@Title("Spherical kmeans")
Package elki.clustering.kmeans.spherical
Spherical kmeans clustering and variations.

Class Summary Class Description EuclideanSphericalElkanKMeans<V extends NumberVector> Elkan's fast kmeans by exploiting the triangle inequality in the corresponding Euclidean space.EuclideanSphericalElkanKMeans.Instance Inner instance, storing state for a single data set.EuclideanSphericalElkanKMeans.Par<V extends NumberVector> Parameterization class.EuclideanSphericalHamerlyKMeans<V extends NumberVector> A spherical kMeans algorithm based on Hamerly's fast kmeans by exploiting the triangle inequality in the corresponding Euclidean space.EuclideanSphericalHamerlyKMeans.Instance Inner instance, storing state for a single data set.EuclideanSphericalHamerlyKMeans.Par<V extends NumberVector> Parameterization class.EuclideanSphericalSimplifiedElkanKMeans<V extends NumberVector> A spherical kMeans algorithm based on Hamerly's fast kmeans by exploiting the triangle inequality in the corresponding Euclidean space.EuclideanSphericalSimplifiedElkanKMeans.Instance Inner instance, storing state for a single data set.EuclideanSphericalSimplifiedElkanKMeans.Par<V extends NumberVector> Parameterization class.SphericalElkanKMeans<V extends NumberVector> Elkan's fast kmeans by exploiting the triangle inequality.SphericalElkanKMeans.Instance Inner instance, storing state for a single data set.SphericalElkanKMeans.Par<V extends NumberVector> Parameterization class.SphericalHamerlyKMeans<V extends NumberVector> A spherical kMeans algorithm based on Hamerly's fast kmeans by exploiting the triangle inequality.SphericalHamerlyKMeans.Instance Inner instance, storing state for a single data set.SphericalHamerlyKMeans.Par<V extends NumberVector> Parameterization class.SphericalKMeans<V extends NumberVector> The standard spherical kmeans algorithm.SphericalKMeans.Instance Instance for a particular data set.SphericalKMeans.Par<V extends NumberVector> Parameterization class.SphericalSimplifiedElkanKMeans<V extends NumberVector> A spherical kMeans algorithm based on Hamerly's fast kmeans by exploiting the triangle inequality.SphericalSimplifiedElkanKMeans.Instance Inner instance, storing state for a single data set.SphericalSimplifiedElkanKMeans.Par<V extends NumberVector> Parameterization class.SphericalSimplifiedHamerlyKMeans<V extends NumberVector> A spherical kMeans algorithm based on Hamerly's fast kmeans by exploiting the triangle inequality.SphericalSimplifiedHamerlyKMeans.Instance Inner instance, storing state for a single data set.SphericalSimplifiedHamerlyKMeans.Par<V extends NumberVector> Parameterization class.SphericalSingleAssignmentKMeans<V extends NumberVector> PseudokMeans variations, that assigns each object to the nearest center.SphericalSingleAssignmentKMeans.Instance Instance for a particular data set.SphericalSingleAssignmentKMeans.Par<V extends NumberVector> Parameterization class.