{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T16:30:11Z","timestamp":1782318611825,"version":"3.54.5"},"reference-count":46,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100011319","name":"Jianghan University","doi-asserted-by":"publisher","award":["2025JCYJ03"],"award-info":[{"award-number":["2025JCYJ03"]}],"id":[{"id":"10.13039\/501100011319","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62405115"],"award-info":[{"award-number":["62405115"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province","doi-asserted-by":"publisher","award":["JCZRLH202500087"],"award-info":[{"award-number":["JCZRLH202500087"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.ins.2026.123465","type":"journal-article","created":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T15:07:47Z","timestamp":1775315267000},"page":"123465","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Bayesian-inspired non-negative matrix factorization with label propagation for multi-view clustering"],"prefix":"10.1016","volume":"747","author":[{"given":"Yipeng","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruiyang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0903-8801","authenticated-orcid":false,"given":"Songtao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"7","key":"10.1016\/j.ins.2026.123465_bib0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3645108","article-title":"A survey and an empirical evaluation of multi-view clustering approaches","volume":"56","author":"Zhou","year":"2024","journal-title":"ACM Comput. Surv."},{"key":"10.1016\/j.ins.2026.123465_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111793","article-title":"Adaptive weighted ensemble clustering via kernel learning and local information preservation","volume":"294","author":"Li","year":"2024","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.ins.2026.123465_bib0015","series-title":"Proceedings of the Computer Vision and Pattern Recognition Conference","first-page":"20727","article-title":"Large-scale multi-view tensor clustering with implicit linear kernels","author":"Liu","year":"2025"},{"issue":"9","key":"10.1016\/j.ins.2026.123465_bib0020","doi-asserted-by":"crossref","first-page":"8976","DOI":"10.1109\/TCYB.2021.3061660","article-title":"Structured graph learning for scalable subspace clustering: from single view to multiview","volume":"52","author":"Kang","year":"2021","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.ins.2026.123465_bib0025","first-page":"18186","article-title":"Orthogonal non-negative tensor factorization based multi-view clustering","volume":"36","author":"Li","year":"2023","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.ins.2026.123465_bib0030","doi-asserted-by":"crossref","first-page":"4203","DOI":"10.1109\/TIP.2025.3583122","article-title":"Multi-view clustering with incremental instances and views","volume":"34","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Image Process."},{"issue":"6755","key":"10.1016\/j.ins.2026.123465_bib0035","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","article-title":"Learning the parts of objects by non-negative matrix factorization","volume":"401","author":"Lee","year":"1999","journal-title":"Nature"},{"key":"10.1016\/j.ins.2026.123465_bib0040","series-title":"Proceedings of the 2013 SIAM International Conference on Data Mining","first-page":"252","article-title":"Multi-view clustering via joint nonnegative matrix factorization","author":"Liu","year":"2013"},{"key":"10.1016\/j.ins.2026.123465_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.108815","article-title":"Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering","volume":"131","author":"Luong","year":"2022","journal-title":"Pattern Recognit."},{"issue":"8","key":"10.1016\/j.ins.2026.123465_bib0050","first-page":"1548","article-title":"Graph regularized nonnegative matrix factorization for data representation","volume":"33","author":"Cai","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"10.1016\/j.ins.2026.123465_bib0055","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1109\/TPAMI.2011.217","article-title":"Constrained nonnegative matrix factorization for image representation","volume":"34","author":"Liu","year":"2011","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.ins.2026.123465_bib0060","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.1016\/j.neucom.2014.07.031","article-title":"Label propagation based semi-supervised non-negative matrix factorization for feature extraction","volume":"149","author":"Yi","year":"2015","journal-title":"Neurocomputing"},{"issue":"2","key":"10.1016\/j.ins.2026.123465_bib0065","doi-asserted-by":"crossref","first-page":"1817","DOI":"10.1109\/TETCI.2024.3451352","article-title":"Robust hypergraph regularized deep non-negative matrix factorization for multi-view clustering","volume":"9","author":"Che","year":"2025","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"10.1016\/j.ins.2026.123465_bib0070","first-page":"23","article-title":"Auto-weighted multi-view deep non-negative matrix factorization with multi-kernel learning","volume":"11","author":"Yang","year":"2025","journal-title":"IEEE Trans. Signal Inf. Process. Netw."},{"issue":"3","key":"10.1016\/j.ins.2026.123465_bib0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104081","article-title":"Deep multi-view subspace clustering via hierarchical diversity optimization of consensus learning","volume":"62","author":"Chen","year":"2025","journal-title":"Inf. Process. Manag."},{"issue":"8","key":"10.1016\/j.ins.2026.123465_bib0080","doi-asserted-by":"crossref","first-page":"3517","DOI":"10.1109\/TCYB.2019.2918495","article-title":"Dual shared-specific multiview subspace clustering","volume":"50","author":"Zhou","year":"2019","journal-title":"IEEE Trans. Cybern."},{"issue":"8","key":"10.1016\/j.ins.2026.123465_bib0085","doi-asserted-by":"crossref","first-page":"2265","DOI":"10.1007\/s11263-020-01331-0","article-title":"Weakly-supervised semantic guided hashing for social image retrieval","volume":"128","author":"Li","year":"2020","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.ins.2026.123465_bib0090","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"1255","article-title":"Reconsidering representation alignment for multi-view clustering","author":"Trosten","year":"2021"},{"key":"10.1016\/j.ins.2026.123465_bib0095","first-page":"2148","article-title":"Multi-view contrastive graph clustering","volume":"34","author":"Pan","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.ins.2026.123465_bib0100","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.neucom.2019.11.104","article-title":"Self-paced and auto-weighted multi-view clustering","volume":"383","author":"Ren","year":"2020","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ins.2026.123465_bib0105","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.neunet.2021.02.022","article-title":"Dual self-paced multi-view clustering","volume":"140","author":"Huang","year":"2021","journal-title":"Neural Netw."},{"key":"10.1016\/j.ins.2026.123465_bib0110","doi-asserted-by":"crossref","first-page":"4261","DOI":"10.1109\/TIP.2024.3419414","article-title":"Multiple Riemannian kernel hashing for large-scale image set classification and retrieval","volume":"33","author":"Shen","year":"2024","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"10.1016\/j.ins.2026.123465_bib0115","doi-asserted-by":"crossref","first-page":"11168","DOI":"10.1109\/TNNLS.2023.3249207","article-title":"Ensemble clustering via co-association matrix self-enhancement","volume":"35","author":"Jia","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"12","key":"10.1016\/j.ins.2026.123465_bib0120","doi-asserted-by":"crossref","first-page":"8837","DOI":"10.1109\/TCSVT.2022.3197849","article-title":"Unsupervised multiview distributed hashing for large-scale retrieval","volume":"32","author":"Shen","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.ins.2026.123465_bib0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110933","article-title":"Semi-supervised pivotal-aware nonnegative matrix factorization with label and pairwise constraint propagation for data clustering","volume":"157","author":"Yang","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.ins.2026.123465_bib0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.109274","article-title":"Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering","volume":"137","author":"Yin","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.ins.2026.123465_bib0135","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107244","article-title":"Semi-supervised multi-view learning by using label propagation based non-negative matrix factorization","volume":"228","author":"Liang","year":"2021","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.ins.2026.123465_bib0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.108196","article-title":"Semi-supervised nonnegative matrix factorization with label propagation and constraint propagation","volume":"133","author":"Mo","year":"2024","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.ins.2026.123465_bib0145","series-title":"Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"650","article-title":"Relational learning via collective matrix factorization","author":"Singh","year":"2008"},{"key":"10.1016\/j.ins.2026.123465_bib0150","doi-asserted-by":"crossref","first-page":"1529","DOI":"10.1109\/TIP.2025.3526380","article-title":"Optimal graph learning-based label propagation for cross-domain image classification","volume":"34","author":"Wang","year":"2025","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.ins.2026.123465_bib0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.116276","article-title":"Multi granularity based label propagation with active learning for semi-supervised classification","volume":"192","author":"Hu","year":"2022","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ins.2026.123465_bib0160","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3097","article-title":"Corrmatch: label propagation via correlation matching for semi-supervised semantic segmentation","author":"Sun","year":"2024"},{"issue":"6","key":"10.1016\/j.ins.2026.123465_bib0165","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1007\/s10994-021-05975-y","article-title":"Graph-based semi-supervised learning via improving the quality of the graph dynamically","volume":"110","author":"Liang","year":"2021","journal-title":"Mach. Learn."},{"key":"10.1016\/j.ins.2026.123465_bib0170","doi-asserted-by":"crossref","first-page":"2039","DOI":"10.1109\/TSP.2025.3559568","article-title":"Robust Bayesian optimization via localized online conformal prediction","volume":"73","author":"Kim","year":"2025","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.ins.2026.123465_bib0175","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125618","article-title":"Competitive multi-task Bayesian optimization with an application in hyperparameter tuning of additive manufacturing","volume":"262","author":"Wang","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ins.2026.123465_bib0180","series-title":"Summer School on Machine Learning","first-page":"63","article-title":"Gaussian processes in machine learning","author":"Rasmussen","year":"2003"},{"issue":"4","key":"10.1016\/j.ins.2026.123465_bib0185","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1023\/A:1008306431147","article-title":"Efficient global optimization of expensive black-box functions","volume":"13","author":"Jones","year":"1998","journal-title":"J. Glob. Optim."},{"key":"10.1016\/j.ins.2026.123465_bib0190","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.110597","article-title":"Optimizing machine learning algorithms for fault classification in rolling bearings: a Bayesian optimization approach","volume":"150","author":"Yousaf","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"11","key":"10.1016\/j.ins.2026.123465_bib0195","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1007\/s11263-018-1086-2","article-title":"On unifying multi-view self-representations for clustering by tensor multi-rank minimization","volume":"126","author":"Xie","year":"2018","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.ins.2026.123465_bib0200","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"5924","article-title":"Cgd: multi-view clustering via cross-view graph diffusion","volume":"vol. 34","author":"Tang","year":"2020"},{"key":"10.1016\/j.ins.2026.123465_bib0205","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"4412","article-title":"Large-scale multi-view subspace clustering in linear time","volume":"vol. 34","author":"Kang","year":"2020"},{"key":"10.1016\/j.ins.2026.123465_bib0210","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"3930","article-title":"Tensor-svd based graph learning for multi-view subspace clustering","volume":"vol. 34","author":"Gao","year":"2020"},{"issue":"12","key":"10.1016\/j.ins.2026.123465_bib0215","doi-asserted-by":"crossref","first-page":"5869","DOI":"10.1109\/TKDE.2021.3068461","article-title":"Measuring diversity in graph learning: a unified framework for structured multi-view clustering","volume":"34","author":"Huang","year":"2021","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"7","key":"10.1016\/j.ins.2026.123465_bib0220","doi-asserted-by":"crossref","first-page":"2496","DOI":"10.1109\/TPAMI.2020.2973634","article-title":"Semi-supervised multi-view deep discriminant representation learning","volume":"43","author":"Jia","year":"2020","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.ins.2026.123465_bib0225","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.121859","article-title":"Multi-view data representation via adaptive label propagation nonnegative matrix factorization","volume":"700","author":"Li","year":"2025","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2026.123465_bib0230","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.114357","article-title":"Dual constraint based semi-supervised nonnegative matrix factorization for multi-view clustering","author":"Peng","year":"2025","journal-title":"Knowl.-based Syst."}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526003968?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526003968?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T04:25:07Z","timestamp":1778819107000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025526003968"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":46,"alternative-id":["S0020025526003968"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2026.123465","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Bayesian-inspired non-negative matrix factorization with label propagation for multi-view clustering","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ins.2026.123465","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"123465"}}