{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T10:40:13Z","timestamp":1777718413652,"version":"3.51.4"},"reference-count":10,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672528"],"award-info":[{"award-number":["61672528"]}],"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":["61403405"],"award-info":[{"award-number":["61403405"]}],"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":["61672528"],"award-info":[{"award-number":["61672528"]}],"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":["61403405"],"award-info":[{"award-number":["61403405"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Multiview clustering aims to improve clustering performance through optimal integration of information from multiple views. Though demonstrating promising performance in various applications, existing multiview clustering algorithms cannot effectively handle the view\u2019s incompleteness. Recently, one pioneering work was proposed that handled this issue by integrating multiview clustering and imputation into a unified learning framework. While its framework is elegant, we observe that it overlooks the consistency between views, which leads to a reduction in the clustering performance. In order to address this issue, we propose a new unified learning method for incomplete multiview clustering, which simultaneously imputes the incomplete views and learns a consistent clustering result with explicit modeling of between-view consistency. More specifically, the similarity between each view\u2019s clustering result and the consistent clustering result is measured. The consistency between views is then modeled using the sum of these similarities. Incomplete views are imputed to achieve an optimal clustering result in each view, while maintaining between-view consistency. Extensive comparisons with state-of-the-art methods on both synthetic and real-world incomplete multiview datasets validate the superiority of the proposed method.<\/jats:p>","DOI":"10.1155\/2017\/3961718","type":"journal-article","created":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T12:18:29Z","timestamp":1508761109000},"page":"1-11","source":"Crossref","is-referenced-by-count":16,"title":["Consensus Kernel <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mrow><mml:mi>K<\/mml:mi><\/mml:mrow><\/mml:math>-Means Clustering for Incomplete Multiview Data"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2945-2065","authenticated-orcid":true,"given":"Yongkai","family":"Ye","sequence":"first","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinwang","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2922-3518","authenticated-orcid":true,"given":"Qiang","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianping","family":"Yin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-013-1362-6"},{"key":"3","first-page":"1413","volume-title":"Co-regularized multi-view spectral clustering","year":"2011"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.01.017"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.06.035"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.05.064"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.05.005"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-014-0307-6"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2490539"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2316512"},{"key":"21","first-page":"795","volume":"13","year":"2012","journal-title":"Journal of Machine Learning Research"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2017\/3961718.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2017\/3961718.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2017\/3961718.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T12:18:36Z","timestamp":1508761116000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cin\/2017\/3961718\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":10,"alternative-id":["3961718","3961718"],"URL":"https:\/\/doi.org\/10.1155\/2017\/3961718","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}