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Some clarifications of the CANDECOMP algorithm applied to INDSCAL. (English) Zbl 0850.62463

MSC:
62H25 Factor analysis and principal components; correspondence analysis
62H99 Multivariate analysis
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[1] Carroll, J. D., & Chang, J. J. (1970) Analysis of individual differences in multidimensional scaling via an n-way generalization of ”Eckart-Young” decomposition.Psychometrika, 35, 283–319. · Zbl 0202.19101 · doi:10.1007/BF02310791
[2] Carroll, J. D., & Pruzansky, S. (1984) The CANDECOMP-CANDELINC family of models and methods for multidimensional data analysis. In H. G. Law, C. W. Snyder, J. A. Hattie, & R. P. McDonald (Eds.),Research methods for multimode data analysis (pp. 372–402). New York: Praeger.
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[8] ten Berge, J. M. F., Kiers, H. A. L., & de Leeuw, J. (1988) Explicit CANDECOMP/PARAFAC solutions for a contrived 2 \(\times\) 2 \(\times\) 2 array of rank three.Psychometrika, 53, 579–584. · Zbl 0718.62138 · doi:10.1007/BF02294409
[9] ten Berge, J. M. F., Knol, D. L., & Kiers, H. A. L. (1988). A treatment of the orthomax rotation family in terms of diagonalization, and a re-examination of a singular value approach to varimax rotation.Computational Statistics Quarterly, 3, 207–217. · Zbl 0726.62090
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