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An Application of Fuzzy Coding in Multiple Correspondence Analysis for Transforming Data from Continuous to Categorical

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dc.contributor.authorŞentürk, Sevil
dc.contributor.authorSevil Şentürk
dc.contributor.orcid0000-0002-9503-7388
dc.date.accessioned2025-11-13T22:20:38Z
dc.date.issued2012-01-01
dc.identifier.openalexW2403900567
dc.identifier.urihttps://hdl.handle.net/11421/13869
dc.identifier.urihttps://dblp.uni-trier.de/db/journals/mvl/mvl18.html#AsanS12
dc.language.isoen
dc.rightsrestrictedAccess
dc.subjectCategorical variable
dc.subjectComputer science
dc.subjectCoding (social sciences)
dc.subjectFuzzy logic
dc.subjectData mining
dc.subjectArtificial intelligence
dc.subjectMathematics
dc.subjectStatistics
dc.subjectMachine learning
dc.titleAn Application of Fuzzy Coding in Multiple Correspondence Analysis for Transforming Data from Continuous to Categorical
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5026245080

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