{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T23:37:49Z","timestamp":1776469069075,"version":"3.51.2"},"publisher-location":"Boston, MA","reference-count":8,"publisher":"Springer US","isbn-type":[{"value":"9781489976857","type":"print"},{"value":"9781489976871","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-1-4899-7687-1_344","type":"book-chapter","created":{"date-parts":[[2019,3,20]],"date-time":"2019-03-20T20:09:45Z","timestamp":1553112585000},"page":"480-482","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Expectation Maximization Clustering"],"prefix":"10.1007","author":[{"given":"Xin","family":"Jin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawei","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,4,14]]},"reference":[{"issue":"3","key":"344_CR5359","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1016\/0167-9473(92)90042-E","volume":"14","author":"G Celeux","year":"1992","unstructured":"Celeux G, Govaert G (1992) A classification em algorithm for clustering and two stochastic versions. Comput Stat Data Anal 14(3):315\u2013332","journal-title":"Comput Stat Data Anal"},{"issue":"5","key":"344_CR5360","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1016\/0031-3203(94)00125-6","volume":"28","author":"G Celeux","year":"1995","unstructured":"Celeux G, Govaert G (1995) Gaussian parsimonious clustering models. Pattern Recognit 28(5):781\u2013793","journal-title":"Pattern Recognit"},{"issue":"4","key":"344_CR5361","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1080\/00949659608811772","volume":"55","author":"G Celeux","year":"1996","unstructured":"Celeux G, Chauveau D, Diebolt J (1996) Stochastic versions of the em algorithm: an experimental study in the mixture case. J Stat Comput Simul 55(4):287\u2013314","journal-title":"J Stat Comput Simul"},{"key":"344_CR5362","doi-asserted-by":"crossref","unstructured":"Chen W-C, Maitra R, Melnykov V (2012) EMCluster: EM algorithm for model-based clustering of finite mixture Gaussian distribution. R Package, http:\/\/cran.r-project.org\/package=EMCluster","DOI":"10.32614\/CRAN.package.EMCluster"},{"issue":"1","key":"344_CR5363","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 AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc Ser B (Methodol) 39(1):1\u201338","journal-title":"J R Stat Soc Ser B (Methodol)"},{"issue":"8","key":"344_CR5364","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1093\/comjnl\/41.8.578","volume":"41","author":"C Fraley","year":"1998","unstructured":"Fraley C, Raftery AE (1998) How many clusters? Which clustering method? Answers via model-based cluster analysis. Comput J 41(8):578\u2013588","journal-title":"Comput J"},{"issue":"1","key":"344_CR5365","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH (2009) The weka data mining software: an update. ACM SIGKDD Explor Newsl 11(1):10\u201318","journal-title":"ACM SIGKDD Explor Newsl"},{"issue":"11","key":"344_CR5366","doi-asserted-by":"publisher","first-page":"3950","DOI":"10.1016\/j.patcog.2012.04.031","volume":"45","author":"M-S Yang","year":"2012","unstructured":"Yang M-S, Lai C-Y, Lin C-Y (2012) A robust em clustering algorithm for Gaussian mixture models. Pattern Recognit 45(11):3950\u20133961","journal-title":"Pattern Recognit"}],"container-title":["Encyclopedia of Machine Learning and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4899-7687-1_344","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T23:34:47Z","timestamp":1721086487000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-1-4899-7687-1_344"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9781489976857","9781489976871"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-1-4899-7687-1_344","relation":{},"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"14 April 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}