An efficient preprocessing stage for the relationship-based clustering framework

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dc.contributor.authorBilgin, Turgay Tugay
dc.contributor.authorCamurcu, Ali Yilmaz
dc.date.accessioned2024-07-12T21:49:45Z
dc.date.available2024-07-12T21:49:45Z
dc.date.issued2010en_US
dc.departmentMaltepe Üniversitesien_US
dc.description.abstractThe goal of this study was to develop an efficient clustering framework for processing high-dimensional datasets with reasonable memory and computing power requirements. Strehl and Ghosh proposed a novel clustering approach and developed a framework which is called "relationship-based clustering framework" [1]. In this study, a preprocessing system has been implemented on top of their approach and it has been integrated into the relationship-based clustering framework. Three different benchmark datasets were used to evaluate its efficiency. The results are presented in various tables and charts, and in addition CLUSION graphs are plotted to enable visual evaluation of cluster quality. It is demonstrated that CPU and memory usage has been substantially decreased compared with Strehl and Ghosh's framework 1, without any noticeable decrease in clustering quality. This fact enables the use of the relationship-based clustering framework for much larger datasets than was heretofore possible, and also increases its scalability with respect to number of dimensions.en_US
dc.description.sponsorshipMarmara University [FEN-DKR-270306-0055]en_US
dc.description.sponsorshipThe research for this article was supported by grant number FEN-DKR-270306-0055 from Marmara University Scientific Research Projects Committee (BAPKO).en_US
dc.identifier.doi10.3233/IDA-2010-0449
dc.identifier.endpage748en_US
dc.identifier.issn1088-467X
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-78650350251en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage731en_US
dc.identifier.urihttps://dx.doi.org/10.3233/IDA-2010-0449
dc.identifier.urihttps://hdl.handle.net/20.500.12415/8073
dc.identifier.volume14en_US
dc.identifier.wosWOS:000284213700008en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherIOS PRESSen_US
dc.relation.ispartofINTELLIGENT DATA ANALYSISen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY01267
dc.subjectData miningen_US
dc.subjectclusteringen_US
dc.subjecthigh dimensional dataen_US
dc.subjectstratified samplingen_US
dc.titleAn efficient preprocessing stage for the relationship-based clustering frameworken_US
dc.typeArticle
dspace.entity.typePublication

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