{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T09:07:18Z","timestamp":1784279238585,"version":"3.55.0"},"reference-count":41,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62472064"],"award-info":[{"award-number":["62472064"]}],"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":["62476038"],"award-info":[{"award-number":["62476038"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.patcog.2026.113708","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T19:21:44Z","timestamp":1776108104000},"page":"113708","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PC","title":["Adversarial fair multi-view clustering"],"prefix":"10.1016","volume":"179","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9474-8375","authenticated-orcid":false,"given":"Mudi","family":"Jiang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiahui","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lianyu","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinying","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zengyou","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhikui","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"12","key":"10.1016\/j.patcog.2026.113708_b1","doi-asserted-by":"crossref","first-page":"12350","DOI":"10.1109\/TKDE.2023.3270311","article-title":"A comprehensive survey on multi-view clustering","volume":"35","author":"Fang","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2026.113708_b2","doi-asserted-by":"crossref","first-page":"130698","DOI":"10.1109\/ACCESS.2021.3114099","article-title":"An overview of fairness in clustering","volume":"9","author":"Chhabra","year":"2021","journal-title":"IEEE Access"},{"key":"10.1016\/j.patcog.2026.113708_b3","doi-asserted-by":"crossref","first-page":"1297","DOI":"10.2307\/1072940","article-title":"Disparate impact under title VII: an objective theory of discrimination","volume":"73","author":"Rutherglen","year":"1987","journal-title":"Va. Law Rev."},{"key":"10.1016\/j.patcog.2026.113708_b4","series-title":"Proceedings of the 2023 SIAM International Conference on Data Mining","first-page":"856","article-title":"Fairness-aware multi-view clustering","author":"Zheng","year":"2023"},{"key":"10.1016\/j.patcog.2026.113708_b5","doi-asserted-by":"crossref","unstructured":"B. Zhao, Q. Wang, Z. Tao, W. Feng, Q. Gao, DFMVC: Deep Fair Multi-view Clustering, in: Proceedings of the 32nd ACM International Conference on Multimedia, 2024, pp. 8090\u20138099.","DOI":"10.1145\/3664647.3681099"},{"key":"10.1016\/j.patcog.2026.113708_b6","doi-asserted-by":"crossref","unstructured":"R. Li, H. Hu, L. Du, J. Chen, B. Jiang, P. Zhou, One-Stage Fair Multi-View Spectral Clustering, in: Proceedings of the 32nd ACM International Conference on Multimedia, 2024, pp. 1407\u20131416.","DOI":"10.1145\/3664647.3681162"},{"issue":"10","key":"10.1016\/j.patcog.2026.113708_b7","doi-asserted-by":"crossref","first-page":"7635","DOI":"10.1109\/TNNLS.2022.3145048","article-title":"Adversarial multiview clustering networks with adaptive fusion","volume":"34","author":"Wang","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.patcog.2026.113708_b8","doi-asserted-by":"crossref","first-page":"2461","DOI":"10.1109\/TMM.2021.3081930","article-title":"Consensus graph learning for multi-view clustering","volume":"24","author":"Li","year":"2021","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.113708_b9","doi-asserted-by":"crossref","unstructured":"R. Li, C. Zhang, Q. Hu, P. Zhu, Z. Wang, Flexible Multi-View Representation Learning for Subspace Clustering, in: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019, pp. 2916\u20132922.","DOI":"10.24963\/ijcai.2019\/404"},{"issue":"6","key":"10.1016\/j.patcog.2026.113708_b10","doi-asserted-by":"crossref","first-page":"3249","DOI":"10.1109\/TCYB.2020.2984552","article-title":"Uniform distribution non-negative matrix factorization for multiview clustering","volume":"51","author":"Yang","year":"2020","journal-title":"IEEE Trans. Cybern."},{"issue":"8","key":"10.1016\/j.patcog.2026.113708_b11","doi-asserted-by":"crossref","first-page":"9552","DOI":"10.1109\/TPAMI.2023.3253211","article-title":"Contrastive multi-view kernel learning","volume":"45","author":"Liu","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.113708_b12","doi-asserted-by":"crossref","unstructured":"Z. Li, Q. Wang, Z. Tao, Q. Gao, Z. Yang, Deep adversarial multi-view clustering network, in: Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019, pp. 2952\u20132958.","DOI":"10.24963\/ijcai.2019\/409"},{"key":"10.1016\/j.patcog.2026.113708_b13","doi-asserted-by":"crossref","unstructured":"Q. Gao, H. Lian, Q. Wang, G. Sun, Cross-modal subspace clustering via deep canonical correlation analysis, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34, 2020, pp. 3938\u20133945.","DOI":"10.1609\/aaai.v34i04.5808"},{"key":"10.1016\/j.patcog.2026.113708_b14","doi-asserted-by":"crossref","unstructured":"D.J. Trosten, S. Lokse, R. Jenssen, M. Kampffmeyer, Reconsidering representation alignment for multi-view clustering, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 1255\u20131265.","DOI":"10.1109\/CVPR46437.2021.00131"},{"key":"10.1016\/j.patcog.2026.113708_b15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TIP.2021.3128325","article-title":"Semi-supervised structured subspace learning for multi-view clustering","volume":"31","author":"Qin","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.113708_b16","unstructured":"J. Xie, R. Girshick, A. Farhadi, Unsupervised Deep Embedding for Clustering Analysis, in: Proceedings of the 33rd International Conference on Machine Learning, Vol. 48, 2016, pp. 478\u2013487."},{"issue":"11","key":"10.1016\/j.patcog.2026.113708_b17","doi-asserted-by":"crossref","first-page":"3594","DOI":"10.1109\/TKDE.2020.2973981","article-title":"Joint deep multi-view learning for image clustering","volume":"33","author":"Xie","year":"2021","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2026.113708_b18","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.ins.2020.12.073","article-title":"Deep embedded multi-view clustering with collaborative training","volume":"573","author":"Xu","year":"2021","journal-title":"Inform. Sci."},{"key":"10.1016\/j.patcog.2026.113708_b19","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109764","article-title":"Auto-attention mechanism for multi-view deep embedding clustering","volume":"143","author":"Diallo","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113708_b20","doi-asserted-by":"crossref","unstructured":"R. Zhou, Y.-D. Shen, End-to-end adversarial-attention network for multi-modal clustering, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 14619\u201314628.","DOI":"10.1109\/CVPR42600.2020.01463"},{"key":"10.1016\/j.patcog.2026.113708_b21","unstructured":"C. Jung, S. Kannan, N. Lutz, Service in Your Neighborhood: Fairness in Center Location, in: 1st Symposium on Foundations of Responsible Computing, Vol. 156, 2020, pp. 5:1\u20135:15."},{"key":"10.1016\/j.patcog.2026.113708_b22","series-title":"Proceedings of the 37th International Conference on Machine Learning","first-page":"6586","article-title":"Individual fairness for k-clustering","volume":"Vol. 119","author":"Mahabadi","year":"2020"},{"key":"10.1016\/j.patcog.2026.113708_b23","series-title":"Proceedings of the 25th International Conference on Artificial Intelligence and Statistics","first-page":"8758","article-title":"Improved approximation algorithms for individually fair clustering","volume":"Vol. 151","author":"Vakilian","year":"2022"},{"key":"10.1016\/j.patcog.2026.113708_b24","series-title":"Proceedings of the 27th International Conference on Artificial Intelligence and Statistics","first-page":"3151","article-title":"A scalable algorithm for individually fair k-means clustering","volume":"Vol. 238","author":"Bateni","year":"2024"},{"key":"10.1016\/j.patcog.2026.113708_b25","unstructured":"S. Ahmadian, A. Epasto, M. Knittel, R. Kumar, M. Mahdian, B. Moseley, P. Pham, S. Vassilvitskii, Y. Wang, Fair Hierarchical Clustering, in: Advances in Neural Information Processing Systems, Vol. 33, 2020, pp. 21050\u201321060."},{"key":"10.1016\/j.patcog.2026.113708_b26","doi-asserted-by":"crossref","unstructured":"M. Schmidt, C. Schwiegelshohn, C. Sohler, Fair coresets and streaming algorithms for fair k-means, in: Approximation and Online Algorithms, 2020, pp. 232\u2013251.","DOI":"10.1007\/978-3-030-39479-0_16"},{"key":"10.1016\/j.patcog.2026.113708_b27","series-title":"Proceedings of the Algorithmic Fairness Through the Lens of Causality and Robustness","first-page":"19","article-title":"Fair clustering using antidote data","volume":"Vol. 171","author":"Chhabra","year":"2022"},{"key":"10.1016\/j.patcog.2026.113708_b28","series-title":"International Conference on Machine Learning","first-page":"3458","article-title":"Guarantees for spectral clustering with fairness constraints","author":"Kleindessner","year":"2019"},{"key":"10.1016\/j.patcog.2026.113708_b29","series-title":"Deep fair discriminative clustering","author":"Zhang","year":"2021"},{"key":"10.1016\/j.patcog.2026.113708_b30","series-title":"International Conference on Machine Learning","first-page":"3448","article-title":"Fair k-center clustering for data summarization","author":"Kleindessner","year":"2019"},{"key":"10.1016\/j.patcog.2026.113708_b31","series-title":"Information Theory: Coding Theorems for Discrete Memoryless Systems","author":"Csisz\u00e1r","year":"2011"},{"issue":"3","key":"10.1016\/j.patcog.2026.113708_b32","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1134\/S0032946008030022","article-title":"Mutual information, variation, and Fano\u2019s inequality","volume":"44","author":"Prelov","year":"2008","journal-title":"Probl. Inf. Transm."},{"key":"10.1016\/j.patcog.2026.113708_b33","series-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics","first-page":"962","article-title":"Fairness constraints: Mechanisms for fair classification","volume":"vol. 54","author":"Zafar","year":"2017"},{"issue":"4","key":"10.1016\/j.patcog.2026.113708_b34","doi-asserted-by":"crossref","first-page":"5914","DOI":"10.1109\/TII.2023.3342888","article-title":"Balanced fair K-Means clustering","volume":"20","author":"Pan","year":"2023","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.patcog.2026.113708_b35","doi-asserted-by":"crossref","unstructured":"I.M. Ziko, J. Yuan, E. Granger, I.B. Ayed, Variational fair clustering, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 35, 2021, pp. 11202\u201311209.","DOI":"10.1609\/aaai.v35i12.17336"},{"issue":"13","key":"10.1016\/j.patcog.2026.113708_b36","doi-asserted-by":"crossref","first-page":"2969","DOI":"10.3390\/electronics12132969","article-title":"Fairness first clustering: A multi-stage approach for mitigating bias","volume":"12","author":"Pan","year":"2023","journal-title":"Electronics"},{"key":"10.1016\/j.patcog.2026.113708_b37","unstructured":"L. Krieger, A. Beer, P. Matthews, A.M. Thiesson, I. Assent, FairDen: Fair Density-Based Clustering, in: Proceedings of the 13th International Conference on Learning Representations, 2025."},{"issue":"2","key":"10.1016\/j.patcog.2026.113708_b38","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1007\/s00521-023-09054-2","article-title":"Consider high-order consistency for multi-view clustering","volume":"36","author":"You","year":"2024","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.patcog.2026.113708_b39","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110420","article-title":"Multi-view clustering via pseudo-label guide learning and latent graph structure recovery","volume":"151","author":"Cai","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113708_b40","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2024.102785","article-title":"Multi-layer multi-level comprehensive learning for deep multi-view clustering","volume":"116","author":"Chen","year":"2025","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.patcog.2026.113708_b41","series-title":"Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization","author":"Sagawa","year":"2019"}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326006734?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326006734?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T08:40:00Z","timestamp":1784277600000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326006734"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":41,"alternative-id":["S0031320326006734"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113708","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Adversarial fair multi-view clustering","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113708","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"113708"}}