An Approach for Determining the Number of Clusters in a Model-Based Cluster Analysis

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dc.contributor.authorAkogul, Serkan
dc.contributor.authorErisoglu, Murat
dc.date.accessioned2024-02-23T14:35:07Z
dc.date.available2024-02-23T14:35:07Z
dc.date.issued2017
dc.departmentNEÜen_US
dc.description.abstractTo determine the number of clusters in the clustering analysis that has a broad range of applied sciences, such as physics, chemistry, biology, engineering, economics etc., many methods have been proposed in the literature. The aim of this paper is to determine the number of clusters of a dataset in a model-based clustering by using an Analytic Hierarchy Process (AHP). In this study, the AHP model has been created by using the information criteria Akaike's Information Criterion (AIC), Approximate Weight of Evidence (AWE), Bayesian Information Criterion (BIC), Classification Likelihood Criterion (CLC), and Kullback Information Criterion (KIC). The achievement of the proposed approach has been tested on common real and synthetic datasets. The proposed approach based on the corresponding information criteria has produced accurate results. The currently produced results have been seen to be more accurate than those corresponding to the information criteria.en_US
dc.description.sponsorshipTUBITAK-BIDEB [2211]en_US
dc.description.sponsorshipThis research has been supported by TUBITAK-BIDEB (2211) Ph.D. scholarship program. The author is grateful to anonymous referees for their constructive comments and valuable suggestions to improve this paper. The authors wish to thank Murat SARI (Yildiz Technical University, Istanbul) for reading the manuscript and providing many useful suggestions.en_US
dc.identifier.doi10.3390/e19090452
dc.identifier.issn1099-4300
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85029178823en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.3390/e19090452
dc.identifier.urihttps://hdl.handle.net/20.500.12452/15891
dc.identifier.volume19en_US
dc.identifier.wosWOS:000411527100024en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpi Agen_US
dc.relation.ispartofEntropyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectModel-Based Clusteringen_US
dc.subjectCluster Analysisen_US
dc.subjectInformation Criteriaen_US
dc.subjectAnalytic Hierarchy Processen_US
dc.titleAn Approach for Determining the Number of Clusters in a Model-Based Cluster Analysisen_US
dc.typeArticleen_US

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