sskm: 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.

Version: 1.0.0
Imports: sparcl, fpc
Published: 2017-03-03
Author: Abraham Apfel
Maintainer: Abraham Apfel <aba44 at>
License: GPL-2
NeedsCompilation: no
CRAN checks: sskm results


Reference manual: sskm.pdf
Package source: sskm_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: sskm_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: sskm_1.0.0.tgz


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