{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T20:44:07Z","timestamp":1771015447497,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2018,9,1]],"date-time":"2018-09-01T00:00:00Z","timestamp":1535760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["DFG MU 987\/6-1"],"award-info":[{"award-number":["DFG MU 987\/6-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["RA 1894\/1-1"],"award-info":[{"award-number":["RA 1894\/1-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"name":"BMBF ALICE II","award":["01IB15001B"],"award-info":[{"award-number":["01IB15001B"]}]},{"DOI":"10.13039\/501100004225","name":"Petrobras","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004225","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004085","name":"Ministry of Education, Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004085","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001659","name":"German Research Foundation","doi-asserted-by":"crossref","award":["KL 2698\/1-1"],"award-info":[{"award-number":["KL 2698\/1-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001659","name":"German Research Foundation","doi-asserted-by":"crossref","award":["KL 2698\/2-1"],"award-info":[{"award-number":["KL 2698\/2-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]},{"name":"German Ministry for Education and Research as Berlin Big Data Center","award":["01IS14013A"],"award-info":[{"award-number":["01IS14013A"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/tnnls.2017.2737941","type":"journal-article","created":{"date-parts":[[2017,9,27]],"date-time":"2017-09-27T18:08:38Z","timestamp":1506535718000},"page":"3994-4006","source":"Crossref","is-referenced-by-count":33,"title":["Support Vector Data Descriptions and $k$ -Means Clustering: One Class?"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5222-3631","authenticated-orcid":false,"given":"Nico","family":"Gornitz","sequence":"first","affiliation":[]},{"given":"Luiz Alberto","family":"Lima","sequence":"additional","affiliation":[]},{"given":"Klaus-Robert","family":"Muller","sequence":"additional","affiliation":[]},{"given":"Marius","family":"Kloft","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3970-4569","authenticated-orcid":false,"given":"Shinichi","family":"Nakajima","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1069362732"},{"key":"ref38","first-page":"665","article-title":"Learning minimum volume sets","volume":"7","author":"scott","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/72.788641"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/72.914517"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2009.09.011"},{"key":"ref30","first-page":"307","article-title":"Clustered support vector machines","volume":"31","author":"gu","year":"2013","journal-title":"Proc AISTATS"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.03.010"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.184"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2004407"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1109\/TSMCB.2006.870633","article-title":"A cost-function approach to rival penalized competitive learning (RPCL)","volume":"36","author":"ma","year":"2006","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"ref28","author":"kondo","year":"2012","journal-title":"A robust and sparse K-means clustering algorithm"},{"key":"ref27","article-title":"Robustification of the sparse K-means clustering algorithm","author":"kondo","year":"2011"},{"key":"ref29","first-page":"281","article-title":"Learning the k in k-means","author":"hamerly","year":"2004","journal-title":"Proc NIPS"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(95)00120-4"},{"key":"ref1","article-title":"A constrained second-order network with mean square error minimization and boundary size minimization for one-class classification","author":"moya","year":"1991","journal-title":"Univ New Mex"},{"key":"ref20","article-title":"A revisit to support vector data description (SVDD)","author":"chang","year":"2010"},{"key":"ref22","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","volume":"1","author":"macqueen","year":"1967","journal-title":"Proc 5th Berkeley Symp Math Stat Probab"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1033211"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014118"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017467"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2196696"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.1000150"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1561\/2400000003"},{"key":"ref51","first-page":"2491","article-title":"SimpleMKL","volume":"9","author":"rakotomamonjy","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref54","first-page":"895","article-title":"An off-the-shelf approach to authorship attribution","author":"nasir","year":"2014","journal-title":"Proc Int Conf on Computational Linguistics (COLING)"},{"key":"ref53","first-page":"997","article-title":"Efficient and accurate Lp-norm multiple kernel learning","author":"kloft","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref52","first-page":"953","article-title":"Lp-norm multiple kernel learning","volume":"12","author":"kloft","year":"2011","journal-title":"J Mach Lear Res"},{"key":"ref10","first-page":"817","article-title":"Consistency and convergence rates of one-class SVMs and related algorithms","volume":"7","author":"vert","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref11","first-page":"407","article-title":"Active and semi-supervised data domain description","author":"g\u00f6rnitz","year":"2009","journal-title":"Proc ECML"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2009.87"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1613\/jair.3623"},{"key":"ref13","first-page":"218","article-title":"Learning from positive and unlabeled examples with different data distributions","author":"li","year":"2005","journal-title":"Proc ECML"},{"key":"ref14","first-page":"293","article-title":"Learning and evaluation in presence of Non-i.i.d. Label noise","volume":"33","author":"g\u00f6rnitz","year":"2014","journal-title":"Proc 14th Int Conf Artif Intell Statist (AISTATS)"},{"key":"ref15","first-page":"1833","article-title":"Hidden Markov anomaly detection","author":"g\u00f6rnitz","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref16","first-page":"125","article-title":"Support vector clustering","volume":"2","author":"ben-hur","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-17534-3_17"},{"key":"ref18","article-title":"A minimum enclosing balls labeling method for support vector clustering","author":"chang","year":"2007"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2011.01.007"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6396-2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref5","article-title":"Estimating the support of a high-dimensional distribution","author":"sch\u00f6lkopf","year":"1999"},{"key":"ref8","first-page":"251","article-title":"Data domain description using support vectors","volume":"256","author":"tax","year":"1999","journal-title":"Proc Eur Symp Artif Neural Netw"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000008084.60811.49"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref9","first-page":"216","article-title":"One-class support vector machines and density estimation: The precise relation","volume":"9","author":"mu\u00f1oz","year":"2004","journal-title":"Iberoamerican Congress on Pattern Recognition—CIARP"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5111-0"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1023\/A:1021765131316"},{"key":"ref48","first-page":"1453","article-title":"Large margin methods for structured and interdependent output variables","volume":"6","author":"tsochantaridis","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/5.18626"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.05.078"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1162\/08997660360581958"},{"key":"ref43","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","author":"ng","year":"2002","journal-title":"Proc NIPS"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8440865\/08052229.pdf?arnumber=8052229","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T15:31:03Z","timestamp":1643211063000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8052229\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":54,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2017.2737941","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9]]}}}