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 <firstname.lastname@example.org>, Jiayang Sun <email@example.com>|
|Maintainer||Yifan Ethan Xu <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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