relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1471/
title: Novel Algorithm for Nonnegative Matrix Factorization
creator: Tran, Dang Hien
creator: Do, Van Tuan
creator: Pham, Van At
creator: Le, Hung Son
subject: Information Technology (IT)
subject: ISI-indexed journals
description: 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.
publisher: World Scientific
date: 2015
type: Article
type: PeerReviewed
identifier:   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     
relation: http://www.worldscientific.com/doi/abs/10.1142/S1793005715400013