NMFN-package: Non-negative Matrix Factorization - Overview
In NMFN: Non-Negative Matrix Factorization

NMFN-package

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

NMFN documentation built on June 23, 2022, 9:11 a.m.