Fitting One Matrix to Another Under Choice of a Central Dilation and a Rigid Motion

作者：Peter H. Schönemann, Robert M. Carroll · 发表于：Psychometrika · 年份：1970 · DOI：10.1007/bf02291266 · 被引用次数：403 · 研究领域：Spectroscopy and Chemometric Analyses、Neural Networks and Applications、Sensory Analysis and Statistical Methods

A least squares method is presented for fitting a given matrix A to another given matrix B under choice of an unknown rotation, an unknown translation, and an unknown central dilation. The procedure may be useful to investigators who wish to compare results obtained with nonmetric scaling techniques across samples or who wish to compare such results with those obtained by conventional factor analytic techniques on the same sample.