Data Clustering Based on FCM and WOA

dc.contributor.authorArslan, Hatice
dc.contributor.authorToz, Metin
dc.date.accessioned2020-05-01T09:11:17Z
dc.date.available2020-05-01T09:11:17Z
dc.date.issued2018
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEYen_US
dc.descriptionWOS: 000511448500023en_US
dc.description.abstractIn this article, we have proposed a new hybrid clustering algorithm based on Fuzzy C Means (FCM) and Whale Optimization Algorithm (WOA) using chaotic map. The random selection of the initial cluster centers in the FCM algorithm is a disadvantage for the algorithm. To reduce this disadvantage, the BOA algorithm, which is improved performance with chaotic maps, is used to optimize the initial cluster centers. The proposed hybrid algorithm is tested for four different sets of data and better results are obtained from the FCM algorithm.en_US
dc.description.sponsorshipIEEE, Huawei, Aselsan, NETAS, IEEE Turkey Sect, IEEE Signal Proc Soc, IEEE Commun Soc, ViSRATEK, Adresgezgini, Rohde & Schwarz, Integrated Syst & Syst Design, Atilim Univ, Havelsan, Izmir Katip Celebi Univen_US
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.12684/5458
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 26Th Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFCMen_US
dc.subjectWOAen_US
dc.subjectData Clusteringen_US
dc.titleData Clustering Based on FCM and WOAen_US
dc.typeConference Objecten_US

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