@Title("Spherical k-means")

Package elki.clustering.kmeans.spherical

Spherical k-means clustering and variations.

Class Summary

Class	Description
EuclideanSphericalElkanKMeans<V extends NumberVector>	Elkan's fast k-means 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 k-Means algorithm based on Hamerly's fast k-means 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 k-Means algorithm based on Hamerly's fast k-means 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 k-means 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 k-Means algorithm based on Hamerly's fast k-means 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 k-means algorithm.
SphericalKMeans.Instance	Instance for a particular data set.
SphericalKMeans.Par<V extends NumberVector>	Parameterization class.
SphericalSimplifiedElkanKMeans<V extends NumberVector>	A spherical k-Means algorithm based on Hamerly's fast k-means 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 k-Means algorithm based on Hamerly's fast k-means 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>	Pseudo-k-Means variations, that assigns each object to the nearest center.
SphericalSingleAssignmentKMeans.Instance	Instance for a particular data set.
SphericalSingleAssignmentKMeans.Par<V extends NumberVector>	Parameterization class.