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Robust principal component analysis via ES-algorithm
ES-알고리즘을 이용한 로버스트 주성분 분석

DC Field Value Language
dc.contributor.advisor오희석-
dc.contributor.author박연주-
dc.date.accessioned2019-07-10T06:01:58Z-
dc.date.available2019-07-10T06:01:58Z-
dc.date.issued2011-02-
dc.identifier.other000000029541-
dc.identifier.urihttps://hdl.handle.net/10371/160001-
dc.identifier.urihttp://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000029541ko_KR
dc.description학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2011.2. 오희석.-
dc.format.extent35 leaves-
dc.language.isoeng-
dc.publisher서울대학교 대학원-
dc.subject주성분 분석-
dc.subject고차원 자료-
dc.subject로버스트 방법-
dc.subjectES-알고리즘-
dc.subjectPrincipal component analysis-
dc.subjectHigh-dimensional data-
dc.subjectRobustness-
dc.subjectPseudo data-
dc.subjectES-algorithm-
dc.titleRobust principal component analysis via ES-algorithm-
dc.title.alternativeES-알고리즘을 이용한 로버스트 주성분 분석-
dc.typeThesis-
dc.typeDissertation-
dc.description.degreeMaster-
dc.contributor.affiliation통계학과-
dc.date.awarded2011-02-
Appears in Collections:
College of Natural Sciences (자연과학대학)Dept. of Statistics (통계학과)Theses (Master's Degree_통계학과)
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