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dc.contributor.authorNazari, Mousa
dc.contributor.authorShanbehzadeh, Jamshid
dc.contributor.authorSarrafzadeh, Hossein
dc.date.accessioned2015-04-12T23:50:12Z
dc.date.available2015-04-12T23:50:12Z
dc.date.issued2013
dc.identifier.isbn9789881925183
dc.identifier.issn2078-0958
dc.identifier.issn2078-0966
dc.identifier.urihttps://hdl.handle.net/10652/2731
dc.description.abstractFuzzy C-means (FCM) is a powerful clustering algorithm and has been introduced to overcome the crisp definition of similarity and clusters. FCM ignores the importance of features in the clustering process. This affects its authenticity and accuracy. We can overcome this problem by appropriately assigning weights to features according to their clustering importance. This paper, proposes an improved FCM algorithm based on the method proposed by Huang by automated feature weighting. The simulation results on several UCI databases show that the proposed algorithm exhibits better performance than FCM.en_NZ
dc.language.isoenen_NZ
dc.publisherNewswood Ltd.en_NZ
dc.relation.urihttp://www.iaeng.org/IMECS2013/en_NZ
dc.subjectFuzzy Clusteringen_NZ
dc.subjectFuzzy C-meansen_NZ
dc.subjectFeature Weightingen_NZ
dc.subjectWeighted Fuzzy C-meansen_NZ
dc.titleFuzzy C-means based on automated variable feature weightingen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.rights.holderNewswood Ltd.en_NZ
dc.subject.marsden080106 Image Processingen_NZ
dc.identifier.bibliographicCitationNazari, M., Shanbehzadeh, J., and Sarrafzadeh, A. (2013). Fuzzy C-means based on automated variable feature weighting. Proceedings of the International MultiConference of Engineers and Computer Scientists, 2013(Ed.), Hong Kong,1. 25-29.en_NZ
unitec.institutionKharazmi University, Tehran, Iranen_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.publication.spage25en_NZ
unitec.publication.lpage29en_NZ
unitec.publication.volume1en_NZ
unitec.publication.titleProceedings of the International MultiConference of Engineers and Computer Scientists 2013 (IMECS) 2013en_NZ
unitec.conference.titleProceedings of the International MultiConference of Engineers and Computer Scientistsen_NZ
unitec.conference.orgInternational Association of Engineers (IAENG)en_NZ
unitec.conference.locationHong Kongen_NZ
unitec.conference.sdate2013-03-13
unitec.conference.edate2013-03-15
unitec.peerreviewedyesen_NZ
unitec.identifier.roms54960en_NZ


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