g-BSAFCM : A New Hybrid Clustering Algorithm
| dc.contributor.author | Toz, Güliz | |
| dc.contributor.author | Erdoğmuş, Pakize | |
| dc.date.accessioned | 2020-05-01T12:10:09Z | |
| dc.date.available | 2020-05-01T12:10:09Z | |
| dc.date.issued | 2016 | |
| dc.department | DÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
| dc.description | 24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY | en_US |
| dc.description | WOS: 000391250900014 | en_US |
| dc.description.abstract | Clustering is dividing a dataset into subsets that has similar characteristics. In this study, fuzzy c-means clustering algorithm (FCM) and a new evolutionary optimization algorithm, Backtracking Search (BSA) algorithm, were combined and a new hybrid clustering algorithm (BSAFCM) was proposed. Moreover, the local search abilities of the new algorithm was improved and the new algorithm was named as g-BSAFCM. Three benchmark datasets from UCI Machine Learning Repository database were clustered by using the developed algorithms and FCM. According to the results g-BSAFCM has achieved better results than FCM and BSAFCM. | en_US |
| dc.description.sponsorship | IEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Engn | en_US |
| dc.identifier.endpage | 148 | en_US |
| dc.identifier.isbn | 978-1-5090-1679-2 | |
| dc.identifier.startpage | 145 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12684/6044 | |
| 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 | 2016 24Th Signal Processing And Communication Application Conference (Siu) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | clustering | en_US |
| dc.subject | BSA | en_US |
| dc.subject | FCM | en_US |
| dc.subject | key words | en_US |
| dc.title | g-BSAFCM : A New Hybrid Clustering Algorithm | en_US |
| dc.type | Conference Object | en_US |
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