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

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All Classes All Packages

Q

q - Variable in class elki.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter: Iterators for accessing the data objects.
Q - Variable in class elki.svm.solver.Solver
Q_i - Variable in class elki.svm.solver.Solver
Q_j - Variable in class elki.svm.solver.Solver
QD - Variable in class elki.svm.qmatrix.Kernel
QD - Variable in class elki.svm.qmatrix.SVR_Q
QMatrix - Interface in elki.svm.qmatrix: API to get kernel similarity values.
QR - Variable in class elki.math.linearalgebra.QRDecomposition: Array for internal storage of decomposition.
QRDecomposition - Class in elki.math.linearalgebra: QR Decomposition.
QRDecomposition(double[][]) - Constructor for class elki.math.linearalgebra.QRDecomposition: QR Decomposition, computed by Householder reflections.
QRDecomposition(double[][], int, int) - Constructor for class elki.math.linearalgebra.QRDecomposition: QR Decomposition, computed by Householder reflections.
qrStep(double[], int, int, boolean, boolean) - Method in class elki.math.linearalgebra.SingularValueDecomposition
QUADRATIC - elki.outlier.svm.LibSVMOneClassOutlierDetection.SVMKernel
quadraticEuclidean(double[], double[]) - Static method in class elki.math.geometry.SweepHullDelaunay2D: Squared euclidean distance. 2d.
QuadraticStddevWeight - Class in elki.math.linearalgebra.pca.weightfunctions: Quadratic weight function, scaled using the standard deviation: \( \max\{0.0, 1.0 - \frac{\text{dist}^2}{3\sigma^2} \} \).
QuadraticStddevWeight() - Constructor for class elki.math.linearalgebra.pca.weightfunctions.QuadraticStddevWeight
QuadraticWeight - Class in elki.math.linearalgebra.pca.weightfunctions: Quadratic weight function, scaled using the maximum to reach 0.1 at that point using: \( 1.0 - 0.9 \frac{\text{dist}^2}{\max^2}\} \)
QuadraticWeight() - Constructor for class elki.math.linearalgebra.pca.weightfunctions.QuadraticWeight
quadTo(double[], double[]) - Method in class elki.visualization.svg.SVGPath: Quadratic Bezier line to the given coordinates.
quadTo(double, double, double, double) - Method in class elki.visualization.svg.SVGPath: Quadratic Bezier line to the given coordinates.
QuadTree(double[][], BarnesHutTSNE.QuadTree[], double[], int, double) - Constructor for class elki.projection.BarnesHutTSNE.QuadTree: Constructor.
QUADTREE_MIN_RESOLUION - Static variable in class elki.projection.BarnesHutTSNE: Minimum resolution of quadtree.
quality(Clustering<? extends MeanModel>, NumberVectorDistance<? super V>, Relation<V>) - Method in class elki.clustering.kmeans.quality.AkaikeInformationCriterion
quality(Clustering<? extends MeanModel>, NumberVectorDistance<? super V>, Relation<V>) - Method in class elki.clustering.kmeans.quality.AkaikeInformationCriterionXMeans
quality(Clustering<? extends MeanModel>, NumberVectorDistance<? super V>, Relation<V>) - Method in class elki.clustering.kmeans.quality.BayesianInformationCriterion
quality(Clustering<? extends MeanModel>, NumberVectorDistance<? super V>, Relation<V>) - Method in class elki.clustering.kmeans.quality.BayesianInformationCriterionXMeans
quality(Clustering<? extends MeanModel>, NumberVectorDistance<? super V>, Relation<V>) - Method in class elki.clustering.kmeans.quality.BayesianInformationCriterionZhao
quality(Clustering<? extends MeanModel>, NumberVectorDistance<? super V>, Relation<V>) - Method in interface elki.clustering.kmeans.quality.KMeansQualityMeasure: Calculates and returns the quality measure.
quality(Clustering<? extends MeanModel>, NumberVectorDistance<? super V>, Relation<V>) - Method in class elki.clustering.kmeans.quality.WithinClusterMeanDistance
quality(Clustering<? extends MeanModel>, NumberVectorDistance<? super V>, Relation<V>) - Method in class elki.clustering.kmeans.quality.WithinClusterVariance
qualityMeasure - Variable in class elki.clustering.kmeans.BestOfMultipleKMeans: Quality measure which should be used.
quantb - Variable in class elki.distance.colorhistogram.HSBHistogramQuadraticDistance.Par: Quantization factors for hue, saturation, brightness
quanth - Variable in class elki.distance.colorhistogram.HSBHistogramQuadraticDistance.Par: Quantization factors for hue, saturation, brightness
quantile - Variable in class elki.algorithm.statistics.DistanceQuantileSampler.Par: Quantile to compute.
quantile - Variable in class elki.algorithm.statistics.DistanceQuantileSampler: Quantile to compute.
quantile - Variable in class elki.clustering.affinitypropagation.DistanceBasedInitializationWithMedian: Quantile to use.
quantile - Variable in class elki.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian: Quantile to use.
quantile - Variable in class elki.utilities.ensemble.EnsembleVotingMedian.Par: Quantile to use
quantile - Variable in class elki.utilities.ensemble.EnsembleVotingMedian: Quantile to use
quantile(double) - Method in class elki.math.statistics.distribution.BetaDistribution
quantile(double) - Method in class elki.math.statistics.distribution.CauchyDistribution
quantile(double) - Method in class elki.math.statistics.distribution.ChiDistribution
quantile(double) - Method in class elki.math.statistics.distribution.ConstantDistribution
quantile(double) - Method in interface elki.math.statistics.distribution.Distribution: Quantile aka probit (for normal) aka inverse CDF (invcdf, cdf^-1) function.
quantile(double) - Method in class elki.math.statistics.distribution.ExpGammaDistribution
quantile(double) - Method in class elki.math.statistics.distribution.ExponentialDistribution
quantile(double) - Method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution: Deprecated.
Not yet implemented!
quantile(double) - Method in class elki.math.statistics.distribution.GammaDistribution
quantile(double) - Method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
quantile(double) - Method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
quantile(double) - Method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution
quantile(double) - Method in class elki.math.statistics.distribution.GeneralizedParetoDistribution
quantile(double) - Method in class elki.math.statistics.distribution.GumbelDistribution
quantile(double) - Method in class elki.math.statistics.distribution.HaltonUniformDistribution
quantile(double) - Method in class elki.math.statistics.distribution.InverseGaussianDistribution: Deprecated.
NOT YET IMPLEMENTED.
quantile(double) - Method in class elki.math.statistics.distribution.KappaDistribution
quantile(double) - Method in class elki.math.statistics.distribution.LaplaceDistribution
quantile(double) - Method in class elki.math.statistics.distribution.LogGammaDistribution
quantile(double) - Method in class elki.math.statistics.distribution.LogisticDistribution
quantile(double) - Method in class elki.math.statistics.distribution.LogLogisticDistribution
quantile(double) - Method in class elki.math.statistics.distribution.LogNormalDistribution
quantile(double) - Method in class elki.math.statistics.distribution.NormalDistribution
quantile(double) - Method in class elki.math.statistics.distribution.PoissonDistribution
quantile(double) - Method in class elki.math.statistics.distribution.RayleighDistribution
quantile(double) - Method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
quantile(double) - Method in class elki.math.statistics.distribution.StudentsTDistribution
quantile(double) - Method in class elki.math.statistics.distribution.UniformDistribution
quantile(double) - Method in class elki.math.statistics.distribution.WeibullDistribution
quantile(double[], double) - Static method in class elki.utilities.datastructures.QuickSelect: Compute the median of an array efficiently using the QuickSelect method.
quantile(double[], int, int, double) - Static method in class elki.utilities.datastructures.QuickSelect: Compute the median of an array efficiently using the QuickSelect method.
quantile(double, double) - Static method in class elki.math.statistics.distribution.ChiSquaredDistribution: Return the quantile function for this distribution
quantile(double, double) - Static method in class elki.math.statistics.distribution.ExponentialDistribution: Quantile function, static version
quantile(double, double) - Static method in class elki.math.statistics.distribution.RayleighDistribution: Quantile function of Rayleigh distribution
quantile(double, double, double) - Static method in class elki.math.statistics.distribution.BetaDistribution: Compute quantile (inverse cdf) for Beta distributions.
quantile(double, double, double) - Static method in class elki.math.statistics.distribution.CauchyDistribution: PDF function, static version.
quantile(double, double, double) - Static method in class elki.math.statistics.distribution.GammaDistribution: Compute probit (inverse cdf) for Gamma distributions.
quantile(double, double, double) - Static method in class elki.math.statistics.distribution.GumbelDistribution: Quantile function of Gumbel distribution
quantile(double, double, double) - Static method in class elki.math.statistics.distribution.InverseGaussianDistribution: Deprecated.
NOT YET IMPLEMENTED.
quantile(double, double, double) - Static method in class elki.math.statistics.distribution.LaplaceDistribution: Quantile function, static version
quantile(double, double, double) - Static method in class elki.math.statistics.distribution.LogisticDistribution: Quantile function.
quantile(double, double, double) - Static method in class elki.math.statistics.distribution.LogNormalDistribution: Inverse cumulative probability density function (probit) of a normal distribution.
quantile(double, double, double) - Static method in class elki.math.statistics.distribution.NormalDistribution: Inverse cumulative probability density function (probit) of a normal distribution.
quantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.ExpGammaDistribution: Compute probit (inverse cdf) for ExpGamma distributions.
quantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution: Deprecated.
Not yet implemented!
quantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution: Quantile function of GEV distribution
quantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution: Quantile function.
quantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution: Quantile function.
quantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedParetoDistribution: Quantile function of GPD distribution
quantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.LogGammaDistribution: Compute probit (inverse cdf) for LogGamma distributions.
quantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.LogLogisticDistribution: Quantile function.
quantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution: Inverse cumulative probability density function (probit) of a normal distribution.
quantile(double, double, double, double) - Static method in class elki.math.statistics.distribution.WeibullDistribution: Quantile function of Weibull distribution
quantile(double, double, double, double, double) - Static method in class elki.math.statistics.distribution.KappaDistribution: Quantile function.
quantile(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, double) - Static method in class elki.database.ids.QuickSelectDBIDs: Compute the median of an array efficiently using the QuickSelect method.
quantile(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int, int, double) - Static method in class elki.database.ids.QuickSelectDBIDs: Compute the median of an array efficiently using the QuickSelect method.
quantile(ModifiableDoubleDBIDList, double) - Static method in class elki.database.ids.QuickSelectDBIDs: Compute the median of an array efficiently using the QuickSelect method.
quantile(ModifiableDoubleDBIDList, int, int, double) - Static method in class elki.database.ids.QuickSelectDBIDs: Compute the median of an array efficiently using the QuickSelect method.
quantile(List<? extends T>, Comparator<? super T>, double) - Static method in class 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 elki.utilities.datastructures.QuickSelect: Compute the median of an array efficiently using the QuickSelect method.
QUANTILE_ID - Static variable in class elki.algorithm.statistics.DistanceQuantileSampler.Par: Quantile to compute.
QUANTILE_ID - Static variable in interface elki.clustering.affinitypropagation.AffinityPropagationInitialization: Quantile to use for the diagonal entries.
QUANTILE_ID - Static variable in class elki.utilities.ensemble.EnsembleVotingMedian.Par: Option ID for the quantile
QUANTILES - elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate: Selected quantiles.
quants - Variable in class elki.distance.colorhistogram.HSBHistogramQuadraticDistance.Par: Quantization factors for hue, saturation, brightness
quarsteps - Variable in class elki.math.SinCosTable.QuarterTable: Number of steps div 4
QUARTERPI - Static variable in class elki.math.MathUtil: One quarter of Pi.
QuarterTable(int) - Constructor for class elki.math.SinCosTable.QuarterTable: Constructor for tables with
queries - Variable in class elki.application.benchmark.KNNBenchmark: The alternate query point source.
queries - Variable in class elki.application.benchmark.PrioritySearchBenchmark: The alternate query point source.
queries - Variable in class elki.application.benchmark.RangeQueryBenchmark: The alternate query point source.
queries - Variable in class elki.application.benchmark.ValidateApproximativeKNNIndex: The alternate query point source.
query - Variable in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher: Current query object.
query - Variable in class elki.database.query.distance.LinearScanPrioritySearcher: Current query object.
query - Variable in class elki.index.laesa.LAESA.LAESAKNNByDBIDSearcher: Query object
query - Variable in class elki.index.laesa.LAESA.LAESAKNNByObjectSearcher: Query object
query - Variable in class elki.index.laesa.LAESA.LAESARangeByDBIDSearcher: Query object
query - Variable in class elki.index.laesa.LAESA.LAESARangeByObjectSearcher: Query object
query - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNDBIDSearcher: Query reference.
query - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNObjectSearcher: Query object.
query - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePriorityDBIDSearcher: Query object
query - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePriorityObjectSearcher: Query object
query - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeRangeDBIDSearcher: Query reference.
query - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeRangeObjectSearcher: Query object.
query - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNDBIDSearcher: Query reference.
query - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNObjectSearcher: Query object.
query - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePriorityDBIDSearcher: Query object
query - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePriorityObjectSearcher: Query object
query - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeDBIDSearcher: Query reference.
query - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeObjectSearcher: Query object.
query - Variable in class elki.index.tree.metrical.vptree.GNAT.GNATKNNDBIDSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.GNAT.GNATKNNObjectSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.GNAT.GNATPriorityDBIDSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.GNAT.GNATPriorityObjectSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.GNAT.GNATRangeDBIDSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.GNAT.GNATRangeObjectSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.VPTree.VPTreeKNNDBIDSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.VPTree.VPTreeKNNObjectSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.VPTree.VPTreePriorityDBIDSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.VPTree.VPTreePriorityObjectSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.VPTree.VPTreeRangeDBIDSearcher: Current query object
query - Variable in class elki.index.tree.metrical.vptree.VPTree.VPTreeRangeObjectSearcher: Current query object
query - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher: Current query object.
query - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher: Current query object.
query - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher: Current query object.
query - Variable in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher: Query object
query - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher: Query object
queryApprox - Variable in class elki.index.vafile.VALPNormDistance: Approximation of the query vector.
QueryBuilder<O> - Class in elki.database.query: Class to build a query.
QueryBuilder(DistanceQuery<? super O>) - Constructor for class elki.database.query.QueryBuilder: Constructor.
QueryBuilder(SimilarityQuery<? super O>) - Constructor for class elki.database.query.QueryBuilder: Constructor.
QueryBuilder(Relation<O>, Distance<? super O>) - Constructor for class elki.database.query.QueryBuilder: Constructor.
QueryBuilder(Relation<O>, Similarity<? super O>) - Constructor for class elki.database.query.QueryBuilder: Constructor.
queryDistance(DBIDRef) - Method in class elki.index.laesa.LAESA.LAESAKNNByDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.laesa.LAESA.LAESAKNNByObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.laesa.LAESA.LAESAKNNSearcher: Compute the distance to a candidate object.
queryDistance(DBIDRef) - Method in class elki.index.laesa.LAESA.LAESARangeByDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.laesa.LAESA.LAESARangeByObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.laesa.LAESA.LAESARangeSearcher: Compute the distance to a candidate object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNSearcher: Compute distance to query object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePriorityDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePriorityObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher: Compute distance to query object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeRangeDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeRangeObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeRangeSearcher: Compute distance to query object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNSearcher: Compute distance to query object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePriorityDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePriorityObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher: Compute distance to query object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeSearcher: Compute distance to query object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATKNNDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATKNNObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATKNNSearcher: Query the distance to a query object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPriorityDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPriorityObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPrioritySearcher: Query the distance to a query object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATRangeDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATRangeObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATRangeSearcher: Query the distance to a query object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreeKNNDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreeKNNObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreeKNNSearcher: Compute the distance to a candidate object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePriorityDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePriorityObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher: Compute the distance to a candidate object.
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreeRangeDBIDSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreeRangeObjectSearcher
queryDistance(DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreeRangeSearcher: Compute the distance to a candidate object.
QueryOptimizer - Interface in elki.database.query: Interface to automatically add indexes to a database when no suitable indexes have been found.
queryTime - Variable in class elki.index.vafile.PartialVAFile.Statistics
queue - Variable in class elki.clustering.hierarchical.birch.CFTree.LeafIterator: Queue of open ends.
queue - Variable in class elki.index.tree.betula.CFTree.LeafIterator: Queue of open ends.
queue - Variable in class elki.index.tree.BreadthFirstEnumeration: The queue for the enumeration.
queue - Static variable in class elki.result.Metadata: Reference queue for CLEANER.
queue - Variable in class elki.utilities.datastructures.heap.Heap: Heap storage.
queue - Variable in class elki.visualization.svg.UpdateRunner: The queue of pending updates
queue - Variable in class elki.visualization.visualizers.thumbs.ThumbnailThread: Queue of thumbnails to generate.
queue(ThumbnailThread.Listener) - Static method in class elki.visualization.visualizers.thumbs.ThumbnailThread: Queue a thumbnail task in a global thumbnail thread.
quickSelect(double[], int) - Static method in class 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 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 elki.database.ids.QuickSelectDBIDs: 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 elki.database.ids.QuickSelectDBIDs: QuickSelect is essentially quicksort, except that we only "sort" that half of the array that we are interested in.
quickSelect(ModifiableDoubleDBIDList, int) - Static method in class elki.database.ids.QuickSelectDBIDs: QuickSelect is essentially quicksort, except that we only "sort" that half of the array that we are interested in.
quickSelect(ModifiableDoubleDBIDList, int, int, int) - Static method in class elki.database.ids.QuickSelectDBIDs: 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 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 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, QuickSelect.Adapter<T>, int, int, int) - Static method in class elki.utilities.datastructures.QuickSelect: QuickSelect is essentially quicksort, except that we only "sort" that half of the array that we are interested in.
QuickSelect - Class in 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 elki.utilities.datastructures.QuickSelect: Do not instantiate - static methods only!
QuickSelect.Adapter<T> - Interface in elki.utilities.datastructures: Adapter class to apply QuickSelect to arbitrary data structures.
QuickSelectDBIDs - Class in elki.database.ids: QuickSelect computes ("selects") the element at a given rank and can be used to compute Medians and arbitrary quantiles by computing the appropriate rank.
QuickSelectDBIDs() - Constructor for class elki.database.ids.QuickSelectDBIDs: Do not instantiate - static methods only!
quickSort(double[], int[], int, int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Actual recursive sort function.
quickSort(int[], int, int, IntComparator) - Static method in class elki.utilities.datastructures.arrays.IntegerArrayQuickSort: Actual recursive sort function.
quickSort(int[], int, int, Comparator<? super DBIDRef>, IntegerDBIDVar, IntegerDBIDVar, IntegerDBIDVar) - Static method in class elki.database.ids.integer.IntegerDBIDArrayQuickSort: Actual recursive sort function.
quickSortReverse(double[], int[], int, int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Actual recursive sort function.
quickTransfer() - Method in class elki.clustering.kmeans.HartiganWongKMeans.Instance: Step 6: the quick transfer (QTRAN) phase.
quitItem - Variable in class elki.visualization.gui.ResultWindow.DynamicMenu: The "Quit" button, to close the application.
QUOTE - Static variable in class elki.result.textwriter.TextWriterStream: String to separate different entries while printing.
QUOTE_CHAR - Static variable in class elki.utilities.io.Tokenizer: Quote characters
QUOTE_CHARS - Static variable in class elki.datasource.parser.CSVReaderFormat: A quote pattern
QUOTE_ID - Static variable in class elki.datasource.parser.CSVReaderFormat.Par: OptionID for the quote character parameter (defaults to a double quotation mark as in CSVReaderFormat.QUOTE_CHARS.
quoteChars - Variable in class elki.datasource.parser.CSVReaderFormat.Par: Stores the quotation character
quoteChars - Variable in class elki.datasource.parser.CSVReaderFormat: Stores the quotation character
quoteChars - Variable in class elki.utilities.io.Tokenizer: Stores the quotation character
quoted - Variable in class elki.utilities.io.Tokenizer: Whether the current token is a quoted string.
quotePrintln(PrintStream, String) - Method in class elki.result.textwriter.TextWriterStream: Quoted println.
QuotientOutlierScoreMeta - Class in elki.result.outlier: Score for outlier values generated by a quotient.
QuotientOutlierScoreMeta(double, double) - Constructor for class elki.result.outlier.QuotientOutlierScoreMeta: Constructor with actual minimum and maximum values.
QuotientOutlierScoreMeta(double, double, double, double) - Constructor for class elki.result.outlier.QuotientOutlierScoreMeta: Constructor with all range values.
QuotientOutlierScoreMeta(double, double, double, double, double) - Constructor for class elki.result.outlier.QuotientOutlierScoreMeta: Full constructor with all values.

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