NNLM: Fast and Versatile Non-Negative Matrix Factorization

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]
MaintainerXihui Lin <ericxihuilin@outlook.com>
LicenseBSD_2_clause + file LICENSE
URL https://github.com/linxihui/NNLM
Package repositoryView on CRAN
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NNLM documentation built on July 3, 2019, 1:03 a.m.