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.

Package details

AuthorYifan Ethan Xu <ethan.yifanxu@gmail.com>, Jiayang Sun <jsun@case.edu>
MaintainerYifan Ethan Xu <ethan.yifanxu@gmail.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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rNMF documentation built on May 2, 2019, 12:22 p.m.