- QR - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition
-
Array for internal storage of decomposition.
- QRDecomposition - Class in de.lmu.ifi.dbs.elki.math.linearalgebra
-
QR Decomposition.
- QRDecomposition(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition
-
QR Decomposition, computed by Householder reflections.
- QRDecomposition(double[][], int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition
-
QR Decomposition, computed by Householder reflections.
- quadraticEuclidean(Vector, Vector) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D
-
Squared euclidean distance. 2d.
- QuadraticStddevWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions
-
Quadratic weight function, scaled using the standard deviation.
- QuadraticStddevWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.QuadraticStddevWeight
-
- QuadraticWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions
-
Quadratic weight function, scaled using the maximum to reach 0.1 at that
point.
1.0 - 0.9 * (distance/max)^2
- QuadraticWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.QuadraticWeight
-
- quadTo(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
Quadratic Bezier line to the given coordinates.
- quadTo(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
Quadratic Bezier line to the given coordinates.
- quadTo(Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
Quadratic Bezier line to the given coordinates.
- qualityMeasure - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans.Parameterizer
-
Quality measure.
- qualityMeasure - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans
-
Quality measure which should be used.
- QUALITYMEASURE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans.Parameterizer
-
Parameter to specify the variant of quality measure.
- qualPanel - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
-
Shows quality info when saving as JPEG.
- quant - Variable in class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveHSBColorHistogram.Parameterizer
-
- quant - Variable in class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveRGBColorHistogram.Parameterizer
-
- quant - Variable in class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveRGBColorHistogram
-
Number of bins in each dimension to use.
- quantb - Variable in class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram.Parameterizer
-
- quantb - Variable in class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram
-
Number of bins in brightness to use.
- quantb - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction.Parameterizer
-
- quanth - Variable in class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram.Parameterizer
-
- quanth - Variable in class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram
-
Number of bins in hue to use.
- quanth - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction.Parameterizer
-
- quantile - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.DistanceBasedInitializationWithMedian.Parameterizer
-
Quantile to use.
- quantile - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.DistanceBasedInitializationWithMedian
-
Quantile to use.
- quantile - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian.Parameterizer
-
Quantile to use.
- quantile - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian
-
Quantile to use.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
- quantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
Compute quantile (inverse cdf) for Beta distributions.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution
-
- quantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution
-
PDF function, static version.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution
-
- quantile(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution
-
Return the quantile function for this distribution
Reference:
Algorithm AS 91: The percentage points of the $\chi$^2 distribution
D.J.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution
-
- quantile(double) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.distribution.Distribution
-
Quantile aka probit (for normal) aka inverse CDF (invcdf, cdf^-1) function.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution
-
- quantile(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution
-
Quantile function, static version
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
-
Deprecated.
Not yet implemented!
- quantile(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
-
Deprecated.
Not yet implemented!
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
-
- quantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
-
Compute probit (inverse cdf) for Gamma distributions.
- quantile(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
-
Quantile function of GEV distribution
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
-
- quantile(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
-
Quantile function.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
-
- quantile(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution
-
Quantile function.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution
-
- quantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution
-
Quantile function of Weibull distribution
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution
-
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
-
- quantile(double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution
-
Quantile function.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution
-
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution
-
- quantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution
-
Quantile function, static version
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution
-
- quantile(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution
-
Compute probit (inverse cdf) for LogGamma distributions.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution
-
- quantile(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution
-
Compute probit (inverse cdf) for LogGamma distributions.
- quantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution
-
Quantile function.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution
-
- quantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution
-
Quantile function.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution
-
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution
-
- quantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution
-
Inverse cumulative probability density function (probit) of a normal
distribution.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
- quantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Inverse cumulative probability density function (probit) of a normal
distribution.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution
-
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution
-
- quantile(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution
-
Quantile function of Rayleigh distribution
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
-
- quantile(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
-
Inverse cumulative probability density function (probit) of a normal
distribution.
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution
-
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution
-
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution
-
Deprecated.
NOT YET IMPLEMENTED.
- quantile(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution
-
Deprecated.
NOT YET IMPLEMENTED.
- quantile(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution
-
Quantile function of Weibull distribution
- quantile(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution
-
- quantile(double[], double) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Compute the median of an array efficiently using the QuickSelect method.
- quantile(double[], int, int, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Compute the median of an array efficiently using the QuickSelect method.
- quantile(T[], double) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Compute the median of an array efficiently using the QuickSelect method.
- quantile(T[], int, int, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Compute the median of an array efficiently using the QuickSelect method.
- quantile(List<? extends T>, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Compute the median of an array efficiently using the QuickSelect method.
- quantile(List<? extends T>, int, int, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Compute the median of an array efficiently using the QuickSelect method.
- quantile(List<? extends T>, Comparator<? super T>, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Compute the median of an array efficiently using the QuickSelect method.
- quantile(List<? extends T>, Comparator<? super T>, int, int, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Compute the median of an array efficiently using the QuickSelect method.
- quantile(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Compute the median of an array efficiently using the QuickSelect method.
- quantile(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int, int, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Compute the median of an array efficiently using the QuickSelect method.
- quantile - Variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMedian.Parameterizer
-
Quantile to use
- quantile - Variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMedian
-
Quantile to use
- QUANTILE_ID - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationInitialization
-
Quantile to use for the diagonal entries.
- QUANTILE_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMedian.Parameterizer
-
Option ID for the quantile
- quants - Variable in class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram.Parameterizer
-
- quants - Variable in class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram
-
Number of bins in saturation to use.
- quants - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction.Parameterizer
-
- quarsteps - Variable in class de.lmu.ifi.dbs.elki.math.SinCosTable.QuarterTable
-
Number of steps div 4
- QUARTERPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil
-
One quarter of Pi.
- queries - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer
-
The alternate query point source.
- queries - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm
-
The alternate query point source.
- queries - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer
-
The alternate query point source.
- queries - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm
-
The alternate query point source.
- queries - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer
-
The alternate query point source.
- queries - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex
-
The alternate query point source.
- QUERY_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer
-
Parameter for the query dataset.
- QUERY_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer
-
Parameter for the query dataset.
- QUERY_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer
-
Parameter for the query dataset.
- queryApprox - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VALPNormDistance
-
Approximation of the query vector.
- queryTime - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
-
- QueryUtil - Class in de.lmu.ifi.dbs.elki.database
-
Static class with utilities related to querying a database.
- QueryUtil() - Constructor for class de.lmu.ifi.dbs.elki.database.QueryUtil
-
- queue - Variable in class de.lmu.ifi.dbs.elki.index.tree.BreadthFirstEnumeration
-
The queue for the enumeration.
- queue - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
-
Heap storage.
- queue - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner
-
The queue of pending updates
- queue - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread
-
Queue of thumbnails to generate.
- QUEUE(ThumbnailThread.Listener) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread
-
Queue a thumbnail task in a global thumbnail thread.
- queue(ThumbnailThread.Task) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread
-
Queue a new thumbnail task.
- quickMedian(Relation<V>, ArrayDBIDs, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil
-
Returns the median of a data set in the given dimension by using a sampling
method.
- QuickSelect - Class in de.lmu.ifi.dbs.elki.utilities.datastructures
-
QuickSelect computes ("selects") the element at a given rank and can be used
to compute Medians and arbitrary quantiles by computing the appropriate rank.
- QuickSelect() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
- quickSelect(T, QuickSelect.Adapter<T>, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- quickSelect(double[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- quickSelect(double[], int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- quickSelect(T[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- quickSelect(T[], int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- quickSelect(List<? extends T>, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- quickSelect(List<? extends T>, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- quickSelect(List<? extends T>, Comparator<? super T>, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- quickSelect(List<? extends T>, Comparator<? super T>, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- quickSelect(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- quickSelect(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
QuickSelect is essentially quicksort, except that we only "sort" that half
of the array that we are interested in.
- QuickSelect.Adapter<T> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures
-
Adapter class to apply QuickSelect to arbitrary data structures.
- quickSort(double[], int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerArrayQuickSort
-
Actual recursive sort function.
- quickSort(int[], int, int, Comparator<? super DBIDRef>, IntegerDBIDVar, IntegerDBIDVar, IntegerDBIDVar) - Static method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDArrayQuickSort
-
Actual recursive sort function.
- quickSort(int[], int, int, IntegerComparator) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort
-
Actual recursive sort function.
- quitItem - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
-
The "Quit" button, to close the application.
- QUOTE - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
-
String to separate different entries while printing.
- QUOTE_CHAR - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.Tokenizer
-
Quote characters
- QUOTE_CHARS - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser
-
A quote pattern
- QUOTE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser.Parameterizer
-
- quoteChars - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser.Parameterizer
-
Stores the quotation character
- quoteChars - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.Tokenizer
-
Stores the quotation character
- quotePrintln(PrintStream, String) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
-
Quoted println.
- QuotientOutlierScoreMeta - Class in de.lmu.ifi.dbs.elki.result.outlier
-
Score for outlier values generated by a quotient.
- QuotientOutlierScoreMeta(double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.QuotientOutlierScoreMeta
-
Constructor with actual minimum and maximum values.
- QuotientOutlierScoreMeta(double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.QuotientOutlierScoreMeta
-
Constructor with all range values.
- QuotientOutlierScoreMeta(double, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.QuotientOutlierScoreMeta
-
Full constructor with all values.
