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Robust Multidimensional Scaling

Published online by Cambridge University Press:  01 January 2025

Ian Spence  and
Stephan Lewandowsky
Ian Spence*
Affiliation:
University of Toronto
Stephan Lewandowsky
Affiliation:
University of Toronto
*
Requests for reprints should be sent to the first author at the Department of Psychology, University of Toronto, Toronto, Ontario, CANADA M5S 1A1.
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Abstract

A method for multidimensional scaling that is highly resistant to the effects of outliers is described. To illustrate the efficacy of the procedure, some Monte Carlo simulation results are presented. The method is shown to perform well when outliers are present, even in relatively large numbers, and also to perform comparably to other approaches when no outliers are present.

Keywords

multidimensional scalingrobust estimationoutliers

Information

Type
Original Paper
Information
Psychometrika , Volume 54 , Issue 3 , September 1989 , pp. 501 - 513
Copyright
Copyright © 1989 The Psychometric Society

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Footnotes

This research was supported by Grant A8351 from the Natural Sciences and Engineering Research Council of Canada to Ian Spence.

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