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and an algorithm","author":"Ng","year":"2001"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"2765","DOI":"10.1109\/TPAMI.2013.57","article-title":"Sparse subspace clustering: algorithm, theory, and applications","volume":"35","author":"Elhamifar","year":"2013","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref4","series-title":"2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201905)","first-page":"886","article-title":"Histograms of oriented gradients for human detection","author":"Dalal","year":"2005"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant keypoints","volume":"60","author":"Lowe","year":"2004","journal-title":"Int J Comput Vis"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1023\/A:1011139631724","article-title":"Modeling the shape of the scene: a holistic representation of the spatial envelope","volume":"42","author":"Oliva","year":"2001","journal-title":"Int J Comput Vis"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"2014","DOI":"10.1109\/TKDE.2019.2913377","article-title":"Parameter-free weighted multi-view projected clustering with structured graph learning","volume":"32","author":"Wang","year":"2019","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.ins.2019.09.079","article-title":"Auto-weighted multi-view co-clustering with bipartite graphs","volume":"512","author":"Huang","year":"2020","journal-title":"Inf Sci"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1109\/TIP.2018.2877335","article-title":"Multiview consensus graph clustering","volume":"28","author":"Zhan","year":"2019","journal-title":"IEEE Trans Image Process"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"4214","DOI":"10.1109\/TCSVT.2020.3049005","article-title":"AKM3C: adaptive k-multiple-means for multi-view clustering","volume":"31","author":"Hu","year":"2021","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"3656","DOI":"10.1016\/j.patcog.2014.05.005","article-title":"Multiple kernel clustering based on centered kernel alignment","volume":"47","author":"Lu","year":"2014","journal-title":"Pattern Recognit"},{"key":"ref12","series-title":"2012 IEEE 12th International Conference on Data Mining","first-page":"675","article-title":"Kernel-based weighted multi-view clustering","author":"Tzortzis","year":"2012"},{"key":"ref13","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"4860","article-title":"A cluster-weighted kernel k-means method for multi-view clustering","author":"Liu","year":"2020"},{"key":"ref14","series-title":"International Joint Conference on Rough Sets","first-page":"599","article-title":"Multi-view clustering algorithm based on variable weight","author":"Zhang","year":"2017"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"3561","DOI":"10.1109\/TCSVT.2021.3119956","article-title":"Generalized multi-view collaborative subspace clustering","volume":"32","author":"Lan","year":"2021","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref16","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"4238","article-title":"Multi-view subspace clustering","author":"Gao","year":"2015"},{"key":"ref17","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"586","article-title":"Diversity induced multi-view subspace clustering","author":"Cao","year":"2015"},{"key":"ref18","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","article-title":"Consistent and specific multi-view subspace clustering","volume":"32","author":"Luo","year":"2018"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1007\/s10489-021-02365-8","article-title":"Kernelized multi-view subspace clustering via auto-weighted graph learning","volume":"52","author":"Zhang","year":"2022","journal-title":"Appl Intell"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"14437","DOI":"10.1109\/TNNLS.2023.3279133","article-title":"Multi-view and multi-order structured graph learning","volume":"35","author":"Wang","year":"2024","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TBDATA.2024.3524105","article-title":"Local high-order graph learning for multi-view clustering","volume":"PP","author":"Wang","year":"2024 Jan","journal-title":"IEEE Trans Big Data"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"2567","DOI":"10.1109\/TMM.2021.3086727","article-title":"Projective multiple kernel subspace clustering","volume":"24","author":"Sun","year":"2021","journal-title":"IEEE Trans Multimed"},{"key":"ref23","unstructured":"Ji P, Zhang T, Li H, Salzmann M, Reid I. Deep subspace clustering networks. In: 31st Conference on Neural Information Processing Systems (NIPS 2017), 2017; Long Beach, CA, USA."},{"key":"ref24","unstructured":"Zhu P, Yao X, Wang Y, Hui B, Du D, Hu Q. Multi-view deep subspace clustering networks. arXiv:1908.01978. 2019."},{"key":"ref25","doi-asserted-by":"crossref","first-page":"2377","DOI":"10.1007\/s13042-021-01318-4","article-title":"A novel self-attention deep subspace clustering","volume":"12","author":"Chen","year":"2021","journal-title":"Int J Mach Learn Cybern"},{"key":"ref26","first-page":"1","article-title":"Deep contrastive multi-view subspace clustering with representation and cluster interactive learning","volume":"37","author":"Yu","year":"2024","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref27","doi-asserted-by":"crossref","unstructured":"Cui C, Ren Y, Pu J, Pu X, He L. Deep multi-view subspace clustering with anchor graph. arXiv:2305.06939, 2023.","DOI":"10.24963\/ijcai.2023\/398"},{"key":"ref28","series-title":"Asian Conference on Machine Learning","first-page":"723","article-title":"Attributed graph subspace clustering with graph-boosting","author":"Wang"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.neucom.2021.03.115","article-title":"Multi-view subspace clustering networks with local and global graph information","volume":"449","author":"Zheng","year":"2021","journal-title":"Neurocomputing"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"3483","DOI":"10.1109\/TMM.2020.3025666","article-title":"Deep multi-view subspace clustering with unified and discriminative learning","volume":"23","author":"Wang","year":"2020","journal-title":"IEEE Trans Multimed"},{"key":"ref31","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":"ref32","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.knosys.2019.105126","article-title":"One-step kernel multi-view subspace clustering","volume":"189","author":"Zhang","year":"2020","journal-title":"Knowl Based Syst"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"4676","DOI":"10.1109\/TKDE.2020.3045770","article-title":"Consensus one-step multi-view subspace clustering","volume":"34","author":"Zhang","year":"2020","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref34","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"4412","article-title":"Large-scale multi-view subspace clustering in linear time","author":"Kang","year":"2020"},{"key":"ref35","series-title":"International Conferenceon Machine Learning","first-page":"1247","article-title":"Deep canonical correlation analysis","author":"Andrew"},{"key":"ref36","series-title":"International Conference on Machine Learning","first-page":"1083","article-title":"On deep multi-view representation learning","author":"Wang","year":"2015"},{"key":"ref37","series-title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)","first-page":"2898","article-title":"Deep multi-view concept learning","author":"Xu","year":"2018"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"1601","DOI":"10.1109\/JSTSP.2018.2875385","article-title":"Deep multimodal subspace clustering networks","volume":"12","author":"Abavisani","year":"2018","journal-title":"IEEE J Sel Top Signal Process"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"3938","DOI":"10.1609\/aaai.v34i04.5808","article-title":"Cross-modal subspace clustering via deep canonical correlation analysis","author":"Gao","year":"2020","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1109\/TCSVT.2022.3200451","article-title":"Graph-guided unsupervised multiview representation learning","volume":"33","author":"Zheng","year":"2022","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref41","first-page":"1","article-title":"Benchmarking micro-action recognition: dataset, method, and application","volume":"PP","author":"Guo","year":"2024","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref42","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"6965","article-title":"Multi-view spectral clustering with optimal neighborhood laplacian matrix","author":"Zhou","year":"2020"},{"key":"ref43","series-title":"2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","first-page":"1","article-title":"Hierarchical hyper lingual-words for multi-modality face classification","author":"Shao","year":"2013"},{"key":"ref44","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"5356","article-title":"Discriminatively embedded k-means for multi-view clustering","author":"Xu","year":"2016"},{"key":"ref45","unstructured":"Sim T, Baker S, Bsat M. The CMU pose, illumination and expression database of human faces. Carnegie Mellon University. Technical Report CMU-RI-TR-OI-02, 2001."},{"key":"ref46","series-title":"2007 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1","article-title":"Learning a spatially smooth subspace for face recognition","author":"Cai","year":"2007"},{"key":"ref47","unstructured":"Chang C-C. A library for support vector machines. 2001 [cited 2024 Nov 28]. Available from: http:\/\/www.csie.ntu.edu.tw\/."},{"key":"ref48","doi-asserted-by":"crossref","first-page":"gkw964","DOI":"10.1093\/nar\/gkw964","article-title":"The landscape of microbial phenotypic traits and associated genes","volume":"44","author":"Brbi\u2019c","year":"2016","journal-title":"Nucleic Acids Res"},{"key":"ref49","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","article-title":"Multi-view clustering and semi-supervised classification with adaptive neighbours","volume":"31","author":"Nie"},{"key":"ref50","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"4279","article-title":"Latent multi-view subspace clustering","author":"Zhang","year":"2017"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1109\/TKDE.2019.2903810","article-title":"GMC: graph-based multi-view clustering","volume":"32","author":"Wang","year":"2019","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref52","doi-asserted-by":"crossref","first-page":"4784","DOI":"10.1109\/TCSVT.2021.3055039","article-title":"Multi-view spectral clustering tailored tensor low-rank representation","volume":"31","author":"Jia","year":"2021","journal-title":"IEEE Trans Circuits Syst Video Technol"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-82-3\/TSP_CMC_60918\/TSP_CMC_60918.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T06:31:06Z","timestamp":1763101866000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v82n3\/59931"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":52,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.060918","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]}}}