A new hybrid whale optimization algorithm and golden jackal optimization for data clustering

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dc.contributor.authorGharehchopogh, F.S.
dc.contributor.authorMirjalili, S.
dc.contributor.authorIşık, G.
dc.contributor.authorArasteh, B.
dc.date.accessioned2024-05-19T14:33:47Z
dc.date.available2024-05-19T14:33:47Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractData clustering is an unsupervised learning method essential in many different sciences. The main goal of clustering is to find the similarity between samples of a data set to form optimal clusters. The K-Means algorithm is one of the most basic models for data clustering. It strongly depends on the initial search points and leads to local solutions. This book chapter proposes a hybrid model based on Whale Optimization Algorithm (WOA) and Golden Jackal Optimization (GJO) algorithm for the data clustering problem. The GJO algorithm is inspired by the hunting behavior of golden jackals and maintains a good balance between exploration and exploitation. Therefore, the GJO algorithm aims to improve WOA solutions and avoid local optimality. In the proposed model, WOA and GJO mechanisms are used to discover the centers of clusters. The evaluation is performed on eight known datasets from the UCI site. According to the findings, the proposed model performs better than traditional clustering methods in terms of accuracy and eliminates mistakes in the vast majority of the datasets. © 2024 Elsevier Inc. All rights reserved.en_US
dc.identifier.doi10.1016/B978-0-32-395365-8.00044-0
dc.identifier.endpage546en_US
dc.identifier.isbn9780323953658
dc.identifier.isbn9780323953641
dc.identifier.scopus2-s2.0-85189583122en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage533en_US
dc.identifier.urihttps://doi.org/10.1016/B978-0-32-395365-8.00044-0
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4336
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofHandbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applicationsen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectData Clusteringen_US
dc.subjectGolden Jackal Optimizationen_US
dc.subjectHybriden_US
dc.subjectWhale Optimization Algorithmen_US
dc.titleA new hybrid whale optimization algorithm and golden jackal optimization for data clusteringen_US
dc.typeBook Chapteren_US

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