eprintid: 1471
rev_number: 7
eprint_status: archive
userid: 4
dir: disk0/00/00/14/71
datestamp: 2016-01-06 07:31:16
lastmod: 2016-03-28 06:01:24
status_changed: 2016-01-06 07:31:16
type: article
metadata_visibility: show
creators_name: Tran, Dang Hien
creators_name: Do, Van Tuan
creators_name: Pham, Van At
creators_name: Le, Hung Son
title: Novel Algorithm for Nonnegative Matrix Factorization
ispublished: pub
subjects: IT
subjects: isi
divisions: fac_fit
abstract: Non-negative matrix factorization (NMF) is an emerging technique with a wide spectrum of potential applications in data analysis. Mathematically, NMF can be formulated as a minimization problem with non-negative constraints. This problem attracts much attention from researchers for theoretical reasons and for potential applications. Currently, the most popular approach to solve NMF is the multiplicative update algorithm proposed by Lee and Seung. In this paper, we propose an additive update algorithm that has a faster computational speed than Lee and Seung's multiplicative update algorithm.
date: 2015
date_type: published
publisher: World Scientific
official_url: http://www.worldscientific.com/doi/abs/10.1142/S1793005715400013
full_text_status: none
publication: Journal of New Mathematics and Natural Computation
volume: 11
number: 2
pagerange: 121-133
refereed: TRUE
issn: 1793-7027
citation:   Tran, Dang Hien and Do, Van Tuan and Pham, Van At and Le, Hung Son  (2015) Novel Algorithm for Nonnegative Matrix Factorization.  Journal of New Mathematics and Natural Computation, 11  (2).   pp. 121-133.  ISSN 1793-7027