Uses of Class
elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization

Packages that use AbstractCFKMeansInitialization

Package	Description
elki.clustering.em.models
elki.clustering.kmeans	K-means clustering and variations.
elki.clustering.kmeans.initialization.betula	Initialization methods for BIRCH-based k-means and EM clustering.

Uses of AbstractCFKMeansInitialization in elki.clustering.em.models

Fields in elki.clustering.em.models declared as AbstractCFKMeansInitialization

Modifier and Type	Field	Description
protected AbstractCFKMeansInitialization	BetulaDiagonalGaussianModelFactory.initializer	Class to choose the initial means
protected AbstractCFKMeansInitialization	BetulaDiagonalGaussianModelFactory.Par.initializer	Initialization method
protected AbstractCFKMeansInitialization	BetulaMultivariateGaussianModelFactory.initializer	Class to choose the initial means
protected AbstractCFKMeansInitialization	BetulaMultivariateGaussianModelFactory.Par.initializer	Initialization method
protected AbstractCFKMeansInitialization	BetulaSphericalGaussianModelFactory.initializer	Class to choose the initial means
protected AbstractCFKMeansInitialization	BetulaSphericalGaussianModelFactory.Par.initializer	Initialization method

Constructors in elki.clustering.em.models with parameters of type AbstractCFKMeansInitialization

Constructor	Description
BetulaDiagonalGaussianModelFactory(AbstractCFKMeansInitialization initializer)	Constructor.
BetulaMultivariateGaussianModelFactory(AbstractCFKMeansInitialization initializer)	Constructor.
BetulaSphericalGaussianModelFactory(AbstractCFKMeansInitialization initializer)	Constructor.

Uses of AbstractCFKMeansInitialization in elki.clustering.kmeans

Fields in elki.clustering.kmeans declared as AbstractCFKMeansInitialization

Modifier and Type	Field	Description
(package private) AbstractCFKMeansInitialization	BetulaLloydKMeans.initialization	k-means++ initialization
(package private) AbstractCFKMeansInitialization	BetulaLloydKMeans.Par.initialization	initialization method

Constructors in elki.clustering.kmeans with parameters of type AbstractCFKMeansInitialization

Constructor	Description
BetulaLloydKMeans(int k, int maxiter, CFTree.Factory<?> cffactory, AbstractCFKMeansInitialization initialization, boolean storeIds, boolean ignoreWeight)	Constructor.

Uses of AbstractCFKMeansInitialization in elki.clustering.kmeans.initialization.betula

Subclasses of AbstractCFKMeansInitialization in elki.clustering.kmeans.initialization.betula

Modifier and Type	Class	Description
class	CFKPlusPlusLeaves	K-Means++-like initialization for BETULA k-means, treating the leaf clustering features as a flat list, and called "leaves" in the publication.
class	CFKPlusPlusTree	Initialize K-means by following tree paths weighted by their variance contribution.
class	CFKPlusPlusTrunk	Trunk strategy for initializing k-means with BETULA: only the nodes up to a particular level are considered for k-means++ style initialization.
class	CFRandomlyChosen	Initialize K-means by randomly choosing k existing elements as initial cluster centers for Clustering Features.
class	CFWeightedRandomlyChosen	Initialize K-means by randomly choosing k existing elements as initial cluster centers for Clustering Features.