Simultaneous Component Analysis by Means of Tucker3
Author:
Funder
Onderzoeksraad, KU Leuven
Federaal Wetenschapsbeleid
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Psychology
Link
http://link.springer.com/article/10.1007/s11336-017-9568-7/fulltext.html
Reference49 articles.
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2. Carroll, J. D., & Chang, J. J. (1970). Analysis of individual differences in multidimensional scaling via an $$n$$ n -way generalization of Eckart-Young decomposition. Psychometrika, 35, 283–319.
3. Ceulemans, E., & Kiers, H. A. L. (2006). Selecting among three-mode principal component models of different types and complexities: a numerical convex hull based method. British Journal of Mathematical and Statistical Psychology, 59, 133–150.
4. Ceulemans, E., Timmerman, M. E., & Kiers, H. A. L. (2011). The CHull procedure for selecting among multilevel component solutions. Chemometrics and Intelligent Laboratory Systems, 106, 12–20.
5. Comon, P., & De Lathauwer, L. (2010). Algebraic identification of under-determined mixtures. In P. Comon & C. Jutten (Eds.), Handbook of blind source separation: Independent component analysis and applications (pp. 325–366). Cambridge: Academic Press.
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