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nmfgpu4R (version 0.2.5.2)

Non-Negative Matrix Factorization (NMF) using CUDA

Description

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.

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Install

install.packages('nmfgpu4R')

Monthly Downloads

4

Version

0.2.5.2

License

GPL-3 | file LICENSE

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Maintainer

Sven Koitka

Last Published

October 17th, 2016