Non-negative Matrix Factorization: A Survey

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dc.citation.issue7
dc.citation.volume64
dc.contributor.authorGan J
dc.contributor.authorLiu T
dc.contributor.authorLi L
dc.contributor.authorZhang J
dc.date.accessioned2023-11-20T01:37:37Z
dc.date.available2021-07
dc.date.available2023-11-20T01:37:37Z
dc.date.issued2021-07-01
dc.descriptionCAUL read and publish agreement 2022
dc.description.abstractNon-negative matrix factorization (NMF) is a powerful tool for data science researchers, and it has been successfully applied to data mining and machine learning community, due to its advantages such as simple form, good interpretability and less storage space. In this paper, we give a detailed survey on existing NMF methods, including a comprehensive analysis of their design principles, characteristics and drawbacks. In addition, we also discuss various variants of NMF methods and analyse properties and applications of these variants. Finally, we evaluate the performance of nine NMF methods through numerical experiments, and the results show that NMF methods perform well in clustering tasks.
dc.description.publication-statusPublished
dc.format.extent1080 - 1092
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000715882400009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifier.citationCOMPUTER JOURNAL, 2021, 64 (7), pp. 1080 - 1092
dc.identifier.doi10.1093/comjnl/bxab103
dc.identifier.eissn1460-2067
dc.identifier.elements-id449894
dc.identifier.harvestedMassey_Dark
dc.identifier.issn0010-4620
dc.identifier.urihttps://hdl.handle.net/10179/17426
dc.publisherOxford University Press on behalf of the British Computer Society
dc.relation.isPartOfCOMPUTER JOURNAL
dc.subjectnon-negative matrix factorization
dc.subjectdata mining
dc.subjectdimensionality reduction
dc.subjectclustering
dc.subject.anzsrc08 Information and Computing Sciences
dc.titleNon-negative Matrix Factorization: A Survey
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Mathematical and Computational Sciences
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