W-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

W

w - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer: Half width parameter.
w - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC: Half width parameter.
w - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem: Size: width
w - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton: Width
W_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer: Half width parameter.
WaldDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Inverse Gaussian distribution aka Wald distribution
WaldDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution: Constructor for wald distribution
WaldDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution: Constructor for wald distribution
WaldDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution: Constructor for Gaussian distribution
WaldDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Parameterization class
WaldDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution.Parameterizer
WaldMLEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate parameter of the Wald distribution.
WaldMLEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMLEstimator
WaldMLEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
WaldMLEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMLEstimator.Parameterizer
WaldMOMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate parameter of the Wald distribution.
WaldMOMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMOMEstimator
WaldMOMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
WaldMOMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMOMEstimator.Parameterizer
walpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter.Parameterizer
walpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter: The noise tolerance level for weak eigenvectors
walpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter.Parameterizer: The noise tolerance level for weak eigenvectors
walpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter: The noise tolerance level for weak eigenvectors
walpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter.Parameterizer
walpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter: The noise tolerance level for weak eigenvectors
walpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter.Parameterizer: The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.
walpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter: The noise tolerance level for weak eigenvectors
WardLinkageMethod - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical: Ward's method clustering method.
WardLinkageMethod() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.WardLinkageMethod: Deprecated.
use the static instance WardLinkageMethod.STATIC instead.
WardLinkageMethod.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical: Class parameterizer.
WardLinkageMethod.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.WardLinkageMethod.Parameterizer
warned - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery: Warn only once.
warned - Variable in class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery: Warn only once.
warning(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'warning' level.
warning(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'warning' level.
warning(String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil: Static version to log a warning message.
warning(String, Throwable) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil: Static version to log a warning message.
warnoverwrite - Variable in class de.lmu.ifi.dbs.elki.result.ResultWriter.Parameterizer: Whether or not to warn on overwrite
warnoverwrite - Variable in class de.lmu.ifi.dbs.elki.result.ResultWriter: Whether or not to warn on overwrite
WeakEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: The WeakEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and returns the first eigenpairs who are above the average mark as "strong", the others as "weak".
WeakEigenPairFilter(double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter: Constructor.
WeakEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class.
WeakEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter.Parameterizer
weakEigenPairs - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FilteredEigenPairs: The weak eigenpairs.
weakEigenvalues - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult: The weak eigenvalues.
weakEigenvectors - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: The weak eigenvectors of the hyperplane induced by the correlation.
weakEigenvectors - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult: The weak eigenvectors to their corresponding filtered eigenvalues.
WeibullDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Weibull distribution.
WeibullDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution: Constructor.
WeibullDistribution(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution: Constructor.
WeibullDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution: Constructor.
WeibullDistribution(double, double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution: Constructor.
WeibullDistribution(double, double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution: Constructor.
WeibullDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Parameterization class
WeibullDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution.Parameterizer
WeibullLMMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate parameters of the Weibull distribution using the method of L-Moments (LMM).
WeibullLMMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLMMEstimator: Constructor.
WeibullLMMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
WeibullLMMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLMMEstimator.Parameterizer
WeibullLogMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameter estimation via median and median absolute deviation from median (MAD).
WeibullLogMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLogMADEstimator: Constructor.
WeibullLogMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
WeibullLogMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLogMADEstimator.Parameterizer
WeibullLogMOMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Naive parameter estimation via least squares.
WeibullLogMOMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLogMOMEstimator: Constructor.
WeibullLogMOMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
WeibullLogMOMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLogMOMEstimator.Parameterizer
WEIGHT_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Parameter to specify the weight function to use in weighted PCA, must implement WeightFunction .
weightDistance - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Holds the distance function used for weight calculation.
WeightedAverageLinkageMethod - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical: Weighted average linkage clustering method.
WeightedAverageLinkageMethod() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.WeightedAverageLinkageMethod: Deprecated.
use the static instance WeightedAverageLinkageMethod.STATIC instead.
WeightedAverageLinkageMethod.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical: Class parameterizer.
WeightedAverageLinkageMethod.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.WeightedAverageLinkageMethod.Parameterizer
WeightedCanberraDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Weighted Canberra distance function, a variation of Manhattan distance.
WeightedCanberraDistanceFunction(double[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedCanberraDistanceFunction: Constructor.
WeightedCovarianceMatrixBuilder<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: CovarianceMatrixBuilder with weights.
WeightedCovarianceMatrixBuilder(WeightFunction) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Constructor.
WeightedCovarianceMatrixBuilder.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class.
WeightedCovarianceMatrixBuilder.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder.Parameterizer
weightedDistance(V, V, BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance: Computes the weighted distance between the two specified vectors according to the given preference vector.
weightedDistance(DBID, DBID, BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance: Computes the weighted distance between the two specified vectors according to the given preference vector.
WeightedDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Provides the Weighted distance for feature vectors.
WeightedDistanceFunction(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedDistanceFunction: Provides the Weighted distance for feature vectors.
WeightedEuclideanDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski: Provides the Euclidean distance for FeatureVectors.
WeightedEuclideanDistanceFunction(double[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction: Constructor.
WeightedLPNormDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski: Weighted version of the Minkowski L_p metrics distance function.
WeightedLPNormDistanceFunction(double, double[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction: Constructor.
WeightedManhattanDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski: Weighted version of the Minkowski L_p metrics distance function.
WeightedManhattanDistanceFunction(double[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction: Constructor.
WeightedMaximumDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski: Weighted version of the Minkowski L_p metrics distance function.
WeightedMaximumDistanceFunction(double[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction: Constructor.
WeightedNeighborSetPredicate - Interface in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted: Neighbor predicate with weight support.
WeightedNeighborSetPredicate.Factory<O> - Interface in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted: Factory interface to produce instances.
weightedPearsonCorrelationCoefficient(NumberVector<?>, NumberVector<?>, double[]) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Provides the Pearson product-moment correlation coefficient for two FeatureVectors.
weightedPearsonCorrelationCoefficient(NumberVector<?>, NumberVector<?>, NumberVector<?>) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Provides the Pearson product-moment correlation coefficient for two FeatureVectors.
weightedPearsonCorrelationCoefficient(double[], double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Provides the Pearson product-moment correlation coefficient for two FeatureVectors.
WeightedPearsonCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation: Pearson correlation distance function for feature vectors.
WeightedPearsonCorrelationDistanceFunction(double[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction: Provides a PearsonCorrelationDistanceFunction.
weightedPrefereneceVectorDistance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance: Computes the weighted distance between the two specified data vectors according to their preference vectors.
WeightedSquaredEuclideanDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski: Provides the squared Euclidean distance for FeatureVectors.
WeightedSquaredEuclideanDistanceFunction(double[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction: Constructor.
WeightedSquaredPearsonCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation: Squared Pearson correlation distance function for feature vectors.
WeightedSquaredPearsonCorrelationDistanceFunction(double[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedSquaredPearsonCorrelationDistanceFunction: Provides a SquaredPearsonCorrelationDistanceFunction.
weightfunction - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder.Parameterizer: Weight function.
weightfunction - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Holds the weight function.
WeightFunction - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions: WeightFunction interface that allows the use of various distance-based weight functions.
weightMatrix - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedDistanceFunction: The weight matrix.
weights - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction: Weights
weights - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedSquaredPearsonCorrelationDistanceFunction: Weights
weights - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction: Weight array
weights - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction: Weight array
weights - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedCanberraDistanceFunction: Weight array
weightVector - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.SODModel: Relevant dimensions.
WelchTTest - Class in de.lmu.ifi.dbs.elki.math.statistics.tests: Calculates a test statistic according to Welch's t test for two samples Supplies methods for calculating the degrees of freedom according to the Welch-Satterthwaite Equation.
WelchTTest() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.tests.WelchTTest: Constructor.
WelchTTest.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.tests: Parameterizer, to use the static instance.
WelchTTest.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.tests.WelchTTest.Parameterizer
WGS72_FLATTENING - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.WGS72SpheroidEarthModel: Flattening f of the WGS72 Ellipsoid.
WGS72_INV_FLATTENING - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.WGS72SpheroidEarthModel: Inverse flattening 1/f of the WGS72 Ellipsoid.
WGS72_RADIUS - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.WGS72SpheroidEarthModel: Radius of the WGS72 Ellipsoid in m (a).
WGS72SpheroidEarthModel - Class in de.lmu.ifi.dbs.elki.math.geodesy: The WGS72 spheroid earth model, without height model.
WGS72SpheroidEarthModel() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.WGS72SpheroidEarthModel: Constructor.
WGS72SpheroidEarthModel.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.geodesy: Parameterization class.
WGS72SpheroidEarthModel.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.WGS72SpheroidEarthModel.Parameterizer
WGS84_FLATTENING - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.WGS84SpheroidEarthModel: Flattening f of the WGS84 Ellipsoid.
WGS84_INV_FLATTENING - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.WGS84SpheroidEarthModel: Inverse flattening 1/f of the WGS84 Ellipsoid.
WGS84_RADIUS - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.WGS84SpheroidEarthModel: Radius of the WGS84 Ellipsoid in m (a).
WGS84SpheroidEarthModel - Class in de.lmu.ifi.dbs.elki.math.geodesy: The WGS84 spheroid earth model, without height model (so not a geoid, just a spheroid!)
WGS84SpheroidEarthModel() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.WGS84SpheroidEarthModel: Constructor.
WGS84SpheroidEarthModel.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.geodesy: Parameterization class.
WGS84SpheroidEarthModel.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.WGS84SpheroidEarthModel.Parameterizer
WHITESPACE - Static variable in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Whitespace.
whitespace(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: Returns a string with the specified number of whitespace.
WHITESPACE_BUFFER - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: Whitespace.
WHITESPACE_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: A pattern defining whitespace.
width - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree: Tree parameters
width - Variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances: Image size.
width - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractHashFunctionFamily.Parameterizer: Width of each bin.
width - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractHashFunctionFamily: Width of each bin.
width - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction: Scaling factor.
width - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: The created width
width - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: Width of plot
width - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel: The width of the exported image (if exported to JPEG or PNG).
width - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Width
WIDTH_ID - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractHashFunctionFamily.Parameterizer: Parameter for choosing the bin width.
widths - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Column widths
WINDOW_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering.Parameterizer: Half window width to find local minima.
WINDOW_TITLE_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer: Parameter to specify the window title Key: -vis.window.title Default value: "ELKI Result Visualization"
WinsorisingEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta: Winsorising or Georgization estimator.
WinsorisingEstimator(DistributionEstimator<D>, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator: Constructor.
WinsorisingEstimator.Parameterizer<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta: Parameterization class.
WinsorisingEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator.Parameterizer
winsorize - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator.Parameterizer: Amount of data to winsorize.
winsorize - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator: Amount of data to winsorize.
WINSORIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator.Parameterizer: Option for specifying the amount of data to winsorize.
WithinClusterMeanDistanceQualityMeasure - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality: Class for computing the average overall distance.
WithinClusterMeanDistanceQualityMeasure() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterMeanDistanceQualityMeasure
WithinClusterVarianceQualityMeasure - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality: Class for computing the variance in a clustering result (sum-of-squares).
WithinClusterVarianceQualityMeasure() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterVarianceQualityMeasure
wlb - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures: "WLB"
WorkflowStep - Interface in de.lmu.ifi.dbs.elki.workflow: Trivial interface for workflow steps.
wrap(Database, DBIDs, Relation<O>) - Static method in class de.lmu.ifi.dbs.elki.database.relation.ProxyView: Constructor-like static method.
wrapped - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SingleSubsetArrayAdapter: Wrapped adapter
wrapped - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SubsetArrayAdapter: Wrapped adapter.
wrapped - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SubsetNumberArrayAdapter: Wrapped adapter
writable - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Writable or read-only object.
WritableDataStore<T> - Interface in de.lmu.ifi.dbs.elki.database.datastore: Writable data store.
WritableDBIDDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore: Data store specialized for doubles.
WritableDoubleDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore: Data store specialized for doubles.
WritableDoubleDistanceDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore: Data store specialized for doubles.
WritableIntegerDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore: Data store specialized for doubles.
WritableRecordStore - Interface in de.lmu.ifi.dbs.elki.database.datastore: Represents a storage which stores multiple values per object in a record fashion.
write(char[], int, int) - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Writer that keeps track of when it hasn't seen a newline yet, will auto-insert newlines except when lines start with a carriage return.
write(String, int, int) - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Writer that keeps track of when it hasn't seen a newline yet, will auto-insert newlines except when lines start with a carriage return.
write(int) - Method in class de.lmu.ifi.dbs.elki.persistent.ByteBufferOutputStream
write(byte[], int, int) - Method in class de.lmu.ifi.dbs.elki.persistent.ByteBufferOutputStream
write(TextWriterStream, String, O) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterWriterInterface: Write a given object to the output stream.
write(TextWriterStream, String, DoubleDoublePair) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterDoubleDoublePair: Serialize a pair, component-wise
write(TextWriterStream, String, T[]) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterObjectArray: Serialize an object into the inline section.
write(TextWriterStream, String, Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterObjectComment: Put an object into the comment section
write(TextWriterStream, String, Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterObjectInline: Serialize an object into the inline section.
write(TextWriterStream, String, Pair<?, ?>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterPair: Serialize a pair, component-wise
write(TextWriterStream, String, TextWriteable) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterTextWriteable: Use the objects own text serialization.
write(TextWriterStream, String, Triple<?, ?, ?>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterTriple: Serialize a triple, component-wise
write(TextWriterStream, String, Vector) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterVector: Serialize an object into the inline section.
writeAccess - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFile: The write I/O-Access of this file.
writeBundleStream(BundleStreamSource, WritableByteChannel) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter: Write a bundle stream to a file output channel.
writeClusterResult(Database, StreamFactory, Clustering<Model>, Cluster<Model>, List<Relation<?>>, NamingScheme) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
writeClusters(OutputStreamWriter, MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: Write the resulting clusters to an output stream.
writeDouble(byte[], int, double) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Write a double to the byte array at the given offset.
writeEmptyPages(Stack<Integer>, RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: Write the indices of empty pages the the end of file.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox: The object implements the writeExternal method to save its contents by calling the methods of DataOutput for its primitive values or calling the writeObject method of ObjectOutput for objects, strings, and arrays.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance: Writes the bit value of this BitDistance to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.CorrelationDistance: Writes the correlation value and the euclidean value of this CorrelationDistance to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance: Writes the double value of this DoubleDistance to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance: Writes the float value of this FloatDistance to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance: Writes the integer value of this IntegerDistance to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance: Calls CorrelationDistance.writeExternal(java.io.ObjectOutput) and writes additionally the dimensionality and each Byte of the common preference vector to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.SubspaceDistance: Writes the subspace distance value and the affine distance value of this SubspaceDistance to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry: Writes the id of the object (node or data object) that is represented by this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry: Writes the id of the object (node or data object) that is represented by this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Calls the super method and writes the id of this node, the numEntries and the entries array to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry: Calls the super method and writes the polynomial approximation of the knn distances of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry: Calls the super method and writes the polynomiale approximation of the knn distances of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation: The object implements the writeExternal method to save its contents by calling the methods of DataOutput for its primitive values or calling the writeObject method of ObjectOutput for objects, strings, and arrays.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine: The object implements the writeExternal method to save its contents by calling the methods of DataOutput for its primitive values or calling the writeObject method of ObjectOutput for objects, strings, and arrays.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry: Calls the super method and writes the conservative approximation of the knn distances of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: Calls the super method and writes the conservative and progressive approximation of the knn distances of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry: Calls the super method and writes the knn distance of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry: Calls the super method and writes the knn distance of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry: Calls the super method and writes the parameter k_max and the knn distances of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry: Calls the super method and writes the parameter k_max and the knn distances of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Calls the super method and writes the routingObjectID, the parentDistance and the coveringRadius of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: Calls the super method and writes the parentDistance of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode: Calls the super method and writes the id of this node, the numEntries and the entries array to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry: Calls the super method and writes the MBR object of this entry to the specified output stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry: Calls the super method and writes the values of this entry to the specified stream.
writeExternal(ObjectOutput) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage: The object implements the writeExternal method to save its contents by calling the methods of DataOutput for its primitive values or calling the writeObject method of ObjectOutput for objects, strings, and arrays.
writeFloat(byte[], int, float) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Write a float to the byte array at the given offset.
writeHeader(BundleStreamSource, ByteBuffer, WritableByteChannel) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter: Write the header for the given stream to the stream.
writeHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader: Writes this header to the specified file.
writeHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: Writes this header to the specified file.
writeHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: Writes this header to the specified file.
writeHeader(RandomAccessFile) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader: Writes this header to the specified file.
writeImage(BufferedImage, TranscoderOutput) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailTranscoder: Output will be ignored!
writeInt(byte[], int, int) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Write an integer to the byte array at the given offset.
writeIterableResult(StreamFactory, IterableResult<?>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
writeKMLData(XMLStreamWriter, OutlierResult, Database) - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler
writeLong(byte[], int, long) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Write a long to the byte array at the given offset.
writeNewlineOnDebug(XMLStreamWriter) - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler: Print a newline when debugging.
writeNode(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Write a node to the backing storage.
writeObject(TextWriterStream, String, Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterWriterInterface: Non-type-checking version.
writeOrderingResult(Database, StreamFactory, OrderingResult, List<Relation<?>>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
writeOtherResult(StreamFactory, Result) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
writePage(P) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFile: Writes a page into this file.
writePage(int, P) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFile: Perform the actual page write operation.
writePage(int, P) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache
writePage(int, P) - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile
writePage(int, P) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: Write page to disk.
writePage(P) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFile: Writes a page into this file.
writePage(int, P) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: This method is called by the cache if the page is not longer stored in the cache and has to be written to disk.
writeResult(PrintStream, DBIDs, OutlierResult, ScalingFunction, String) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores: Write a single output line.
writers - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter: Hash map for supported classes in writer.
writers - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Handlers for various object types.
writeSettingsResult(StreamFactory, List<SettingsResult>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
writeShort(byte[], int, int) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Write a short to the byte array at the given offset.
writeSignedVarint(ByteBuffer, int) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Write an signed integer using a variable-length encoding.
writeSignedVarintLong(ByteBuffer, long) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Write a signed long using a variable-length encoding.
writeString(ByteBuffer, String) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Write a string to the buffer.
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.SODModel
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.Cluster: Write to a textual representation.
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.model.BaseModel: Implement writeToText as per TextWriteable interface.
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Text output of the equation system
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationModel: Implementation of TextWriteable interface
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.model.DendrogramModel: Implementation of TextWriteable interface.
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.model.DimensionModel: Implementation of TextWriteable interface
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.model.EMModel
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.model.LinearEquationModel: Implementation of TextWriteable interface
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.model.MeanModel: Implementation of TextWriteable interface.
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.model.MedoidModel: Implementation of TextWriteable interface.
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.data.model.SubspaceModel
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.ScoreResult
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve.PrecisionAtKCurve
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.PRCurve
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve.ROCResult
writeToText(TextWriterStream, String) - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve
writeToText(TextWriterStream, String) - Method in interface de.lmu.ifi.dbs.elki.result.textwriter.TextWriteable: Write self to the given TextWriterStream
writeUnsignedVarint(ByteBuffer, int) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Write an unsigned integer using a variable-length encoding.
writeUnsignedVarintLong(ByteBuffer, long) - Static method in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Write an unsigned long using a variable-length encoding.
writeXHTML(Document, OutputStream) - Static method in class de.lmu.ifi.dbs.elki.utilities.xml.HTMLUtil: Write an HTML document to an output stream.
WrongParameterValueException - Exception in de.lmu.ifi.dbs.elki.utilities.optionhandling: Thrown by a Parameterizable object in case of wrong parameter format.
WrongParameterValueException(Parameter<?>, String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException: Thrown by a Parameterizable object in case of wrong parameter format.
WrongParameterValueException(Parameter<?>, String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException: Thrown by a Parameterizable object in case of wrong parameter format.
WrongParameterValueException(Parameter<?>, String, String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException: Thrown by a Parameterizable object in case of wrong parameter format.
WrongParameterValueException(Parameter<?>, String, String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException: Thrown by a Parameterizable object in case of wrong parameter format.
WrongParameterValueException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException: Thrown by a Parameterizable object in case of wrong parameter format.
WrongParameterValueException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException: Thrown by a Parameterizable object in case of wrong parameter format.
wsum - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid: The current weight.
wsum - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix: The current weight.

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