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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.
Package details |
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Author | Yifan Ethan Xu <ethan.yifanxu@gmail.com>, Jiayang Sun <jsun@case.edu> |
Maintainer | Yifan Ethan Xu <ethan.yifanxu@gmail.com> |
License | GPL (>= 2) |
Version | 0.5.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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