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.
Package details |
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Author | Lanfeng Pan, Yixuan Qiu and Taiyun Wei |
Maintainer | Lanfeng Pan, Yixuan Qiu and Taiyun Wei <panlanfeng@gmail.com> |
License | GPL (>= 2) |
Version | 0.1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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