Hostname: page-component-745bb68f8f-g4j75 Total loading time: 0 Render date: 2025-01-07T18:55:56.220Z Has data issue: false hasContentIssue false

Sufficient Conditions for Uniqueness in Candecomp/Parafac and Indscal with Random Component Matrices

Published online by Cambridge University Press:  01 January 2025

Alwin Stegeman*
Affiliation:
University of Groningen
Jos M. F. ten Berge
Affiliation:
University of Groningen
Lieven De Lathauwer
Affiliation:
ETIS, UMR 8051, Cergy-Pontoise
*
Requests for reprints should be sent to Alwin Stegeman, Heijmans Institute of Psychological Research, University of Groningen, Grote Kruisstraat 2/1, 9712 TS Groningen, The Netherlands. E-mail: a.w.stegeman@rug.nl

Abstract

A key feature of the analysis of three-way arrays by Candecomp/Parafac is the essential uniqueness of the trilinear decomposition. We examine the uniqueness of the Candecomp/Parafac and Indscal decompositions. In the latter, the array to be decomposed has symmetric slices. We consider the case where two component matrices are randomly sampled from a continuous distribution, and the third component matrix has full column rank. In this context, we obtain almost sure sufficient uniqueness conditions for the Candecomp/Parafac and Indscal models separately, involving only the order of the three-way array and the number of components in the decomposition. Both uniqueness conditions are closer to necessity than the classical uniqueness condition by Kruskal.

Type
Original Paper
Copyright
Copyright © 2006 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Part of this research was supported by (1) the Flemish Government: (a) Research Council K.U. Leuven: GOA-MEFISTO-666, GOA-Ambiorics, (b) F.W.O. project G.0240.99, (c) F.W.O. Research Communities ICCoS and ANMMM, (d) Tournesol project T2004.13; and (2) the Belgian Federal Science Policy Office: IUAP P5/22. Lieven De Lathauwer holds a permanent research position with the French Centre National de la Recherche Scientifique (C.N.R.S.). He also holds an honorary research position with the K.U. Leuven, Leuven, Belgium.

References

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, 283319.CrossRefGoogle Scholar
Fisher, F.M. (1966). The identification problem in econometrics. New York: McGraw-Hill.Google Scholar
Harshman, R.A. (1970). Foundations of the Parafac procedure: Models and conditions for an “explanatory” multimodal factor analysis. UCLA Working Papers in Phonetics, 16, 184.Google Scholar
Harshman, R.A. (1972). Determination and proof of minimum uniqueness conditions for Parafac–1. UCLA Working Papers in Phonetics, 22, 111117.Google Scholar
Jiang, T., & Sidiropoulos, N.D. (2004). Kruskal's permutation lemma and the identification of Candecomp/Parafac and bilinear models with constant modulus constraints. IEEE Transactions on Signal Processing, 52, 26252636.CrossRefGoogle Scholar
Kruskal, J.B. (1977). Three-way arrays: Rank and uniqueness of trilinear decompositions, with applications to arithmetic complexity and statistics. Linear Algebra and its Applications, 18, 95138.CrossRefGoogle Scholar
Kruskal, J.B., Harshman, R.A., & Lundy, M.E. (1989). How 3-MFA data can cause degenerate Parafac solutions, among other relationships. In Coppi, R., Bolasco, S. (Eds.), Multiway data analysis (pp. 115121). Amsterdam: North-Holland.Google Scholar
De Lathauwer, L. (2006). A link between the canonical decomposition in multilinear algebra and simultaneous matrix diagonalization. SIAM Journal of Matrix Analysis and Application, to appear.CrossRefGoogle Scholar
Leurgans, S.E., Ross, R.T., & Abel, R.B. (1993). A decomposition for three-way arrays. SIAM Journal on Matrix Analysis and Applications, 14, 10641083.CrossRefGoogle Scholar
Sidiropoulos, N.D., & Bro, R. (2000). On the uniqueness of multilinear decomposition of n-way arrays. Journal of Chemometrics, 14, 229239.3.0.CO;2-N>CrossRefGoogle Scholar
Stegeman, A., & Ten Berge, J.M.F. (2006). Kruskal's condition for uniqueness in Candecomp/Parafac when ranks and k-ranks coincide. Computational Statistics and Data Analysis, 50, 210220.CrossRefGoogle Scholar
Ten Berge, J.M.F., & Sidiropoulos, N.D. (2002). On uniqueness in Candecomp/Parafac. Psychometrika, 67, 399409.CrossRefGoogle Scholar
Ten Berge, J.M.F., Sidiropoulos, N.D., & Rocci, R. (2004). Typical rank and Indscal dimensionality for symmetric three-way arrays of order I×2×2 or I×3××3. Linear Algebra and Applications, 388, 363377.CrossRefGoogle Scholar