{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:36:01Z","timestamp":1760384161217},"reference-count":21,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2004,6,1]],"date-time":"2004-06-01T00:00:00Z","timestamp":1086048000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information Systems"],"published-print":{"date-parts":[[2004,6]]},"DOI":"10.1016\/s0306-4379(03)00073-5","type":"journal-article","created":{"date-parts":[[2003,8,12]],"date-time":"2003-08-12T16:43:24Z","timestamp":1060706604000},"page":"315-326","source":"Crossref","is-referenced-by-count":8,"title":["Hierarchical model-based clustering of large datasets through fractionation and refractionation"],"prefix":"10.1016","volume":"29","author":[{"given":"Jeremy","family":"Tantrum","sequence":"first","affiliation":[]},{"given":"Alejandro","family":"Murua","sequence":"additional","affiliation":[]},{"given":"Werner","family":"Stuetzle","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/S0306-4379(03)00073-5_BIB1","series-title":"Numerical Taxonomy","first-page":"282","article-title":"Mode analysis: a generalization of nearest neighbor which reduces chaining effects","author":"Wishart","year":"1969"},{"key":"10.1016\/S0306-4379(03)00073-5_BIB2","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/BF01908064","article-title":"Statistical theory in clustering","volume":"2","author":"Hartigan","year":"1985","journal-title":"J. Classification"},{"key":"10.1016\/S0306-4379(03)00073-5_BIB3","doi-asserted-by":"crossref","unstructured":"M. Ankerst, M. Breuning, H. Kriegel, J. Sander, Optics: ordering points to identify the clustering structure, in: Proceedings, ACM SIGMOD International Conference on Management of Data (SIGMOD\u201999), Philadelphia, PA, 1999, pp. 49\u201360.","DOI":"10.1145\/304182.304187"},{"key":"10.1016\/S0306-4379(03)00073-5_BIB4","unstructured":"M. Ester, H. Kriegel, J. Sander, X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, in: Proceedings of the Second International Conference on Knowledge Discovery, Data Mining (KDD-96), Portland, OR, 1996, pp. 226\u2013231."},{"key":"10.1016\/S0306-4379(03)00073-5_BIB5","series-title":"Mixture Models: Inference, Applications to Clustering","author":"McLachlan","year":"1988"},{"key":"10.1016\/S0306-4379(03)00073-5_BIB6","series-title":"Finite Mixture Models","author":"McLachlan","year":"2000"},{"key":"10.1016\/S0306-4379(03)00073-5_BIB7","doi-asserted-by":"crossref","first-page":"803","DOI":"10.2307\/2532201","article-title":"Model-Based Gaussian, non-Gaussian clustering","volume":"49","author":"Banfield","year":"1993","journal-title":"Biometrics"},{"key":"10.1016\/S0306-4379(03)00073-5_BIB8","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1198\/016214502760047131","article-title":"Model-based clustering, discriminant analysis, density estimation","volume":"97","author":"Fraley","year":"2002","journal-title":"J. Amer. Statist. Assoc."},{"key":"10.1016\/S0306-4379(03)00073-5_BIB9","doi-asserted-by":"crossref","unstructured":"D. Cutting, D. Karger, J. Pedersen, J. Tukey, Scatter\/gather: a cluster-based approach to browsing large document collections, in: Proceedings 15th Annual International ACM SIGIR Conference on Research, Development in Information Retrieval, Copenhagen, Denmark, 1992, pp. 318\u2013329.","DOI":"10.1145\/133160.133214"},{"key":"10.1016\/S0306-4379(03)00073-5_BIB10","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1214\/aos\/1176344136","article-title":"Estimating the dimension of a model","volume":"6","author":"Schwarz","year":"1978","journal-title":"Ann. Statist."},{"issue":"8","key":"10.1016\/S0306-4379(03)00073-5_BIB11","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1093\/comjnl\/41.8.578","article-title":"How many clusters? which clustering method? answers via model-based cluster analysis","volume":"41","author":"Fraley","year":"1998","journal-title":"The Comput. J."},{"key":"10.1016\/S0306-4379(03)00073-5_BIB12","unstructured":"P. Bradley, U. Fayyad, C. Reina, Scaling clustering algorithms to large datasets, In: Proceedings of the fourth International Conference on Knowledge Discovery, Data Mining (KDD98), New York, NY, 1998."},{"key":"10.1016\/S0306-4379(03)00073-5_BIB13","unstructured":"P. Bradley, U. Fayyad, C. Reina, Scaling EM (expectation-maximization) clustering to large databases, Technical Report MSR-TR-98-35, Microsoft Research, 1999."},{"key":"10.1016\/S0306-4379(03)00073-5_BIB14","doi-asserted-by":"crossref","unstructured":"P. Domingos, G. Hulten, Learning from innite data in nite time, in: Advances in Neural Information Processing Systems, Vol. 14, MIT Press, Cambridge, MA, 2002.","DOI":"10.7551\/mitpress\/1120.003.0091"},{"key":"10.1016\/S0306-4379(03)00073-5_BIB15","doi-asserted-by":"crossref","first-page":"553","DOI":"10.2307\/2288117","article-title":"A method for comparing two hierarchical clusterings","volume":"78","author":"Fowlkes","year":"1983","journal-title":"J. the Amer. Statist. Assoc."},{"key":"10.1016\/S0306-4379(03)00073-5_BIB16","unstructured":"J. Allan, J. Carbonell, G. Doddington, J. Yamron, Y. Yang, Topic Detection, Tracking Pilot Study, Final Report, 1998."},{"issue":"2","key":"10.1016\/S0306-4379(03)00073-5_BIB17","doi-asserted-by":"crossref","first-page":"229","DOI":"10.3758\/BF03203370","article-title":"Improving the retrieval of information from external sources","volume":"23","author":"Dumais","year":"1991","journal-title":"Behavior Res. Methods, Instrum. Comput."},{"issue":"4","key":"10.1016\/S0306-4379(03)00073-5_BIB18","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1137\/1037127","article-title":"Using linear algebra for intelligent information retrieval","volume":"37","author":"Berry","year":"1995","journal-title":"SIAM Rev."},{"key":"10.1016\/S0306-4379(03)00073-5_BIB19","series-title":"Multivariate Density Estimation","author":"Scott","year":"1992"},{"issue":"1","key":"10.1016\/S0306-4379(03)00073-5_BIB20","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/72.554192","article-title":"Modeling the Manifolds of Images of Handwritten Digits","volume":"8","author":"Hinton","year":"1997","journal-title":"IEEE Trans. Neural Networks"},{"key":"10.1016\/S0306-4379(03)00073-5_BIB21","doi-asserted-by":"crossref","first-page":"113","DOI":"10.2307\/1390772","article-title":"XGobi: interactive dynamic data visualization in the X window system","volume":"7","author":"Swayne","year":"1998","journal-title":"J. Comput. Graphical Statist."}],"container-title":["Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306437903000735?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306437903000735?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T15:08:40Z","timestamp":1704899320000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306437903000735"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,6]]},"references-count":21,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2004,6]]}},"alternative-id":["S0306437903000735"],"URL":"https:\/\/doi.org\/10.1016\/s0306-4379(03)00073-5","relation":{},"ISSN":["0306-4379"],"issn-type":[{"value":"0306-4379","type":"print"}],"subject":[],"published":{"date-parts":[[2004,6]]}}}