{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T16:59:06Z","timestamp":1780505946413,"version":"3.54.1"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2014,6,5]],"date-time":"2014-06-05T00:00:00Z","timestamp":1401926400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Stat Comput"],"published-print":{"date-parts":[[2015,11]]},"DOI":"10.1007\/s11222-014-9472-2","type":"journal-article","created":{"date-parts":[[2014,6,4]],"date-time":"2014-06-04T22:11:05Z","timestamp":1401919865000},"page":"1201-1216","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":68,"title":["Estimation and selection for the latent block model on categorical data"],"prefix":"10.1007","volume":"25","author":[{"given":"Christine","family":"Keribin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vincent","family":"Brault","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gilles","family":"Celeux","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G\u00e9rard","family":"Govaert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2014,6,5]]},"reference":[{"key":"9472_CR1","doi-asserted-by":"crossref","unstructured":"Allman, E., Mattias, C., Rhodes, J.: Identifiability of parameters in latent structure models with many observed variables. Ann. Stat. 37, 3099\u20133132 (2009)","DOI":"10.1214\/09-AOS689"},{"key":"9472_CR2","first-page":"1919","volume":"8","author":"A Banerjee","year":"2007","unstructured":"Banerjee, A., Dhillon, I., Ghosh, J., Merugu, S., Modha, D.S.: A generalized maximum entropy approach to bregman co-clustering and matrix approximation. J. Mach. Learn. Res. 8, 1919\u20131986 (2007). ISSN 1532\u20134435","journal-title":"J. Mach. Learn. Res."},{"key":"9472_CR3","unstructured":"Baudry, J.-P. : S\u00e9lection de mod\u00e8le pour la classification non supervis\u00e9e. Choix du nombre de classes. PhD thesis, Universit\u00e9 Paris Sud, December 2009."},{"key":"9472_CR4","doi-asserted-by":"crossref","unstructured":"Baudry, J.-P., Raftery, A.E., Celeux, G., Lo, K., Gottardo, R.: Combining mixture components for clustering. J. Comput. Gr. Stat. 19, 332\u2013353 (2010)","DOI":"10.1198\/jcgs.2010.08111"},{"key":"9472_CR5","doi-asserted-by":"crossref","unstructured":"Biernacki, C., Celeux, G., Govaert, G.: Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Trans. Pattern Anal. Mach. Intell. 22, 719\u2013725 (Jul 2000)","DOI":"10.1109\/34.865189"},{"key":"9472_CR6","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1162\/089976600300015925","volume":"12","author":"M Carreira-Perpi\u00f1\u00e0n","year":"2000","unstructured":"Carreira-Perpi\u00f1\u00e0n, M., Renals, S.: Practical identifiability of finite mixtures of multivariate bernoulli distributions. Neural Comput. 12, 141\u2013152 (2000)","journal-title":"Neural Comput."},{"key":"9472_CR7","first-page":"73","volume":"2","author":"G Celeux","year":"1985","unstructured":"Celeux, G., Diebolt, J.: Stochastic versions of the em algorithm. Comput. Stat. Quat. 2, 73\u201382 (1985)","journal-title":"Comput. Stat. Quat."},{"key":"9472_CR8","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1214\/12-EJS729","volume":"6","author":"A Celisse","year":"2012","unstructured":"Celisse, A., Daudin, J.-J., Latouche, P.: Consistency of maximum-likelihood and variational estimators in the stochastic block model. Electron. J. Stat. 6, 1847\u20131899 (2012)","journal-title":"Electron. J. Stat."},{"key":"9472_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"AP Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the em algorithm (with discussion). J. R. Stat. Soc. Ser. B 39, 1\u201338 (1977)","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"9472_CR10","volume-title":"Finite Mixture and Markov Switching Models","author":"S Fr\u00fchwirth-Schnatter","year":"2006","unstructured":"Fr\u00fchwirth-Schnatter, S.: Finite Mixture and Markov Switching Models. Springer series in statistics, Springer (2006)"},{"key":"9472_CR11","volume-title":"Mixtures : Estimation and Applications, Chapter Dealing with Label Switching Under Model Uncertainty","author":"S Fr\u00fchwirth-Schnatter","year":"2011","unstructured":"Fr\u00fchwirth-Schnatter, S.: Mixtures : Estimation and Applications, Chapter Dealing with Label Switching Under Model Uncertainty. Wiley, Chichester (2011)"},{"key":"9472_CR12","unstructured":"Govaert, G. : Algorithme de classification d\u2019un tableau de contingence. In First international Symposium on Data Analysis and Informatics, pp. 487\u2013500, Versailles, 1977. INRIA."},{"key":"9472_CR13","unstructured":"Govaert, G. : Classification crois\u00e9e. PhD thesis, Universit\u00e9 Paris 6, France, 1983."},{"key":"9472_CR14","doi-asserted-by":"crossref","first-page":"3233","DOI":"10.1016\/j.csda.2007.09.007","volume":"52","author":"G Govaert","year":"2008","unstructured":"Govaert, G., Nadif, M.: Block clustering with bernoulli mixture models: comparison of different approaches. Comput. Stat. Data Anal. 52, 3233\u20133245 (2008)","journal-title":"Comput. Stat. Data Anal."},{"key":"9472_CR15","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1080\/03610920903140197","volume":"39","author":"G Govaert","year":"2010","unstructured":"Govaert, G., Nadif, M.: Latent block model for contingency table. Commun. Stat. Theory Methods 39, 416\u2013425 (2010)","journal-title":"Commun. Stat. Theory Methods"},{"key":"9472_CR16","doi-asserted-by":"crossref","first-page":"542","DOI":"10.2307\/3215044","volume":"31","author":"M Gyllenberg","year":"1994","unstructured":"Gyllenberg, M., Koski, T., Reilink, E., Verlann, M.: Non-uniqueness in probabilistic numerical identification of bacteria. J. Appl. Probab. 31, 542\u2013548 (1994)","journal-title":"J. Appl. Probab."},{"key":"9472_CR17","doi-asserted-by":"crossref","first-page":"S5","DOI":"10.1186\/1471-2105-8-S10-S5","volume":"8","author":"M Jagalur","year":"2007","unstructured":"Jagalur, M., Pal, C., Learned-Miller, E., Zoeller, R.T., Kulp, D.: Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering. BMC Bioinform. 8, S5 (2007)","journal-title":"BMC Bioinform."},{"key":"9472_CR18","unstructured":"Keribin, C.: Consistent estimation of the order of mixture models. Sankhya Ser. A 62, 49\u201366 (2000)"},{"key":"9472_CR19","first-page":"107","volume":"151","author":"C Keribin","year":"2010","unstructured":"Keribin, C.: M\u00e9thodes bay\u00e9siennes variationnelles: concepts et applications en neuroimagerie. Journal de la Soci\u00e9t\u00e9 Fran\u00e7aise de Statistique 151, 107\u2013131 (2010)","journal-title":"Journal de la Soci\u00e9t\u00e9 Fran\u00e7aise de Statistique"},{"key":"9472_CR20","unstructured":"Keribin, C., Brault, V., Celeux, G., Govaert, G.: Model selection for the binary latent block model. Proceedings of COMPSTAT 2012, 2012."},{"key":"9472_CR21","unstructured":"Keribin, C., Brault, V., Celeux, G., Govaert, G. : Estimation and Selection for the Latent Block Model on Categorical Data. Rapport de recherche RR-8264, INRIA, March 2013. URL http:\/\/hal.inria.fr\/hal-00802764"},{"key":"9472_CR22","unstructured":"Lomet, A.: S\u00e9lection de mod\u00e8le pour la classification crois\u00e9e de donn\u00e9es continues. PhD thesis, Universit\u00e9 de Technologie de Compi\u00e8gne, December 2012."},{"key":"9472_CR23","unstructured":"Lomet, A., Govaert, G., Grandvalet, Y.: Un protocole de simulation de donn\u00e9es pour la classification crois\u00e9e. In 44\u00e8me journ\u00e9es de statistique, Bruxelles, Mai 2012."},{"key":"9472_CR24","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/TCBB.2004.2","volume":"1","author":"SC Madeira","year":"2004","unstructured":"Madeira, S.C., Oliveira, A.L.: Biclustering algorithms for biological data analysis: a survey. IEEE\/ACM Trans. Comput. Biol. Bioinf. 1, 24\u201345 (2004)","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinf."},{"key":"9472_CR25","unstructured":"Mariadassou, M., Matias, C.: Convergence of the groups posterior distribution in latent or stochastic block models. arXiv, preprint arXiv:1206.7101v2 , 2013."},{"key":"9472_CR26","doi-asserted-by":"crossref","DOI":"10.1002\/9780470191613","volume-title":"The EM Algorithm and Extensions","author":"GJ McLachlan","year":"2008","unstructured":"McLachlan, G.J., Krishnan, T.: The EM Algorithm and Extensions, 2nd edn. Wiley, Nex York (2008)","edition":"2"},{"key":"9472_CR27","doi-asserted-by":"crossref","DOI":"10.1002\/0471721182","volume-title":"Finite Mixture Models","author":"GJ McLachlan","year":"2000","unstructured":"McLachlan, G.J., Peel, D.: Finite Mixture Models, 2nd edn. Wiley, Nex York (2000)","edition":"2"},{"key":"9472_CR28","unstructured":"Meeds, E, Roweis, S: Nonparametric bayesian biclustering. Technical Report UTML TR 2007\u2013001, Department of Computer Science, University of Toronto, 2007."},{"key":"9472_CR29","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1111\/j.1467-9868.2011.00781.x","volume":"73","author":"J Rousseau","year":"2011","unstructured":"Rousseau, J., Mengersen, K.: Asymptotic behaviour of the posterior distribution in overfitted models. J. Roy. Stat. Soc. 73, 689\u2013710 (2011)","journal-title":"J. Roy. Stat. Soc."},{"issue":"2","key":"9472_CR30","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6(2), 461\u2013464 (1978)","journal-title":"Ann. Stat."},{"key":"9472_CR31","doi-asserted-by":"crossref","unstructured":"Shan, H., Banerjee, A.: Bayesian co-clustering. In Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, ICDM \u201908, pp. 530\u2013539, Washington, DC, 2008. IEEE Computer Society.","DOI":"10.1109\/ICDM.2008.91"},{"key":"9472_CR32","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1007\/s11222-011-9233-4","volume":"22","author":"J Wyse","year":"2012","unstructured":"Wyse, J., Friel, N.: Block clustering with collapsed latent block models. Stat. Comput. 22, 415\u2013428 (2012)","journal-title":"Stat. Comput."}],"container-title":["Statistics and Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-014-9472-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11222-014-9472-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-014-9472-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T09:27:07Z","timestamp":1716802027000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11222-014-9472-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,6,5]]},"references-count":32,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2015,11]]}},"alternative-id":["9472"],"URL":"https:\/\/doi.org\/10.1007\/s11222-014-9472-2","relation":{},"ISSN":["0960-3174","1573-1375"],"issn-type":[{"value":"0960-3174","type":"print"},{"value":"1573-1375","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,6,5]]}}}