Hostname: page-component-745bb68f8f-g4j75 Total loading time: 0 Render date: 2025-01-08T12:05:45.810Z Has data issue: false hasContentIssue false

A Solution to the Weighted Procrustes Problem in which the Transformation is in Agreement with the Loss Function

Published online by Cambridge University Press:  01 January 2025

Robert W. Lissitz*
Affiliation:
University of Georgia
Peter H. Schönemann
Affiliation:
Purdue University
James C. Lingoes
Affiliation:
University of Michigan
*
Requests for reprints should be sent to Robert W. Lissitz, Department of Psychology, University of Georgia, Athens, Georgia 30602.

Abstract

This paper provides a generalization of the Procrustes problem in which the errors are weighted from the right, or the left, or both. The solution is achieved by having the orthogonality constraint on the transformation be in agreement with the norm of the least squares criterion. This general principle is discussed and illustrated by the mathematics of the weighted orthogonal Procrustes problem.

Type
Original Paper
Copyright
Copyright © 1976 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Reference Notes

Schönemann, P. H. On the formal differentiation of traces and determinants, 1965, Chapel Hill: University of North Carolina Psychometric Laboratory.Google Scholar
Schönemann, P. H., Bock, R. D., and Tucker, L. R. Some notes on a theorem by Eckart and Young, 1965, Chapel Hill: University of North Carolina Psychometric Laboratory.Google Scholar

References

Eckart, C. and Young, G. The approximation of one matrix by another of lower rank. Psychometrika, 1936, 1, 211218.CrossRefGoogle Scholar
Green, B. F. The orthogonal approximation of an oblique simple structure in factor analysis. Psychometrika, 1952, 17, 429440.CrossRefGoogle Scholar
Kristof, W. Die beste orthogonale transformation zur gegenseitigen Überfuhrung zweier Factorenmatrizen. Diagnostica, 1964, 10, 8790.Google Scholar
Lingoes, J. C. The Guttman-Lingoes nonmetric program series, 1973, Ann Arbor, Michigan: Mathesis Press.Google Scholar
Lingoes, J. C. and Schöneman, P. H. Alternative measures of fit for the Schönemann-Carroll matrix fitting algorithm. Psychometrika, 1974, 39, 423427.CrossRefGoogle Scholar
Lingoes, J. C. A neighborhood preserving transformation for fitting configurations. In Lingoes, J. C., Guttman, L., and Roskam, E. (Eds.), Geometric representations of relational data: With social science applications. Ann Arbor, Michigan: Mathesis Press, in press.Google Scholar
Schönemann, P. H. A generalized solution of the orthogonal Procrustes problem. Psychometrika, 1966, 31, 110.CrossRefGoogle Scholar
Schönemann, P. H. and Carroll, R. M. Fitting one matrix to another under choice of a central dilation and a rigid motion. Psychometrika, 1970, 35, 245255.CrossRefGoogle Scholar