Uses of Interface
elki.clustering.kmeans.initialization.betula.CFInitWeight
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Packages that use CFInitWeight Package Description elki.clustering.kmeans.initialization.betula Initialization methods for BIRCH-based k-means and EM clustering. -
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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 meansprotected CFInitWeight
CFKPlusPlusLeaves. distance
Distance functionConstructors 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.
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