Comparison of the mixture and the classification maximum likelihood in cluster analysis with binary data
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References listed on IDEAS
- 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.
- Gilles Celeux & Gérard Govaert, 1991. "Clustering criteria for discrete data and latent class models," Journal of Classification, Springer;The Classification Society, vol. 8(2), pages 157-176, December.
- S. Ganesalingam, 1989. "Classification and Mixture Approaches to Clustering Via Maximum Likelihood," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 38(3), pages 455-466, November.
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Cited by:
- Teague R. Henry & Kathleen M. Gates & Mitchell J. Prinstein & Douglas Steinley, 2020. "Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 8-34, March.
- Bouguila, Nizar, 2010. "On multivariate binary data clustering and feature weighting," Computational Statistics & Data Analysis, Elsevier, vol. 54(1), pages 120-134, January.
- Govaert, Gérard & Nadif, Mohamed, 2008. "Block clustering with Bernoulli mixture models: Comparison of different approaches," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3233-3245, February.
- 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.
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