{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T10:39:31Z","timestamp":1774435171748,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62325604"],"award-info":[{"award-number":["62325604"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62276271"],"award-info":[{"award-number":["62276271"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62306324"],"award-info":[{"award-number":["62306324"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376279"],"award-info":[{"award-number":["62376279"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/tpami.2024.3387433","type":"journal-article","created":{"date-parts":[[2024,4,11]],"date-time":"2024-04-11T18:58:05Z","timestamp":1712861885000},"page":"6935-6947","source":"Crossref","is-referenced-by-count":13,"title":["On the Consistency and Large-Scale Extension of Multiple Kernel Clustering"],"prefix":"10.1109","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1868-5445","authenticated-orcid":false,"given":"Weixuan","family":"Liang","sequence":"first","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6515-7696","authenticated-orcid":false,"given":"Chang","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Computer Science, China University of Geosciences, Wuhan, Hubei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9066-1475","authenticated-orcid":false,"given":"Xinwang","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6739-621X","authenticated-orcid":false,"given":"Yong","family":"Liu","sequence":"additional","affiliation":[{"name":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5702-4941","authenticated-orcid":false,"given":"Jiyuan","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Systems Engineering, National University of Defense Technology, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2305-7555","authenticated-orcid":false,"given":"En","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3335-5700","authenticated-orcid":false,"given":"Kunlun","family":"He","sequence":"additional","affiliation":[{"name":"Medical Big Data Research Center, Chinese PLA General Hospital, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000677"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972795.55"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.06.017"},{"key":"ref4","first-page":"4105","article-title":"Recovery of corrupted multiple kernels for clustering","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Zhou"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2011.2170175"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10249"},{"key":"ref7","first-page":"3476","article-title":"Robust multiple kernel k-means using l21-norm","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Du"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3198638"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3116948"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00916"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3233635"},{"key":"ref12","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","volume":"14","author":"Ng","year":"2001","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176345339"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000640"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2016.09.003"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2010.09.002"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1214\/12-EJS668"},{"key":"ref18","first-page":"2891","article-title":"Robust k-means: A theoretical revisit","volume":"29","author":"Georgogiannis","year":"2016","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1214\/16-AOS1453"},{"issue":"30\/56","key":"ref20","first-page":"1","article-title":"Analysis of spectral clustering algorithms for community detection: The general bipartite setting","volume":"20","author":"Amini","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3217137"},{"key":"ref22","first-page":"1305","article-title":"Localized data fusion for kernel k-means clustering with application to cancer biology","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"G\u00f6nen"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.vehcom.2021.100332"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2124455"},{"key":"ref25","first-page":"20 650","article-title":"Consistency of multiple kernel clustering","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","author":"Liang"},{"key":"ref26","volume-title":"Introduction to algorithms","author":"Cormen","year":"2022"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557690"},{"key":"ref28","first-page":"177","article-title":"Out-of-sample extensions for LLE, isomap, MDS, eigenmaps, and spectral clustering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bengio"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1137\/0114053"},{"key":"ref30","volume-title":"Matrix Perturbation Theory","author":"Stewart","year":"1990"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11075-016-0102-2"},{"issue":"142","key":"ref32","first-page":"1","article-title":"A perturbation-based kernel approximation framework","volume":"23","author":"Mitz","year":"2022","journal-title":"J. Mach. Learn. Res."},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2007.913516"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2010.2069250"},{"key":"ref35","first-page":"3836","article-title":"Recursive sampling for the Nystr\u00f6m method","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Musco"},{"key":"ref36","first-page":"3977","article-title":"Revisiting the Nystr\u00f6m method for improved large-scale machine learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gittens"},{"key":"ref37","first-page":"981","article-title":"Sampling methods for the Nystr\u00f6m method","volume":"13","author":"Kumar","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref38","first-page":"6142","article-title":"Refined learning bounds for kernel and approximate k-means","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref39","first-page":"6392","article-title":"Sharper generalization bounds for clustering","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref40","first-page":"3475","article-title":"Fast approximation of matrix coherence and statistical leverage","volume":"13","author":"Drineas","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref41","first-page":"369","article-title":"Faster ridge regression via the subsampled randomized Hadamard transform","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lu"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3019134"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10666888\/10496870.pdf?arnumber=10496870","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T04:45:12Z","timestamp":1725684312000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10496870\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":42,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2024.3387433","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":[[2024,10]]}}}