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Generalized GIPSCAL re-revisited: a fast convergent algorithm with acceleration by the minimal polynomial extrapolation

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  • Sébastien Loisel
  • Yoshio Takane

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  • Sébastien Loisel & Yoshio Takane, 2011. "Generalized GIPSCAL re-revisited: a fast convergent algorithm with acceleration by the minimal polynomial extrapolation," 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. 5(1), pages 57-75, April.
    • Handle: RePEc:spr:advdac:v:5:y:2011:i:1:p:57-75
    DOI: 10.1007/s11634-010-0083-2
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    References listed on IDEAS

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    1. Yoshio Takane & Kwanghee Jung & Heungsun Hwang, 2010. "An acceleration method for Ten Berge et al.’s algorithm for orthogonal INDSCAL," Computational Statistics, Springer, vol. 25(3), pages 409-428, September.
    2. Loisel, Sébastien & Takane, Marina, 2009. "Fast indirect robust generalized method of moments," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3571-3579, August.
    3. Henk Kiers & Yoshio Takane, 1994. "A generalization of GIPSCAL for the analysis of nonsymmetric data," Journal of Classification, Springer;The Classification Society, vol. 11(1), pages 79-99, March.
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    Cited by:

    1. Masahiro Kuroda & Yuichi Mori & Masaya Iizuka, 2023. "Speeding up the convergence of the alternating least squares algorithm using vector $$\varepsilon $$ ε acceleration and restarting for nonlinear principal component analysis," Computational Statistics, Springer, vol. 38(1), pages 243-262, March.

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