Uses of Interface
elki.clustering.kmeans.initialization.betula.CFInitWeight

Packages that use CFInitWeight

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

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

Classes in elki.clustering.kmeans.initialization.betula that implement CFInitWeight

Modifier and Type	Class	Description
class	InterclusterWeight	Initialization via n2 * D2²(cf1, cf2), which supposedly is closes to the idea of k-means++ initialization.
class	SquaredEuclideanWeight	Use the squared Euclidean distance only for distance measurement.
class	VarianceWeight	Variance-based weighting scheme for k-means clustering with BETULA.

Fields in elki.clustering.kmeans.initialization.betula declared as CFInitWeight

Modifier and Type	Field	Description
(package private) CFInitWeight	CFKPlusPlusLeaves.Par.dist	Distance function to use for initial means
(package private) CFInitWeight	CFKPlusPlusTree.dist	Distance function to use for initial means
(package private) CFInitWeight	CFKPlusPlusTree.Par.dist	Distance function to use for initial means
protected CFInitWeight	CFKPlusPlusLeaves.distance	Distance function

Constructors in elki.clustering.kmeans.initialization.betula with parameters of type CFInitWeight

Constructor	Description
CFKPlusPlusLeaves(CFInitWeight dist, boolean firstUniform, RandomFactory rf)	Constructor.
CFKPlusPlusTree(CFInitWeight dist, boolean firstUniform, int maxdepth, RandomFactory rf)	Constructor.
CFKPlusPlusTrunk(CFInitWeight dist, boolean firstUniform, RandomFactory rf)	Constructor.