{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,14]],"date-time":"2025-12-14T15:55:29Z","timestamp":1765727729384},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"2-3","license":[{"start":{"date-parts":[[2010,6,26]],"date-time":"2010-06-26T00:00:00Z","timestamp":1277510400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adv Data Anal Classif"],"published-print":{"date-parts":[[2010,9]]},"DOI":"10.1007\/s11634-010-0065-4","type":"journal-article","created":{"date-parts":[[2010,6,25]],"date-time":"2010-06-25T09:52:48Z","timestamp":1277459568000},"page":"111-135","source":"Crossref","is-referenced-by-count":25,"title":["A simulation study to compare robust clustering methods based on mixtures"],"prefix":"10.1007","volume":"4","author":[{"given":"Pietro","family":"Coretto","sequence":"first","affiliation":[]},{"given":"Christian","family":"Hennig","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,6,26]]},"reference":[{"key":"65_CR1","doi-asserted-by":"crossref","first-page":"803","DOI":"10.2307\/2532201","volume":"49","author":"J Banfield","year":"1993","unstructured":"Banfield J, Raftery AE (1993) Model-based gaussian and non-gaussian clustering. Biometrics 49: 803\u2013821","journal-title":"Biometrics"},{"key":"65_CR2","unstructured":"Coretto P (2008) The noise component in model-based clustering. PhD thesis, Department of Statistical Science, University College London. http:\/\/www.ontherubicon.com\/pietro\/docs\/phdthesis.pdf"},{"key":"65_CR3","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1214\/aos\/1031833664","volume":"25","author":"JA Cuesta-Albertos","year":"1997","unstructured":"Cuesta-Albertos JA, Gordaliza A, Matr\u00e1n C (1997) Trimmed k-means: an attempt to robustify quantizers. Ann Stat 25: 553\u2013576","journal-title":"Ann Stat"},{"key":"65_CR4","doi-asserted-by":"crossref","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: 578\u2013588","journal-title":"Comput J"},{"key":"65_CR5","doi-asserted-by":"crossref","unstructured":"Fraley C, Raftery AE (2006) Mclust version 3 for r: normal mixture modeling and model-based clustering. Technical report 504, Department of Statistics, University of Washington","DOI":"10.21236\/ADA456562"},{"issue":"5","key":"65_CR6","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1214\/009053604000000940","volume":"33","author":"MT Gallegos","year":"2005","unstructured":"Gallegos MT, Ritter G (2005) A robust method for cluster analysis. Ann Stat 33(5): 347\u2013380","journal-title":"Ann Stat"},{"issue":"3","key":"65_CR7","doi-asserted-by":"crossref","first-page":"1324","DOI":"10.1214\/07-AOS515","volume":"38","author":"LA Garc\u00eda-Escudero","year":"2008","unstructured":"Garc\u00eda-Escudero LA, Gordaliza A, Matr\u00e1n C, Mayo-Iscar A (2008) A general trimming approach to robust cluster analysis. Ann Stat 38(3): 1324\u20131345","journal-title":"Ann Stat"},{"key":"65_CR8","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1214\/aos\/1176349557","volume":"13","author":"RJ Hathaway","year":"1985","unstructured":"Hathaway RJ (1985) A constrained formulation of maximum-likelihood estimation for normal mixture distributions. Ann Stat 13: 795\u2013800","journal-title":"Ann Stat"},{"issue":"4","key":"65_CR9","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.1214\/009053604000000571","volume":"32","author":"C Hennig","year":"2004","unstructured":"Hennig C (2004) Breakdown points for maximum likelihood estimators of location-scale mixtures. Ann Stat 32(4): 1313\u20131340","journal-title":"Ann Stat"},{"key":"65_CR10","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1007\/3-540-26981-9_16","volume-title":"Innovations in classification. Data science, and information systems","author":"C Hennig","year":"2005","unstructured":"Hennig C (2005) Robustness of ML estimators of location-scale mixtures. In: Baier D, Wernecke KD (eds) Innovations in classification. Data science, and information systems. Springer, Heidelberg, pp 128\u2013137"},{"key":"65_CR11","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/978-3-540-78246-9_16","volume-title":"Data analysis, machine learning and applications","author":"C Hennig","year":"2008","unstructured":"Hennig C, Coretto P (2008) The noise component in model-based cluster analysis. In: Preisach C, Burkhardt H, Schmidt-Thieme L, Decker R (eds) Data analysis, machine learning and applications. Springer, Berlin, , pp 127\u2013138"},{"issue":"364","key":"65_CR12","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1080\/01621459.1978.10480085","volume":"73","author":"DW Hosmer","year":"1978","unstructured":"Hosmer DW (1978) Comment on \u201cEstimating mixtures of normal distributions and switching regressions\u201d by R. Quandt and J.B. Ramsey. J Am Stat Assoc 73(364): 730\u2013752","journal-title":"Quandt and J.B. Ramsey. J Am Stat Assoc"},{"issue":"3\u20134","key":"65_CR13","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/S0167-9473(02)00177-9","volume":"41","author":"D Karlis","year":"2003","unstructured":"Karlis D, Xekalaki E (2003) Choosing initial values for the EM algorithm for finite mixtures. Comput Stat Data Anal 41(3\u20134): 577\u2013590","journal-title":"Comput Stat Data Anal"},{"key":"65_CR14","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1006\/jmva.1997.1703","volume":"63","author":"C Liu","year":"1997","unstructured":"Liu C (1997) ML estimation of the multivariate t distribution and the EM algorithms. J Multivar Anal 63: 296\u2013312","journal-title":"J Multivar Anal"},{"key":"65_CR15","volume-title":"The EM algorithm and extensions","author":"G McLachlan","year":"1997","unstructured":"McLachlan G, Krishnan T (1997) The EM algorithm and extensions. Wiley, New York"},{"issue":"4","key":"65_CR16","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1023\/A:1008981510081","volume":"10","author":"G McLachlan","year":"2000","unstructured":"McLachlan G, Peel D (2000) Robust mixture modelling using the t-distribution. Stat Comput 10(4): 339\u2013348","journal-title":"Stat Comput"},{"issue":"3","key":"65_CR17","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.csda.2006.12.024","volume":"17","author":"N Neykov","year":"2007","unstructured":"Neykov N, Filzmoser P, Dimova R, Neytchev P (2007) Robust fitting of mixtures using the trimmed likelihood estimator. Comput Stat Data Anal 17(3): 299\u2013308","journal-title":"Comput Stat Data Anal"},{"key":"65_CR18","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1137\/1026034","volume":"26","author":"R Redner","year":"1984","unstructured":"Redner R, Walker HF (1984) Mixture densities, maximum likelihood and the EM algorithm. SIAM Rev 26: 195\u2013239","journal-title":"SIAM Rev"}],"container-title":["Advances in Data Analysis and Classification"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-010-0065-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11634-010-0065-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-010-0065-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T14:46:32Z","timestamp":1559400392000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11634-010-0065-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,6,26]]},"references-count":18,"journal-issue":{"issue":"2-3","published-print":{"date-parts":[[2010,9]]}},"alternative-id":["65"],"URL":"https:\/\/doi.org\/10.1007\/s11634-010-0065-4","relation":{},"ISSN":["1862-5347","1862-5355"],"issn-type":[{"value":"1862-5347","type":"print"},{"value":"1862-5355","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,6,26]]}}}