Some uniqueness results for PARAFAC2

Psychometrika

Volumn 61, Issue 1, 1996, Pages 123-132

  Ten Berge, Jos M F ^a   Kiers, Henk A L ^b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b NONE

Author keywords

Stationary component analysis; Three way analysis

Indexed keywords

EID: 0030489676     PISSN: 00333123     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02296962     Document Type: Article

References (10)

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3. Harshman, R. A. (1972a). PARAFAC2: Mathematical and technical notes. UCLA Working Papers in Phonetics, 22, 31-44.
4. Harshman, R. A. (1972b). Determination and proof of minimum uniqueness conditions for PARAFAC1. UCLA Working Papers in Phonetics, 22, 111-117.
5. Harshman, R. A., & Lundy, M. E. (1984). The PARAFAC model for three-way factor analysis and multi-dimensional scaling. In H. G. Law, C. W. Snyder, Jr., J. A. Hattie & R. P. McDonald, (Eds.), Research methods for multimode data analysis (pp. 122-215). New York: Praeger.
6. Harshman, R. A., & Lundy, M. E. (1996). Uniqueness proof for a family of models sharing features of Tucker's three-mode factor analysis and PARAFAC/CANDECOMP. Psychometrika, 61, Copy Editor: Provide page numbers.
7. Jacob, H. G., & Bailey, D. W. (1971). Linear Algebra. New York: Houghton Mifflin.
8. Kiers, H. A. L. (1993). An alternating least squares algorithm for PARAFAC2 and three-way DEDICOM. Computational Statistics and Data Analysis, 16, 103-118.
9. 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, 95-138.
10. Kruskal, J. B. (1989). Rank, decomposition, and uniqueness for 3-way and n-way arrays. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 7-18). Amsterdam: North-Holland.