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 |
| macOS binaries: | r-release: rNMF_0.5.0.tgz, r-oldrel: rNMF_0.5.0.tgz |
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