NNLM: Fast and Versatile Non-Negative Matrix Factorization
Version 0.4.1

This is a package for Non-Negative Linear Models (NNLM). It implements fast sequential coordinate descent algorithms for non-negative linear regression and non-negative matrix factorization (NMF). It supports mean square error and Kullback-Leibler divergence loss. Many other features are also implemented, including missing value imputation, domain knowledge integration, designable W and H matrices and multiple forms of regularizations.

Package details

AuthorXihui Lin [aut, cre], Paul C Boutros [aut]
Date of publication2016-01-03 22:50:42
MaintainerXihui Lin <xihuil.silence@gmail.com>
LicenseBSD_2_clause + file LICENSE
URL https://github.com/linxihui/NNLM
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the NNLM package in your browser

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

NNLM documentation built on May 29, 2017, 9:20 p.m.