Uses of Class
jsat.clustering.kmeans.KMeans

Packages that use KMeans

Package	Description
jsat.clustering.kmeans

Uses of KMeans in jsat.clustering.kmeans

Subclasses of KMeans in jsat.clustering.kmeans

Modifier and Type	Class and Description
class	ElkanKMeans An efficient implementation of the K-Means algorithm.
class	GMeans This class provides a method of performing KMeans clustering when the value of K is not known.
class	HamerlyKMeans An efficient implementation of the K-Means algorithm.
class	KMeansPDN This class provides a method of performing KMeans clustering when the value of K is not known.
class	NaiveKMeans An implementation of Lloyd's K-Means clustering algorithm using the naive algorithm.
class	XMeans This class provides a method of performing KMeans clustering when the value of K is not known.

Methods in jsat.clustering.kmeans that return KMeans

Modifier and Type	Method and Description
abstract KMeans	KMeans.clone()

Constructors in jsat.clustering.kmeans with parameters of type KMeans

Constructor and Description
GMeans(KMeans kmeans)
KMeans(KMeans toCopy) Copy constructor
KMeansPDN(KMeans kmeans) Creates a new clustered that uses the specified object to perform clustering for all k.
XMeans(KMeans kmeans)