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Model-Based Clustering and Classification for Data Science: With Applications in R

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dc.contributor.authorShin, Seung Jun-
dc.date.accessioned2021-08-31T04:33:58Z-
dc.date.available2021-08-31T04:33:58Z-
dc.date.created2021-06-18-
dc.date.issued2020-04-02-
dc.identifier.issn0003-1305-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/56668-
dc.languageEnglish-
dc.language.isoen-
dc.publisherAMER STATISTICAL ASSOC-
dc.titleModel-Based Clustering and Classification for Data Science: With Applications in R-
dc.typeArticle-
dc.contributor.affiliatedAuthorShin, Seung Jun-
dc.identifier.wosid000530956200013-
dc.identifier.bibliographicCitationAMERICAN STATISTICIAN, v.74, no.2, pp.208 - 209-
dc.relation.isPartOfAMERICAN STATISTICIAN-
dc.citation.titleAMERICAN STATISTICIAN-
dc.citation.volume74-
dc.citation.number2-
dc.citation.startPage208-
dc.citation.endPage209-
dc.type.rimsART-
dc.type.docTypeBook Review-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
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