{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T18:05:05Z","timestamp":1771265105544,"version":"3.50.1"},"reference-count":75,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Knowledge-Based Systems"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1016\/j.knosys.2024.111733","type":"journal-article","created":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T20:00:17Z","timestamp":1712952017000},"page":"111733","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":13,"special_numbering":"C","title":["Tensor schatten-p norm guided incomplete multi-view self-representation clustering"],"prefix":"10.1016","volume":"294","author":[{"given":"Wei","family":"Liu","sequence":"first","affiliation":[]},{"given":"Xiaoyuan","family":"Jing","sequence":"additional","affiliation":[]},{"given":"Deyu","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Tengyu","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"12","key":"10.1016\/j.knosys.2024.111733_b1","doi-asserted-by":"crossref","first-page":"2401","DOI":"10.1109\/TKDE.2019.2933511","article-title":"Multi-view support vector machines with the consensus and complementarity information","volume":"32","author":"Xie","year":"2020","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"7","key":"10.1016\/j.knosys.2024.111733_b2","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":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"10.1016\/j.knosys.2024.111733_b3","doi-asserted-by":"crossref","first-page":"83","DOI":"10.26599\/BDMA.2018.9020003","article-title":"Multi-view clustering: A survey","volume":"1","author":"Yang","year":"2018","journal-title":"Big Data Min. Anal."},{"issue":"2","key":"10.1016\/j.knosys.2024.111733_b4","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1109\/TAI.2021.3065894","article-title":"A survey on multiview clustering","volume":"2","author":"Chao","year":"2021","journal-title":"IEEE Trans. Artif. Intell."},{"issue":"7","key":"10.1016\/j.knosys.2024.111733_b5","doi-asserted-by":"crossref","first-page":"7470","DOI":"10.1109\/TKDE.2022.3193569","article-title":"Self-supervised discriminative feature learning for deep multi-view clustering","volume":"35","author":"Xu","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.knosys.2024.111733_b6","doi-asserted-by":"crossref","unstructured":"Z. Huang, Y. Ren, X. Pu, S. Huang, Z. Xu, L. He, Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering, in: Proc. AAAI, 2023, pp. 7936\u20137943.","DOI":"10.1609\/aaai.v37i7.25960"},{"key":"10.1016\/j.knosys.2024.111733_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.101937","article-title":"UNTIE: Clustering analysis with disentanglement in multi-view information fusion","volume":"100","author":"Xu","year":"2023","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.knosys.2024.111733_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110424","article-title":"Inclusivity induced adaptive graph learning for multi-view clustering","volume":"267","author":"Zou","year":"2023","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2024.111733_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109342","article-title":"Tensor-based multi-view clustering with consistency exploration and diversity regularization","volume":"252","author":"Hao","year":"2022","journal-title":"Knowl.-Based Syst."},{"issue":"12","key":"10.1016\/j.knosys.2024.111733_b10","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."},{"key":"10.1016\/j.knosys.2024.111733_b11","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110425","article-title":"Multi-view clustering guided by unconstrained non-negative matrix factorization","volume":"266","author":"Deng","year":"2023","journal-title":"Knowl.-Based Syst."},{"issue":"12","key":"10.1016\/j.knosys.2024.111733_b12","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.knosys.2024.111733_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110578","article-title":"Consensus cluster structure guided multi-view unsupervised feature selection","volume":"271","author":"Cao","year":"2023","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2024.111733_b14","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109632","article-title":"Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning","volume":"141","author":"Liang","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.knosys.2024.111733_b15","doi-asserted-by":"crossref","unstructured":"M. Hu, S. Chen, Doubly Aligned Incomplete Multi-view Clustering, in: Proc. IJCAI, 2018, pp. 2262\u20132268.","DOI":"10.24963\/ijcai.2018\/313"},{"issue":"1","key":"10.1016\/j.knosys.2024.111733_b16","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1109\/TCYB.2020.2987164","article-title":"Generalized incomplete multiview clustering with flexible locality structure diffusion","volume":"51","author":"Wen","year":"2021","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.knosys.2024.111733_b17","first-page":"1","article-title":"Projective incomplete multi-view clustering","author":"Deng","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"6","key":"10.1016\/j.knosys.2024.111733_b18","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":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"4","key":"10.1016\/j.knosys.2024.111733_b19","doi-asserted-by":"crossref","first-page":"1418","DOI":"10.1109\/TCYB.2018.2884715","article-title":"Incomplete multiview spectral clustering with adaptive graph learning","volume":"50","author":"Wen","year":"2020","journal-title":"IEEE Trans. Cybern."},{"issue":"6","key":"10.1016\/j.knosys.2024.111733_b20","first-page":"6504","article-title":"Incomplete multi-view clustering with sample-level auto-weighted graph fusion","volume":"35","author":"Liang","year":"2022","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.knosys.2024.111733_b21","doi-asserted-by":"crossref","unstructured":"S. Wang, X. Liu, L. Liu, W. Tu, X. Zhu, J. Liu, S. Zhou, E. Zhu, Highly-Efficient Incomplete Large-Scale Multi-View Clustering With Consensus Bipartite Graph, in: Proc. IEEE\/CVF Conf. on Comput. Vis. Pattern Recognit., CVPR, 2022, pp. 9776\u20139785.","DOI":"10.1109\/CVPR52688.2022.00955"},{"key":"10.1016\/j.knosys.2024.111733_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.108772","article-title":"Auto-weighted sample-level fusion with anchors for incomplete multi-view clustering","volume":"130","author":"Yu","year":"2022","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.knosys.2024.111733_b23","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.neunet.2020.10.014","article-title":"Consensus guided incomplete multi-view spectral clustering","volume":"133","author":"Wen","year":"2021","journal-title":"Neural Netw."},{"key":"10.1016\/j.knosys.2024.111733_b24","doi-asserted-by":"crossref","first-page":"2780","DOI":"10.1109\/TIP.2019.2952696","article-title":"Adaptive sample-level graph combination for partial multiview clustering","volume":"29","author":"Yang","year":"2020","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.knosys.2024.111733_b25","doi-asserted-by":"crossref","unstructured":"W. Zhuge, C. Hou, X. Liu, H. Tao, D. Yi, Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data, in: Proc. IJCAI, 2019, pp. 4482\u20134488.","DOI":"10.24963\/ijcai.2019\/623"},{"key":"10.1016\/j.knosys.2024.111733_b26","doi-asserted-by":"crossref","first-page":"4790","DOI":"10.1109\/TIP.2022.3187562","article-title":"View-consistency learning for incomplete multiview clustering","volume":"31","author":"Lv","year":"2022","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.knosys.2024.111733_b27","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1109\/TKDE.2023.3268215","article-title":"Incomplete multi-view clustering with joint partition and graph learning","volume":"35","author":"Li","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.knosys.2024.111733_b28","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.108412","article-title":"Incomplete multiview nonnegative representation learning with multiple graphs","volume":"123","author":"Zhang","year":"2022","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.knosys.2024.111733_b29","doi-asserted-by":"crossref","unstructured":"M. Hu, S. Chen, One-pass incomplete multi-view clustering, in: Proc. AAAI, 2019, pp. 3838\u20133845.","DOI":"10.1609\/aaai.v33i01.33013838"},{"key":"10.1016\/j.knosys.2024.111733_b30","first-page":"1","article-title":"Localized sparse incomplete multi-view clustering","author":"Liu","year":"2022","journal-title":"IEEE Trans. Multimedia"},{"key":"10.1016\/j.knosys.2024.111733_b31","article-title":"Fast incomplete multi-view clustering with view-independent anchors","author":"Liu","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.knosys.2024.111733_b32","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119038","article-title":"Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures","volume":"640","author":"Shang","year":"2023","journal-title":"Inform. Sci."},{"key":"10.1016\/j.knosys.2024.111733_b33","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.110244","article-title":"Simultaneous Laplacian embedding and subspace clustering for incomplete multi-view data","volume":"262","author":"Zhong","year":"2023","journal-title":"Knowl.-Based Syst."},{"issue":"12","key":"10.1016\/j.knosys.2024.111733_b34","doi-asserted-by":"crossref","first-page":"13635","DOI":"10.1109\/TCYB.2021.3140068","article-title":"Tensor completion-based incomplete multiview clustering","volume":"52","author":"Xia","year":"2022","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.knosys.2024.111733_b35","first-page":"1","article-title":"Refining graph structure for incomplete multi-view clustering","author":"Li","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.knosys.2024.111733_b36","doi-asserted-by":"crossref","unstructured":"H. Wang, L. Zong, B. Liu, Y. Yang, W. Zhou, Spectral Perturbation Meets Incomplete Multi-view Data, in: Proc. IJCAI, 2019, pp. 3677\u20133683.","DOI":"10.24963\/ijcai.2019\/510"},{"key":"10.1016\/j.knosys.2024.111733_b37","doi-asserted-by":"crossref","first-page":"2493","DOI":"10.1109\/TMM.2020.3013408","article-title":"Adaptive graph completion based incomplete multi-view clustering","volume":"23","author":"Wen","year":"2021","journal-title":"IEEE Trans. Multimedia"},{"key":"10.1016\/j.knosys.2024.111733_b38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TKDE.2023.3291006","article-title":"Self-supervised graph completion for incomplete multi-view clustering","author":"Liu","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.knosys.2024.111733_b39","first-page":"1","article-title":"Low-rank graph completion-based incomplete multiview clustering","author":"Cui","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.knosys.2024.111733_b40","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.107890","article-title":"A novel consensus learning approach to incomplete multi-view clustering","volume":"115","author":"Liu","year":"2021","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.knosys.2024.111733_b41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2023.01.013","article-title":"Incomplete multi-view clustering via kernelized graph learning","volume":"625","author":"Xia","year":"2023","journal-title":"Inform. Sci."},{"key":"10.1016\/j.knosys.2024.111733_b42","first-page":"1","article-title":"Low-rank tensor regularized views recovery for incomplete multiview clustering","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"5","key":"10.1016\/j.knosys.2024.111733_b43","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1109\/TAI.2021.3139573","article-title":"Incomplete multiview clustering with cross-view feature transformation","volume":"3","author":"Liang","year":"2022","journal-title":"IEEE Trans. Artif. Intell."},{"key":"10.1016\/j.knosys.2024.111733_b44","doi-asserted-by":"crossref","unstructured":"J. Liu, X. Liu, Y. Zhang, P. Zhang, W. Tu, S. Wang, S. Zhou, W. Liang, S. Wang, Y. Yang, Self-Representation Subspace Clustering for Incomplete Multi-View Data, in: Proc. ACM Int. Conf. Multimedia, 2021, pp. 2726\u20132734.","DOI":"10.1145\/3474085.3475379"},{"key":"10.1016\/j.knosys.2024.111733_b45","doi-asserted-by":"crossref","unstructured":"J. Wen, Z. Zhang, Z. Zhang, L. Zhu, L. Fei, B. Zhang, Y. Xu, Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring, in: Proc. AAAI, 2021, pp. 10273\u201310281.","DOI":"10.1609\/aaai.v35i11.17231"},{"key":"10.1016\/j.knosys.2024.111733_b46","doi-asserted-by":"crossref","unstructured":"W. Zhou, H. Wang, Y. Yang, Consensus graph learning for incomplete multi-view clustering, in: Proc. PAKDD, 2019, pp. 529\u2013540.","DOI":"10.1007\/978-3-030-16148-4_41"},{"key":"10.1016\/j.knosys.2024.111733_b47","doi-asserted-by":"crossref","unstructured":"J. Wen, Z. Zhang, Y. Xu, B. Zhang, L. Fei, H. Liu, Unified embedding alignment with missing views inferring for incomplete multi-view clustering, in: Proc. AAAI, 2019, pp. 5393\u20135400.","DOI":"10.1609\/aaai.v33i01.33015393"},{"key":"10.1016\/j.knosys.2024.111733_b48","doi-asserted-by":"crossref","unstructured":"Z. Li, C. Tang, X. Liu, X. Zheng, W. Zhang, E. Zhu, Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data, in: IEEE Int. Conf. on Multimedia Expo., ICME, 2021, pp. 1\u20136.","DOI":"10.1109\/ICME51207.2021.9428106"},{"issue":"8","key":"10.1016\/j.knosys.2024.111733_b49","first-page":"2634","article-title":"Efficient and effective regularized incomplete multi-view clustering","volume":"43","author":"Liu","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"10.1016\/j.knosys.2024.111733_b50","doi-asserted-by":"crossref","first-page":"1690","DOI":"10.1109\/TCYB.2019.2953564","article-title":"Joint embedding learning and low-rank approximation: A framework for incomplete multiview learning","volume":"51","author":"Tao","year":"2021","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.knosys.2024.111733_b51","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.ins.2023.03.104","article-title":"Learning latent embedding via weighted projection matrix alignment for incomplete multi-view clustering","volume":"634","author":"Yin","year":"2023","journal-title":"Inform. Sci."},{"key":"10.1016\/j.knosys.2024.111733_b52","doi-asserted-by":"crossref","first-page":"2067","DOI":"10.1109\/TIP.2022.3147046","article-title":"High-order correlation preserved incomplete multi-view subspace clustering","volume":"31","author":"Li","year":"2022","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.knosys.2024.111733_b53","doi-asserted-by":"crossref","DOI":"10.1109\/TCSVT.2023.3276362","article-title":"Tensor-based incomplete multi-view clustering with low-rank data reconstruction and consistency guidance","author":"Hao","year":"2023","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"3","key":"10.1016\/j.knosys.2024.111733_b54","first-page":"2671","article-title":"Incomplete multi-view clustering with reconstructed views","volume":"35","author":"Yin","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.knosys.2024.111733_b55","doi-asserted-by":"crossref","unstructured":"S. Zhao, J. Wen, L. Fei, B. Zhang, Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion, in: Proc. AAAI, 2023, pp. 11327\u201311335.","DOI":"10.1609\/aaai.v37i9.26340"},{"key":"10.1016\/j.knosys.2024.111733_b56","first-page":"1","article-title":"Consensus latent incomplete multi-view clustering with low-rank tensor constraint","author":"Ji","year":"2023","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"10.1016\/j.knosys.2024.111733_b57","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109122","article-title":"Learning missing instances in latent space for incomplete multi-view clustering","volume":"250","author":"Yu","year":"2022","journal-title":"Knowl.-Based Syst."},{"issue":"2","key":"10.1016\/j.knosys.2024.111733_b58","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.1109\/TSMC.2022.3192635","article-title":"A survey on incomplete multiview clustering","volume":"53","author":"Wen","year":"2023","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"10.1016\/j.knosys.2024.111733_b59","doi-asserted-by":"crossref","unstructured":"J. Xu, C. Li, Y. Ren, L. Peng, Y. Mo, X. Shi, X. Zhu, Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity, in: Proc. AAAI, 2022, pp. 8761\u20138769.","DOI":"10.1609\/aaai.v36i8.20856"},{"key":"10.1016\/j.knosys.2024.111733_b60","doi-asserted-by":"crossref","unstructured":"C. Zhang, H. Li, W. Lv, Z. Huang, Y. Gao, C. Chen, Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering, in: Proc. AAAI, 2023, pp. 11174\u201311182.","DOI":"10.1609\/aaai.v37i9.26323"},{"key":"10.1016\/j.knosys.2024.111733_b61","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.101914","article-title":"Tensorized topological graph learning for generalized incomplete multi-view clustering","volume":"100","author":"Zhang","year":"2023","journal-title":"Inf. Fusion"},{"issue":"12","key":"10.1016\/j.knosys.2024.111733_b62","doi-asserted-by":"crossref","first-page":"12966","DOI":"10.1109\/TCYB.2021.3094843","article-title":"Autoweighted multiview feature selection with graph optimization","volume":"52","author":"Wang","year":"2021","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.knosys.2024.111733_b63","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.inffus.2016.09.008","article-title":"PAC-Bayes analysis of multi-view learning","volume":"35","author":"Sun","year":"2017","journal-title":"Inf. Fusion"},{"issue":"10","key":"10.1016\/j.knosys.2024.111733_b64","doi-asserted-by":"crossref","first-page":"10681","DOI":"10.1109\/TKDE.2023.3266595","article-title":"C2IMUFS: Complementary and consensus learning-based incomplete multi-view unsupervised feature selection","volume":"35","author":"Huang","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.knosys.2024.111733_b65","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","article-title":"A tutorial on spectral clustering","volume":"17","author":"Von Luxburg","year":"2007","journal-title":"Statist. Comput."},{"key":"10.1016\/j.knosys.2024.111733_b66","unstructured":"G. Liu, Z. Lin, Y. Yu, Robust Subspace Segmentation by Low-Rank Representation, in: Proc. 27th Int. Conf. Int. Conf. Mach. Learn., 2010, pp. 663\u2013670."},{"issue":"6","key":"10.1016\/j.knosys.2024.111733_b67","doi-asserted-by":"crossref","first-page":"1405","DOI":"10.1109\/JSTSP.2018.2879185","article-title":"T-schatten-p norm for low-rank tensor recovery","volume":"12","author":"Kong","year":"2018","journal-title":"IEEE J. Sel. Topics Signal Process."},{"issue":"1","key":"10.1016\/j.knosys.2024.111733_b68","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1007\/s10107-014-0826-5","article-title":"The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent","volume":"155","author":"Chen","year":"2016","journal-title":"Math. Programm."},{"issue":"6","key":"10.1016\/j.knosys.2024.111733_b69","doi-asserted-by":"crossref","first-page":"2133","DOI":"10.1109\/TPAMI.2020.3017672","article-title":"Enhanced tensor RPCA and its application","volume":"43","author":"Gao","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"10.1016\/j.knosys.2024.111733_b70","doi-asserted-by":"crossref","first-page":"4842","DOI":"10.1109\/TIP.2016.2599290","article-title":"Weighted schatten p -norm minimization for image denoising and background subtraction","volume":"25","author":"Xie","year":"2016","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"10.1016\/j.knosys.2024.111733_b71","doi-asserted-by":"crossref","first-page":"1774","DOI":"10.1109\/TPAMI.2018.2847335","article-title":"Binary multi-view clustering","volume":"41","author":"Zhang","year":"2019","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.knosys.2024.111733_b72","unstructured":"F. Nie, H. Huang, X. Cai, C. Ding, Efficient and Robust Feature Selection via Joint L2,1-Norms Minimization, in: Proc. Int. Conf. Neural Inf. Process. Syst., 2010, pp. 1813\u20131821."},{"issue":"10","key":"10.1016\/j.knosys.2024.111733_b73","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6420\/ac8ac5","article-title":"Nonconvex multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix*","volume":"38","author":"Li","year":"2022","journal-title":"Inverse Problems"},{"key":"10.1016\/j.knosys.2024.111733_b74","doi-asserted-by":"crossref","unstructured":"D. Greene, P. Cunningham, Practical Solutions to the Problem of Diagonal Dominance in Kernel Document Clustering, in: Proc. ICML, 2006, pp. 377\u2014-384.","DOI":"10.1145\/1143844.1143892"},{"key":"10.1016\/j.knosys.2024.111733_b75","doi-asserted-by":"crossref","unstructured":"C. Cui, Y. Ren, J. Pu, X. Pu, L. He, Deep Multi-view Subspace Clustering with Anchor Graph, in: Proc. IJCAI, 2023, pp. 3577\u20133585.","DOI":"10.24963\/ijcai.2023\/398"}],"container-title":["Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095070512400368X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095070512400368X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T05:16:36Z","timestamp":1731734196000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095070512400368X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":75,"alternative-id":["S095070512400368X"],"URL":"https:\/\/doi.org\/10.1016\/j.knosys.2024.111733","relation":{},"ISSN":["0950-7051"],"issn-type":[{"value":"0950-7051","type":"print"}],"subject":[],"published":{"date-parts":[[2024,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Tensor schatten-p norm guided incomplete multi-view self-representation clustering","name":"articletitle","label":"Article Title"},{"value":"Knowledge-Based Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.knosys.2024.111733","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"111733"}}