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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.
Package details |
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Author | Abraham Apfel |
Maintainer | Abraham Apfel <aba44@pitt.edu> |
License | GPL-2 |
Version | 1.0.0 |
Package repository | View on CRAN |
Installation |
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