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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=rNMF
to link to this page.