nmfgpu4R: Non-Negative Matrix Factorization (NMF) using CUDA
Version 0.2.5.2

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
Version0.2.5.2
URL https://github.com/razorx89/nmfgpu4R
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("nmfgpu4R")

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