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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.
Getting started
Browse package contents
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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