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.
|Author||Yifan Ethan Xu <email@example.com>, Jiayang Sun <firstname.lastname@example.org>|
|Date of publication||2015-02-11 07:47:35|
|Maintainer||Yifan Ethan Xu <email@example.com>|
|License||GPL (>= 2)|
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