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.


Reference manual

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0.5.0 by Yifan Ethan Xu, 4 years ago

Browse source code at

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

Documentation:   PDF Manual  

GPL (>= 2) license

Imports nnls, knitr

See at CRAN