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 <[email protected]>, Jiayang Sun <[email protected]>
MaintainerYifan Ethan Xu <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the rNMF package in your browser

Any scripts or data that you put into this service are public.

rNMF documentation built on May 30, 2017, 3:26 a.m.