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 <email@example.com>|
|Package repository||View on CRAN|
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