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Principal component analysis of three-mode data by means of alternating least squares algorithms

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  • Pieter Kroonenberg
  • Jan Leeuw

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Suggested Citation

  • Pieter Kroonenberg & Jan Leeuw, 1980. "Principal component analysis of three-mode data by means of alternating least squares algorithms," Psychometrika, Springer;The Psychometric Society, vol. 45(1), pages 69-97, March.
    • Handle: RePEc:spr:psycho:v:45:y:1980:i:1:p:69-97
    DOI: 10.1007/BF02293599
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    References listed on IDEAS

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    1. Roger Shepard, 1974. "Representation of structure in similarity data: Problems and prospects," Psychometrika, Springer;The Psychometric Society, vol. 39(4), pages 373-421, December.
    2. 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.
    3. Ledyard Tucker, 1972. "Relations between multidimensional scaling and three-mode factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 37(1), pages 3-27, March.
    4. Ledyard Tucker, 1966. "Some mathematical notes on three-mode factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 31(3), pages 279-311, September.
    5. Lawrence Hubert & Frank Baker, 1979. "Evaluating the symmetry of a proximity matrix," Quality & Quantity: International Journal of Methodology, Springer, vol. 13(1), pages 77-84, February.
    6. Ledyard Tucker & Samuel Messick, 1963. "An individual differences model for multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 28(4), pages 333-367, December.
    Full references (including those not matched with items on IDEAS)

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