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An approach ton-mode components analysis

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  • Arie Kapteyn
  • Heinz Neudecker
  • Tom Wansbeek

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Suggested Citation

  • Arie Kapteyn & Heinz Neudecker & Tom Wansbeek, 1986. "An approach ton-mode components analysis," Psychometrika, Springer;The Psychometric Society, vol. 51(2), pages 269-275, June.
    • Handle: RePEc:spr:psycho:v:51:y:1986:i:2:p:269-275
    DOI: 10.1007/BF02293984
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    References listed on IDEAS

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    1. J. Douglas Carroll & Sandra Pruzansky & Joseph Kruskal, 1980. "Candelinc: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters," Psychometrika, Springer;The Psychometric Society, vol. 45(1), pages 3-24, March.
    2. 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.
    3. Magnus, J.R. & Neudecker, H., 1979. "The commutation matrix : Some properties and applications," Other publications TiSEM d0b1e779-7795-4676-ac98-1, Tilburg University, School of Economics and Management.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Andersson, Claus A. & Henrion, Rene, 1999. "A general algorithm for obtaining simple structure of core arrays in N-way PCA with application to fluorometric data," Computational Statistics & Data Analysis, Elsevier, vol. 31(3), pages 255-278, September.
    2. Carolyn Anderson, 1996. "The analysis of three-way contingency tables by three-mode association models," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 465-483, September.
    3. Giuseppe Brandi & Ruggero Gramatica & Tiziana Di Matteo, 2019. "Unveil stock correlation via a new tensor-based decomposition method," Papers 1911.06126, arXiv.org, revised Apr 2020.
    4. Henk Kiers, 1997. "Three-mode orthomax rotation," Psychometrika, Springer;The Psychometric Society, vol. 62(4), pages 579-598, December.
    5. Bilian Chen & Zhening Li & Shuzhong Zhang, 2015. "On optimal low rank Tucker approximation for tensors: the case for an adjustable core size," Journal of Global Optimization, Springer, vol. 62(4), pages 811-832, August.

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