.projected.LngLatAsECEFIndex: Constructor.
LngLatAsECEFIndex.Factory<O extends NumberVector> - Class in elki.index.projected: Index factory.
LngLatDistance - Class in elki.distance.geo: Distance function for 2D vectors in Longitude, Latitude form.
LngLatDistance(EarthModel) - Constructor for class elki.distance.geo.LngLatDistance: Constructor.
LngLatDistance.Par - Class in elki.distance.geo: Parameterization class.
LngLatToECEFFilter<V extends NumberVector> - Class in elki.datasource.filter.transform: Project a 2D data set (longitude, latitude) to a 3D coordinate system (X, Y, Z), such that Euclidean distance is line-of-sight.
LngLatToECEFFilter(EarthModel) - Constructor for class elki.datasource.filter.transform.LngLatToECEFFilter: Constructor.
LngLatToECEFProjection<V extends NumberVector> - Class in elki.data.projection: Project (Longitude, Latitude) vectors to (X, Y, Z), from spherical coordinates to ECEF (earth-centered earth-fixed).
LngLatToECEFProjection(EarthModel) - Constructor for class elki.data.projection.LngLatToECEFProjection: Constructor.
LnSimilarityAdapter<O> - Class in elki.distance.adapter: Adapter from a normalized similarity function to a distance function using -log(sim).
LnSimilarityAdapter(NormalizedSimilarity<? super O>) - Constructor for class elki.distance.adapter.LnSimilarityAdapter: Constructor.
LnSimilarityAdapter.Instance<O> - Class in elki.distance.adapter: Distance function instance
LnSimilarityAdapter.Par<O> - Class in elki.distance.adapter: Parameterization class.
load() - Method in class elki.gui.util.SavedSettingsFile: Read the current file
load(Class<?>) - Static method in class elki.utilities.ELKIServiceLoader: Load the service file.
load(Class<?>) - Static method in class elki.utilities.ELKIServiceScanner: Load classes via linear scanning.
load(Class<?>, ClassLoader) - Static method in class elki.utilities.ELKIServiceLoader: Load the service file.
loadCache(int, InputStream) - Method in class elki.distance.external.FileBasedSparseDoubleDistance: Fill cache from an input stream.
loadCache(int, InputStream) - Method in class elki.distance.external.FileBasedSparseFloatDistance: Fill cache from an input stream.
loadData() - Method in class elki.datasource.ArrayAdapterDatabaseConnection
loadData() - Method in class elki.datasource.BundleDatabaseConnection
loadData() - Method in class elki.datasource.ConcatenateFilesDatabaseConnection
loadData() - Method in interface elki.datasource.DatabaseConnection: Returns the initial data for a database.
loadData() - Method in class elki.datasource.DBIDRangeDatabaseConnection
loadData() - Method in class elki.datasource.EmptyDatabaseConnection
loadData() - Method in class elki.datasource.ExternalIDJoinDatabaseConnection
loadData() - Method in class elki.datasource.GeneratorXMLDatabaseConnection
loadData() - Method in class elki.datasource.InputStreamDatabaseConnection
loadData() - Method in class elki.datasource.LabelJoinDatabaseConnection
loadData() - Method in class elki.datasource.MultipleObjectsBundleDatabaseConnection
loadData() - Method in class elki.datasource.PresortedBlindJoinDatabaseConnection
loadData() - Method in class elki.datasource.RandomDoubleVectorDatabaseConnection
loadDefault(Class<T>, String) - Static method in class elki.utilities.ClassGenericsUtil: Try to load the default for a particular interface (must have a public default constructor, used for factories).
loadDenseInstance(StreamTokenizer, int[], TypeInformation[], int) - Method in class elki.datasource.parser.ArffParser
loadLatest() - Method in class elki.gui.minigui.MiniGUI: Auto-load the last task from the history file.
loadNeighbors(Database, Relation<?>) - Method in class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory: Method to load the external neighbors.
loadSparseInstance(StreamTokenizer, int[], int[], TypeInformation[], int) - Method in class elki.datasource.parser.ArffParser
loadXMLSpecification() - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Load the XML configuration file.
loc - Variable in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution: Location.
LocalIsolationCoefficient<O> - Class in elki.outlier.distance: The Local Isolation Coefficient is the sum of the kNN distance and the average distance to its k nearest neighbors.
LocalIsolationCoefficient(Distance<? super O>, int) - Constructor for class elki.outlier.distance.LocalIsolationCoefficient: Constructor with parameters.
LocalIsolationCoefficient.Par<O> - Class in elki.outlier.distance: Parameterization class.
LocalitySensitiveHashFunction<V> - Interface in elki.index.lsh.hashfunctions: Hash functions as used by locality sensitive hashing.
LocalitySensitiveHashFunctionFamily<V> - Interface in elki.index.lsh.hashfamilies: LSH family of hash functions.
localPCAs - Variable in class elki.clustering.correlation.HiCO.Instance: The storage for precomputed local PCAs
locateFile(String, String) - Static method in class elki.utilities.io.FileUtil: Try to locate an file in the filesystem, given a partial name and a prefix.
location - Variable in class elki.math.statistics.distribution.CauchyDistribution: The location (x0) parameter.
location - Variable in class elki.math.statistics.distribution.CauchyDistribution.Par: Parameters.
location - Variable in class elki.math.statistics.distribution.ExponentialDistribution: Location parameter.
location - Variable in class elki.math.statistics.distribution.ExponentialDistribution.Par: Parameters.
location - Variable in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution: Parameters: location and scale
location - Variable in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Par: Parameters.
location - Variable in class elki.math.statistics.distribution.GeneralizedLogisticDistribution: Parameters: location and scale
location - Variable in class elki.math.statistics.distribution.GeneralizedLogisticDistribution.Par: Parameters.
location - Variable in class elki.math.statistics.distribution.KappaDistribution: Parameters: location and scale
location - Variable in class elki.math.statistics.distribution.KappaDistribution.Par: Parameters.
location - Variable in class elki.math.statistics.distribution.LaplaceDistribution: Location parameter.
location - Variable in class elki.math.statistics.distribution.LaplaceDistribution.Par: Parameters.
location - Variable in class elki.math.statistics.distribution.LogisticDistribution: Parameters: location and scale
location - Variable in class elki.math.statistics.distribution.LogisticDistribution.Par: Parameters.
location - Variable in class elki.math.statistics.distribution.LogLogisticDistribution: Parameters: scale, location, and shape
location - Variable in class elki.math.statistics.distribution.LogLogisticDistribution.Par: Parameters.
LOCATION_ID - Static variable in interface elki.math.statistics.distribution.Distribution.Parameterizer: Location parameter.
LOCI<O> - Class in elki.outlier.lof: Fast Outlier Detection Using the "Local Correlation Integral".
LOCI(Distance<? super O>, double, int, double) - Constructor for class elki.outlier.lof.LOCI: Constructor.
LOCI.DoubleIntArrayList - Class in elki.outlier.lof: Array of double-int values.
lock - Variable in class elki.persistent.OnDiskArray: Lock for the file that will be kept while writing.
LOF<O> - Class in elki.outlier.lof: Algorithm to compute density-based local outlier factors in a database based on a specified parameter -lof.k.
LOF(int, Distance<? super O>) - Constructor for class elki.outlier.lof.LOF: Constructor.
LOFKNNListener(FlexibleLOF.LOFResult<O>) - Constructor for class elki.outlier.lof.OnlineLOF.LOFKNNListener: Constructs a listener for the LOF algorithm.
LOFProcessor - Class in elki.outlier.lof.parallel: Processor for computing the LOF.
LOFProcessor(DataStore<? extends KNNList>, DoubleDataStore, boolean) - Constructor for class elki.outlier.lof.parallel.LOFProcessor: Constructor.
LOFProcessor.Instance - Class in elki.outlier.lof.parallel: Instance
lofResult - Variable in class elki.outlier.lof.OnlineLOF.LOFKNNListener: Holds the result of a former run of the LOF algorithm.
LOFResult(OutlierResult, KNNSearcher<DBIDRef>, KNNSearcher<DBIDRef>, WritableDoubleDataStore, WritableDoubleDataStore) - Constructor for class elki.outlier.lof.FlexibleLOF.LOFResult: Encapsulates information generated during a run of the FlexibleLOF algorithm.
lofs - Variable in class elki.outlier.lof.FlexibleLOF.LOFResult: The LOF values of the objects.
log - Variable in class elki.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector: Logger, for progress logging.
log - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeSettings: Flag log.
log(int, double[]) - Static method in class elki.evaluation.clustering.Entropy: Cached access to log values.
log(Level, CharSequence) - Method in class elki.logging.Logging: Log a log message at the given level.
log(Level, CharSequence, Throwable) - Method in class elki.logging.Logging: Log a log message and exception at the given level.
log(LogRecord) - Method in class elki.logging.Logging: Log a given log record (should be a ELKILogRecord)
LOG - Static variable in class elki.algorithm.DependencyDerivator: The logger for this class.
LOG - Static variable in class elki.algorithm.KNNDistancesSampler: The logger for this class.
LOG - Static variable in class elki.algorithm.KNNJoin: The logger for this class.
LOG - Static variable in class elki.algorithm.statistics.AveragePrecisionAtK: The logger for this class.
LOG - Static variable in class elki.algorithm.statistics.DistanceQuantileSampler: Class logger.
LOG - Static variable in class elki.algorithm.statistics.DistanceStatisticsWithClasses: The logger for this class.
LOG - Static variable in class elki.algorithm.statistics.EvaluateRankingQuality: The logger for this class.
LOG - Static variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance: The logger for this class.
LOG - Static variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency: The logger for this class.
LOG - Static variable in class elki.algorithm.statistics.RankingQualityHistogram: The logger for this class.
LOG - Static variable in class elki.application.AbstractApplication: We need a static logger in this class, for code used in "main" methods.
LOG - Static variable in class elki.application.benchmark.KNNBenchmark: The logger for this class.
LOG - Static variable in class elki.application.benchmark.PrioritySearchBenchmark: The logger for this class.
LOG - Static variable in class elki.application.benchmark.RangeQueryBenchmark: The logger for this class.
LOG - Static variable in class elki.application.benchmark.ValidateApproximativeKNNIndex: The logger for this class.
LOG - Static variable in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: The logger for this class.
LOG - Static variable in class elki.application.cache.CacheDoubleDistanceKNNLists: The logger for this class.
LOG - Static variable in class elki.application.cache.CacheDoubleDistanceRangeQueries: The logger for this class.
LOG - Static variable in class elki.application.cache.CacheFloatDistanceInOnDiskMatrix: The logger for this class.
LOG - Static variable in class elki.application.cache.PrecomputeDistancesAsciiApplication: The logger for this class.
LOG - Static variable in class elki.application.ClassifierHoldoutEvaluationTask: Class logger.
LOG - Static variable in class elki.application.ConvertToBundleApplication: Logging class.
LOG - Static variable in class elki.application.experiments.ORLibBenchmark: Class logger.
LOG - Static variable in class elki.application.experiments.VisualizeGeodesicDistances: Get a logger for this class.
LOG - Static variable in class elki.application.GeneratorXMLSpec: The logger for this class.
LOG - Static variable in class elki.application.greedyensemble.ComputeKNNOutlierScores: Our logger class.
LOG - Static variable in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores: Get static logger.
LOG - Static variable in class elki.application.greedyensemble.GreedyEnsembleExperiment: Get static logger.
LOG - Static variable in class elki.application.greedyensemble.VisualizePairwiseGainMatrix: Get static logger.
LOG - Static variable in class elki.application.internal.CheckELKIServices: The logger for this class.
LOG - Static variable in class elki.application.internal.CheckParameterizables: The logger for this class.
LOG - Static variable in class elki.application.statistics.EstimateIntrinsicDimensionality: Class logger.
LOG - Static variable in class elki.application.statistics.RangeQuerySelectivity: The logger for this class.
LOG - Static variable in class elki.clustering.affinitypropagation.AffinityPropagation: Class logger
LOG - Static variable in class elki.clustering.BetulaLeafPreClustering: Class logger.
LOG - Static variable in class elki.clustering.biclustering.ChengAndChurch: The logger for this class.
LOG - Static variable in class elki.clustering.CanopyPreClustering: Class logger.
LOG - Static variable in class elki.clustering.CFSFDP: Class logger.
LOG - Static variable in class elki.clustering.correlation.cash.CASHInterval: Class logger.
LOG - Static variable in class elki.clustering.correlation.cash.CASHIntervalSplit: The logger of the class.
LOG - Static variable in class elki.clustering.correlation.CASH: The logger for this class.
LOG - Static variable in class elki.clustering.correlation.ERiC: The logger for this class.
LOG - Static variable in class elki.clustering.correlation.HiCO: The logger for this class.
LOG - Static variable in class elki.clustering.correlation.LMCLUS: The logger for this class.
LOG - Static variable in class elki.clustering.correlation.ORCLUS: The logger for this class.
LOG - Static variable in class elki.clustering.dbscan.DBSCAN: The logger for this class.
LOG - Static variable in class elki.clustering.dbscan.GeneralizedDBSCAN: Get a logger for this algorithm
LOG - Static variable in class elki.clustering.dbscan.GriDBSCAN: The logger for this class.
LOG - Static variable in class elki.clustering.dbscan.LSDBC: Class logger.
LOG - Static variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN: Get a logger for this algorithm
LOG - Static variable in class elki.clustering.dbscan.predicates.COPACNeighborPredicate: The logger for this class.
LOG - Static variable in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate: The logger for this class.
LOG - Static variable in class elki.clustering.dbscan.predicates.FourCNeighborPredicate: The logger for this class.
LOG - Static variable in class elki.clustering.dbscan.predicates.MinPtsCorePredicate: Class logger.
LOG - Static variable in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate: The logger for this class.
LOG - Static variable in class elki.clustering.em.BetulaGMM: Class logger.
LOG - Static variable in class elki.clustering.em.EM: The logger for this class.
LOG - Static variable in class elki.clustering.em.KDTreeEM: Logging object
LOG - Static variable in class elki.clustering.em.models.MultivariateGaussianModel: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.AGNES: Class logger
LOG - Static variable in class elki.clustering.hierarchical.Anderberg: Class logger
LOG - Static variable in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.birch.CFTree: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.CLINK: The logger for this class.
LOG - Static variable in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.HACAM: Class logger
LOG - Static variable in class elki.clustering.hierarchical.HDBSCANLinearMemory: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.LinearMemoryNNChain: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.MedoidLinkage: Class logger
LOG - Static variable in class elki.clustering.hierarchical.MiniMax: Class Logger.
LOG - Static variable in class elki.clustering.hierarchical.MiniMaxAnderberg: Class logger
LOG - Static variable in class elki.clustering.hierarchical.MiniMaxNNChain: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.NNChain: Class logger.
LOG - Static variable in class elki.clustering.hierarchical.SLINK: The logger for this class.
LOG - Static variable in class elki.clustering.hierarchical.SLINKHDBSCANLinearMemory: Class logger.
LOG - Static variable in class elki.clustering.kcenter.GreedyKCenter: Class logger
LOG - Static variable in class elki.clustering.kmeans.AnnulusKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.BestOfMultipleKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.BetulaLloydKMeans: Class logger.
LOG - Static variable in class elki.clustering.kmeans.BisectingKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.CompareMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.ElkanKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.ExponionKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.FuzzyCMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.GMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.HamerlyKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.HartiganWongKMeans: Class logger
LOG - Static variable in class elki.clustering.kmeans.initialization.AFKMC2: Class logger.
LOG - Static variable in class elki.clustering.kmeans.initialization.KMC2: Class logger.
LOG - Static variable in class elki.clustering.kmeans.initialization.KMeansPlusPlus: Class logger.
LOG - Static variable in class elki.clustering.kmeans.initialization.Ostrovsky: Class logger.
LOG - Static variable in class elki.clustering.kmeans.initialization.SphericalAFKMC2: Class logger.
LOG - Static variable in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus: Class logger.
LOG - Static variable in class elki.clustering.kmeans.KDTreeFilteringKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.KDTreePruningKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.KMeansMinusMinus: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.KMediansLloyd: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.LloydKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.MacQueenKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.parallel.ParallelLloydKMeans: Class logger
LOG - Static variable in class elki.clustering.kmeans.ShallotKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.SimplifiedElkanKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.SingleAssignmentKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.SortMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.spherical.SphericalElkanKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.spherical.SphericalKMeans: Class logger
LOG - Static variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans: Class logger
LOG - Static variable in class elki.clustering.kmeans.XMeans: The logger for this class.
LOG - Static variable in class elki.clustering.kmeans.YinYangKMeans: Class logger
LOG - Static variable in class elki.clustering.kmedoids.AlternatingKMedoids: The logger for this class.
LOG - Static variable in class elki.clustering.kmedoids.CLARA: Class logger.
LOG - Static variable in class elki.clustering.kmedoids.CLARANS: Class logger.
LOG - Static variable in class elki.clustering.kmedoids.EagerPAM: The logger for this class.
LOG - Static variable in class elki.clustering.kmedoids.FastCLARA: Class logger.
LOG - Static variable in class elki.clustering.kmedoids.FastCLARANS: Class logger.
LOG - Static variable in class elki.clustering.kmedoids.FasterCLARA: Class logger.
LOG - Static variable in class elki.clustering.kmedoids.FasterPAM: The logger for this class.
LOG - Static variable in class elki.clustering.kmedoids.FastPAM: The logger for this class.
LOG - Static variable in class elki.clustering.kmedoids.FastPAM1: The logger for this class.
LOG - Static variable in class elki.clustering.kmedoids.initialization.AlternateRefinement: Class logger.
LOG - Static variable in class elki.clustering.kmedoids.initialization.BUILD: Class logger.
LOG - Static variable in class elki.clustering.kmedoids.initialization.GreedyG: Class logger.
LOG - Static variable in class elki.clustering.kmedoids.initialization.LAB: Class logger.
LOG - Static variable in class elki.clustering.kmedoids.initialization.ParkJun: Class logger.
LOG - Static variable in class elki.clustering.kmedoids.PAM: The logger for this class.
LOG - Static variable in class elki.clustering.kmedoids.ReynoldsPAM: The logger for this class.
LOG - Static variable in class elki.clustering.kmedoids.SingleAssignmentKMedoids: The logger for this class.
LOG - Static variable in class elki.clustering.Leader: Class logger.
LOG - Static variable in class elki.clustering.meta.ExternalClustering: The logger for this class.
LOG - Static variable in class elki.clustering.NaiveMeanShiftClustering: Class logger.
LOG - Static variable in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering: Class logger.
LOG - Static variable in class elki.clustering.optics.DeLiClu: The logger for this class.
LOG - Static variable in class elki.clustering.optics.FastOPTICS: Class logger.
LOG - Static variable in class elki.clustering.optics.OPTICSHeap: The logger for this class.
LOG - Static variable in class elki.clustering.optics.OPTICSList: The logger for this class.
LOG - Static variable in class elki.clustering.optics.OPTICSXi: The logger for this class.
LOG - Static variable in class elki.clustering.silhouette.FasterMSC: The logger for this class.
LOG - Static variable in class elki.clustering.silhouette.FastMSC: The logger for this class.
LOG - Static variable in class elki.clustering.silhouette.PAMMEDSIL: The logger for this class.
LOG - Static variable in class elki.clustering.silhouette.PAMSIL: The logger for this class.
LOG - Static variable in class elki.clustering.SNNClustering: The logger for this class.
LOG - Static variable in class elki.clustering.subspace.CLIQUE: The logger for this class.
LOG - Static variable in class elki.clustering.subspace.DiSH: The logger for this class.
LOG - Static variable in class elki.clustering.subspace.DOC: The logger for this class.
LOG - Static variable in class elki.clustering.subspace.FastDOC: The logger for this class.
LOG - Static variable in class elki.clustering.subspace.HiSC: The logger for this class.
LOG - Static variable in class elki.clustering.subspace.P3C: The logger for this class.
LOG - Static variable in class elki.clustering.subspace.PROCLUS: The logger for this class.
LOG - Static variable in class elki.clustering.subspace.SUBCLU: The logger for this class.
LOG - Static variable in class elki.clustering.svm.SupportVectorClustering: Class logger.
LOG - Static variable in class elki.clustering.trivial.ByLabelHierarchicalClustering: The logger for this class.
LOG - Static variable in class elki.clustering.uncertain.RepresentativeUncertainClustering: Initialize a Logger.
LOG - Static variable in class elki.clustering.uncertain.UKMeans: Class logger.
LOG - Static variable in class elki.data.projection.RandomProjection: Class logger.
LOG - Static variable in class elki.data.synthetic.bymodel.GeneratorMain: Class logger.
LOG - Static variable in class elki.database.HashmapDatabase: Our logger
LOG - Static variable in class elki.database.ProxyDatabase: Logger class.
LOG - Static variable in class elki.database.query.EmpiricalQueryOptimizer: Class logger.
LOG - Static variable in class elki.database.query.knn.PreprocessorKNNQuery: Class logger
LOG - Static variable in class elki.database.query.knn.PreprocessorSqrtKNNQuery: Class logger
LOG - Static variable in class elki.database.query.knn.PreprocessorSquaredKNNQuery: Class logger
LOG - Static variable in class elki.database.query.QueryBuilder: Class logger.
LOG - Static variable in class elki.database.StaticArrayDatabase: Our logger
LOG - Static variable in class elki.datasource.ArrayAdapterDatabaseConnection: Class logger.
LOG - Static variable in class elki.datasource.bundle.BundleWriter: Class logger for the bundle writer.
LOG - Static variable in class elki.datasource.bundle.MultipleObjectsBundle: Class logger.
LOG - Static variable in class elki.datasource.BundleDatabaseConnection: Class logger.
LOG - Static variable in class elki.datasource.ConcatenateFilesDatabaseConnection: Class logger.
LOG - Static variable in class elki.datasource.EmptyDatabaseConnection: Static logger
LOG - Static variable in class elki.datasource.ExternalIDJoinDatabaseConnection: Logger
LOG - Static variable in class elki.datasource.filter.cleaning.DropNaNFilter: Class logger
LOG - Static variable in class elki.datasource.filter.cleaning.NoMissingValuesFilter: Class logger
LOG - Static variable in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter: Class logger
LOG - Static variable in class elki.datasource.filter.cleaning.VectorDimensionalityFilter: Class logger.
LOG - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization: Class logger.
LOG - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization: Class logger.
LOG - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization: Class logger.
LOG - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization: Class logger.
LOG - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization: Class logger.
LOG - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization: Class logger.
LOG - Static variable in class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization: Class logger.
LOG - Static variable in class elki.datasource.filter.selection.ByLabelFilter: Class logger
LOG - Static variable in class elki.datasource.filter.selection.ShuffleObjectsFilter: Class logger
LOG - Static variable in class elki.datasource.filter.selection.SortByLabelFilter: Class logger
LOG - Static variable in class elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform: Class logger.
LOG - Static variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform: Class logger.
LOG - Static variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform: Class logger.
LOG - Static variable in class elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter: Class logger.
LOG - Static variable in class elki.datasource.filter.transform.PerturbationFilter: Class logger
LOG - Static variable in class elki.datasource.filter.typeconversions.SparseVectorFieldFilter: Class logger.
LOG - Static variable in class elki.datasource.filter.typeconversions.UncertainifyFilter: Class logger.
LOG - Static variable in class elki.datasource.filter.typeconversions.UncertainSplitFilter: Class logger.
LOG - Static variable in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter: Class logger.
LOG - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Logger
LOG - Static variable in class elki.datasource.InputStreamDatabaseConnection: The logger for this class.
LOG - Static variable in class elki.datasource.LabelJoinDatabaseConnection: Logger
LOG - Static variable in class elki.datasource.parser.ArffParser: Logger.
LOG - Static variable in class elki.datasource.parser.BitVectorLabelParser: Class logger
LOG - Static variable in class elki.datasource.parser.CategorialDataAsNumberVectorParser: Logging class.
LOG - Static variable in class elki.datasource.parser.ClusteringVectorParser: Class logger.
LOG - Static variable in class elki.datasource.parser.LibSVMFormatParser: Class logger.
LOG - Static variable in class elki.datasource.parser.NumberVectorLabelParser: Logging class.
LOG - Static variable in class elki.datasource.parser.SimplePolygonParser: Class logger
LOG - Static variable in class elki.datasource.parser.SimpleTransactionParser: Class logger.
LOG - Static variable in class elki.datasource.parser.SparseNumberVectorLabelParser: Class logger.
LOG - Static variable in class elki.datasource.parser.TermFrequencyParser: Class logger.
LOG - Static variable in class elki.datasource.PresortedBlindJoinDatabaseConnection: Logger
LOG - Static variable in class elki.datasource.RandomDoubleVectorDatabaseConnection: Class logger.
LOG - Static variable in class elki.distance.external.AsciiDistanceParser: The logger for this class.
LOG - Static variable in class elki.distance.external.DiskCacheBasedDoubleDistance: Class logger.
LOG - Static variable in class elki.distance.external.DiskCacheBasedFloatDistance: Class logger.
LOG - Static variable in class elki.distance.external.FileBasedSparseDoubleDistance: Class logger.
LOG - Static variable in class elki.distance.external.FileBasedSparseFloatDistance: Class logger.
LOG - Static variable in class elki.evaluation.AutomaticEvaluation: Class logger
LOG - Static variable in class elki.evaluation.clustering.EvaluateClustering: Logger for debug output.
LOG - Static variable in class elki.evaluation.clustering.internal.CIndex: Logger for debug output.
LOG - Static variable in class elki.evaluation.clustering.internal.ClusterRadius: Logger for debug output.
LOG - Static variable in class elki.evaluation.clustering.internal.ConcordantPairsGammaTau: Logger for debug output.
LOG - Static variable in class elki.evaluation.clustering.internal.DaviesBouldinIndex: Logger for debug output.
LOG - Static variable in class elki.evaluation.clustering.internal.PBMIndex: Logger for debug output.
LOG - Static variable in class elki.evaluation.clustering.internal.Silhouette: Logger for debug output.
LOG - Static variable in class elki.evaluation.clustering.internal.SimplifiedSilhouette: Logger for debug output.
LOG - Static variable in class elki.evaluation.clustering.internal.SquaredErrors: Logger for debug output.
LOG - Static variable in class elki.evaluation.clustering.internal.VarianceRatioCriterion: Logger for debug output.
LOG - Static variable in class elki.evaluation.clustering.LogClusterSizes: Class logger
LOG - Static variable in class elki.evaluation.clustering.pairsegments.Segments: Class logger
LOG - Static variable in class elki.evaluation.outlier.JudgeOutlierScores: Logger for debug output.
LOG - Static variable in class elki.evaluation.outlier.OutlierPrecisionAtKCurve: The logger.
LOG - Static variable in class elki.evaluation.outlier.OutlierPrecisionRecallCurve: The logger.
LOG - Static variable in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve: The logger.
LOG - Static variable in class elki.evaluation.outlier.OutlierRankingEvaluation: The logger.
LOG - Static variable in class elki.evaluation.outlier.OutlierROCCurve: The logger.
LOG - Static variable in class elki.evaluation.outlier.OutlierSmROCCurve: The logger.
LOG - Static variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage: The logger.
LOG - Static variable in class elki.gui.minigui.MiniGUI: ELKI logger for the GUI.
LOG - Static variable in class elki.gui.multistep.MultiStepGUI: ELKI logger for the GUI
LOG - Static variable in class elki.gui.multistep.panels.ParameterTabPanel: ELKI logger for the GUI
LOG - Static variable in class elki.gui.multistep.panels.SavedSettingsTabPanel: Logger
LOG - Static variable in class elki.gui.util.ParametersModel: Logger
LOG - Static variable in class elki.index.distancematrix.PrecomputedDistanceMatrix: Class logger.
LOG - Static variable in class elki.index.distancematrix.PrecomputedSimilarityMatrix: Class logger.
LOG - Static variable in class elki.index.idistance.InMemoryIDistanceIndex: Class logger.
LOG - Static variable in class elki.index.invertedlist.InMemoryInvertedIndex: Class logger.
LOG - Static variable in class elki.index.laesa.LAESA: Class logger.
LOG - Static variable in class elki.index.lsh.InMemoryLSHIndex: Class logger
LOG - Static variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Class logger.
LOG - Static variable in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor: Class logger.
LOG - Static variable in class elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor: Logging class.
LOG - Static variable in class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor: Logger to use.
LOG - Static variable in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor: Logger to use.
LOG - Static variable in class elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor: Logger to use
LOG - Static variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Class logger.
LOG - Static variable in class elki.index.preprocessed.knn.NNDescent: Logger
LOG - Static variable in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor: Logger to use
LOG - Static variable in class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor: Logger
LOG - Static variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Class logger
LOG - Static variable in class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor: Class logger
LOG - Static variable in class elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor: Logger to use
LOG - Static variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor: Get a logger for this class.
LOG - Static variable in class elki.index.projected.ProjectedIndex: Class logger
LOG - Static variable in class elki.index.tree.betula.CFTree: Class logger.
LOG - Static variable in class elki.index.tree.metrical.covertree.CoverTree: Class logger.
LOG - Static variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree: Class logger.
LOG - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: The logger for this class.
LOG - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode: Class logger.
LOG - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: The logger for this class.
LOG - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: The logger for this class.
LOG - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: The logger for this class.
LOG - Static variable in class elki.index.tree.metrical.mtreevariants.mtree.MTree: The logger for this class.
LOG - Static variable in class elki.index.tree.metrical.vptree.GNAT: Class logger.
LOG - Static variable in class elki.index.tree.metrical.vptree.VPTree: Class logger.
LOG - Static variable in class elki.index.tree.spatial.kd.MemoryKDTree: Class logger
LOG - Static variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree: Class logger
LOG - Static variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree: Class logger
LOG - Static variable in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: The logger for this class.
LOG - Static variable in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: The appropriate logger for this index.
LOG - Static variable in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree: The logger for this class.
LOG - Static variable in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex: The appropriate logger for this index.
LOG - Static variable in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: The logger for this class.
LOG - Static variable in class elki.index.tree.spatial.rstarvariants.rstar.RStarTree: The logger for this class.
LOG - Static variable in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: The appropriate logger for this index.
LOG - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit: Logger.
LOG - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit: Logger class
LOG - Static variable in class elki.index.vafile.PartialVAFile: Class logger.
LOG - Static variable in class elki.index.vafile.VAFile: Logging class.
LOG - Static variable in class elki.itemsetmining.APRIORI: The logger for this class.
LOG - Static variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration: Class logger.
LOG - Static variable in class elki.itemsetmining.Eclat: Class logger.
LOG - Static variable in class elki.itemsetmining.FPGrowth: Class logger.
LOG - Static variable in class elki.math.geometry.SweepHullDelaunay2D: Class logger
LOG - Static variable in class elki.math.linearalgebra.LinearEquationSystem: Logger.
LOG - Static variable in class elki.math.statistics.dependence.PearsonCorrelationDependence: Class logger.
LOG - Static variable in class elki.math.statistics.distribution.estimator.meta.BestFitEstimator: Class logger.
LOG - Static variable in class elki.outlier.anglebased.LBABOD: The logger for this class.
LOG - Static variable in class elki.outlier.clustering.CBLOF: The logger for this class.
LOG - Static variable in class elki.outlier.clustering.EMOutlier: The logger for this class.
LOG - Static variable in class elki.outlier.clustering.KMeansOutlierDetection: Class logger.
LOG - Static variable in class elki.outlier.COP: The logger for this class.
LOG - Static variable in class elki.outlier.density.HySortOD: The logger for this class.
LOG - Static variable in class elki.outlier.density.IsolationForest: Class logger
LOG - Static variable in class elki.outlier.distance.DBOutlierDetection: The logger for this class.
LOG - Static variable in class elki.outlier.distance.DBOutlierScore: The logger for this class.
LOG - Static variable in class elki.outlier.distance.HilOut: The logger for this class.
LOG - Static variable in class elki.outlier.distance.KNNDD: The logger for this class.
LOG - Static variable in class elki.outlier.distance.KNNOutlier: The logger for this class.
LOG - Static variable in class elki.outlier.distance.KNNSOS: Class logger.
LOG - Static variable in class elki.outlier.distance.KNNWeightOutlier: The logger for this class.
LOG - Static variable in class elki.outlier.distance.LocalIsolationCoefficient: The logger for this class.
LOG - Static variable in class elki.outlier.distance.SOS: Class logger.
LOG - Static variable in class elki.outlier.DWOF: The logger for this class.
LOG - Static variable in class elki.outlier.intrinsic.IDOS: The logger for this class.
LOG - Static variable in class elki.outlier.intrinsic.ISOS: Class logger.
LOG - Static variable in class elki.outlier.intrinsic.LID: Class logger.
LOG - Static variable in class elki.outlier.lof.ALOCI: The logger for this class.
LOG - Static variable in class elki.outlier.lof.COF: The logger for this class.
LOG - Static variable in class elki.outlier.lof.FlexibleLOF: The logger for this class.
LOG - Static variable in class elki.outlier.lof.INFLO: The logger for this class.
LOG - Static variable in class elki.outlier.lof.KDEOS: Class logger.
LOG - Static variable in class elki.outlier.lof.LDF: The logger for this class.
LOG - Static variable in class elki.outlier.lof.LDOF: The logger for this class.
LOG - Static variable in class elki.outlier.lof.LOCI: The logger for this class.
LOG - Static variable in class elki.outlier.lof.LOF: The logger for this class.
LOG - Static variable in class elki.outlier.lof.LoOP: The logger for this class.
LOG - Static variable in class elki.outlier.lof.OnlineLOF: The logger for this class.
LOG - Static variable in class elki.outlier.lof.SimpleKernelDensityLOF: The logger for this class.
LOG - Static variable in class elki.outlier.lof.SimplifiedLOF: The logger for this class.
LOG - Static variable in class elki.outlier.lof.VarianceOfVolume: The logger for this class.
LOG - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore: The logger for this class.
LOG - Static variable in class elki.outlier.meta.FeatureBagging: The logger for this class.
LOG - Static variable in class elki.outlier.meta.HiCS: The Logger for this class.
LOG - Static variable in class elki.outlier.meta.SimpleOutlierEnsemble: The logger for this class.
LOG - Static variable in class elki.outlier.SimpleCOP: The logger for this class.
LOG - Static variable in class elki.outlier.spatial.CTLuMeanMultipleAttributes: Logger
LOG - Static variable in class elki.outlier.spatial.CTLuMedianMultipleAttributes: logger
LOG - Static variable in class elki.outlier.spatial.CTLuRandomWalkEC: Class logger
LOG - Static variable in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood: The logger to use.
LOG - Static variable in class elki.outlier.spatial.neighborhood.ExternalNeighborhood: Logger
LOG - Static variable in class elki.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood: Logger
LOG - Static variable in class elki.outlier.spatial.TrimmedMeanApproach: The logger for this class.
LOG - Static variable in class elki.outlier.subspace.AggarwalYuEvolutionary: The logger for this class.
LOG - Static variable in class elki.outlier.subspace.AggarwalYuNaive: The logger for this class.
LOG - Static variable in class elki.outlier.subspace.OUTRES: The logger for this class.
LOG - Static variable in class elki.outlier.subspace.SOD: The logger for this class.
LOG - Static variable in class elki.outlier.svm.LibSVMOneClassOutlierDetection: Class logger.
LOG - Static variable in class elki.outlier.svm.OCSVM: Class logger.
LOG - Static variable in class elki.outlier.svm.SVDD: Class logger.
LOG - Static variable in class elki.outlier.trivial.TrivialGeneratedOutlier: Class logger
LOG - Static variable in class elki.persistent.LRUCache: Our class logger.
LOG - Static variable in class elki.persistent.MemoryPageFile: Class logger.
LOG - Static variable in class elki.persistent.OnDiskArrayPageFile: Class logger.
LOG - Static variable in class elki.persistent.PersistentPageFile: Our logger
LOG - Static variable in class elki.projection.BarnesHutTSNE: Class logger.
LOG - Static variable in class elki.projection.GaussianAffinityMatrixBuilder: Class logger.
LOG - Static variable in class elki.projection.IntrinsicNearestNeighborAffinityMatrixBuilder: Class logger.
LOG - Static variable in class elki.projection.NearestNeighborAffinityMatrixBuilder: Class logger.
LOG - Static variable in class elki.projection.PerplexityAffinityMatrixBuilder: Class logger.
LOG - Static variable in class elki.projection.SNE: Class logger.
LOG - Static variable in class elki.projection.TSNE: Class logger.
LOG - Static variable in class elki.result.AutomaticVisualization: Get a logger for this class.
LOG - Static variable in class elki.result.ClusteringVectorDumper: Class logger.
LOG - Static variable in class elki.result.ExportVisualizations: Get a logger for this class.
LOG - Static variable in class elki.result.KMLOutputHandler: Logger class to use.
LOG - Static variable in class elki.result.LogResultStructureResultHandler: Class logger
LOG - Static variable in class elki.result.Metadata: Class logger
LOG - Static variable in class elki.result.ResultWriter: The logger for this class.
LOG - Static variable in class elki.result.textwriter.MultipleFilesOutput: Logger for debugging.
LOG - Static variable in class elki.svm.CSVC
LOG - Static variable in class elki.svm.EpsilonSVR
LOG - Static variable in class elki.svm.model.ProbabilisticClassificationModel: Class logger
LOG - Static variable in class elki.svm.NuSVC
LOG - Static variable in class elki.svm.NuSVR
LOG - Static variable in class elki.svm.OneClassSVM
LOG - Static variable in class elki.svm.R2q
LOG - Static variable in class elki.svm.solver.Solver
LOG - Static variable in class elki.svm.SVDD
LOG - Static variable in class elki.utilities.ClassGenericsUtil: Static logger to use.
LOG - Static variable in class elki.utilities.datastructures.KuhnMunkres: Class logger
LOG - Static variable in class elki.utilities.ELKIBuilder: Class logger.
LOG - Static variable in class elki.utilities.ELKIServiceRegistry: Class logger.
LOG - Static variable in class elki.utilities.ELKIServiceScanner: Class logger
LOG - Static variable in class elki.utilities.io.ParseUtil: Logging helper.
LOG - Static variable in class elki.utilities.io.Tokenizer: Class logger.
LOG - Static variable in class elki.utilities.optionhandling.parameterization.AbstractParameterization: The logger of the class.
LOG - Static variable in class elki.utilities.optionhandling.parameters.ClassParameter: The class logger.
LOG - Static variable in class elki.utilities.referencepoints.GridBasedReferencePoints: Class logger.
LOG - Static variable in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling: The logger for this class.
LOG - Static variable in class elki.utilities.scaling.outlier.SigmoidOutlierScaling: The logger for this class.
LOG - Static variable in class elki.visualization.batikutil.ThumbnailRegistryEntry: The logger class.
LOG - Static variable in class elki.visualization.gui.detail.DetailView: Class logger
LOG - Static variable in class elki.visualization.gui.overview.OverviewPlot: Our logging class
LOG - Static variable in class elki.visualization.gui.overview.RectangleArranger: Logging class
LOG - Static variable in class elki.visualization.gui.SelectionTableWindow: The logger
LOG - Static variable in class elki.visualization.opticsplot.OPTICSPlot: Logger
LOG - Static variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates: Logging class.
LOG - Static variable in class elki.visualization.parallel3d.Parallel3DRenderer: Logging class.
LOG - Static variable in class elki.visualization.savedialog.SVGSaveDialog: Static logger reference
LOG - Static variable in class elki.visualization.silhouette.SilhouettePlot: Logger
LOG - Static variable in class elki.visualization.style.PropertiesBasedStyleLibrary: Logger
LOG - Static variable in class elki.visualization.VisualizerContext: Logger.
LOG - Static variable in class elki.visualization.VisualizerParameterizer: Get a logger for this class.
LOG - Static variable in class elki.visualization.visualizers.optics.OPTICSClusterVisualization: The logger for this class.
LOG - Static variable in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization: The logger for this class.
LOG - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer: Class logger
LOG - Static variable in class elki.visualization.visualizers.parallel.ParallelAxisVisualization: Class logger
LOG - Static variable in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization: The logger for this class.
LOG - Static variable in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization: Class logger.
LOG - Static variable in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization: The logger for this class.
LOG - Static variable in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization: The logger for this class.
LOG - Static variable in class elki.workflow.AlgorithmStep: Logger
LOG - Static variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1: Class logger
LOG - Static variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2: Class logger
LOG - Static variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3: Class logger
LOG - Static variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4: Class logger
LOG - Static variable in class tutorial.clustering.SameSizeKMeans: Class logger
LOG_HELPER - Static variable in class elki.outlier.svm.LibSVMOneClassOutlierDetection: Setup logging helper for SVM.
log_k - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: The values of log(1),..
LOG_NOT_FROM_ONE_CLUSTER_PROBABILITY - Static variable in class elki.clustering.correlation.LMCLUS: Epsilon
LOG_ONE_BY_SQRTTWOPI - Static variable in class elki.math.MathUtil: Precomputed value of log(1 / sqrt(2 * pi)) = -.5 * log(2*pi).
LOG_PRECISION - Static variable in class elki.math.statistics.dependence.SlopeDependence: Precision for entropy normalization.
LOG10 - Static variable in class elki.math.MathUtil: Natural logarithm of 10.
log10res - Variable in class elki.math.scales.LinearScale: Scale resolution in log10.
log1mexp(double) - Static method in class elki.math.MathUtil: More stable than FastMath.log(1 - FastMath.exp(x))
Log1PlusNormalization<V extends NumberVector> - Class in elki.datasource.filter.normalization.instancewise: Normalize the data set by applying \( \frac{\log(1+|x|b)}{\log 1+b} \) to any value.
Log1PlusNormalization(double) - Constructor for class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization: Constructor.
Log1PlusNormalization.Par<V extends NumberVector> - Class in elki.datasource.filter.normalization.instancewise: Parameterization class.
log2(double) - Static method in class elki.math.MathUtil: Compute the base 2 logarithm.
LOG2 - Static variable in class elki.math.MathUtil: Logarithm of 2 to the basis e, for logarithm conversion.
log2OrZero(double) - Static method in class elki.clustering.subspace.CLIQUE: Robust log 2, that ignores zero values.
LOG3 - Static variable in class elki.math.MathUtil: Logarithm of 3 to the basis e, for logarithm conversion.
logAndClearReportedErrors() - Method in class elki.utilities.optionhandling.parameterization.AbstractParameterization: Log any error that has accumulated.
logbab - Variable in class elki.math.statistics.distribution.BetaDistribution: Log beta(a, b) cache
logbase - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution: Logarithm of base.
logBeta(double, double) - Static method in class elki.math.statistics.distribution.BetaDistribution: Compute log beta(a,b)
logcdf(double, double, double) - Static method in class elki.math.statistics.distribution.GammaDistribution: The log CDF, static version.
logcdf(double, double, double) - Static method in class elki.math.statistics.distribution.KappaDistribution: Cumulative density function, for location = 0, scale = 1
logcdf(double, double, double) - Static method in class elki.math.statistics.distribution.LogisticDistribution: log Cumulative density function.
logcdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.ExpGammaDistribution: The log CDF, static version.
logcdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution: log Cumulative density function.
logcdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.LogGammaDistribution: The log CDF, static version.
logcdf(double, double, double, double, double) - Static method in class elki.math.statistics.distribution.KappaDistribution: Cumulative density function.
logClusterSizes(Clustering<C>) - Static method in class elki.evaluation.clustering.LogClusterSizes: Log the cluster sizes of a clustering.
logClusterSizes(String, int, Object2ObjectOpenCustomHashMap<long[], List<ArrayModifiableDBIDs>>) - Method in class elki.clustering.subspace.DiSH: Log cluster sizes in verbose mode.
LogClusterSizes - Class in elki.evaluation.clustering: This class will log simple statistics on the clusters detected, such as the cluster sizes and the number of clusters.
LogClusterSizes() - Constructor for class elki.evaluation.clustering.LogClusterSizes
logExpensive(Level, String) - Static method in class elki.logging.LoggingUtil: Expensive logging function that is convenient, but should only be used in rare conditions.
logExpensive(Level, String, Throwable) - Static method in class elki.logging.LoggingUtil: Expensive logging function that is convenient, but should only be used in rare conditions.
logGamma(double) - Static method in class elki.math.statistics.distribution.GammaDistribution: Compute logGamma.
LOGGAMMA_G - Static variable in class elki.math.statistics.distribution.GammaDistribution: Constant used in the logGamma function.
LogGammaDistribution - Class in elki.math.statistics.distribution: Log-Gamma Distribution, with random generation and density functions.
LogGammaDistribution(double, double) - Constructor for class elki.math.statistics.distribution.LogGammaDistribution: Constructor for Gamma distribution.
LogGammaDistribution(double, double, double) - Constructor for class elki.math.statistics.distribution.LogGammaDistribution: Constructor for Gamma distribution.
LogGammaDistribution.Par - Class in elki.math.statistics.distribution: Parameterization class
LogGammaLogMOMEstimator - Class in elki.math.statistics.distribution.estimator: Simple parameter estimation for the LogGamma distribution.
LogGammaLogMOMEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LogGammaLogMOMEstimator: Private constructor.
LogGammaLogMOMEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
logger - Variable in class elki.logging.Logging: Wrapped logger of this instance - not static!
LOGGER_ELKI_TOP - Static variable in class elki.logging.LoggingConfiguration: Logger for ELKI top level package.
LOGGER_GLOBAL_TOP - Static variable in class elki.logging.LoggingConfiguration: Top level logger.
LOGGER_TIME_TOP - Static variable in class elki.logging.LoggingConfiguration: Logger for ELKI timing.
loggers - Static variable in class elki.logging.Logging: HashMap to keep track of loggers.
Logging - Class in elki.logging: This class is a wrapper around Logger and LogManager offering additional convenience functions.
Logging(Logger) - Constructor for class elki.logging.Logging: Constructor, wrapping a logger.
LOGGING_PROPERTIES_FILE - Static variable in class elki.logging.LoggingConfiguration: Configuration file name
Logging.Level - Class in elki.logging: Logging Level class.
LoggingConfiguration - Class in elki.logging: Facility for configuration of logging.
LoggingConfiguration(String, String) - Constructor for class elki.logging.LoggingConfiguration: Configure Java Logging API: LogManager
LoggingStep - Class in elki.workflow: Pseudo-step to configure logging / verbose mode.
LoggingStep(Level, String[][]) - Constructor for class elki.workflow.LoggingStep: Constructor.
LoggingStep.Par - Class in elki.workflow: Parameterization class.
LoggingTabPanel - Class in elki.gui.multistep.panels: Panel to handle logging
LoggingTabPanel() - Constructor for class elki.gui.multistep.panels.LoggingTabPanel: Constructor.
LoggingUtil - Class in elki.logging: This final class contains some static convenience methods for logging.
LoggingUtil() - Constructor for class elki.logging.LoggingUtil: Private constructor.
logIndexStatistics(Database) - Method in class elki.application.benchmark.KNNBenchmark: Log index statistics before and after querying.
logIndexStatistics(Database) - Method in class elki.application.benchmark.PrioritySearchBenchmark: Log index statistics before and after querying.
logIndexStatistics(Database) - Method in class elki.application.benchmark.RangeQueryBenchmark: Log index statistics before and after querying.
LogisticDistribution - Class in elki.math.statistics.distribution: Logistic distribution.
LogisticDistribution(double, double) - Constructor for class elki.math.statistics.distribution.LogisticDistribution: Constructor.
LogisticDistribution.Par - Class in elki.math.statistics.distribution: Parameterization class
LogisticLMMEstimator - Class in elki.math.statistics.distribution.estimator: Estimate the parameters of a Logistic Distribution, using the methods of L-Moments (LMM).
LogisticLMMEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LogisticLMMEstimator: Constructor.
LogisticLMMEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
LogisticMADEstimator - Class in elki.math.statistics.distribution.estimator: Estimate Logistic distribution parameters using Median and MAD.
LogisticMADEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LogisticMADEstimator: Private constructor, use static instance!
LogisticMADEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
logl - Variable in class elki.outlier.GaussianUniformMixture: log(l) precomputed
logLikelihood(Relation<? extends NumberVector>, Clustering<? extends MeanModel>, NumberVectorDistance<?>) - Static method in class elki.clustering.kmeans.quality.AbstractKMeansQualityMeasure: Computes log likelihood of an entire clustering.
loglikelihoodAnomalous(DBIDs) - Method in class elki.outlier.GaussianUniformMixture: Loglikelihood anomalous objects.
loglikelihoodNormal(DBIDs, SetDBIDs, CovarianceMatrix, Relation<? extends NumberVector>) - Method in class elki.outlier.GaussianUniformMixture: Computes the loglikelihood of all normal objects.
logLikelihoodXMeans(Relation<? extends NumberVector>, Clustering<? extends MeanModel>, NumberVectorDistance<?>) - Static method in class elki.clustering.kmeans.quality.BayesianInformationCriterionXMeans: Computes log likelihood of an entire clustering.
logLikelihoodZhao(Relation<? extends NumberVector>, Clustering<? extends MeanModel>, NumberVectorDistance<?>) - Static method in class elki.clustering.kmeans.quality.BayesianInformationCriterionZhao: Computes log likelihood of an entire clustering.
LOGLOG2 - Static variable in class elki.math.MathUtil: log(log(2))
LogLogisticDistribution - Class in elki.math.statistics.distribution: Log-Logistic distribution also known as Fisk distribution.
LogLogisticDistribution(double, double, double) - Constructor for class elki.math.statistics.distribution.LogLogisticDistribution: Constructor.
LogLogisticDistribution.Par - Class in elki.math.statistics.distribution: Parameterization class
LogLogisticMADEstimator - Class in elki.math.statistics.distribution.estimator: Estimate Logistic distribution parameters using Median and MAD.
LogLogisticMADEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LogLogisticMADEstimator: Private constructor, use static instance!
LogLogisticMADEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
LogMADDistributionEstimator<D extends Distribution> - Interface in elki.math.statistics.distribution.estimator: Distribuition estimators that use the method of moments (MOM) in logspace.
logmadests - Variable in class elki.math.statistics.distribution.estimator.meta.BestFitEstimator: Logspace Median average deviation from median estimators.
logmean - Variable in class elki.math.statistics.distribution.LogNormalDistribution: Mean value for the generator
logmean - Variable in class elki.math.statistics.distribution.LogNormalDistribution.Par: Parameters.
LOGMEAN_ID - Static variable in class elki.math.statistics.distribution.LogNormalDistribution.Par: LogMean parameter
LogMeanVarianceEstimator<D extends Distribution> - Interface in elki.math.statistics.distribution.estimator: Estimators that work on Mean and Variance only (i.e. the first two moments only).
logml - Variable in class elki.outlier.GaussianUniformMixture: log(1-l) precomputed
LogMOMDistributionEstimator<D extends Distribution> - Interface in elki.math.statistics.distribution.estimator: Distribution estimators that use the method of moments (MOM) in logspace, i.e. that only need the statistical moments of a data set after logarithms.
logmomests - Variable in class elki.math.statistics.distribution.estimator.meta.BestFitEstimator: Logspace Method of Moments estimators.
logNorm - Variable in class elki.clustering.em.models.DiagonalGaussianModel: Normalization factor.
logNorm - Variable in class elki.clustering.em.models.MultivariateGaussianModel: Normalization factor.
logNorm - Variable in class elki.clustering.em.models.SphericalGaussianModel: Normalization factor.
logNorm - Variable in class elki.clustering.em.models.TextbookMultivariateGaussianModel: Normalization factor.
logNorm - Variable in class elki.clustering.em.models.TextbookSphericalGaussianModel: Normalization factor.
logNorm - Variable in class elki.clustering.em.models.TwoPassMultivariateGaussianModel: Normalization factor.
LogNormalBilkovaLMMEstimator - Class in elki.math.statistics.distribution.estimator: Alternate estimate the parameters of a log Gamma Distribution, using the methods of L-Moments (LMM) for the Generalized Normal Distribution.
LogNormalBilkovaLMMEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator: Constructor.
LogNormalBilkovaLMMEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
LogNormalDistribution - Class in elki.math.statistics.distribution: Log-Normal distribution.
LogNormalDistribution(double, double, double) - Constructor for class elki.math.statistics.distribution.LogNormalDistribution: Constructor for Log-Normal distribution
LogNormalDistribution.Par - Class in elki.math.statistics.distribution: Parameterization class
LogNormalLevenbergMarquardtKDEEstimator - Class in elki.math.statistics.distribution.estimator: Distribution parameter estimation using Levenberg-Marquardt iterative optimization and a kernel density estimation.
LogNormalLevenbergMarquardtKDEEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator: Constructor.
LogNormalLevenbergMarquardtKDEEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
LogNormalLMMEstimator - Class in elki.math.statistics.distribution.estimator: Estimate the parameters of a log Normal Distribution, using the methods of L-Moments (LMM) for the Generalized Normal Distribution.
LogNormalLMMEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator: Constructor.
LogNormalLMMEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
LogNormalLogMADEstimator - Class in elki.math.statistics.distribution.estimator: Estimator using Medians.
LogNormalLogMADEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LogNormalLogMADEstimator: Constructor.
LogNormalLogMADEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
LogNormalLogMOMEstimator - Class in elki.math.statistics.distribution.estimator: Naive distribution estimation using mean and sample variance.
LogNormalLogMOMEstimator() - Constructor for class elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator: Private constructor, use static instance!
LogNormalLogMOMEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
logNormDet - Variable in class elki.clustering.em.models.DiagonalGaussianModel: Normalization factor.
logNormDet - Variable in class elki.clustering.em.models.MultivariateGaussianModel: Normalization factor.
logNormDet - Variable in class elki.clustering.em.models.SphericalGaussianModel: Normalization factor.
logNormDet - Variable in class elki.clustering.em.models.TextbookMultivariateGaussianModel: Normalization factor.
logNormDet - Variable in class elki.clustering.em.models.TextbookSphericalGaussianModel: Normalization factor.
logNormDet - Variable in class elki.clustering.em.models.TwoPassMultivariateGaussianModel: Normalization factor.
logNotAccelerated(String) - Method in class elki.database.query.QueryBuilder: Log if we have to fall back to a linear scan.
logOProjectionConst - Static variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Default constant used to compute number of projections as well as number of splits of point set, ie. constant *log N*d
logpane - Variable in class elki.gui.util.LogPanel: The actual text logging pane
LogPane - Class in elki.gui.util: A Swing object to receive ELKI logging output.
LogPane() - Constructor for class elki.gui.util.LogPane: Constructor
LogPane.LogPaneHandler - Class in elki.gui.util: Internal Handler
LogPaneHandler() - Constructor for class elki.gui.util.LogPane.LogPaneHandler: Constructor.
LogPanel - Class in elki.gui.util: Panel that contains a text logging pane (LogPane) and progress bars.
LogPanel() - Constructor for class elki.gui.util.LogPanel: Constructor.
LogPanel.LogPanelHandler - Class in elki.gui.util: Internal Handler
LogPanelHandler() - Constructor for class elki.gui.util.LogPanel.LogPanelHandler: Constructor.
logpdf(double) - Method in class elki.math.statistics.distribution.BetaDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.CauchyDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.ChiDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.ConstantDistribution
logpdf(double) - Method in interface elki.math.statistics.distribution.Distribution: Return the log density of an existing value
logpdf(double) - Method in class elki.math.statistics.distribution.ExpGammaDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.ExponentialDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.GammaDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.GeneralizedParetoDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.GumbelDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.HaltonUniformDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.InverseGaussianDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.KappaDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.LaplaceDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.LogGammaDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.LogisticDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.LogLogisticDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.LogNormalDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.NormalDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.PoissonDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.RayleighDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.StudentsTDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.UniformDistribution
logpdf(double) - Method in class elki.math.statistics.distribution.WeibullDistribution
logpdf(double, double) - Static method in class elki.math.statistics.distribution.ChiDistribution: logPDF function
logpdf(double, double) - Static method in class elki.math.statistics.distribution.ChiSquaredDistribution: Chi-Squared distribution PDF (with 0.0 for x < 0)
logpdf(double, double) - Static method in class elki.math.statistics.distribution.ExponentialDistribution: log PDF, static version
logpdf(double, double) - Static method in class elki.math.statistics.distribution.LaplaceDistribution: PDF, static version
logpdf(double, double) - Static method in class elki.math.statistics.distribution.RayleighDistribution: PDF of Rayleigh distribution
logpdf(double, double, double) - Static method in class elki.math.statistics.distribution.BetaDistribution: Static version of the PDF of the beta distribution
logpdf(double, double, double) - Static method in class elki.math.statistics.distribution.CauchyDistribution: PDF function, static version.
logpdf(double, double, double) - Static method in class elki.math.statistics.distribution.GammaDistribution: Gamma distribution PDF (with 0.0 for x < 0)
logpdf(double, double, double) - Static method in class elki.math.statistics.distribution.GumbelDistribution: log PDF of Gumbel distribution
logpdf(double, double, double) - Static method in class elki.math.statistics.distribution.InverseGaussianDistribution: Probability density function of the Wald distribution.
logpdf(double, double, double) - Static method in class elki.math.statistics.distribution.LogisticDistribution: log Probability density function.
logpdf(double, double, double) - Static method in class elki.math.statistics.distribution.LogNormalDistribution: Probability density function of the normal distribution.
logpdf(double, double, double) - Static method in class elki.math.statistics.distribution.NormalDistribution: Log probability density function of the normal distribution.
logpdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.ExpGammaDistribution: ExpGamma distribution logPDF
logpdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution: Probability density function of the ExGaussian distribution.
logpdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution: log PDF of GEV distribution
logpdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution: Probability density function.
logpdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution: log Probability density function.
logpdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedParetoDistribution: PDF of GPD distribution
logpdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.LogGammaDistribution: LogGamma distribution logPDF
logpdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.LogLogisticDistribution: Probability density function.
logpdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution: Probability density function of the skewed normal distribution.
logpdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.WeibullDistribution: PDF of Weibull distribution
logpdf(double, double, double, double, double) - Static method in class elki.math.statistics.distribution.KappaDistribution: Probability density function.
logpdf(double, int) - Static method in class elki.math.statistics.distribution.StudentsTDistribution: Static version of the t distribution's PDF.
LOGPI - Static variable in class elki.math.MathUtil: log(PI).
LOGPIHALF - Static variable in class elki.math.MathUtil: log(PI) / 2.
logpmf(double, int, double) - Static method in class elki.math.statistics.distribution.PoissonDistribution: Poisson probability mass function (PMF) for integer values.
logpoissonPDFm1(double, double) - Static method in class elki.math.statistics.distribution.PoissonDistribution: Compute the poisson distribution PDF with an offset of + 1
logquantile(double, double, double) - Static method in class elki.math.statistics.distribution.LogisticDistribution: log Quantile function.
LogRankingPseudoOutlierScaling - Class in elki.utilities.scaling.outlier: This is a pseudo outlier scoring obtained by only considering the ranks of the objects.
LogRankingPseudoOutlierScaling() - Constructor for class elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling
logregularizedGammaP(double, double) - Static method in class elki.math.statistics.distribution.GammaDistribution: Returns the regularized gamma function log P(a, x).
LogResultStructureResultHandler - Class in elki.result: A result handler to help with ELKI development that will just show the structure of the result object.
LogResultStructureResultHandler() - Constructor for class elki.result.LogResultStructureResultHandler
logsigma - Variable in class elki.math.statistics.distribution.LogNormalDistribution.Par: Parameters.
logSizes() - Method in class elki.visualization.gui.overview.RectangleArranger: Debug logging
LOGSQRTTWOPI - Static variable in class elki.math.MathUtil: log(sqrt(2*PI)).
logStatistics() - Method in class elki.index.AbstractRefiningIndex
logStatistics() - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix
logStatistics() - Method in class elki.index.distancematrix.PrecomputedSimilarityMatrix
logStatistics() - Method in class elki.index.idistance.InMemoryIDistanceIndex
logStatistics() - Method in interface elki.index.Index: Send statistics to the logger, if enabled.
logStatistics() - Method in class elki.index.invertedlist.InMemoryInvertedIndex
logStatistics() - Method in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Log some statistics.
logStatistics() - Method in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor
logStatistics() - Method in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor
logStatistics() - Method in class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor
logStatistics() - Method in class elki.index.projected.ProjectedIndex
logStatistics() - Method in class elki.index.tree.IndexTree
logStatistics() - Method in class elki.index.tree.metrical.covertree.AbstractCoverTree
logStatistics() - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree
logStatistics() - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics: Log the statistics.
logStatistics() - Method in class elki.index.tree.metrical.vptree.GNAT
logStatistics() - Method in class elki.index.tree.metrical.vptree.VPTree
logStatistics() - Method in class elki.index.tree.spatial.kd.MemoryKDTree
logStatistics() - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
logStatistics() - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree
logStatistics() - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree
logStatistics() - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics: Log the statistics.
logStatistics() - Method in class elki.index.vafile.PartialVAFile
logStatistics() - Method in class elki.index.vafile.PartialVAFile.Statistics
logStatistics() - Method in class elki.index.vafile.VAFile
logStatistics() - Method in class elki.itemsetmining.FPGrowth.FPTree: Output some statistics to logging.
logStatistics() - Method in class elki.persistent.AbstractPageFile
logStatistics() - Method in class elki.persistent.AbstractStoringPageFile
logStatistics() - Method in class elki.persistent.LRUCache
logStatistics() - Method in interface elki.persistent.PageFile: Log some statistics to the appropriate logger.
logstddev - Variable in class elki.math.statistics.distribution.LogNormalDistribution: Standard deviation
LOGSTDDEV_ID - Static variable in class elki.math.statistics.distribution.LogNormalDistribution.Par: LogScale parameter
logSumExp(double[]) - Static method in class elki.clustering.em.EM: Compute log(sum(exp(x_i)), with attention to numerical issues.
logSumExp(double, double) - Static method in class elki.clustering.em.EM: Compute log(exp(a)+exp(b)), with attention to numerical issues.
logTab - Variable in class elki.gui.multistep.MultiStepGUI: Logging panel.
LOGTWOPI - Static variable in class elki.math.MathUtil: log(2*PI).
logUncaughtExceptions(Logging) - Static method in class elki.gui.GUIUtil: Setup logging of uncaught exceptions.
logUnusedParameters() - Method in class elki.utilities.optionhandling.parameterization.SerializedParameterization: Log a warning if there were unused parameters.
logUsing(Index, String, boolean) - Method in class elki.database.query.QueryBuilder: Log if we use a particular index.
logVarstat(DoubleStatistic, double[]) - Method in class elki.clustering.uncertain.UKMeans: Log statistics on the variance sum.
LOLIM - elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.DimensionState
LONG_32_BITS - Static variable in class elki.utilities.datastructures.BitsUtil: Masking 32 bit
LONG_63_BITS - Static variable in class elki.utilities.datastructures.BitsUtil: Long, with 63 bits set
LONG_ADAPTER - Static variable in class elki.utilities.datastructures.QuickSelect: Adapter for long arrays.
LONG_ALL_BITS - Static variable in class elki.utilities.datastructures.BitsUtil: Long with all bits set
LONG_LOG2_MASK - Static variable in class elki.utilities.datastructures.BitsUtil: Masking for long shifts.
LONG_LOG2_SIZE - Static variable in class elki.utilities.datastructures.BitsUtil: Shift factor for a long: 2^6 == 64 == Long.SIZE
LONG_SERIALIZER - Static variable in class elki.utilities.io.ByteArrayUtil: Static instance.
LongParameter - Class in elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a long value.
LongParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.LongParameter: Constructs a long parameter with the given optionID.
LongParameter(OptionID, long) - Constructor for class elki.utilities.optionhandling.parameters.LongParameter: Constructs a long parameter with the given optionID and default value.
LongSerializer() - Constructor for class elki.utilities.io.ByteArrayUtil.LongSerializer: Constructor.
LongStatistic - Class in elki.logging.statistics: Trivial long-valued statistic.
LongStatistic(String) - Constructor for class elki.logging.statistics.LongStatistic: Constructor.
LongStatistic(String, long) - Constructor for class elki.logging.statistics.LongStatistic: Constructor.
longValue() - Method in class elki.data.Bit
longValue(int) - Method in class elki.data.BitVector
longValue(int) - Method in class elki.data.ByteVector
longValue(int) - Method in class elki.data.DoubleVector
longValue(int) - Method in class elki.data.FloatVector
longValue(int) - Method in class elki.data.IntegerVector
longValue(int) - Method in interface elki.data.NumberVector: Returns the value in the specified dimension as long.
longValue(int) - Method in class elki.data.OneDimensionalDoubleVector
longValue(int) - Method in class elki.data.ShortVector
longValue(int) - Method in class elki.data.SparseByteVector: Deprecated.
longValue(int) - Method in class elki.data.SparseDoubleVector: Deprecated.
longValue(int) - Method in class elki.data.SparseFloatVector: Deprecated.
longValue(int) - Method in class elki.data.SparseIntegerVector: Deprecated.
longValue(int) - Method in interface elki.data.SparseNumberVector: Deprecated.
As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterLongValue(int).
longValue(int) - Method in class elki.data.SparseShortVector: Deprecated.
longValue(int) - Method in interface elki.index.tree.betula.features.ClusterFeature
longValue(int) - Method in class elki.index.tree.spatial.SpatialPointLeafEntry
longValue(int) - Method in class elki.math.linearalgebra.Centroid
longValue(int) - Method in class elki.outlier.lof.ALOCI.Node
lookahead() - Method in class elki.result.Metadata.Hierarchy.ItrAnc
lookahead() - Method in class elki.result.Metadata.Hierarchy.ItrDesc
lookup - Variable in class elki.index.vafile.VALPNormDistance: Lookup table for grid cells.
LoOP<O> - Class in elki.outlier.lof: LoOP: Local Outlier Probabilities
LoOP(int, int, Distance<? super O>, Distance<? super O>, double) - Constructor for class elki.outlier.lof.LoOP: Constructor with parameters.
loss - Variable in class elki.clustering.kmedoids.FastCLARANS.Assignment: Array for storing the per-medoid loss.
loss(double, double) - Static method in class elki.clustering.silhouette.FastMSC: Loss function used - here simply a/b, 0 if a=b=0.
lowBound - Variable in class elki.index.tree.metrical.vptree.VPTree.Node: upper and lower distance bounds
lower - Variable in class elki.clustering.kmeans.HamerlyKMeans.Instance: Lower bounds
lower - Variable in class elki.clustering.kmeans.SimplifiedElkanKMeans.Instance: Lower bounds
lower - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Instance: Lower bounds
lower - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance: Lower bounds
lower - Variable in class elki.clustering.kmeans.YinYangKMeans.Instance: Lower bounds
LOWER_BOUND - Static variable in class elki.svm.solver.Solver
lowerBound - Variable in class elki.index.tree.metrical.vptree.GNAT.Node: upper and lower distance bound for the other subtrees; lowerBound[vp][child] is distance Bound from vp to child
lowerHull - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull: The lower hull.
lowerisbetter - Variable in class elki.result.EvaluationResult.Measurement: Indicates low values are better.
lowerIsBetter() - Method in class elki.result.EvaluationResult.Measurement: Return true if low values are better.
LowerTriangularAdapter(int) - Constructor for class elki.visualization.parallel3d.layout.AbstractLayout3DPC.LowerTriangularAdapter
LPCAEstimator - Class in elki.math.statistics.intrinsicdimensionality: Local PCA based ID estimator.
LPCAEstimator(EigenPairFilter) - Constructor for class elki.math.statistics.intrinsicdimensionality.LPCAEstimator: Constructor.
LPCAEstimator.Par - Class in elki.math.statistics.intrinsicdimensionality: Parameterization class.
LPCROSS - elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Mode
LPIntegerNormDistance - Class in elki.distance.minkowski: L_p-Norm for NumberVectors, optimized version for integer values of p.
LPIntegerNormDistance(int) - Constructor for class elki.distance.minkowski.LPIntegerNormDistance: Constructor, internal version.
LPIntegerNormDistance.Par - Class in elki.distance.minkowski: Parameterization class.
LPNormDistance - Class in elki.distance.minkowski: L_p-Norm (Minkowski norms) are a family of distances for NumberVectors.
LPNormDistance(double) - Constructor for class elki.distance.minkowski.LPNormDistance: Constructor, internal version.
LPNormDistance.Par - Class in elki.distance.minkowski: Parameterization class.
lpow10(long, int) - Static method in class elki.utilities.datastructures.BitsUtil: Compute m * Math.pow(10,e) on the bit representation, for assembling a floating point decimal value.
lpow2(long, int) - Static method in class elki.utilities.datastructures.BitsUtil: Compute m * pow(2., n) using bit operations.
LR - elki.visualization.svg.SVGSimpleLinearAxis.Alignment
LRDProcessor - Class in elki.outlier.lof.parallel: Processor for the "local reachability density" of LOF.
LRDProcessor(DataStore<? extends KNNList>, DoubleDataStore) - Constructor for class elki.outlier.lof.parallel.LRDProcessor: Constructor.
LRDProcessor.Instance - Class in elki.outlier.lof.parallel: Instance
lrds - Variable in class elki.outlier.lof.FlexibleLOF.LOFResult: The LRD values of the objects.
lrds - Variable in class elki.outlier.lof.parallel.LOFProcessor: LRD store
lru - Variable in class elki.svm.qmatrix.CachedQMatrix: LRU head
lru_delete(int) - Method in class elki.svm.qmatrix.CachedQMatrix: Delete from the LRU list.
lru_insert(int) - Method in class elki.svm.qmatrix.CachedQMatrix: Insert into the last position of the LRU list.
LRUCache - Class in elki.persistent: An LRU cache, based on LinkedHashMap.
This cache has a fixed maximum number of objects (cacheSize).
LRUCache(int, PageFile) - Constructor for class elki.persistent.LRUCache: Initializes this cache with the specified parameters.
LRUCachePageFileFactory - Class in elki.persistent: Page file factory for memory page files.
LRUCachePageFileFactory(PageFileFactory, int) - Constructor for class elki.persistent.LRUCachePageFileFactory: Constructor.
LRUCachePageFileFactory.Par - Class in elki.persistent: Parameterization class.
ls - Variable in class elki.clustering.hierarchical.birch.ClusteringFeature: Linear sum.
ls - Variable in class elki.index.tree.betula.features.BIRCHCF: Linear sum.
ls(int) - Method in class elki.index.tree.betula.features.BIRCHCF: Get the linear sum of component i.
LSDBC<O extends NumberVector> - Class in elki.clustering.dbscan: Locally Scaled Density Based Clustering.
LSDBC(Distance<? super O>, int, double) - Constructor for class elki.clustering.dbscan.LSDBC: Constructor.
LSDBC.Par<O extends NumberVector> - Class in elki.clustering.dbscan: Parameterization class
LSHKNNQuery(DistanceQuery<V>) - Constructor for class elki.index.lsh.InMemoryLSHIndex.Instance.LSHKNNQuery: Constructor.
LSHRangeQuery(DistanceQuery<V>) - Constructor for class elki.index.lsh.InMemoryLSHIndex.Instance.LSHRangeQuery: Constructor.
lsim - Variable in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance: Similarity lower bound.
lsim - Variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Instance: Similarity lower bound.
lsim - Variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Instance: Similarity lower bound.
lsz - Variable in class elki.clustering.svm.SupportVectorClustering: Sample size for line check.
LU - Variable in class elki.math.linearalgebra.LUDecomposition: Array for internal storage of decomposition.
LUDecomposition - Class in elki.math.linearalgebra: LU Decomposition.
LUDecomposition(double[][]) - Constructor for class elki.math.linearalgebra.LUDecomposition: LU Decomposition
LUDecomposition(double[][], int, int) - Constructor for class elki.math.linearalgebra.LUDecomposition: LU Decomposition

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