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K-평균 클러스터링 및 주성분 분석을 활용한 뉴스 앱 이용자 유형 분류

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dc.contributor.authorLee, Do-Gil-
dc.date.accessioned2022-09-17T05:40:40Z-
dc.date.available2022-09-17T05:40:40Z-
dc.date.created2022-09-17-
dc.date.issued2022-06-29-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/143696-
dc.publisher한국정보과학회-
dc.titleK-평균 클러스터링 및 주성분 분석을 활용한 뉴스 앱 이용자 유형 분류-
dc.title.alternativeClassification of News App User Types Using K-Means Clustering and Principal Component Analysis-
dc.typeConference-
dc.contributor.affiliatedAuthorLee, Do-Gil-
dc.identifier.bibliographicCitation2022 한국컴퓨터종합학술대회-
dc.relation.isPartOf2022 한국컴퓨터종합학술대회-
dc.relation.isPartOf2022 한국컴퓨터종합학술대회 논문집-
dc.citation.title2022 한국컴퓨터종합학술대회-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlace제주(ICC제주)-
dc.citation.conferenceDate2022-06-29-
dc.type.rimsCONF-
dc.description.journalClass2-
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