A nonnegative projection based algorithm for low-rank nonnegative matrix approximation

Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich

Research output: Book chapter/Published conference paperConference paperpeer-review

1 Citation (Scopus)

Abstract

Nonnegative matrix factorization/approximation (NMF/NMA) is a widely used method for data analysis. So far, many multiplicative update algorithms have been developed for NMF. In this paper, we propose a nonnegative projection based NMF algorithm, which is different from the conventional multiplicative update NMF algorithms and decreases the objective function by performing Procrustes rotation and nonnegative projection alternately. The experiment results demonstrate that the new algorithm converges much faster than traditional ones.
Original languageEnglish
Title of host publicationNeural Information Processing - 24th International Conference, ICONIP 2017, Proceedings
EditorsDerong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy
PublisherSpringer-Verlag London Ltd.
Pages240-247
Number of pages8
ISBN (Print)9783319700861
DOIs
Publication statusPublished - 24 Oct 2017
Event24th International Conference on Neural Information Processing: ICONIP 2017 - Ramada Pearl Hotel, Guangzhou, China
Duration: 14 Nov 201718 Nov 2017
http://www.conference123.org/iconip2017/index.html (Conference website)
https://link.springer.com/book/10.1007/978-3-319-70087-8#about (Conference proceedings)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10634 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Neural Information Processing
Country/TerritoryChina
CityGuangzhou
Period14/11/1718/11/17
OtherThe 24th International Conference on Neural Information Processing will be held in Guangzhou, China, November 14–18, 2017. It is an annual event, organized since 1994 by the Asia Pacific Neural Network Society (APNNS, previously APNNA).
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