Regional Spatial Analysis Combining Fuzzy Clustering and Non-parametric Correlation

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dc.authoridKaymak, Uzay/0000-0002-4500-9098
dc.authoridTutmez, Bulent/0000-0002-2618-3285
dc.authorwosidKaymak, Uzay/A-3364-2008
dc.authorwosidTutmez, Bulent/ABG-8630-2020
dc.contributor.authorTutmez, Bulent
dc.contributor.authorKaymak, Uzay
dc.date.accessioned2024-08-04T20:36:15Z
dc.date.available2024-08-04T20:36:15Z
dc.date.issued2013
dc.departmentİnönü Üniversitesien_US
dc.description6th International Conference on Soft Methods in Probability and Statistics -- OCT 04-06, 2012 -- Konstanz, GERMANYen_US
dc.description.abstractIn this study, regional analysis based on a limited number of data, which is an important real problem in some disciplines such as geosciences and environmental science, was considered for evaluating spatial data. A combination of fuzzy clustering and non-parametrical statistical analysis is made. In this direction, the partitioning performance of a fuzzy clustering on different types of spatial systems was examined. In this way, a regional projection approach has been constructed. The results show that the combination produces reliable results and also presents possibilities for future works.en_US
dc.description.sponsorshipCajAstur Bank,Univ Konstanz,Univ Magdeburg,German Soc Comp Sci,European Soc Fuzzy Log & Technolen_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-3-642-33041-4
dc.identifier.issn2194-5357
dc.identifier.issn2194-5365
dc.identifier.scopus2-s2.0-84870752715en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage219en_US
dc.identifier.urihttps://hdl.handle.net/11616/95881
dc.identifier.volume190en_US
dc.identifier.wosWOS:000312969600024en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.ispartofSynergies of Soft Computing and Statistics For Intelligent Data Analysisen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy clusteringen_US
dc.subjectrank correlationen_US
dc.subjectspatial dataen_US
dc.titleRegional Spatial Analysis Combining Fuzzy Clustering and Non-parametric Correlationen_US
dc.typeConference Objecten_US

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