NMFN-package {NMFN} | R Documentation |
Non-negative Matrix Factorization - Overview
Description
Non-negative Matrix Factorization
Details
Package: | NMFN |
Type: | Package |
Version: | 2.0 |
Date: | 2010-01-02 |
License: | GPL |
LazyLoad: | yes |
Author(s)
Suhai (Timothy) Liu <tim.liu@alumni.duke.edu> based on multiplicative updates (Lee and Seung 2001), alternating least squares and multinomial algorithms; Lars Kai Hansen's nnmf_als Matlab implementation; Torsten Hothorn's Moore-Penrose inverse function
References
Lee and Seung - Algorithms for non-negative matrix factorization. In Advances in Neural Information Processing Systems 13, 2001.
Examples
X <- matrix(1:12,3,4)
z.mm <- nnmf(X,3) # 3 factors via multiplicative update
z.als <- nnmf(X,3,'nnmf_als') # 3 factors via alternating least square
z.prob <- nnmf(X,3,'nnmf_prob') # 3 factors via multinomial
[Package NMFN version 2.0.1 Index]