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V

valid() - Method in class elki.clustering.hierarchical.birch.CFTree.LeafIterator

valid() - Method in class elki.index.tree.betula.CFTree.LeafIterator

valueAt(int, int) - Method in class elki.clustering.biclustering.AbstractBiclustering

Returns the value of the data matrix at row row and column col.

valueOf(String) - Static method in enum elki.clustering.hierarchical.HACAM.Variant

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum elki.clustering.kmeans.KDTreePruningKMeans.Split

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Mode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum elki.evaluation.clustering.internal.NoiseHandling

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum elki.index.tree.betula.CFTree.Threshold

Returns the enum constant of this type with the specified name.

values() - Static method in enum elki.clustering.hierarchical.HACAM.Variant

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum elki.clustering.kmeans.KDTreePruningKMeans.Split

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Mode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum elki.evaluation.clustering.internal.NoiseHandling

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum elki.index.tree.betula.CFTree.Threshold

Returns an array containing the constants of this enum type, in the order they are declared.

variance - Variable in class elki.clustering.em.models.SphericalGaussianModel

Single variances for all dimensions.

variance - Variable in class elki.clustering.em.models.TextbookSphericalGaussianModel

Variances.

variance() - Method in class elki.index.tree.betula.features.BIRCHCF

variance() - Method in interface elki.index.tree.betula.features.ClusterFeature

Returns the total variance.

variance() - Method in class elki.index.tree.betula.features.VIIFeature

variance() - Method in class elki.index.tree.betula.features.VVIFeature

variance() - Method in class elki.index.tree.betula.features.VVVFeature

variance(int) - Method in class elki.index.tree.betula.features.BIRCHCF

variance(int) - Method in interface elki.index.tree.betula.features.ClusterFeature

Returns the variance in the specified dimension.

variance(int) - Method in class elki.index.tree.betula.features.VIIFeature

variance(int) - Method in class elki.index.tree.betula.features.VVIFeature

variance(int) - Method in class elki.index.tree.betula.features.VVVFeature

varianceContributionOfCluster(Cluster<? extends MeanModel>, NumberVectorDistance<?>, Relation<? extends NumberVector>) - Static method in class elki.clustering.kmeans.quality.AbstractKMeansQualityMeasure

Variance contribution of a single cluster.

VarianceIncreaseDistance - Class in elki.clustering.hierarchical.birch

Variance increase distance.

VarianceIncreaseDistance - Class in elki.index.tree.betula.distance

Variance increase distance.

VarianceIncreaseDistance() - Constructor for class elki.clustering.hierarchical.birch.VarianceIncreaseDistance

VarianceIncreaseDistance() - Constructor for class elki.index.tree.betula.distance.VarianceIncreaseDistance

VarianceIncreaseDistance.Par - Class in elki.clustering.hierarchical.birch

Parameterization class.

VarianceIncreaseDistance.Par - Class in elki.index.tree.betula.distance

Parameterization class.

VarianceRatioCriterion - Class in elki.evaluation.clustering.internal

Compute the Variance Ratio Criterion of a data set, also known as Calinski-Harabasz index.

VarianceRatioCriterion(NoiseHandling, boolean) - Constructor for class elki.evaluation.clustering.internal.VarianceRatioCriterion

Constructor.

VarianceRatioCriterion.Par - Class in elki.evaluation.clustering.internal

Parameterization class.

variances - Variable in class elki.clustering.em.models.DiagonalGaussianModel

Per-dimension variances.

VarianceWeight - Class in elki.clustering.kmeans.initialization.betula

Variance-based weighting scheme for k-means clustering with BETULA.

VarianceWeight() - Constructor for class elki.clustering.kmeans.initialization.betula.VarianceWeight

variant - Variable in class elki.clustering.hierarchical.HACAM.Instance

Linkage variant to use

variant - Variable in class elki.clustering.hierarchical.HACAM

Linkage variant to use

Variant() - Constructor for enum elki.clustering.hierarchical.HACAM.Variant

variationOfInformation - Variable in class elki.evaluation.clustering.Entropy

Variation of information (computed directly)

variationOfInformation() - Method in class elki.evaluation.clustering.Entropy

Get the variation of information (not normalized, small values are good).

varstat - Variable in class elki.clustering.kmeans.AbstractKMeans.Par

Compute the final variance statistic (not used by all).

varstat - Variable in class elki.clustering.kmeans.HamerlyKMeans

Flag whether to compute the final variance statistic.

varstat - Variable in class elki.clustering.kmeans.SimplifiedElkanKMeans

Flag whether to compute the final variance statistic.

varstat - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans

Flag whether to compute the final variance statistic.

varstat - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans

Flag whether to compute the final variance statistic.

varstat - Variable in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans

Flag whether to compute the final variance statistic.

varstat - Variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans

Flag whether to compute the final variance statistic.

varstat - Variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans

Flag whether to compute the final variance statistic.

VARSTAT_ID - Static variable in interface elki.clustering.kmeans.KMeans

Flag to compute the final clustering variance statistic (for methods that employ bounds to avoid computing all distances).

varsum - Variable in class elki.clustering.kmeans.AbstractKMeans.Instance

Sum of squared deviations in each cluster.

varsum - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor.Instance

Variance sum.

varsum - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor

Variance sum.

varsum - Variable in class elki.data.model.KMeansModel

Variance sum.

vibound - Variable in class elki.evaluation.clustering.Entropy

log(n), for bounding VI

VIIFeature - Class in elki.index.tree.betula.features

Clustering Feature of stable BIRCH with a single variance per cluster feature

VIIFeature(int) - Constructor for class elki.index.tree.betula.features.VIIFeature

Constructor.

VIIFeature.Factory - Class in elki.index.tree.betula.features

Factory for making cluster features.

VIIFeature.Factory.Par - Class in elki.index.tree.betula.features

Parameterization class.

visit(double, int, int, boolean, boolean) - Method in interface elki.clustering.biclustering.ChengAndChurch.CellVisitor

Visit a cell.

visitAll(double[][], int, ChengAndChurch.CellVisitor) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Visit all selected cells in the data matrix.

visitColumn(double[][], int, int, ChengAndChurch.CellVisitor) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Visit a column of the matrix.

visitRow(double[][], int, int, ChengAndChurch.CellVisitor) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Visit a row of the data matrix.

visualizeSingleton() - Method in class elki.evaluation.clustering.EvaluateClustering.ScoreResult

VVIFeature - Class in elki.index.tree.betula.features

Clustering Feature of stable BIRCH with variance per dimension

VVIFeature(int) - Constructor for class elki.index.tree.betula.features.VVIFeature

Constructor.

VVIFeature.Factory - Class in elki.index.tree.betula.features

Factory for making cluster features.

VVIFeature.Factory.Par - Class in elki.index.tree.betula.features

Parameterization class.

VVVFeature - Class in elki.index.tree.betula.features

Clustering Feature of stable BIRCH with covariance instead of variance

VVVFeature(int) - Constructor for class elki.index.tree.betula.features.VVVFeature

Constructor.

VVVFeature.Factory - Class in elki.index.tree.betula.features

Factory for making cluster features.

VVVFeature.Factory.Par - Class in elki.index.tree.betula.features

Parameterization class.

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