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.


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install.packages("rNMF")

0.5.0 by Yifan Ethan Xu, 5 years ago


Browse source code at https://github.com/cran/rNMF


Authors: Yifan Ethan Xu <[email protected]> , Jiayang Sun <[email protected]>


Documentation:   PDF Manual  


GPL (>= 2) license


Imports nnls, knitr


See at CRAN