{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T18:18:41Z","timestamp":1770229121869,"version":"3.49.0"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"DATAIA"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1109\/tpami.2023.3337195","type":"journal-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T19:12:43Z","timestamp":1701198763000},"page":"2709-2721","source":"Crossref","is-referenced-by-count":8,"title":["A Flexible EM-Like Clustering Algorithm for Noisy Data"],"prefix":"10.1109","volume":"46","author":[{"given":"Violeta","family":"Roizman","sequence":"first","affiliation":[{"name":"CentraleSupélec, Laboratoire des signaux et systémes, CNRS, Université Paris-Saclay, Gif-sur-Yvette, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3576-5866","authenticated-orcid":false,"given":"Matthieu","family":"Jonckheere","sequence":"additional","affiliation":[{"name":"LAAS-CNRS, Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0196-6395","authenticated-orcid":false,"given":"Fr\u00e9d\u00e9ric","family":"Pascal","sequence":"additional","affiliation":[{"name":"CentraleSupélec, Laboratoire des signaux et systémes, CNRS, Université Paris-Saclay, Gif-sur-Yvette, France"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3233635"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3198638"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2890017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2933590"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3263848"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1201\/b19706-40"},{"key":"ref7","article-title":"Clustering\u2013scikit-learn v0.20.3","year":"2019"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/S0169-7161(82)02012-4","article-title":"9 The classification and mixture maximum likelihood approaches to cluster analysis","volume-title":"Classification Pattern Recognition and Reduction of Dimensionality, ser. Handbook of Statistics","volume":"2","author":"McLachlan","year":"1982"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via the EM algorithm","volume":"39","author":"Dempster","year":"1977","journal-title":"J. Roy. Stat. Soc., Ser. B"},{"issue":"458","key":"ref10","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1198\/016214502760047131","article-title":"Model-based clustering, discriminant analysis, and density estimation","volume":"97","author":"Fraley","year":"2002","journal-title":"J. Amer. Stat. Assoc."},{"issue":"1","key":"ref11","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1214\/aos\/1176343347","article-title":"Robust M-Estimators of multivariate location and scatter","volume":"4","author":"Maronna","year":"1976","journal-title":"Ann. Statist."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1214\/07-aos515"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.csda.2012.12.008","article-title":"Model-based clustering of high-dimensional data: A review","volume":"71","author":"Bouveyron","year":"2014","journal-title":"Comput. Statist. Data Anal."},{"issue":"5","key":"ref14","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1016\/0031-3203(94)00125-6","article-title":"Gaussian parsimonious clustering models","volume":"28","author":"Celeux","year":"1995","journal-title":"Pattern Recognit."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1201\/9781315373577"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1023\/a:1008981510081"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2018.08.016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/cjs.11246"},{"issue":"2","key":"ref19","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s11222-012-9362-4","article-title":"Finite mixtures of multivariate skew t-distributions: Some recent and new results","volume":"24","author":"Lee","year":"2014","journal-title":"Statist. Comput."},{"issue":"3","key":"ref20","doi-asserted-by":"crossref","first-page":"803","DOI":"10.2307\/2532201","article-title":"Model-based Gaussian and non-Gaussian clustering","volume":"49","author":"Banfield","year":"1993","journal-title":"Biometrics"},{"issue":"1","key":"ref21","first-page":"5199","article-title":"Consistency, breakdown robustness, and algorithms for robust improper maximum likelihood clustering","volume":"18","author":"Coretto","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2373355"},{"key":"ref23","article-title":"Robust clustering using Tau-scales","author":"Gonzalez","year":"2019"},{"key":"ref24","article-title":"M\u00e9todos de clustering robustos","author":"Gonzalez","year":"2019"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/bf01886327"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/36.823939"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2522425"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.168"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/j.jmva.2014.07.006","article-title":"A characterization of elliptical distributions and some optimality properties of principal components for functional data","volume":"131","author":"Boente","year":"2014","journal-title":"J. Multivariate Anal."},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2212433"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2002.1008976"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/7.892695"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2002.1145751"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1049\/ip-f-1.1987.0035"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2002.800412"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2282909"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.23919\/Eusipco47968.2020.9287356"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2733381"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2017.12"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00205"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315150"},{"key":"ref43","volume-title":"Machine Learning","author":"Mitchell","year":"1997"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2889954"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1973.1055076"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/SAM.2012.6250525"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1946.0056"},{"key":"ref48","article-title":"On the convergence of the EM algorithm: A data-adaptive analysis","author":"Wu","year":"2016"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176350263"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2453014"},{"key":"ref51","first-page":"206","volume-title":"Robustness","author":"Bilodeau","year":"1999"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176348388"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2007.901652"},{"key":"ref54","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","volume-title":"Proc. 14th Int. Conf. Neural Inf. Process. Syst. Natural Synthetic","author":"Ng"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA.2009.88"},{"key":"ref57","article-title":"Otrimle: Robust model-based clustering","author":"Coretto","year":"2020"},{"key":"ref58","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","article-title":"Silhouettes: A graphical aid to the interpretation and validation of cluster analysis","volume":"20","author":"Rousseeuw","year":"1987","journal-title":"J. Comput. Appl. Math."},{"key":"ref59","first-page":"2837","article-title":"Information theoretic measures for clusterings comparison: Variants, properties, normalization and correction for chance","volume":"11","author":"Vinh","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1002\/cyto.a.23030"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00861"},{"key":"ref62","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10490207\/10330026.pdf?arnumber=10330026","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T04:54:39Z","timestamp":1730696079000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10330026\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":62,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2023.3337195","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}