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Comparison of biplots methods through classical principal component analysis and robust principal component analysis : 전통적인 주성분 분석과 로버스트 주성분 분석을 통한 바이 플로트 방법의 비교
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 박성현 | - |
| dc.contributor.author | 정윤영 | - |
| dc.date.accessioned | 2009-12-15T01:23:08Z | - |
| dc.date.available | 2009-12-15T01:23:08Z | - |
| dc.date.copyright | 2009. | - |
| dc.date.issued | 2009 | - |
| dc.identifier.uri | http://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000036601 | eng |
| dc.identifier.uri | https://hdl.handle.net/10371/20714 | - |
| dc.description | Thesis(masters) --서울대학교 대학원 :통계학과, 2009.2. | en |
| dc.format.extent | 45 leaves | en |
| dc.language.iso | en | - |
| dc.publisher | 서울대학교 대학원 | en |
| dc.subject | 바이플로트 | en |
| dc.subject | Biplot | en |
| dc.subject | 특이값 분해 | en |
| dc.subject | Singular Value Decomposition | en |
| dc.subject | 주성분 분석 | en |
| dc.subject | Principal Component Analysis(PCA) | en |
| dc.subject | 이상치 | en |
| dc.subject | Outlier | en |
| dc.subject | Minimum Volume Ellipsoid(MVE) | en |
| dc.subject | Robust Estimation | en |
| dc.subject | Minimum Covariance Determinant(MCD) | en |
| dc.subject | Minimum Volume Ellipsoid(MVE) | en |
| dc.subject | Minimum Covariance Determinant(MCD) | en |
| dc.subject | Fast Algorithm for the MVE and the MCD | en |
| dc.title | Comparison of biplots methods through classical principal component analysis and robust principal component analysis | en |
| dc.title.alternative | 전통적인 주성분 분석과 로버스트 주성분 분석을 통한 바이 플로트 방법의 비교 | en |
| dc.type | Thesis | - |
| dc.contributor.department | 통계학과 | - |
| dc.description.degree | Master | en |
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