Hybrid FCM-WOA Data Clustering Algorithm
dc.contributor.author | Arslan, Hatice | |
dc.contributor.author | Toz, Metin | |
dc.date.accessioned | 2020-05-01T12:10:25Z | |
dc.date.available | 2020-05-01T12:10:25Z | |
dc.date.issued | 2018 | |
dc.department | DÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.description | 26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY | en_US |
dc.description | WOS: 000511448500024 | en_US |
dc.description.abstract | In this work, we propose a hybrid clustering algorithm that integrates Fuzzy C-Means (FCM) and Whale Optimization Algorithm (WOA) using the Chebshev distance function. The FCM algorithm uses Euclidean distance to measure the similarity between the data. To avoid the existing disadvantages of the Euclidean distance, all distances in the FCM algorithm is calculated with the Chebsyhev distance function. The BOA algorithm is used to optimize the initial cluster centers. The proposed hybrid algorithm is tested with three different sets of data selected from UCI Machine Learning Repository database. As a result, it is seen that the clustering performance of the proposed algorithm is much better than the FCM algorithm. | en_US |
dc.description.sponsorship | IEEE, 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 Univ | en_US |
dc.identifier.isbn | 978-1-5386-1501-0 | |
dc.identifier.issn | 2165-0608 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12684/6190 | |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.language.iso | tr | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2018 26Th Signal Processing And Communications Applications Conference (Siu) | en_US |
dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | FCM | en_US |
dc.subject | WOA | en_US |
dc.subject | Chebsyhev | en_US |
dc.subject | distance function | en_US |
dc.subject | data clustering | en_US |
dc.title | Hybrid FCM-WOA Data Clustering Algorithm | en_US |
dc.type | Conference Object | en_US |