Uses of Package
elki.clustering.kmeans.spherical

Packages that use elki.clustering.kmeans.spherical

Package	Description
elki.clustering.kmeans.spherical	Spherical k-means clustering and variations.

Classes in elki.clustering.kmeans.spherical used by elki.clustering.kmeans.spherical

Class	Description
EuclideanSphericalElkanKMeans	Elkan's fast k-means by exploiting the triangle inequality in the corresponding Euclidean space.
EuclideanSphericalHamerlyKMeans	A spherical k-Means algorithm based on Hamerly's fast k-means by exploiting the triangle inequality in the corresponding Euclidean space.
EuclideanSphericalSimplifiedElkanKMeans	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	Parameterization class.
SphericalElkanKMeans	Elkan's fast k-means by exploiting the triangle inequality.
SphericalHamerlyKMeans	A spherical k-Means algorithm based on Hamerly's fast k-means by exploiting the triangle inequality.
SphericalKMeans	The standard spherical k-means algorithm.
SphericalKMeans.Instance	Instance for a particular data set.
SphericalKMeans.Par	Parameterization class.
SphericalSimplifiedElkanKMeans	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	Parameterization class.
SphericalSimplifiedHamerlyKMeans	A spherical k-Means algorithm based on Hamerly's fast k-means by exploiting the triangle inequality.
SphericalSingleAssignmentKMeans	Pseudo-k-Means variations, that assigns each object to the nearest center.