{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T21:56:13Z","timestamp":1758405373970,"version":"3.41.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319896557"},{"type":"electronic","value":"9783319896564"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-89656-4_17","type":"book-chapter","created":{"date-parts":[[2018,4,5]],"date-time":"2018-04-05T04:53:44Z","timestamp":1522904024000},"page":"211-217","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9328-9218","authenticated-orcid":false,"given":"Nuha","family":"Zamzami","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nizar","family":"Bouguila","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,4,6]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Bouguila, N., Ziou, D.: Improving content based image retrieval systems using finite multinomial dirichlet mixture. In: Proceedings of the 14th IEEE Signal Processing Society Workshop, pp. 23\u201332. IEEE (2004)","DOI":"10.1109\/MLSP.2004.1422956"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Elkan, C.: Clustering documents with an exponential-family approximation of the dirichlet compound multinomial distribution. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 289\u2013296. ACM (2006)","DOI":"10.1145\/1143844.1143881"},{"key":"17_CR3","volume-title":"Finite mixture models","author":"G McLachlan","year":"2004","unstructured":"McLachlan, G., Peel, D.: Finite mixture models. Wiley, New York (2004)"},{"issue":"1","key":"17_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1008928315401","volume":"10","author":"RA Baxter","year":"2000","unstructured":"Baxter, R.A., Oliver, J.J.: Finding overlapping components with MML. Stat. Comput. 10(1), 5\u201316 (2000)","journal-title":"Stat. Comput."},{"key":"17_CR5","first-page":"1705","volume":"6","author":"A Banerjee","year":"2005","unstructured":"Banerjee, A., Merugu, S., Dhillon, I.S., Ghosh, J.: Clustering with bregman divergences. J. Mach. Learn. Res. 6, 1705\u20131749 (2005)","journal-title":"J. Mach. Learn. Res."},{"key":"17_CR6","volume-title":"Elements of Information Theory","author":"TM Cover","year":"2012","unstructured":"Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley, New York (2012)"},{"key":"17_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-27656-4","volume-title":"Statistical and Inductive Inference by Minimum Message Length","author":"CS Wallace","year":"2005","unstructured":"Wallace, C.S.: Statistical and Inductive Inference by Minimum Message Length. Springer, New York (2005). https:\/\/doi.org\/10.1007\/0-387-27656-4"},{"key":"17_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2249-9","volume-title":"Sphere Packings, Lattices and Groups","author":"JH Conway","year":"1993","unstructured":"Conway, J.H., Sloane, N.J.A.: Sphere Packings, Lattices and Groups, vol. 290. Springer, New York (1993). https:\/\/doi.org\/10.1007\/978-1-4757-2249-9"},{"issue":"10","key":"17_CR9","doi-asserted-by":"publisher","first-page":"1716","DOI":"10.1109\/TPAMI.2007.1095","volume":"29","author":"N Bouguila","year":"2007","unstructured":"Bouguila, N., Ziou, D.: High-dimensional unsupervised selection and estimation of a finite generalized dirichlet mixture model based on minimum message length. IEEE Trans. Pattern Anal. Mach. Intell. 29(10), 1716\u20131731 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"17_CR10","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1109\/34.990138","volume":"24","author":"MAT Figueiredo","year":"2002","unstructured":"Figueiredo, M.A.T., Jain, A.K.: Unsupervised learning of finite mixture models. IEEE Trans. Pattern Anal. Mach. Intell. 24(3), 381\u2013396 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"17_CR11","volume-title":"Matrices with Applications in Statistics","author":"FA Graybill","year":"1983","unstructured":"Graybill, F.A.: Matrices with Applications in Statistics. Wadsworth, Belmont, CA (1983)"},{"key":"17_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1007\/3-540-53504-7_63","volume-title":"Advances in Computing and Information \u2014 ICCI \u201990","author":"CS Wallace","year":"1990","unstructured":"Wallace, C.S.: Classification by minimum-message-length inference. In: Akl, S.G., Fiala, F., Koczkodaj, W.W. (eds.) ICCI 1990. LNCS, vol. 468, pp. 72\u201381. Springer, Heidelberg (1990). https:\/\/doi.org\/10.1007\/3-540-53504-7_63"},{"issue":"1","key":"17_CR13","first-page":"64","volume":"80","author":"WH Jefferys","year":"1992","unstructured":"Jefferys, W.H., Berger, J.O.: Ockham\u2019s razor and Bayesian analysis. Am. Sci. 80(1), 64\u201372 (1992)","journal-title":"Am. Sci."},{"issue":"6","key":"17_CR14","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","volume":"19","author":"H Akaike","year":"1974","unstructured":"Akaike, H.: A new look at the statistical model identification. IEEE Trans. Autom. Control 19(6), 716\u2013723 (1974)","journal-title":"IEEE Trans. Autom. Control"},{"issue":"5","key":"17_CR15","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/0005-1098(78)90005-5","volume":"14","author":"J Rissanen","year":"1978","unstructured":"Rissanen, J.: Modeling by shortest data description. Automatica 14(5), 465\u2013471 (1978)","journal-title":"Automatica"},{"key":"17_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern Recognition with Fuzzy Objective Function Algorithms","author":"JC Bezdek","year":"1981","unstructured":"Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Springer, Boston (1981). https:\/\/doi.org\/10.1007\/978-1-4757-0450-1"},{"issue":"7","key":"17_CR17","doi-asserted-by":"publisher","first-page":"1575","DOI":"10.1109\/TKDE.2013.19","volume":"26","author":"YS Lin","year":"2014","unstructured":"Lin, Y.S., Jiang, J.Y., Lee, S.J.: A similarity measure for text classification and clustering. IEEE Trans. Knowl. Data Eng. 26(7), 1575\u20131590 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-89656-4_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T12:50:12Z","timestamp":1751547012000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-89656-4_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319896557","9783319896564"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-89656-4_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"6 April 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Canadian AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canadian Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 May 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 May 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"canadianai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.caiac.ca\/en\/conferences\/canadianai-2018\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}