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The out-of-sample problem for classical multidimensional scaling

Out-of-sample embedding techniques insert additional points into previously constructed configurations. An out-of-sample extension of classical multidimensional scaling is presented. The out-of-sample extension is formulated as an unconstrained nonlinear least-squares problem. The objective function is a fourth-order polynomial, easily minimized by standard gradient-based methods for numerical optimization. Two examples are presented.
Year of publication:
2008
Authors: Trosset, Michael W. ; Priebe, Carey E.
Published in:
Computational Statistics & Data Analysis. - Elsevier, ISSN 0167-9473. - Vol. 52.2008, 10, p. 4635-4642
Publisher: Elsevier
Type of publication: Article
Source:
Persistent link: https://www.econbiz.de/10005130995
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