Uses of Class
elki.clustering.kmeans.KDTreePruningKMeans.Split

Packages that use KDTreePruningKMeans.Split

Package	Description
elki.clustering.kmeans	K-means clustering and variations.

Uses of KDTreePruningKMeans.Split in elki.clustering.kmeans

Fields in elki.clustering.kmeans declared as KDTreePruningKMeans.Split

Modifier and Type	Field	Description
protected KDTreePruningKMeans.Split	KDTreePruningKMeans.Par.split	Splitting strategy.
protected KDTreePruningKMeans.Split	KDTreePruningKMeans.split	Splitting strategy.

Methods in elki.clustering.kmeans that return KDTreePruningKMeans.Split

Modifier and Type	Method	Description
static KDTreePruningKMeans.Split	KDTreePruningKMeans.Split.valueOf(java.lang.String name)	Returns the enum constant of this type with the specified name.
static KDTreePruningKMeans.Split[]	KDTreePruningKMeans.Split.values()	Returns an array containing the constants of this enum type, in the order they are declared.

Constructors in elki.clustering.kmeans with parameters of type KDTreePruningKMeans.Split

Constructor	Description
KDTreeFilteringKMeans(NumberVectorDistance<? super V> distance, int k, int maxiter, KMeansInitialization initializer, KDTreePruningKMeans.Split split, int leafsize)	Constructor.
KDTreePruningKMeans(NumberVectorDistance<? super V> distance, int k, int maxiter, KMeansInitialization initializer, KDTreePruningKMeans.Split split, int leafsize)	Constructor.