Some additional results on principal components analysis of three-mode data by means of alternating least squares algorithms

Author:

ten Berge Jos M. F.,de Leeuw Jan,Kroonenberg Pieter M.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Psychology

Reference13 articles.

1. 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.

2. Eckart, C. & Young, G. (1936). The approximation of one matrix by another of lower rank.Psychometrika, 1, 211–218.

3. Working Papers in Phonetics;R. A. Harshman,1970

4. Harshman, R. A., & Lundy, M. E. (1984a). The PARAFAC model for three-way factor analysis and multidimensional scaling. In H. G. Law, C. W. Snyder, J. A. Hattie & R. P. McDonald (Eds.),Research methods for multimode data analysis (pp. 122–215). New-York: Praeger.

5. Harshman, R. A., & Lundy, M. E. (1984b). Data preprocessing and the extended PARAFAC model. In H. G. Law, C. W. Snyder, J. A. Hattie & R. P. McDonald (Eds.),Research methods for multimode data analysis (pp. 216–284). New York: Praeger.

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