Hostname: page-component-74656f9884-8r8nv Total loading time: 0 Render date: 2026-11-10T23:16:19.266Z Has data issue: false hasContentIssue false

A Weighted Procrustes Criterion

Published online by Cambridge University Press:  01 January 2025

Martin A. Koschat
Affiliation:
Yale School of Organization and Management
Deborah F. Swayne*
Affiliation:
Bellcore
*
Requests for reprints and code should be sent to Deborah F. Swayne, Bellcore, 445 South Street, Room 2L-331, Box 1910, Morristown, NJ, 07960-1910, or by electronic mail to dfs@bellcore.com (Internet) or ... !dfs!bellcore (uucp).

Abstract

The Procrustes criterion is a common measure for the distance between two matrices X and Y, and can be interpreted as the sum of squares of the Euclidean distances between their respective column vectors. Often a weighted Procrustes criterion, using, for example, a weighted sum of the squared distances between the column vectors, is called for. This paper describes and analyzes the performance of an algorithm for rotating a matrix X such that the column-weighted Procrustes distance to Y is minimized. The problem of rotating X into Y such that an aggregate measure of Tucker's coefficient of congruence is maximized is also discussed.

Information

Type
Original Paper
Copyright
Copyright © 1991 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.)

Article purchase

Temporarily unavailable