bignmf-package: Solving NMF via coordinate descent
In panlanfeng/bignmf: Solving NMF via coordinate descent
Description
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.
Details
Package: bignmf
Type: Package
Version: 1.0
Date: 2012-05-24
License: GPL
Author(s)
Lanfeng Pan, Yixuan Qiu and Taiyun Wei
Maintainer: Lanfeng Pan <panlanfeng@gmail.com>
panlanfeng/bignmf documentation built on May 24, 2019, 6:14 p.m.
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Description
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.
Details
| Package: | bignmf |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2012-05-24 |
| License: | GPL |
Author(s)
Lanfeng Pan, Yixuan Qiu and Taiyun Wei Maintainer: Lanfeng Pan <panlanfeng@gmail.com>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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