An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets

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dc.contributor.authorMat, Ayse Nagehan
dc.contributor.authorInan, Onur
dc.contributor.authorKarakoyun, Murat
dc.date.accessioned2024-02-23T14:26:08Z
dc.date.available2024-02-23T14:26:08Z
dc.date.issued2021
dc.departmentNEÜen_US
dc.description.abstractClustering, which is handled by many researchers, is separating data into clusters without supervision. In clustering, the data are grouped using similarities or differences between them. Many traditional and heuristic algorithms are used in clustering problems and new techniques continue to be developed today. In this study, a new and effective clustering algorithm was developed by using the Whale Optimization Algorithm (WOA) and Levy flight (LF) strategy that imitates the hunting behavior of whales. With the developed WOA-LF algorithm, clustering was performed using ten medical datasets taken from the UCI Machine Learning Repository database. The clustering performance of the WOA-LF was compared with the performance of k-means, k-medoids, fuzzy c-means and the original WOA clustering algorithms. Application results showed that WOA-LF has more successful clustering performance in general and can be used as an alternative algorithm in clustering problems.en_US
dc.identifier.doi10.11121/ijocta.01.2021.001091
dc.identifier.endpage226en_US
dc.identifier.issn2146-0957
dc.identifier.issn2146-5703
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage216en_US
dc.identifier.urihttps://doi.org/10.11121/ijocta.01.2021.001091
dc.identifier.urihttps://hdl.handle.net/20.500.12452/14057
dc.identifier.volume11en_US
dc.identifier.wosWOS:000884973200010en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherRamazan Yamanen_US
dc.relation.ispartofInternational Journal Of Optimization And Control-Theories & Applications-Ijoctaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectClusteringen_US
dc.subjectWhale Optimization Algorithmen_US
dc.subjectLevy Flighten_US
dc.subjectK-Meansen_US
dc.subjectK-Medoidsen_US
dc.subjectFuzzy C-Meansen_US
dc.titleAn application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasetsen_US
dc.typeArticleen_US

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