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.

Install the latest version of this package by entering the following in R:
install.packages("rNMF")
AuthorYifan Ethan Xu <ethan.yifanxu@gmail.com>, Jiayang Sun <jsun@case.edu>
Date of publication2015-02-11 07:47:35
MaintainerYifan Ethan Xu <ethan.yifanxu@gmail.com>
LicenseGPL (>= 2)
Version0.5.0

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