한국데이터정보과학회:학술대회논문집
- 한국데이터정보과학회 2005년도 추계학술대회
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- Pages.47-48
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- 2005
Resistant Multidimensional Scaling
초록
Multidimensional scaling is a multivariate technique for constructing a configuration of n points in Euclidean space using information about the distances between the objects. This can be done by the singular value decomposition of the data matrix. But it is known that the singular value decomposition is not resistant. In this study, we provide a resistant version of the multidimensional scaling.