{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T13:40:24Z","timestamp":1762609224553,"version":"3.37.3"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFE0112200"],"award-info":[{"award-number":["2022YFE0112200"]}]},{"name":"Key-Area Research and Development of Guangdong Province","award":["2022A0505050014","2020B1111190001"],"award-info":[{"award-number":["2022A0505050014","2020B1111190001"]}]},{"name":"Key-Area Research and Development Program of Guangzhou City","award":["202206030009"],"award-info":[{"award-number":["202206030009"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20520","62172112","62102153"],"award-info":[{"award-number":["U21A20520","62172112","62102153"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Guangdong Province of China","award":["2022A1515011162"],"award-info":[{"award-number":["2022A1515011162"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2021M691062"],"award-info":[{"award-number":["2021M691062"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2023,10,1]]},"DOI":"10.1109\/tkde.2023.3253244","type":"journal-article","created":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T18:45:44Z","timestamp":1678128344000},"page":"10397-10410","source":"Crossref","is-referenced-by-count":10,"title":["Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8006-7659","authenticated-orcid":false,"given":"Yu","family":"Hu","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]},{"given":"Endai","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]},{"given":"Zhi","family":"Xie","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9066-1475","authenticated-orcid":false,"given":"Xinwang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer, National University of Defense Technology, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2747-7234","authenticated-orcid":false,"given":"Hongmin","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref13","first-page":"443","article-title":"Fast multi-view clustering via prototype graph","volume":"35","author":"shi","year":"2021","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3026686"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10909"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2453162"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2913377"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2499200"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.01.033"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3086153"},{"key":"ref53","first-page":"5092","article-title":"COMIC: Multi-view clustering without parameter selection","author":"peng","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref52","first-page":"393","article-title":"A co-training approach for multi-view spectral clustering","author":"kumar","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/357"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2887094"},{"key":"ref10","first-page":"3111","article-title":"Bipartite graph based multi-view clustering","volume":"34","author":"li","year":"2022","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2847335"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10302"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.482"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105102"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903810"},{"key":"ref51","first-page":"1881","article-title":"Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi-supervised classification","author":"nie","year":"2016","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.148"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00562"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-016-9021-9"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479895290954"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1137\/0105003"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2226167"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298657"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/1291233.1291431"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/16M1103099"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298655"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3068461"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8257989"},{"key":"ref9","first-page":"3405","article-title":"Multi-view consensus proximity learning for clustering","volume":"34","author":"liu","year":"2022","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref4","first-page":"3418","article-title":"Multi-view spectral clustering with high-order optimal neighborhood laplacian matrix","volume":"34","author":"liang","year":"2022","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3172687"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876327"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3151861"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2811810"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8950"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.218"},{"key":"ref37","first-page":"1413","article-title":"Co-regularized multi-view spectral clustering","author":"kumar","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972788.74"},{"key":"ref31","first-page":"1191","article-title":"Multiple kernel k-means with incomplete kernels","volume":"42","author":"liu","year":"2020","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2353625"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2009.2039566"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2603983"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2983366"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2973981"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2217329"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/11566465_15"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.20965"},{"key":"ref23","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","author":"ng","year":"2002","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.07.059"},{"key":"ref25","first-page":"3569","article-title":"A new simplex sparse learning model to measure data similarity for clustering","author":"huang","year":"2015","journal-title":"Proc 24th Int Conf Artif Intell"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/375"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.10.010"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06071-x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206806"},{"key":"ref27","first-page":"1583","article-title":"Spherical-homoscedastic distributions: The equivalency of spherical and normal distributions in classification","volume":"8","author":"hamsici","year":"2007","journal-title":"J Mach Learn Res"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3029063"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2885585"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10251471\/10061330.pdf?arnumber=10061330","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T18:07:26Z","timestamp":1696270046000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10061330\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,1]]},"references-count":60,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2023.3253244","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"type":"print","value":"1041-4347"},{"type":"electronic","value":"1558-2191"},{"type":"electronic","value":"2326-3865"}],"subject":[],"published":{"date-parts":[[2023,10,1]]}}}