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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 1998.6
- 수록면
- 63 - 70 (8page)
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The singular value decomposition is a tool which is used to find a linear structure of reduced dimension and to give interpretation of the lower dimensional structure about multivariate data. In this paper the singular value decomposition is reviewed from both algebraic and geometric point of view and, is illustrated the way which the tool is used in the multivariate techniques finding a simpler geometric structure for the data.
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UCI(KEPA) : I410-ECN-0101-2018-041-001398789