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Clustering of contingency table and mixture model

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  • Govaert, Gerard
  • Nadif, Mohamed

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  • Govaert, Gerard & Nadif, Mohamed, 2007. "Clustering of contingency table and mixture model," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1055-1066, December.
    • Handle: RePEc:eee:ejores:v:183:y:2007:i:3:p:1055-1066
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    References listed on IDEAS

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    1. Govaert, G. & Nadif, M., 1996. "Comparison of the mixture and the classification maximum likelihood in cluster analysis with binary data," Computational Statistics & Data Analysis, Elsevier, vol. 23(1), pages 65-81, November.
    2. Celeux, Gilles & Govaert, Gerard, 1992. "A classification EM algorithm for clustering and two stochastic versions," Computational Statistics & Data Analysis, Elsevier, vol. 14(3), pages 315-332, October.
    3. Michael Greenacre, 1988. "Clustering the rows and columns of a contingency table," Journal of Classification, Springer;The Classification Society, vol. 5(1), pages 39-51, March.
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    1. Gérard Govaert & Mohamed Nadif, 2018. "Mutual information, phi-squared and model-based co-clustering for contingency tables," 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. 12(3), pages 455-488, September.
    2. Enrico Carlini & Fabio Rapallo, 2011. "A class of statistical models to weaken independence in two-way contingency tables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(1), pages 1-22, January.
    3. Vrontis, Demetris & Basile, Gianpaolo & Simona Andreano, M. & Mazzitelli, Andrea & Papasolomou, Ioanna, 2020. "The profile of innovation driven Italian SMEs and the relationship between the firms’ networking abilities and dynamic capabilities," Journal of Business Research, Elsevier, vol. 114(C), pages 313-324.
    4. Emilio Carrizosa & Vanesa Guerrero & Dolores Romero Morales, 2023. "On mathematical optimization for clustering categories in contingency tables," 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. 17(2), pages 407-429, June.

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