Uses of Class
elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization
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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. -
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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 meansprotected AbstractCFKMeansInitialization
BetulaDiagonalGaussianModelFactory.Par. initializer
Initialization methodprotected AbstractCFKMeansInitialization
BetulaMultivariateGaussianModelFactory. initializer
Class to choose the initial meansprotected AbstractCFKMeansInitialization
BetulaMultivariateGaussianModelFactory.Par. initializer
Initialization methodprotected AbstractCFKMeansInitialization
BetulaSphericalGaussianModelFactory. initializer
Class to choose the initial meansprotected AbstractCFKMeansInitialization
BetulaSphericalGaussianModelFactory.Par. initializer
Initialization methodConstructors 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 methodConstructors 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.
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