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Comparison of K-means and Fuzzy C-means clustering algorithms on water quality parameters: Case study of ergene basin for 17 stations

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dc.contributor.authorARSLAN, GÜLAY
dc.contributor.authorsArslan Çene G., Parim C., Çene E.
dc.date.accessioned2023-06-06T07:34:54Z
dc.date.accessioned2026-01-10T19:48:04Z
dc.date.available2023-06-06T07:34:54Z
dc.date.issued2023-06-01
dc.identifier.citationArslan Çene G., Parim C., Çene E., Comparison of K-means and Fuzzy C-means Clustering Algorithms on Water Quality Parameters: Case Study of Ergene Basin for 17 Stations, "Current Debates on Natural and Engineering Sciences 9", Hikmet Y. Çoğun,İshak Parlar,Hasan Üzmuş, Editör, Bilgin Kültür Sanat Yayınları, Ankara, ss.145-159, 2023
dc.identifier.endpage159
dc.identifier.startpage145
dc.identifier.urihttps://hdl.handle.net/11424/289985
dc.language.isoeng
dc.publisherBilgin Kültür Sanat Yayınları
dc.relation.ispartofCurrent Debates on Natural and Engineering Sciences 9
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMühendislik ve Teknoloji
dc.subjectEngineering and Technology
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectEngineering, Computing & Technology (ENG)
dc.titleComparison of K-means and Fuzzy C-means clustering algorithms on water quality parameters: Case study of ergene basin for 17 stations
dc.typebookPart
dspace.entity.typePublication

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