Non-negative matrix factorization: A short survey on methods and applications

Zhengyu Huang, Aimin Zhou, Guixu Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

Non-negative matrix factorization (NMF) has been shown to be useful for a variety of practical applications. To meet the requirements of various applications, some extensions of NMF have been proposed as well. This paper presents a short survey on some recent developments of NMF on both the algorithms and applications. Some potential improvements of NMF are also suggested for future study.

Original languageEnglish
Title of host publicationComputational Intelligence and Intelligent Systems - 6th International Symposium, ISICA 2012, Proceedings
Pages331-340
Number of pages10
DOIs
StatePublished - 2012
Event6th International Symposium on Intelligence Computation and Applications, ISICA 2012 - Wuhan, China
Duration: 27 Oct 201228 Oct 2012

Publication series

NameCommunications in Computer and Information Science
Volume316 CCIS
ISSN (Print)1865-0929

Conference

Conference6th International Symposium on Intelligence Computation and Applications, ISICA 2012
Country/TerritoryChina
CityWuhan
Period27/10/1228/10/12

Keywords

  • Dimensional Reduction
  • Non-negative Matrix Factorization

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