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