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Sufficient conditions for uniqueness in Candecomp/Parafac and Indscal with random component matrices

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  • Alwin Stegeman
  • Jos Berge
  • Lieven Lathauwer

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  • Alwin Stegeman & Jos Berge & Lieven Lathauwer, 2006. "Sufficient conditions for uniqueness in Candecomp/Parafac and Indscal with random component matrices," Psychometrika, Springer;The Psychometric Society, vol. 71(2), pages 219-229, June.
    • Handle: RePEc:spr:psycho:v:71:y:2006:i:2:p:219-229
    DOI: 10.1007/11336-006-1278-2
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    References listed on IDEAS

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    1. J. Carroll & Jih-Jie Chang, 1970. "Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition," Psychometrika, Springer;The Psychometric Society, vol. 35(3), pages 283-319, September.
    2. Stegeman, Alwin & Ten Berge, Jos M.F., 2006. "Kruskal's condition for uniqueness in Candecomp/Parafac when ranks and k-ranks coincide," Computational Statistics & Data Analysis, Elsevier, vol. 50(1), pages 210-220, January.
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    Cited by:

    1. Paolo Giordani & Roberto Rocci & Giuseppe Bove, 2020. "Factor Uniqueness of the Structural Parafac Model," Psychometrika, Springer;The Psychometric Society, vol. 85(3), pages 555-574, September.
    2. Paolo Giordani & Roberto Rocci, 2013. "Constrained Candecomp/Parafac via the Lasso," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 669-684, October.

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