General Procrustes analysis is concerned with transforming a set of given configuration matrices to closest agreement. This paper introduces an approach useful for handling missing values in the configuration matrices in the context of general linear transformations. Centring and/or standardisation are allowed. Simplifications occur in the important case where the transformations are orthogonal. In the most general case, an interesting quadratic constrained optimisation problem appears. © 2010 The Author(s).
CITATION STYLE
Albers, C. J., & Gower, J. C. (2010). A general approach to handling missing values in Procrustes analysis. Advances in Data Analysis and Classification, 4(4), 223–237. https://doi.org/10.1007/s11634-010-0077-0
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