nmfgpu4R: Non-Negative Matrix Factorization (NMF) using CUDA

Wrapper package for the nmfgpu library, which implements several Non-negative Matrix Factorization (NMF) algorithms for CUDA platforms. By using the acceleration of GPGPU computing, the NMF can be used for real-world problems inside the R environment. All CUDA devices starting with Kepler architecture are supported by the library.

Getting started

Package details

AuthorSven Koitka [aut, cre, cph], Christoph M. Friedrich [ctb]
Date of publication2016-10-17 12:41:21
MaintainerSven Koitka <sven.koitka@fh-dortmund.de>
LicenseGPL-3 | file LICENSE
URL https://github.com/razorx89/nmfgpu4R
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the nmfgpu4R package in your browser

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

nmfgpu4R documentation built on May 30, 2017, 6:25 a.m.