sskm (1.0.0)

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Stable Sparse K-Means.

Achieve feature selection via taking subsamples of data and then running sparse k-means on each of the subsamples. Only maintain features that received positive weights a high proportion of times. Run standard k-means to cluster the data based on subset of features selected.

Maintainer: Abraham Apfel
Author(s): Abraham Apfel

License: GPL-2

Uses: fpc, sparcl

Released about 2 years ago.



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