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PARAFAC: Parallel factor analysis

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  • Harshman, Richard A.
  • Lundy, Margaret E.

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Suggested Citation

  • Harshman, Richard A. & Lundy, Margaret E., 1994. "PARAFAC: Parallel factor analysis," Computational Statistics & Data Analysis, Elsevier, vol. 18(1), pages 39-72, August.
    • Handle: RePEc:eee:csdana:v:18:y:1994:i:1:p:39-72
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    Citations

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    Cited by:

    1. Richard Harshman & Margaret Lundy, 1996. "Uniqueness proof for a family of models sharing features of Tucker's three-mode factor analysis and PARAFAC/candecomp," Psychometrika, Springer;The Psychometric Society, vol. 61(1), pages 133-154, March.
    2. Veldscholte, Carla M. & Kroonenberg, Pieter M. & Antonides, Gerrit, 1998. "Three-mode analysis of perceptions of economic activities in Eastern and Western Europe1," Journal of Economic Psychology, Elsevier, vol. 19(3), pages 321-351, June.
    3. Dawn Iacobucci & Doug Grisaffe & Wayne DeSarbo, 2017. "Statistical perceptual maps: using confidence region ellipses to enhance the interpretations of brand positions in multidimensional scaling," Journal of Marketing Analytics, Palgrave Macmillan, vol. 5(3), pages 81-98, December.
    4. Leora C. Swartzman & Richard A. Harshman & Jacquelyn Burkell & Margaret E. Lundy, 2002. "What Accounts for the Appeal of Complementary/Alternative Medicine, and What Makes Complementary/Alternative Medicine “Alternative†?," Medical Decision Making, , vol. 22(5), pages 431-450, October.
    5. Susana Mendes & M. José Fernández-Gómez & Sónia Cotrim Marques & Miguel Ângelo Pardal & Ulisses Miranda Azeiteiro & M. Purificación Galindo-Villardón, 2017. "CO-tucker: a new method for the simultaneous analysis of a sequence of paired tables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(15), pages 2729-2755, November.
    6. Shi, Chengchun & Lu, Wenbin & Song, Rui, 2019. "Determining the number of latent factors in statistical multi-relational learning," LSE Research Online Documents on Economics 102110, London School of Economics and Political Science, LSE Library.
    7. Jean-Pierre Rossi & Maxime Nardin & Martin Godefroid & Manuela Ruiz-Diaz & Anne-Sophie Sergent & Alejandro Martinez-Meier & Luc Pâques & Philippe Rozenberg, 2014. "Dissecting the Space-Time Structure of Tree-Ring Datasets Using the Partial Triadic Analysis," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-13, September.
    8. Stegeman, Alwin, 2014. "Finding the limit of diverging components in three-way Candecomp/Parafac—A demonstration of its practical merits," Computational Statistics & Data Analysis, Elsevier, vol. 75(C), pages 203-216.

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