panlanfeng/bignmf: Solving NMF via coordinate descent

The bignmf package solves the nonnegative matrix factorization via alternating least square. It treats nonnegative constrained regression as a special L1 regression and solves it via coordinate descent method which is quite fast. The core code is implemented in C++ using RcppEigen.

Getting started

Package details

AuthorLanfeng Pan, Yixuan Qiu and Taiyun Wei
MaintainerLanfeng Pan, Yixuan Qiu and Taiyun Wei <panlanfeng@gmail.com>
LicenseGPL (>= 2)
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("panlanfeng/bignmf")
panlanfeng/bignmf documentation built on May 24, 2019, 6:14 p.m.