Adachi, Kohei - In: Computational Statistics 28 (2013) 6, pp. 2449-2464
In this paper, we propose a generalized version of Adachi’s (Psychometrika 74:667–683, <CitationRef CitationID="CR1">2009</CitationRef>) Joint Procrustes Analysis (GJPA), in order to transform the principal component score and loading matrices obtained for multiple data sets of the same size. The transformation is made so that...</citationref>
