{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T19:37:26Z","timestamp":1768073846234,"version":"3.49.0"},"reference-count":41,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"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":["61973137"],"award-info":[{"award-number":["61973137"]}],"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":[[2024,11]]},"DOI":"10.1016\/j.patcog.2024.110706","type":"journal-article","created":{"date-parts":[[2024,6,22]],"date-time":"2024-06-22T04:55:27Z","timestamp":1719032127000},"page":"110706","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":3,"special_numbering":"C","title":["View-unaligned clustering with graph regularization"],"prefix":"10.1016","volume":"155","author":[{"given":"Junfeng","family":"Cao","sequence":"first","affiliation":[]},{"given":"Wenhua","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Chen","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2024.110706_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.techfore.2021.120971","article-title":"Technology mining: Artificial intelligence in manufacturing","volume":"171","author":"Zeba","year":"2021","journal-title":"Technol. Forecast. Soc. Change"},{"issue":"1","key":"10.1016\/j.patcog.2024.110706_b2","doi-asserted-by":"crossref","first-page":"51","DOI":"10.55730\/1300-0632.4055","article-title":"Artificial intelligence-based evaluation of the factors affecting the sales of an iron and steel company","volume":"32","author":"Pekkaya","year":"2024","journal-title":"Turk. J. Electr. Eng. Comput. Sci."},{"issue":"48","key":"10.1016\/j.patcog.2024.110706_b3","doi-asserted-by":"crossref","first-page":"4688","DOI":"10.17485\/IJST\/v16i48.2850","article-title":"Streamlit application for advanced ensemble learning methods in crop recommendation systems\u2013a review and implementation","volume":"16","author":"Akkem","year":"2023","journal-title":"Indian J. Sci. Technol."},{"key":"10.1016\/j.patcog.2024.110706_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.107881","article-title":"A comprehensive review of synthetic data generation in smart farming by using variational autoencoder and generative adversarial network","volume":"131","author":"Akkem","year":"2024","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"7956","key":"10.1016\/j.patcog.2024.110706_b5","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1038\/s41586-023-05881-4","article-title":"Foundation models for generalist medical artificial intelligence","volume":"616","author":"Moor","year":"2023","journal-title":"Nature"},{"issue":"8","key":"10.1016\/j.patcog.2024.110706_b6","doi-asserted-by":"crossref","first-page":"598","DOI":"10.3390\/fractalfract7080598","article-title":"Overcoming nonlinear dynamics in diabetic retinopathy classification: a robust AI-based model with chaotic swarm intelligence optimization and recurrent long short-term memory","volume":"7","author":"\u00d6z\u00e7elik","year":"2023","journal-title":"Fractal Fract."},{"key":"10.1016\/j.patcog.2024.110706_b7","series-title":"ICDM","first-page":"19","article-title":"Multi-view clustering","volume":"Vol. 4","author":"Bickel","year":"2004"},{"issue":"4","key":"10.1016\/j.patcog.2024.110706_b8","doi-asserted-by":"crossref","first-page":"5187","DOI":"10.1109\/TPAMI.2022.3187976","article-title":"Tensorized bipartite graph learning for multi-view clustering","volume":"45","author":"Xia","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2024.110706_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.101832","article-title":"Collaborative structure and feature learning for multi-view clustering","volume":"98","author":"Yan","year":"2023","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.patcog.2024.110706_b10","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.109281","article-title":"Automatically weighted binary multi-view clustering via deep initialization (AW-BMVC)","volume":"137","author":"Houfar","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2024.110706_b11","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.2024.110706_b12","doi-asserted-by":"crossref","unstructured":"G. Chao, Y. Jiang, D. Chu, Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38, 2024, pp. 11221\u201311229.","DOI":"10.1609\/aaai.v38i10.29000"},{"issue":"12","key":"10.1016\/j.patcog.2024.110706_b13","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."},{"issue":"9","key":"10.1016\/j.patcog.2024.110706_b14","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.patcog.2024.110706_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110350","article-title":"Adaptive weighted dictionary representation using anchor graph for subspace clustering","volume":"151","author":"Feng","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2024.110706_b16","doi-asserted-by":"crossref","unstructured":"G. Dongyan, Z. Jian, L. Xinwang, C. Ying, Z. Chunxia, Multiple Kernel Learning Based Multi-view spectral Clustering, in: Proceedings of the Twenty-Second International Conference on Pattern Recognition, Vol. 29, 2014, pp. 3774\u20133779.","DOI":"10.1109\/ICPR.2014.648"},{"key":"10.1016\/j.patcog.2024.110706_b17","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.patcog.2018.11.007","article-title":"Auto-weighted multi-view clustering via kernelized graph learning","volume":"88","author":"Huang","year":"2019","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2024.110706_b18","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.neunet.2017.02.003","article-title":"Multi-view clustering via multi-manifold regularized non-negative matrix factorization","volume":"88","author":"Zong","year":"2017","journal-title":"Neural Netw."},{"key":"10.1016\/j.patcog.2024.110706_b19","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1016\/j.ins.2022.12.063","article-title":"Consensus and complementary regularized non-negative matrix factorization for multi-view image clustering","volume":"623","author":"Li","year":"2023","journal-title":"Inform. Sci."},{"issue":"2","key":"10.1016\/j.patcog.2024.110706_b20","first-page":"1872","article-title":"Multi-view attributed graph clustering","volume":"35","author":"Lin","year":"2021","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2024.110706_b21","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.101947","article-title":"High-order multi-view clustering for generic data","volume":"100","author":"Pan","year":"2023","journal-title":"Inf. Fusion"},{"issue":"1","key":"10.1016\/j.patcog.2024.110706_b22","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1109\/TPAMI.2018.2877660","article-title":"Generalized latent multi-view subspace clustering","volume":"42","author":"Zhang","year":"2018","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2024.110706_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.110082","article-title":"Geometric-inspired graph-based incomplete multi-view clustering","volume":"147","author":"Yang","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2024.110706_b24","first-page":"2892","article-title":"Partially view-aligned clustering","volume":"33","author":"Huang","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.patcog.2024.110706_b25","doi-asserted-by":"crossref","unstructured":"M. Yang, Y. Li, Z. Huang, Z. Liu, P. Hu, X. Peng, Partially view-aligned representation learning with noise-robust contrastive loss, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021, pp. 1134\u20131143.","DOI":"10.1109\/CVPR46437.2021.00119"},{"issue":"1","key":"10.1016\/j.patcog.2024.110706_b26","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1137\/0105003","article-title":"Algorithms for the assignment and transportation problems","volume":"5","author":"Munkres","year":"1957","journal-title":"J. Soc. Ind. Appl. Math."},{"issue":"1\u20132","key":"10.1016\/j.patcog.2024.110706_b27","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1002\/nav.3800020109","article-title":"The Hungarian method for the assignment problem","volume":"2","author":"Kuhn","year":"1955","journal-title":"Nav. Res. Logist. Q."},{"issue":"1","key":"10.1016\/j.patcog.2024.110706_b28","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1109\/TPAMI.2022.3155499","article-title":"Robust multi-view clustering with incomplete information","volume":"45","author":"Yang","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2024.110706_b29","doi-asserted-by":"crossref","unstructured":"C. Ding, T. Li, W. Peng, H. Park, Orthogonal nonnegative matrix t-factorizations for clustering, in: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006, pp. 126\u2013135.","DOI":"10.1145\/1150402.1150420"},{"issue":"6755","key":"10.1016\/j.patcog.2024.110706_b30","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.patcog.2024.110706_b31","series-title":"2008 Eighth IEEE International Conference on Data Mining","first-page":"63","article-title":"Non-negative matrix factorization on manifold","author":"Cai","year":"2008"},{"issue":"8","key":"10.1016\/j.patcog.2024.110706_b32","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."},{"key":"10.1016\/j.patcog.2024.110706_b33","doi-asserted-by":"crossref","unstructured":"J. Liu, X. Liu, Y. Yang, L. Liu, S. Wang, W. Liang, J. Shi, One-pass multi-view clustering for large-scale data, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021, pp. 12344\u201312353.","DOI":"10.1109\/ICCV48922.2021.01212"},{"issue":"2","key":"10.1016\/j.patcog.2024.110706_b34","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","article-title":"Least squares quantization in PCM","volume":"28","author":"Lloyd","year":"1982","journal-title":"IEEE Trans. Inform. Theory"},{"key":"10.1016\/j.patcog.2024.110706_b35","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2023.109341","article-title":"Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering","volume":"217","author":"Dong","year":"2024","journal-title":"Signal Process."},{"key":"10.1016\/j.patcog.2024.110706_b36","doi-asserted-by":"crossref","unstructured":"J. Huang, F. Nie, H. Huang, Spectral rotation versus k-means in spectral clustering, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 27, 2013, pp. 431\u2013437.","DOI":"10.1609\/aaai.v27i1.8683"},{"key":"10.1016\/j.patcog.2024.110706_b37","unstructured":"X. Cai, F. Nie, H. Huang, Multi-view k-means clustering on big data, in: Twenty-Third International Joint Conference on Artificial Intelligence, 2013, pp. 2598\u20132604."},{"issue":"7","key":"10.1016\/j.patcog.2024.110706_b38","doi-asserted-by":"crossref","first-page":"1774","DOI":"10.1109\/TPAMI.2018.2847335","article-title":"Binary multi-view clustering","volume":"41","author":"Zhang","year":"2018","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2024.110706_b39","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2020.107207","article-title":"Auto-weighted multi-view co-clustering via fast matrix factorization","volume":"102","author":"Nie","year":"2020","journal-title":"Pattern Recognit."},{"issue":"5","key":"10.1016\/j.patcog.2024.110706_b40","first-page":"2371","article-title":"Coordinate descent method for k-means","volume":"44","author":"Nie","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2024.110706_b41","series-title":"International Conference on Innovative Computing and Communication","first-page":"665","article-title":"Smart farming monitoring using ML and MLOps","author":"Akkem","year":"2023"}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320324004576?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320324004576?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T12:02:59Z","timestamp":1732276979000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320324004576"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":41,"alternative-id":["S0031320324004576"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2024.110706","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2024,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"View-unaligned clustering with graph regularization","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2024.110706","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110706"}}