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Orthogonal rotation in PCAMIX

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  • Marie Chavent
  • Vanessa Kuentz-Simonet
  • Jérôme Saracco

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  • Marie Chavent & Vanessa Kuentz-Simonet & Jérôme Saracco, 2012. "Orthogonal rotation in PCAMIX," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 6(2), pages 131-146, July.
    • Handle: RePEc:spr:advdac:v:6:y:2012:i:2:p:131-146
    DOI: 10.1007/s11634-012-0105-3
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    References listed on IDEAS

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    1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    2. Michael Greenacre, 2006. "Tying up the loose ends in simple correspondence analysis," Economics Working Papers 940, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Henk Kiers, 1991. "Simple structure in component analysis techniques for mixtures of qualitative and quantitative variables," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 197-212, June.
    4. Robert Jennrich, 2001. "A simple general procedure for orthogonal rotation," Psychometrika, Springer;The Psychometric Society, vol. 66(2), pages 289-306, June.
    5. Michel Velden & Henk A.L. Kiers, 2005. "Rotation in Correspondence Analysis," Journal of Classification, Springer;The Classification Society, vol. 22(2), pages 251-271, September.
    6. Jan Leeuw & Sandra Pruzansky, 1978. "A new computational method to fit the weighted euclidean distance model," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 479-490, December.
    7. Jos Berge, 1984. "A joint treatment of varimax rotation and the problem of diagonalizing symmetric matrices simultaneously in the least-squares sense," Psychometrika, Springer;The Psychometric Society, vol. 49(3), pages 347-358, September.
    8. Lorenzo-Seva, Urbano & van de Velden, Michel & Kiers, Henk A. L., 2009. "CAR: A MATLAB Package to Compute Correspondence Analysis with Rotations," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i08).
    9. Carl Eckart & Gale Young, 1936. "The approximation of one matrix by another of lower rank," Psychometrika, Springer;The Psychometric Society, vol. 1(3), pages 211-218, September.
    10. H. Neudecker, 1981. "On the matrix formulation of Kaiser's varimax criterion," Psychometrika, Springer;The Psychometric Society, vol. 46(3), pages 343-345, September.
    11. Klaas Nevels, 1986. "A direct solution for pairwise rotations in Kaiser's varimax method," Psychometrika, Springer;The Psychometric Society, vol. 51(2), pages 327-329, June.
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    3. Christophe Biernacki & Matthieu Marbac & Vincent Vandewalle, 2021. "Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering," Journal of Classification, Springer;The Classification Society, vol. 38(1), pages 129-157, April.

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