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

L

l - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering: Holds the value of AbstractProjectedClustering.Parameterizer.L_ID.
l - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering.Parameterizer
l - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.LBABOD: Number of outliers to refine.
l - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.LBABOD.Parameterizer: Number of outliers to find.
l - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture.Parameterizer
l - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex: Number of hash tables to use.
l - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer: Number of hash functions for each table.
l - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull: Number of points in lower hull.
L - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.CholeskyDecomposition: Array for internal storage of decomposition.
L_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering.Parameterizer: Parameter to specify the dimensionality of the clusters to find, must be an integer greater than 0.
L_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.LBABOD.Parameterizer: Parameter to specify the number of outliers to compute exactly.
L_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture.Parameterizer: Parameter to specify the fraction of expected outliers.
L_ID - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer: Number of hash tables to use for LSH.
label - Variable in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel: Holds the String designating the label.
label - Variable in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation: Type label.
label - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractSingleParameterConfigurator: Label
label - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer: Label to render
label - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox: Checkbox label
label - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar: Label (on the right)
label - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization: The label to render
LABEL_CONCATENATION - Static variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection: A sign to separate components of a label.
LABEL_INDICES_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser.Parameterizer: 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 de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout: Column containing the class labels.
labelcols - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter: Bitset of label columns
LABELFILTER_PATTERN_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter.Parameterizer: Parameter that specifies the filter pattern (regular expression).
LABELFILTER_PATTERN_INVERT_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter.Parameterizer: Flag to use the pattern in inverted mode Key: -patternfilter.invert
labelIndices - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Keeps the indices of the attributes to be treated as a string label.
labelIndices - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser.Parameterizer: Keeps the indices of the attributes to be treated as a string label.
LabelJoinDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource: Joins multiple data sources by their label
LabelJoinDatabaseConnection(List<ObjectFilter>, List<DatabaseConnection>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.LabelJoinDatabaseConnection: Constructor.
LabelJoinDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource: Parameterization class.
LabelJoinDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.LabelJoinDatabaseConnection.Parameterizer
LabelList - Class in de.lmu.ifi.dbs.elki.data: A list of string labels.
LabelList(int) - Constructor for class de.lmu.ifi.dbs.elki.data.LabelList: Constructor.
LabelList(String[]) - Constructor for class de.lmu.ifi.dbs.elki.data.LabelList: Private constructor.
LABELLIST - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil: A list of labels.
LabelList.Serializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class.
LabelList.Serializer() - Constructor for class de.lmu.ifi.dbs.elki.data.LabelList.Serializer
labelrep - Variable in class de.lmu.ifi.dbs.elki.algorithm.classification.KNNClassifier: Class label representation.
labels - Variable in class de.lmu.ifi.dbs.elki.algorithm.classification.PriorProbabilityClassifier: Class labels seen.
labels - Variable in class de.lmu.ifi.dbs.elki.data.LabelList: Labels.
labels - Variable in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation: Labels.
labels - Variable in class de.lmu.ifi.dbs.elki.datasource.ArrayAdapterDatabaseConnection: Object labels.
labels - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser: (Reused) buffer for building label lists.
labels - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: (Reused) store for labels.
labels - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser: (Reused) store for labels.
labels - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser: (Reused) label buffer.
labels - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser: (Reused) label buffer.
labels - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: Holds the class labels.
labels - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout: Labels in the current data set.
labels - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.TrainingAndTestSet: The overall labels.
LabelVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj: Trivial "visualizer" that displays a static label.
LabelVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization: Constructor.
LabelVisualization(String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization: The actually used constructor - with a static label.
LabelVisualization(String, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization: Constructor.
labelx - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve: Label of X axis
labelx - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot: Label of X axis
labely - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve: Label of Y axis
labely - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot: Label of Y axis
lambda - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm: Damping factor lambda.
lambda - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer: Dampening parameter.
lambda - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Settings: Maximum subspace dimensionality lambda.
lambda - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Settings: Lambda: Maximum subspace dimensionality.
lambda - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP: Lambda parameter.
lambda - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP.Parameterizer: Hold the value of LoOP.Parameterizer.LAMBDA_ID.
lambda - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Lambda (refinement step size)
lambda - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution: Exponential rate.
lambda - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Parameterizer: Parameters.
lambda - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution: Lambda parameter.
lambda - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution.Parameterizer: Parameters.
lambda - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction: Parameter lambda of the exponential distribution (inliers)
lambda - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Parameterizer
lambda - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling: Field storing the lambda value
lambda - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling.Parameterizer
LAMBDA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer: Parameter for the dampening factor.
LAMBDA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Settings.Parameterizer: Parameter Lambda: maximum dimensionality allowed.
LAMBDA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Settings.Parameterizer: Parameter Lambda: maximum dimensionality allowed.
LAMBDA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP.Parameterizer: Parameter to specify the number of nearest neighbors of an object to be considered for computing its LOOP_SCORE, must be an integer greater than 1.
LAMBDA_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Parameterizer: Parameter to specify the lambda value Key: -sqrtstddevscale.lambda
LAMBDA_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling.Parameterizer: Parameter to specify the lambda value Key: -stddevscale.lambda
LANCZOS - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: LANCZOS-Coefficients for Gamma approximation.
LaplaceDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Laplace distribution also known as double exponential distribution
LaplaceDistribution(double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution: Constructor.
LaplaceDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution: Constructor.
LaplaceDistribution(double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution: Constructor.
LaplaceDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution: Constructor.
LaplaceDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution: Constructor.
LaplaceDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Parameterization class
LaplaceDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution.Parameterizer
LaplaceKernelFunction - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel: Laplace / exponential radial basis function kernel.
LaplaceKernelFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LaplaceKernelFunction: Constructor.
LaplaceKernelFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel: Parameterization class.
LaplaceKernelFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LaplaceKernelFunction.Parameterizer
LaplaceLMMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate Laplace distribution parameters using the method of L-Moments (LMM).
LaplaceLMMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceLMMEstimator: Private constructor, use static instance!
LaplaceLMMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LaplaceLMMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceLMMEstimator.Parameterizer
LaplaceMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate Laplace distribution parameters using Median and MAD.
LaplaceMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceMADEstimator: Private constructor, use static instance!
LaplaceMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LaplaceMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceMADEstimator.Parameterizer
LaplaceMLEEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate Laplace distribution parameters using Median and mean deviation from median.
LaplaceMLEEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceMLEEstimator: Private constructor, use static instance!
LaplaceMLEEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LaplaceMLEEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceMLEEstimator.Parameterizer
largestPageID - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: The largest ID used so far
lastaction - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The last action we did, to not add unnecessary commands
lastClick - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy: For detecting double clicks.
lastimg - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailTranscoder: Last image produced.
lastInsertedEntry - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: The last inserted entry.
lastLogged - Variable in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress: For logging rate control.
lastNewlinePos - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane: Last newline position
LATDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer: Latitude dimension parameter.
latest - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas: The latest attaching operation.
LatLngAsECEFIndex<O extends NumberVector> - Class in de.lmu.ifi.dbs.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<O>, Projection<O, O>, Relation<O>, Index, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex: Constructor.
LatLngAsECEFIndex.Factory<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.projected: Index factory.
LatLngAsECEFIndex.Factory(IndexFactory<O, ?>, boolean, boolean, EarthModel) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory: Constructor.
LatLngAsECEFIndex.Factory.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.projected: Parameterization class.
LatLngAsECEFIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory.Parameterizer
latLngDegToECEF(double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
latLngDegToECEF(double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
latLngDegToECEF(double, double) - Method in interface de.lmu.ifi.dbs.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 interface de.lmu.ifi.dbs.elki.math.geodesy.EarthModel: Map a degree latitude, longitude pair to 3D X-Y-Z coordinates, using a spherical earth model.
LatLngDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.geo: Distance function for 2D vectors in Latitude, Longitude form.
LatLngDistanceFunction(EarthModel) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction: Constructor.
LatLngDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.geo: Parameterization class.
LatLngDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction.Parameterizer
latlngMinDistDeg(double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil: Point to rectangle minimum distance.
latlngMinDistRad(double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil: Point to rectangle minimum distance.
latlngMinDistRadFull(double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil: Point to rectangle minimum distance.
latLngRadToECEF(double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
latLngRadToECEF(double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
latLngRadToECEF(double, double) - Method in interface de.lmu.ifi.dbs.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 interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.math.geodesy.SphericalCosineEarthModel
latLngRadToECEF(double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalCosineEarthModel
latLngRadToECEF(double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalHaversineEarthModel
latLngRadToECEF(double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalHaversineEarthModel
latLngRadToECEF(double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalVincentyEarthModel
latLngRadToECEF(double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalVincentyEarthModel
LatLngToECEFFilter<V extends NumberVector> - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.datasource.filter.transform.LatLngToECEFFilter: Constructor.
LatLngToECEFFilter.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform: Parameterization class.
LatLngToECEFFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.LatLngToECEFFilter.Parameterizer
LatLngToECEFProjection<V extends NumberVector> - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection: Constructor.
LatLngToECEFProjection.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.projection: Parameterization class.
LatLngToECEFProjection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection.Parameterizer
layer - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization: Layer storage
layermap - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: Map from visualizations to SVG layers.
LayerMap - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview: Class to help keeping track of the materialized layers of the different visualizations.
LayerMap() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.LayerMap
LazyCanvasResizer - Class in de.lmu.ifi.dbs.elki.visualization.batikutil: Class to lazily process canvas resize events by applying a threshold.
LazyCanvasResizer(Component, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer: Full constructor.
LazyCanvasResizer(Component) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer: Simplified constructor using the default threshold LazyCanvasResizer.DEFAULT_THRESHOLD
lazyRefresh() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: Trigger a refresh.
lazyRefresh() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Trigger a redraw, but avoid excessive redraws.
LBABOD<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased: Angle-Based Outlier Detection / Angle-Based Outlier Factor.
LBABOD(SimilarityFunction<? super V>, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.LBABOD: Actual constructor, with parameters.
LBABOD.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased: Parameterization class.
LBABOD.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.LBABOD.Parameterizer
lbl - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser: Buffer for labels.
lblcol - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter: Label column
lbound - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature: Lower bound of object
LCSSDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries: Longest Common Subsequence distance for numerical vectors.
LCSSDistanceFunction(double, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction: Constructor.
LCSSDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries: Parameterization class.
LCSSDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer
LDF<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Outlier Detection with Kernel Density Functions.
LDF(int, DistanceFunction<? super O>, KernelDensityFunction, double, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDF: Constructor.
LDF.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Parameterization class.
LDF.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDF.Parameterizer
LDOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.
LDOF(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDOF: Constructor.
LDOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Parameterization class.
LDOF.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDOF.Parameterizer
LDOF_BASELINE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDOF: The baseline for LDOF values.
LEAF_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Parameterizer: Insertion strategy for leaf nodes.
leafCapacity - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: The capacity of a leaf node (= 1 + maximum number of entries in a leaf node).
leafCapacity - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: The capacity of a leaf node (= 1 + maximum number of entries in a leaf node).
LeafEntry - Interface in de.lmu.ifi.dbs.elki.index.tree: Leaf entry
leafEntryIDs(MkAppTreeNode<O>, ModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Determines the ids of the leaf entries stored in the specified subtree.
leafIcon - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer: Icons
leafMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: The minimum number of entries in a leaf node.
leafMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: The minimum number of entries in a leaf node.
leafsize - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory: Maximum size of leaf nodes.
leafsize - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Parameterizer: Maximum size of leaf nodes.
leafsize - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree: Maximum size of leaf nodes.
leafsize - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory: Maximum size of leaf nodes.
leafsize - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory.Parameterizer: Maximum size of leaf nodes.
leafsize - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree: Maximum size of leaf nodes.
LEAFSIZE_P - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Parameterizer: Option for setting the maximum leaf size.
leafStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy: Strategy when inserting into leaf nodes.
leafStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Parameterizer: Strategy when inserting into leaf nodes.
LeastEnlargementInsertionStrategy - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert: The default R-Tree insertion strategy: find rectangle with least volume enlargement.
LeastEnlargementInsertionStrategy() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy: Constructor.
LeastEnlargementInsertionStrategy.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert: Parameterization class.
LeastEnlargementInsertionStrategy.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy.Parameterizer
LeastEnlargementWithAreaInsertionStrategy - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy: Constructor.
LeastEnlargementWithAreaInsertionStrategy.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert: Parameterization class.
LeastEnlargementWithAreaInsertionStrategy.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy.Parameterizer
LeastOverlapInsertionStrategy - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert: The choose subtree method proposed by the R*-Tree for leaf nodes.
LeastOverlapInsertionStrategy() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy: Constructor.
LeastOverlapInsertionStrategy.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert: Parameterization class.
LeastOverlapInsertionStrategy.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy.Parameterizer
LeaveOneOut - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.evaluation.classification.holdout.LeaveOneOut: Constructor.
LEFT - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGArrow: Constant for "left"
leftChild - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Holds the left child.
leftNeighbor(CLIQUEUnit<V>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: Returns the left neighbor of the given unit in the specified dimension.
leftOf(Vector, Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D: Test if the vector AD is right of AB.
len - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr: Interval length.
len - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange: Length value.
len - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.LeaveOneOut: Size of the data set.
len - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot.Curve: Size.
len - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution: Len := max - min
len - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution: Len := max - min
len - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry.Entry: Length.
length - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset: Itemset length.
length() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset
length() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset: Itemset length.
length() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset
length - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset: Itemset length.
length() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset
length() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset
length - Variable in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex: Length storage.
length() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult: Returns the number of eigenvectors stored
length - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalListSizeConstraint: Integer parameter specifying the constraint list size.
LengthNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Class to perform a normalization on vectors to norm 1.
LengthNormalization(Norm<? super V>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.LengthNormalization: Constructor.
LengthNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Parameterization class.
LengthNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.LengthNormalization.Parameterizer
lengthWithoutLinefeed(CharSequence) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader: Get the length of the string, not taking trailing linefeeds into account.
les - Variable in class de.lmu.ifi.dbs.elki.data.model.LinearEquationModel: Equation system
LESS_EQUAL_ONE_DOUBLE - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.CommonConstraints: Less or equal than one.
LESS_THAN_HALF_DOUBLE - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.CommonConstraints: Constraint: less than .5
LESS_THAN_ONE_DOUBLE - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.CommonConstraints: Less than one.
LessConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Represents a Less-Than-Number parameter constraint.
LessConstraint(Number) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessConstraint: Creates a Less-Than-Number parameter constraint.
LessConstraint(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessConstraint: Creates a Less-Than-Number parameter constraint.
LessConstraint(double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessConstraint: Creates a Less-Than-Number parameter constraint.
LessEqualConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Represents a Less-Equal-Than-Number parameter constraint.
LessEqualConstraint(Number) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessEqualConstraint: Creates a Less-Equal-Than-Number parameter constraint.
LessEqualConstraint(double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessEqualConstraint: Creates a Less-Equal-Than-Number parameter constraint.
LessEqualConstraint(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessEqualConstraint: Creates a Less-Equal-Than-Number parameter constraint.
LessEqualGlobalConstraint<T extends Number> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Represents a Less-Equal-Than global parameter constraint.
LessEqualGlobalConstraint(NumberParameter<?, T>, NumberParameter<?, T>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessEqualGlobalConstraint: Creates a Less-Equal-Than global parameter constraint.
LessGlobalConstraint<T extends Number> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Represents a Less-Than global parameter constraint.
LessGlobalConstraint(NumberParameter<?, T>, NumberParameter<?, T>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessGlobalConstraint: Creates a Less-Than global parameter constraint.
level - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: The level of this interval, 0 indicates the root level.
level - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature: Object level
level - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Node: Level of node
level - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Meta data key: Level for visualizer ordering Returns an integer indicating the "height" of this Visualizer.
LEVEL_BACKGROUND - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Background layer
LEVEL_DATA - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Data layer
LEVEL_FOREGROUND - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Passive foreground layer
LEVEL_INTERACTIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Active foreground layer (interactive elements)
LEVEL_STATIC - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Static plot layer
levels - Variable in class de.lmu.ifi.dbs.elki.workflow.LoggingStep.Parameterizer: Enable logging levels manually
levelwiseNames - Variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel: Holds the names on the different levels.
LevenbergMarquardtMethod - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.fitting: Function parameter fitting using Levenberg-Marquardt method.
LevenbergMarquardtMethod(FittingFunction, double[], boolean[], double[], double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Function fitting using Levenberg-Marquardt Method.
levenshteinDistance(String, String) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.LevenshteinDistanceFunction: Levenshtein distance for two strings.
LevenshteinDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.strings: Classic Levenshtein distance on strings.
LevenshteinDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.LevenshteinDistanceFunction: Deprecated.
LevenshteinDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.strings: Parameterization class.
LevenshteinDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.LevenshteinDistanceFunction.Parameterizer
LibSVMFormatParser<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.parser: Parser to read libSVM format files.
LibSVMFormatParser(SparseNumberVector.Factory<V>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.LibSVMFormatParser: Constructor.
LibSVMFormatParser.Parameterizer<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.parser: Parameterization class.
LibSVMFormatParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.LibSVMFormatParser.Parameterizer
LibSVMOneClassOutlierDetection<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.svm: Outlier-detection using one-class support vector machines.
LibSVMOneClassOutlierDetection(LibSVMOneClassOutlierDetection.SVMKernel) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.svm.LibSVMOneClassOutlierDetection: Constructor.
LibSVMOneClassOutlierDetection.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.svm: Parameterization class.
LibSVMOneClassOutlierDetection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.svm.LibSVMOneClassOutlierDetection.Parameterizer
LibSVMOneClassOutlierDetection.SVMKernel - Enum in de.lmu.ifi.dbs.elki.algorithm.outlier.svm: Kernel functions.
LibSVMOneClassOutlierDetection.SVMKernel() - Constructor for enum de.lmu.ifi.dbs.elki.algorithm.outlier.svm.LibSVMOneClassOutlierDetection.SVMKernel
LIGHT_GRADIENT_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGEffects: ID for the light gradient fill
LIMIT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer: Parameter that specifies the candidate_cutoff.
LimitedReinsertOverflowTreatment - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment: Constructor.
LimitedReinsertOverflowTreatment.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow: Parameterization class.
LimitedReinsertOverflowTreatment.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Parameterizer
LimitEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: 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 de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter: Constructor.
LimitEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class.
LimitEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter.Parameterizer
LINE_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: Line separator for output
LINE_WIDTH - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Line width
LinearAdapterLinear<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Adapter from a normalized similarity function to a distance function using 1 - sim.
LinearAdapterLinear(NormalizedSimilarityFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear: Constructor.
LinearAdapterLinear.Instance<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Distance function instance
LinearAdapterLinear.Instance(Relation<O>, DistanceFunction<? super O>, SimilarityQuery<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear.Instance: Constructor.
LinearAdapterLinear.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Parameterization class.
LinearAdapterLinear.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear.Parameterizer
LinearDiscriminantAnalysisFilter<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform: Linear Discriminant Analysis (LDA) / Fisher's linear discriminant.
LinearDiscriminantAnalysisFilter(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter: Constructor.
LinearDiscriminantAnalysisFilter.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform: Parameterization class.
LinearDiscriminantAnalysisFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter.Parameterizer
LinearEquationModel - Class in de.lmu.ifi.dbs.elki.data.model: Cluster model containing a linear equation system for the cluster.
LinearEquationModel(LinearEquationSystem) - Constructor for class de.lmu.ifi.dbs.elki.data.model.LinearEquationModel: Constructor
linearEquationSystem - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Stores the solution equations.
LinearEquationSystem - Class in de.lmu.ifi.dbs.elki.math.linearalgebra: Class for systems of linear equations.
LinearEquationSystem(double[][], double[]) - Constructor for class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Constructs a linear equation system with given coefficient matrix a and right hand side b.
LinearKernelFunction - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel: Linear Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by V1^T*V2.
LinearKernelFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction: Deprecated.
LinearKernelFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel: Parameterization class.
LinearKernelFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction.Parameterizer
linearlyIndependent(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Returns true if the specified column matrix a is linearly independent to the columns of this matrix.
LinearRegression - Class in de.lmu.ifi.dbs.elki.math.statistics
LinearRegression(List<DoubleDoublePair>) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.LinearRegression
LinearScale - Class in de.lmu.ifi.dbs.elki.math.scales: Class to handle a linear scale for an axis.
LinearScale(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.scales.LinearScale: Constructor.
LinearScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling: Simple linear scaling function.
LinearScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.LinearScaling: Constructor with defaults resulting in identity.
LinearScaling(double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.LinearScaling: Constructor with scaling only.
LinearScaling(double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.LinearScaling: Full constructor.
LinearScaling(DoubleMinMax) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.LinearScaling: Constructor from a double minmax.
linearScan(Relation<? extends O>, DBIDIter, O, KNNHeap) - Method in class de.lmu.ifi.dbs.elki.database.query.knn.LinearScanEuclideanDistanceKNNQuery: Main loop of the linear scan.
linearScan(Relation<? extends O>, DBIDIter, O, KNNHeap) - Method in class de.lmu.ifi.dbs.elki.database.query.knn.LinearScanPrimitiveDistanceKNNQuery: Main loop of the linear scan.
linearScan(Relation<? extends O>, DBIDIter, O, double, ModifiableDoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.database.query.range.LinearScanEuclideanDistanceRangeQuery: Main loop for linear scan,
linearScan(Relation<? extends O>, DBIDIter, O, double, ModifiableDoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.database.query.range.LinearScanPrimitiveDistanceRangeQuery: Main loop for linear scan,
linearScanBatchKNN(ArrayDBIDs, List<KNNHeap>) - Method in class de.lmu.ifi.dbs.elki.database.query.knn.LinearScanDistanceKNNQuery: Linear batch knn for arbitrary distance functions.
linearScanBatchKNN(List<O>, List<KNNHeap>) - Method in class de.lmu.ifi.dbs.elki.database.query.knn.LinearScanEuclideanDistanceKNNQuery: Perform a linear scan batch kNN for primitive distance functions.
linearScanBatchKNN(List<O>, List<KNNHeap>) - Method in class de.lmu.ifi.dbs.elki.database.query.knn.LinearScanPrimitiveDistanceKNNQuery: Perform a linear scan batch kNN for primitive distance functions.
LinearScanDistanceKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.knn: Instance of this query for a particular database.
LinearScanDistanceKNNQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.LinearScanDistanceKNNQuery: Constructor.
LinearScanDistanceRangeQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.range: Default linear scan range query class.
LinearScanDistanceRangeQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.range.LinearScanDistanceRangeQuery: Constructor.
LinearScanEuclideanDistanceKNNQuery<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.database.query.knn: Instance of this query for a particular database.
LinearScanEuclideanDistanceKNNQuery(PrimitiveDistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.LinearScanEuclideanDistanceKNNQuery: Constructor.
LinearScanEuclideanDistanceRangeQuery<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.database.query.range: Optimized linear scan for Euclidean distance range queries.
LinearScanEuclideanDistanceRangeQuery(PrimitiveDistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.range.LinearScanEuclideanDistanceRangeQuery: Constructor.
LinearScanPrimitiveDistanceKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.knn: Instance of this query for a particular database.
LinearScanPrimitiveDistanceKNNQuery(PrimitiveDistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.LinearScanPrimitiveDistanceKNNQuery: Constructor.
LinearScanPrimitiveDistanceRangeQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.range: Default linear scan range query class.
LinearScanPrimitiveDistanceRangeQuery(PrimitiveDistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.range.LinearScanPrimitiveDistanceRangeQuery: Constructor.
LinearScanQuery - Interface in de.lmu.ifi.dbs.elki.database.query: Marker interface for linear scan (slow, non-accelerated) queries.
LinearScanRKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.rknn: Default linear scan RKNN query class.
LinearScanRKNNQuery(DistanceQuery<O>, KNNQuery<O>, Integer) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.LinearScanRKNNQuery: Constructor.
LinearWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions: Linear weight function, scaled using the maximum such that it goes from 1.0 to 0.1 1 - 0.9 * (distance/max)
LinearWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.LinearWeight
LinearWeightedExtendedNeighborhood - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted: Neighborhood obtained by computing the k-fold closure of an existing neighborhood.
LinearWeightedExtendedNeighborhood(NeighborSetPredicate, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood: Constructor.
LinearWeightedExtendedNeighborhood.Factory<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted: Factory class.
LinearWeightedExtendedNeighborhood.Factory(NeighborSetPredicate.Factory<O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory: Constructor.
LinearWeightedExtendedNeighborhood.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted: Parameterization class.
LinearWeightedExtendedNeighborhood.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer
linelib - Variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Line style library to use
lineNumber - Variable in class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader: Current line number.
LineReader - Class in de.lmu.ifi.dbs.elki.utilities.io: Fast class to read a file, line per line.
LineReader(InputStream) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.LineReader: Constructor
LineReader(Reader) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.LineReader: Constructor
lines() - Method in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary
lines() - Method in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Get the line style library to use.
LineStyleLibrary - Interface in de.lmu.ifi.dbs.elki.visualization.style.lines: Interface to obtain CSS classes for plot lines.
lineTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Draw a line to the given coordinates.
lineTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Draw a line to the given coordinates.
lineTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Draw a line to the given coordinates.
LineVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel: Generates data lines.
LineVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization: Constructor.
LineVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel: Instance for a particular data set.
LineVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance: Constructor.
linkage - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES: Current linkage method in use.
linkage - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES.Parameterizer: Current linkage in use.
linkage - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering: Current linkage method in use.
linkage - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering.Parameterizer: Current linkage in use.
LINKAGE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES.Parameterizer: Option ID for linkage parameter.
LinkageMethod - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical: Abstract interface for implementing a new linkage method into hierarchical clustering.
linkForClassName(String) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters: Return a link for the class name
linkForClassName(String) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
linkForPackageName(String) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
list - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalListSizeConstraint: List parameter to be tested.
LIST_ADD - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
LIST_REMOVE - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
LIST_SEP - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ListParameter: List separator character - ":"
LIST_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Separator for lists.
LISTADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Static instance for lists.
listAdapter(List<? extends T>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Cast the static instance.
ListArrayAdapter<T> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike: Static adapter class to use a List in an array API.
ListArrayAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ListArrayAdapter: Constructor.
ListBasedColorLibrary - Class in de.lmu.ifi.dbs.elki.visualization.colors: Color library using the color names from a list.
ListBasedColorLibrary(String[], String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.colors.ListBasedColorLibrary: Constructor without a properties file name.
ListEachConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Applies constraints to all elements of a list.
ListEachConstraint() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListEachConstraint: Constructor.
ListEachConstraint(ParameterConstraint<? super Integer>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListEachConstraint: Constructor.
listener - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea: A listener to notify on drags (when not subclassing).
listenerList - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator: The event listeners for this parameter.
listenerList - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel: The event listeners for this panel.
listenerList - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor: Holds the listener.
listenerList - Variable in class de.lmu.ifi.dbs.elki.result.ResultHierarchy: Holds the listener.
listenerList - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox: Event listeners
listenerList - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext: The event listeners for this context.
ListParameter<THIS extends ListParameter<THIS,T>,T> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Abstract parameter class defining a parameter for a list of objects.
ListParameter(OptionID, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ListParameter: Constructs a list parameter with the given optionID.
ListParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ListParameter: Constructs a list parameter with the given optionID and optional flag.
ListParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ListParameter: Constructs a list parameter with the given optionID.
ListParameterization - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization: Parameterization handler using a List and OptionIDs, for programmatic use.
ListParameterization() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization: Default constructor.
ListParameterization(Collection<Pair<OptionID, Object>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization: Constructor with an existing collection.
ListParameterNoDuplicateValueConstraint<T> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Parameter constraint specifying that a parameter list is not allowed to have duplicate values.
ListParameterNoDuplicateValueConstraint() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListParameterNoDuplicateValueConstraint: Constructs a Not-Equal-Value parameter constraint.
ListSizeConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Represents a list-size parameter constraint.
ListSizeConstraint(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListSizeConstraint: Constructs a list size constraint with the given constraint size.
LMCLUS - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Linear manifold clustering in high dimensional spaces by stochastic search.
LMCLUS(int, int, int, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS: Constructor.
LMCLUS.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Parameterization class
LMCLUS.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer
LMCLUS.Separation - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Class to represent a linear manifold separation
LMCLUS.Separation() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Separation
LMMDistributionEstimator<D extends Distribution> - Interface in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Interface for distribution estimators based on the methods of L-Moments (LMM).
lmmests - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator: L-Moment estimators.
LMomentsEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality: Probability weighted moments based estimator using L-Moments.
LMomentsEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator
LMomentsEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality: Parameterization class.
LMomentsEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.Parameterizer
LMomentsEstimator.ReverseAdapter<A> - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality: Adapter to process an array in reverse order.
LMomentsEstimator.ReverseAdapter(NumberArrayAdapter<?, A>, int) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.ReverseAdapter: Constructor.
LNGDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer: Longitude dimension parameter.
LngLatAsECEFIndex<O extends NumberVector> - Class in de.lmu.ifi.dbs.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<O>, Projection<O, O>, Relation<O>, Index, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex: Constructor.
LngLatAsECEFIndex.Factory<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.projected: Index factory.
LngLatAsECEFIndex.Factory(IndexFactory<O, ?>, boolean, boolean, EarthModel) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory: Constructor.
LngLatAsECEFIndex.Factory.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.projected: Parameterization class.
LngLatAsECEFIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory.Parameterizer
LngLatDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.geo: Distance function for 2D vectors in Longitude, Latitude form.
LngLatDistanceFunction(EarthModel) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction: Constructor.
LngLatDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.geo: Parameterization class.
LngLatDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction.Parameterizer
LngLatToECEFFilter<V extends NumberVector> - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.datasource.filter.transform.LngLatToECEFFilter: Constructor.
LngLatToECEFFilter.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform: Parameterization class.
LngLatToECEFFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.LngLatToECEFFilter.Parameterizer
LngLatToECEFProjection<V extends NumberVector> - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection: Constructor.
LngLatToECEFProjection.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.projection: Parameterization class.
LngLatToECEFProjection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection.Parameterizer
LnSimilarityAdapter<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Adapter from a normalized similarity function to a distance function using -log(sim).
LnSimilarityAdapter(NormalizedSimilarityFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter: Constructor.
LnSimilarityAdapter.Instance<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Distance function instance
LnSimilarityAdapter.Instance(Relation<O>, DistanceFunction<? super O>, SimilarityQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter.Instance: Constructor.
LnSimilarityAdapter.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Parameterization class.
LnSimilarityAdapter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter.Parameterizer
load() - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile: Read the current file
load(Class<?>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader: Load the service file.
load(Class<?>, ClassLoader) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader: Load the service file.
load(Class<?>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner: Load classes via linear scanning.
loadCache(DistanceParser, File) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction
loadCache(DistanceParser, File) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.ArrayAdapterDatabaseConnection
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection
loadData() - Method in interface de.lmu.ifi.dbs.elki.datasource.DatabaseConnection: Returns the initial data for a database.
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.EmptyDatabaseConnection
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.ExternalIDJoinDatabaseConnection
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.LabelJoinDatabaseConnection
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.MultipleObjectsBundleDatabaseConnection
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection
loadData() - Method in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection
loadDenseInstance(StreamTokenizer, int[], TypeInformation[], int) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
loader - Static variable in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Class loader.
loadLatest() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Auto-load the last task from the history file.
loadNeighbors(Database, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory: Method to load the external neighbors.
loadSparseInstance(StreamTokenizer, int[], int[], TypeInformation[], int) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
loadXMLSpecification() - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Load the XML configuration file.
LocalIsolationCoefficient<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance: The Local Isolation Coefficient is the sum of the kNN distance and the average distance to its k nearest neighbors.
LocalIsolationCoefficient(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.LocalIsolationCoefficient: Constructor with parameters.
LocalIsolationCoefficient.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance: Parameterization class.
LocalIsolationCoefficient.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.LocalIsolationCoefficient.Parameterizer
LocalitySensitiveHashFunction<V> - Interface in de.lmu.ifi.dbs.elki.index.lsh.hashfunctions: Hash functions as used by locality sensitive hashing.
LocalitySensitiveHashFunctionFamily<V> - Interface in de.lmu.ifi.dbs.elki.index.lsh.hashfamilies: LSH family of hash functions.
LocalProjectionIndex<V extends NumberVector,P extends ProjectionResult> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed: Abstract index interface for local projections
LocalProjectionIndex.Factory<V extends NumberVector,I extends LocalProjectionIndex<V,?>> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed: Factory
locateFile(String, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.FileUtil: Try to locate an file in the filesystem, given a partial name and a prefix.
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution: The location (x0) parameter.
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution.Parameterizer: Parameters.
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution: Location parameter.
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution.Parameterizer: Parameters.
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution: Parameters: location and scale
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Parameterizer: Parameters.
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution: Parameters: location and scale
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution.Parameterizer: Parameters.
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution: Parameters: location and scale
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution.Parameterizer: Parameters.
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution: Location parameter.
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution.Parameterizer: Parameters.
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution: Parameters: location and scale
location - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution.Parameterizer: Parameters.
LOCATION_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution.Parameterizer: Location parameter.
LOCI<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Fast Outlier Detection Using the "Local Correlation Integral".
LOCI(DistanceFunction<? super O>, double, int, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI: Constructor.
LOCI.DoubleIntArrayList - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Array of double-int values.
LOCI.DoubleIntArrayList(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.DoubleIntArrayList: Constructor.
LOCI.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Parameterization class.
LOCI.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.Parameterizer
lock - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Lock for the file that will be kept while writing.
LOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Algorithm to compute density-based local outlier factors in a database based on a specified parameter LOF.Parameterizer.K_ID (-lof.k).
LOF(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOF: Constructor.
LOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Parameterization class.
LOF.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOF.Parameterizer
LOFProcessor - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel: Processor for computing the LOF.
LOFProcessor(DataStore<? extends KNNList>, DoubleDataStore, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LOFProcessor: Constructor.
LOFProcessor.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel: Instance
LOFProcessor.Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LOFProcessor.Instance: Constructor.
lofResult - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.OnlineLOF.LOFKNNListener: Holds the result of a former run of the LOF algorithm.
lofs - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult: The LOF values of the objects.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.classification.KNNClassifier: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.classification.PriorProbabilityClassifier: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit: The logger of the class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN: Get a logger for this algorithm
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate: The logger for this class.
log - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector: Logger, for progress logging.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CLINK: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.HDBSCANLinearMemory: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINKHDBSCANLinearMemory: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PAMInitialMeans: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBisecting: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansElkan: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHybridLloydMacQueen: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansLloyd: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMacQueen: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.ParallelLloydKMeans: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.SingleAssignmentKMeans: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelHierarchicalClustering: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllInOne: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllNoise: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CenterOfMassMetaClustering: Initialize a Logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CKMeans: CLass logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering: Initialize a Logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans: CLass logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DummyAlgorithm: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Eclat: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistancesSampler: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.NullAlgorithm: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.ABOD: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.FastABOD: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.LBABOD: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.EMOutlier: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.KMeansOutlierDetection: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.SilhouetteOutlierDetection: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierDetection: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierScore: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.KNNOutlier: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.KNNWeightOutlier: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.LocalIsolationCoefficient: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ODIN: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNOutlier: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNWeightOutlier: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ReferenceBasedOutlierDetection: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IDOS: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IntrinsicDimensionalityOutlier: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.COF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.INFLO: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDOF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.OnlineLOF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelLOF: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelSimplifiedLOF: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimpleKernelDensityLOF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimplifiedLOF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.VarianceOfVolume: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS: The Logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.SimpleOutlierEnsemble: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMeanMultipleAttributes: logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianAlgorithm: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianMultipleAttributes: logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMoranScatterplotOutlier: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC: Logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuScatterplotOutlier: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuZTestOutlier: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood: The logger to use.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SLOM: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SOF: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuNaive: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.svm.LibSVMOneClassOutlierDetection: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier: Our logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialAllOutlier: Our logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialNoOutlier: Our logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EstimateIntrinsicDimensionality: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication: We need a static logger in this class, for code used in "main" methods.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication: Logging class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances: Get a logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores: Our logger class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores: Get static logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment: Get static logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix: Get static logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIServices: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.internal.CheckParameterizables: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer: Our logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase: Our logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory: Logging for error messages.
LOG - Static variable in class de.lmu.ifi.dbs.elki.database.ProxyDatabase: Logger class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.database.relation.ConvertToStringView: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.database.relation.DBIDView: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.database.relation.ProxyView: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase: Our logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter: Class logger for the bundle writer.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.EmptyDatabaseConnection: Static logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.ExternalIDJoinDatabaseConnection: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.DropNaNFilter: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.NoMissingValuesFilter: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.VectorDimensionalityFilter: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseErfNormalization: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ShuffleObjectsFilter: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.SortByLabelFilter: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.MultivariateTimeSeriesFilter: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SparseVectorFieldFilter: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainifyFilter: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainSplitFilter: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.LabelJoinDatabaseConnection: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser: Logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser: Logging class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.LibSVMFormatParser: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Logging class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.AutomaticEvaluation: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering: Logger for debug output.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateCIndex: Logger for debug output.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateConcordantPairs: Logger for debug output.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateDaviesBouldin: Logger for debug output.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluatePBMIndex: Logger for debug output.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette: Logger for debug output.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSimplifiedSilhouette: Logger for debug output.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSquaredErrors: Logger for debug output.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateVarianceRatioCriteria: Logger for debug output.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.LogClusterSizes: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores: Logger for debug output.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve: The logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve: The logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation: The logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve: The logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve: The logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage: The logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: ELKI logger for the GUI.
LOG - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI: ELKI logger for the GUI
LOG - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel: ELKI logger for the GUI
LOG - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParametersModel: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor: Logging class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor: Logger to use.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor: Logger to use.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor: Logger to use
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor: Logger to use
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor: Logger to use
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.KNNQueryFilteredPCAIndex: Logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex: Logger to use.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex: Logger to use.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor: Get a logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: The logger for this class.
log - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeSettings: Flag log.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: The appropriate logger for this index.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex: The appropriate logger for this index.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: The appropriate logger for this index.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit: Logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit: Logger class
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile: Logging class.
log(Level, CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a log message at the given level.
log(Level, CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a log message and exception at the given level.
log(LogRecord) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a given log record (should be a ELKILogRecord)
LOG - Static variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.NormalizingEigenPairFilter: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.CorrelationDependenceMeasure: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache: Our class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: Our logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler: Logger class to use.
LOG - Static variable in class de.lmu.ifi.dbs.elki.result.LogResultStructureResultHandler: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.result.ResultHierarchy: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.result.ResultWriter: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput: Logger for debugging.
LOG - Static variable in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Static logger to use.
LOG - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization: The logger of the class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter: The class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.GridBasedReferencePoints: Class logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry: The logger class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations: Get a logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Our logging class
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Logging class
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer: Get a logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow: Get a logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow: The logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog: Static logger reference
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext: Logger.
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer: Get a logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization: Class logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization: The logger for this class.
LOG - Static variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep: Logger
LOG - Static variable in class de.lmu.ifi.dbs.elki.workflow.LoggingStep: Logger
LOG10 - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Natural logarithm of 10.
log10res - Variable in class de.lmu.ifi.dbs.elki.math.scales.LinearScale: Scale resolution in log10.
log1mexp(double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: More stable than Math.log(1 - Math.exp(x))
Log1PlusNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Normalize the data set by applying log(1+|x|*b)/log(b+1) to any value.
Log1PlusNormalization(double) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization: Constructor.
Log1PlusNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Parameterization class.
Log1PlusNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Parameterizer
LOG2 - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Logarithm of 2 to the basis e, for logarithm conversion.
log2(double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Compute the base 2 logarithm.
LOG3 - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Logarithm of 3 to the basis e, for logarithm conversion.
LOG_HELPER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.svm.LibSVMOneClassOutlierDetection: Setup logging helper for SVM.
log_k - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: The values of log(1),..
LOG_PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity: Precision for entropy normalization.
LOG_PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure: Precision for entropy normalization.
logAndClearReportedErrors() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization: Log any error that has accumulated.
logbab - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution: Log beta(a, b) cache
logbase - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution: Logarithm of base.
logBeta(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution: Compute log beta(a,b)
logcdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: The log CDF, static version.
logcdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution: log Cumulative density function.
logcdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution: The log CDF, static version.
logcdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution: The log CDF, static version.
logcdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution: log Cumulative density function.
LogClusterSizes - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.evaluation.clustering.LogClusterSizes
logClusterSizes(Clustering<C>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.clustering.LogClusterSizes: Log the cluster sizes of a clustering.
logExpensive(Level, String, Throwable) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil: Expensive logging function that is convenient, but should only be used in rare conditions.
logExpensive(Level, String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil: Expensive logging function that is convenient, but should only be used in rare conditions.
logGamma(double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: Compute logGamma.
LogGammaAlternateDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Alternate Log-Gamma Distribution, with random generation and density functions.
LogGammaAlternateDistribution(double, double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution: Constructor for Gamma distribution.
LogGammaAlternateDistribution(double, double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution: Constructor for Gamma distribution.
LogGammaAlternateDistribution(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution: Constructor for Gamma distribution.
LogGammaAlternateDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Parameterization class
LogGammaAlternateDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution.Parameterizer
LogGammaAlternateExpMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Robust parameter estimation for the LogGamma distribution.
LogGammaAlternateExpMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaAlternateExpMADEstimator: Private constructor.
LogGammaAlternateExpMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogGammaAlternateExpMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaAlternateExpMADEstimator.Parameterizer
LogGammaChoiWetteEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate distribution parameters using the method by Choi and Wette.
LogGammaChoiWetteEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaChoiWetteEstimator: Private constructor.
LogGammaChoiWetteEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogGammaChoiWetteEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaChoiWetteEstimator.Parameterizer
LogGammaDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Log-Gamma Distribution, with random generation and density functions.
LogGammaDistribution(double, double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution: Constructor for Gamma distribution.
LogGammaDistribution(double, double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution: Constructor for Gamma distribution.
LogGammaDistribution(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution: Constructor for Gamma distribution.
LogGammaDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Parameterization class
LogGammaDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution.Parameterizer
LogGammaLogMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Robust parameter estimation for the LogGamma distribution.
LogGammaLogMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaLogMADEstimator: Private constructor.
LogGammaLogMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogGammaLogMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaLogMADEstimator.Parameterizer
LogGammaLogMOMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Simple parameter estimation for the Gamma distribution.
LogGammaLogMOMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaLogMOMEstimator: Private constructor: use static instance.
LogGammaLogMOMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogGammaLogMOMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaLogMOMEstimator.Parameterizer
logger - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialAverageCoordinateOutlier: Our logger.
logger - Variable in class de.lmu.ifi.dbs.elki.logging.Logging: Wrapped logger of this instance - not static!
LOGGER_ELKI_TOP - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Logger for ELKI top level package.
LOGGER_GLOBAL_TOP - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Top level logger.
LOGGER_TIME_TOP - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Logger for ELKI timing.
loggers - Static variable in class de.lmu.ifi.dbs.elki.logging.Logging: HashMap to keep track of loggers.
Logging - Class in de.lmu.ifi.dbs.elki.logging: This class is a wrapper around Logger and LogManager offering additional convenience functions.
Logging(Logger) - Constructor for class de.lmu.ifi.dbs.elki.logging.Logging: Constructor, wrapping a logger.
Logging.Level - Class in de.lmu.ifi.dbs.elki.logging: Logging Level class.
Logging.Level(String, int) - Constructor for class de.lmu.ifi.dbs.elki.logging.Logging.Level: Constructor.
LOGGING_PROPERTIES_FILE - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Configuration file name
LoggingConfiguration - Class in de.lmu.ifi.dbs.elki.logging: Facility for configuration of logging.
LoggingConfiguration(String, String) - Constructor for class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Configure Java Logging API: LogManager
LoggingStep - Class in de.lmu.ifi.dbs.elki.workflow: Pseudo-step to configure logging / verbose mode.
LoggingStep(int, String[][]) - Constructor for class de.lmu.ifi.dbs.elki.workflow.LoggingStep: Constructor.
LoggingStep.Parameterizer - Class in de.lmu.ifi.dbs.elki.workflow: Parameterization class.
LoggingStep.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.LoggingStep.Parameterizer
LoggingTabPanel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels: Panel to handle logging
LoggingTabPanel() - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.LoggingTabPanel: Constructor.
LoggingUtil - Class in de.lmu.ifi.dbs.elki.logging: This final class contains some static convenience methods for logging.
LoggingUtil() - Constructor for class de.lmu.ifi.dbs.elki.logging.LoggingUtil
LogisticDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Logistic distribution.
LogisticDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution: Constructor.
LogisticDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution: Constructor.
LogisticDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution: Constructor.
LogisticDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Parameterization class
LogisticDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution.Parameterizer
LogisticLMMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate the parameters of a Logistic Distribution, using the methods of L-Moments (LMM).
LogisticLMMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogisticLMMEstimator: Constructor.
LogisticLMMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogisticLMMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogisticLMMEstimator.Parameterizer
LogisticMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate Logistic distribution parameters using Median and MAD.
LogisticMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogisticMADEstimator: Private constructor, use static instance!
LogisticMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogisticMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogisticMADEstimator.Parameterizer
logl - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: log(l) precomputed
logLikelihood(Relation<V>, Clustering<? extends MeanModel>, NumberVectorDistanceFunction<? super V>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.AbstractKMeansQualityMeasure: Computes log likelihood of an entire clustering.
logLikelihoodAlternate(Relation<V>, Clustering<? extends MeanModel>, NumberVectorDistanceFunction<? super V>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.AbstractKMeansQualityMeasure: Computes log likelihood of an entire clustering.
loglikelihoodAnomalous(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: Loglikelihood anomalous objects.
loglikelihoodNormal(DBIDs, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: Computes the loglikelihood of all normal objects.
LOGLOG2 - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Log(log(2))
LogLogisticDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Log-Logistic distribution also known as Fisk distribution.
LogLogisticDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution: Constructor.
LogLogisticDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution: Constructor.
LogLogisticDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution: Constructor.
LogLogisticDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Parameterization class
LogLogisticDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution.Parameterizer
LogLogisticMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate Logistic distribution parameters using Median and MAD.
LogLogisticMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogLogisticMADEstimator: Private constructor, use static instance!
LogLogisticMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogLogisticMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogLogisticMADEstimator.Parameterizer
LogMADDistributionEstimator<D extends Distribution> - Interface in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Distribuition estimators that use the method of moments (MOM) in logspace.
logmadests - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator: Logspace Median average deviation from median estimators.
logmean - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution: Mean value for the generator
logmean - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution.Parameterizer: Parameters.
LOGMEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution.Parameterizer: LogMean parameter
logml - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: log(1-l) precomputed
LogMOMDistributionEstimator<D extends Distribution> - Interface in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Distribuition 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 de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator: Logspace Method of Moments estimators.
LogNormalBilkovaLMMEstimator - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator: Constructor.
LogNormalBilkovaLMMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogNormalBilkovaLMMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator.Parameterizer
LogNormalDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Log-Normal distribution.
LogNormalDistribution(double, double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution: Constructor for Log-Normal distribution
LogNormalDistribution(double, double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution: Constructor for Log-Normal distribution
LogNormalDistribution(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution: Constructor.
LogNormalDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Parameterization class
LogNormalDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution.Parameterizer
LogNormalLevenbergMarquardtKDEEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Distribution parameter estimation using Levenberg-Marquardt iterative optimization and a kernel density estimation.
LogNormalLevenbergMarquardtKDEEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator: Constructor.
LogNormalLevenbergMarquardtKDEEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogNormalLevenbergMarquardtKDEEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator.Parameterizer
LogNormalLMMEstimator - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator: Constructor.
LogNormalLMMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogNormalLMMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator.Parameterizer
LogNormalLogMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimator using Medians.
LogNormalLogMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLogMADEstimator: Constructor.
LogNormalLogMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogNormalLogMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLogMADEstimator.Parameterizer
LogNormalLogMOMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Naive distribution estimation using mean and sample variance.
LogNormalLogMOMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator: Private constructor, use static instance!
LogNormalLogMOMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
LogNormalLogMOMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator.Parameterizer
logOProjectionConst - Static variable in class de.lmu.ifi.dbs.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 - Class in de.lmu.ifi.dbs.elki.gui.util: A Swing object to receive ELKI logging output.
LogPane() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.LogPane: Constructor
logpane - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPanel: The actual text logging pane
LogPane.LogPaneHandler - Class in de.lmu.ifi.dbs.elki.gui.util: Internal Handler
LogPane.LogPaneHandler() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.LogPane.LogPaneHandler: Constructor.
LogPanel - Class in de.lmu.ifi.dbs.elki.gui.util: Panel that contains a text logging pane (LogPane) and progress bars.
LogPanel() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.LogPanel: Constructor.
LogPanel.LogPanelHandler - Class in de.lmu.ifi.dbs.elki.gui.util: Internal Handler
LogPanel.LogPanelHandler() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.LogPanel.LogPanelHandler: Constructor.
logpdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution: Static version of the PDF of the beta distribution
logpdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: Gamma distribution PDF (with 0.0 for x < 0)
logpdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution: log Probability density function.
logpdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution: LogGamma distribution PDF (with 0.0 for x < 0)
logpdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution: log Probability density function.
LOGPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Math.log(Math.PI).
LOGPIHALF - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Math.log(Math.PI) / 2.
logpoissonPDFm1(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution: Compute the poisson distribution PDF with an offset of + 1 log pdf(x_plus_1 - 1, lambda)
logquantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution: log Quantile function.
LogRankingPseudoOutlierScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: This is a pseudo outlier scoring obtained by only considering the ranks of the objects.
LogRankingPseudoOutlierScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling
logregularizedGammaP(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: Returns the regularized gamma function log P(a, x).
LogResultStructureResultHandler - Class in de.lmu.ifi.dbs.elki.result: A result handler to help with ELKI development that will just show the structure of the result object.
LogResultStructureResultHandler() - Constructor for class de.lmu.ifi.dbs.elki.result.LogResultStructureResultHandler
logsigma - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution.Parameterizer: Parameters.
logSizes() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Debug logging
LOGSQRTTWOPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Math.log(Math.sqrt(2*Math.PI)).
logStatistics() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPTree: Output some statistics to logging.
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex
logStatistics() - Method in interface de.lmu.ifi.dbs.elki.index.Index: Send statistics to the logger, if enabled.
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Log some statistics.
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.KNNQueryFilteredPCAIndex
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Log some statistics, if enabled.
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics: Log the statistics.
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics: Log the statistics.
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
logStatistics() - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile
logStatistics() - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFile
logStatistics() - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile
logStatistics() - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache
logStatistics() - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFile: Log some statistics to the appropriate logger.
logstddev - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution: Standard deviation
LOGSTDDEV_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution.Parameterizer: LogScale parameter
logTab - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI: Logging panel.
LOGTWOPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Math.log(2*Math.PI).
logUncaughtExceptions(Logging) - Static method in class de.lmu.ifi.dbs.elki.gui.GUIUtil: Setup logging of uncaught exceptions.
logUnusedParameters() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization: Log a warning if there were unused parameters.
logVarstat(DoubleStatistic, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans: Log statistics on the variance sum.
logVarstat(DoubleStatistic, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans: Log statistics on the variance sum.
LONG_32_BITS - Static variable in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Masking 32 bit
LONG_63_BITS - Static variable in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Long, with 63 bits set
LONG_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect: Adapter for long arrays.
LONG_ALL_BITS - Static variable in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Long with all bits set
LONG_LOG2_MASK - Static variable in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Masking for long shifts.
LONG_LOG2_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Shift factor for a long: 2^6 == 64 == Long.SIZE
LONG_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil: Static instance.
LongArrayStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram: Histogram containing an array of longs (i.e.
LongArrayStaticHistogram(int, double, double, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongArrayStaticHistogram: Constructor.
LongDynamicHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram: A flexible histogram storing long, that can dynamically adapt the number of bins to the data fed into the histogram.
LongDynamicHistogram(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram: Constructor.
LongHistogram - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram: Histogram storing long values.
LongHistogram.Iter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram: Iterator interface.
LongParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a long value.
LongParameter(OptionID, long) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.LongParameter: Constructs a long parameter with the given optionID and default value.
LongParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.LongParameter: Constructs a long parameter with the given optionID.
LongStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram: Histogram class storing long values.
LongStaticHistogram(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongStaticHistogram: Constructor.
LongStaticHistogram.Iter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram: Iterator class.
LongStaticHistogram.Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongStaticHistogram.Iter
LongStatistic - Class in de.lmu.ifi.dbs.elki.logging.statistics: Trivial long-valued statistic.
LongStatistic(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.LongStatistic: Constructor.
LongStatistic(String, long) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.LongStatistic: Constructor.
longValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector
longValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector: Returns the value in the specified dimension as long.
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector: Deprecated.
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector: Deprecated.
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector: Deprecated.
longValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector: Deprecated.
longValue(int) - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.data.SparseShortVector: Deprecated.
longValue(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry
longValue(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
lookup - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VALPNormDistance: Lookup table for grid cells.
LoOP<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: LoOP: Local Outlier Probabilities Distance/density based algorithm similar to LOF to detect outliers, but with statistical methods to achieve better result stability.
LoOP(int, int, DistanceFunction<? super O>, DistanceFunction<? super O>, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP: Constructor with parameters.
LoOP.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Parameterization class.
LoOP.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP.Parameterizer
LorentzianDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Lorentzian distance function for vector spaces.
LorentzianDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.LorentzianDistanceFunction: Deprecated.
Use LorentzianDistanceFunction.STATIC instance instead.
LorentzianDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Parameterization class.
LorentzianDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.LorentzianDistanceFunction.Parameterizer
lowerHull - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull: The lower hull.
lowerisbetter - Variable in class de.lmu.ifi.dbs.elki.result.EvaluationResult.Measurement: Indicates low values are better.
lowerIsBetter() - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult.Measurement: Return true if low values are better.
lowerSubspaces(Subspace) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: Returns the list of all (d-1)-dimensional subspaces of the specified d-dimensional subspace.
LPIntegerNormDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski: LP-Norm for NumberVectors, optimized version for integer values of p.
LPIntegerNormDistanceFunction(int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction: Constructor, internal version.
LPIntegerNormDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski: Parameterization class.
LPIntegerNormDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction.Parameterizer
LPNormDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski: LP-Norm for NumberVectors.
LPNormDistanceFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction: Constructor, internal version.
LPNormDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski: Parameterization class.
LPNormDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction.Parameterizer
lpow10(long, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.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 de.lmu.ifi.dbs.elki.utilities.BitsUtil: Compute m * pow(2., n) using bit operations.
LRDProcessor - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel: Processor for the "local reachability density" of LOF.
LRDProcessor(DataStore<? extends KNNList>, DoubleDataStore) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LRDProcessor: Constructor.
LRDProcessor.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel: Instance
LRDProcessor.Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LRDProcessor.Instance: Constructor.
lrds - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult: The LRD values of the objects.
lrds - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LOFProcessor: LRD store
LRUCache<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent: An LRU cache, based on LinkedHashMap.
LRUCache(int, PageFile<P>) - Constructor for class de.lmu.ifi.dbs.elki.persistent.LRUCache: Initializes this cache with the specified parameters.
LRUCachePageFileFactory<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent: Page file factory for memory page files.
LRUCachePageFileFactory(PageFileFactory<P>, int) - Constructor for class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory: Constructor.
LRUCachePageFileFactory.Parameterizer - Class in de.lmu.ifi.dbs.elki.persistent: Parameterization class.
LRUCachePageFileFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory.Parameterizer
LSDBC<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Locally scaled Density Based Clustering.
LSDBC(DistanceFunction<? super O>, int, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC: Constructor.
LSDBC.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Parameterization class
LSDBC.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC.Parameterizer
LU - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition: Array for internal storage of decomposition.
LUDecomposition - Class in de.lmu.ifi.dbs.elki.math.linearalgebra: LU Decomposition.
LUDecomposition(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition: LU Decomposition
LUDecomposition(double[][], int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition: LU Decomposition

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