{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:25:57Z","timestamp":1743071157165,"version":"3.40.3"},"publisher-location":"Heidelberg","reference-count":9,"publisher":"Physica-Verlag HD","isbn-type":[{"type":"print","value":"9783790826036"},{"type":"electronic","value":"9783790826043"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-7908-2604-3_34","type":"book-chapter","created":{"date-parts":[[2010,11,8]],"date-time":"2010-11-08T10:41:11Z","timestamp":1289212871000},"page":"369-378","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Clustering Discrete Choice Data"],"prefix":"10.1007","author":[{"given":"Donatella","family":"Vicari","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Alf\u00f2","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,9,30]]},"reference":[{"key":"34_CR1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511753794","volume-title":"Quantitative models in marketing research","author":"P.H Franses","year":"2001","unstructured":"FRANSES, P.H and PAAP, R. (2001): Quantitative models in marketing research. Cambridge University Press, Cambridge."},{"issue":"2","key":"34_CR2","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1016\/S0031-3203(02)00074-2","volume":"36","author":"G. Govaert","year":"2003","unstructured":"GOVAERT G. and NADIF M. (2003): Clustering with block mixture models. Pattern Recognition 36(2), 463-473.","journal-title":"Pattern Recognition"},{"issue":"3","key":"34_CR3","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1198\/106186005X59586","volume":"14","author":"J. Li","year":"2005","unstructured":"LI J. (2005): Clustering based on a multi-layer mixture model. Journal of Computational and Graphical Statistics 14(3), 547-568","journal-title":"Journal of Computational and Graphical Statistics"},{"issue":"1","key":"34_CR4","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.csda.2004.07.013","volume":"50","author":"J. Li","year":"2006","unstructured":"LI J. and ZHA H. (2006): Two-way Poisson mixture models for simultaneous document classification and word clustering. Computational Statistics and Data Analysis 50(1), 163-180.","journal-title":"Computational Statistics and Data Analysis"},{"issue":"1","key":"34_CR5","doi-asserted-by":"publisher","first-page":"3","DOI":"10.2202\/1557-4679.1078","volume":"4","author":"F. Martella","year":"2008","unstructured":"MARTELLA, F., ALF\u00d2, M., VICHI, M. (2008): Biclustering of gene expression data by an extension of mixtures of factor analyzers. The International Journal of Biostatistics 4(1), art. 3.","journal-title":"The International Journal of Biostatistics"},{"key":"34_CR6","volume-title":"Statistical Analysis of Finite Mixture Distributions","author":"D.M. Titterington","year":"1985","unstructured":"TITTERINGTON, D.M., SMITH, A.F.M. and MAKOV, U.E. (1985): Statistical Analysis of Finite Mixture Distributions. John Wiley & Sons, Chichester."},{"issue":"9","key":"34_CR7","doi-asserted-by":"publisher","first-page":"2221","DOI":"10.1162\/089976602320264060","volume":"14","author":"K. Titsias","year":"2002","unstructured":"TITSIAS K. and LIKAS A. (2002): Mixture of Experts Classification Using a Hierarchical Mixture Model. Neural Computation 14(9), 2221-2244.","journal-title":"Neural Computation"},{"key":"34_CR8","doi-asserted-by":"publisher","first-page":"5368","DOI":"10.1016\/j.csda.2006.08.005","volume":"51","author":"J.K. Vermunt","year":"2007","unstructured":"VERMUNT, J.K. (2007): A hierarchical mixture model for clustering three-way data sets. Computational Statistics and Data Analysis 51, 5368-5376.","journal-title":"Computational Statistics and Data Analysis"},{"key":"34_CR9","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1177\/0962280207081238","volume":"17","author":"J.K. Vermunt","year":"2008","unstructured":"VERMUNT, J.K. (2008): Latent class and finite mixture models for multilevel data sets. Statistical Methods in Medical Research 17, 33-51.","journal-title":"Statistical Methods in Medical Research"}],"container-title":["Proceedings of COMPSTAT'2010"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-7908-2604-3_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T23:09:16Z","timestamp":1674860956000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-7908-2604-3_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783790826036","9783790826043"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-7908-2604-3_34","relation":{},"subject":[],"published":{"date-parts":[[2010]]},"assertion":[{"value":"30 September 2010","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}