Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6400
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ozyer, Tansel | - |
dc.contributor.author | Alhajj, Reda | - |
dc.date.accessioned | 2021-09-11T15:36:16Z | - |
dc.date.available | 2021-09-11T15:36:16Z | - |
dc.date.issued | 2006 | en_US |
dc.identifier.citation | 7th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science -- AUG 29-31, 2006 -- Genoa, ITALY | en_US |
dc.identifier.isbn | 981-256-690-2 | - |
dc.identifier.uri | https://doi.org/10.1142/9789812774118_0030 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6400 | - |
dc.description.abstract | In this study, we present a clustering approach that automatically determines the number of clusters before starting the actual clustering process. This is achieved by first running a multi-objective genetic algorithm on a sample of the given dataset to find the set of alternative solutions for a given range. Then, we apply cluster validity indexes to find the most appropriate number of clusters. Finally, we run CURE to do the actual clustering by feeding the determined number of clusters as input. The reported test results demonstrate the applicability and effectiveness of the proposed approach. | en_US |
dc.language.iso | en | en_US |
dc.publisher | World Scientific Publ Co Pte Ltd | en_US |
dc.relation.ispartof | Applied Artificial Intelligence | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | [No Keywords] | en_US |
dc.title | Combining Validity Indexes and Multi-Objective Optimization Based Clustering | en_US |
dc.type | Conference Object | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.startpage | 193 | en_US |
dc.identifier.endpage | + | en_US |
dc.identifier.wos | WOS:000239525200030 | en_US |
dc.identifier.scopus | 2-s2.0-84862591800 | en_US |
dc.institutionauthor | Özyer, Tansel | - |
dc.identifier.doi | 10.1142/9789812774118_0030 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | 7th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.1. Department of Artificial Intelligence Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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