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K-MEDOIDS AND FUZZY C-MEANS ALGORITHMS FOR CLUSTERING CO2 EMISSIONS OF TURKEY AND OTHER OECD COUNTRIES

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dc.contributor.authorÖzdemir, ónal
dc.contributor.authorAslı Kaya
dc.contributor.orcid0000-0001-9453-5556
dc.date.accessioned2025-11-13T11:25:00Z
dc.date.issued2018-01-01
dc.identifier.doihttps://doi.org/10.15666/aeer/1603_25132526
dc.identifier.endpage2526
dc.identifier.issn1589-1623
dc.identifier.issue3
dc.identifier.openalexW2886666524
dc.identifier.startpage2513
dc.identifier.urihttps://hdl.handle.net/11421/6719
dc.identifier.urihttp://doi.org/10.15666/aeer/1603_25132526
dc.identifier.volume16
dc.language.isoen
dc.relation.ispartofApplied Ecology and Environmental Research
dc.rightsopenAccess
dc.subjectMedoid
dc.subjectCluster analysis
dc.subjectFuzzy logic
dc.subjectk-medoids
dc.subjectFuzzy clustering
dc.subjectAlgorithm
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectCURE data clustering algorithm
dc.titleK-MEDOIDS AND FUZZY C-MEANS ALGORITHMS FOR CLUSTERING CO2 EMISSIONS OF TURKEY AND OTHER OECD COUNTRIES
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5108664007

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