Multidimensional scaling techniques map a set of objects into geometric space, usually Euclidean. As the solutions are not unique, and linear transformations are admissible operations, two solutions for a given set of objects are not comparable owing to differences of the coordinate systems. A Transformation of coordinates to obtain a least squares fit of two configurations is derived for the two-dimensional case.
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