rNMF: Robust Nonnegative Matrix Factorization

An implementation of robust nonnegative matrix factorization (rNMF). The rNMF algorithm decomposes a nonnegative high dimension data matrix into the product of two low rank nonnegative matrices, while detecting and trimming outliers. The main function is rnmf(). The package also includes a visualization tool, see(), that arranges and prints vectorized images.

Version: 0.5.0
Depends: R (≥ 2.14.0)
Imports: nnls, knitr
Published: 2015-02-11
Author: Yifan Ethan Xu, Jiayang Sun
Maintainer: Yifan Ethan Xu <ethan.yifanxu at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: rNMF results


Reference manual: rNMF.pdf
Vignettes: rNMF
Package source: rNMF_0.5.0.tar.gz
Windows binaries: r-devel: rNMF_0.5.0.zip, r-release: rNMF_0.5.0.zip, r-oldrel: rNMF_0.5.0.zip
OS X El Capitan binaries: r-release: rNMF_0.5.0.tgz
OS X Mavericks binaries: r-oldrel: rNMF_0.5.0.tgz


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