{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T04:12:45Z","timestamp":1758168765989,"version":"3.44.0"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T00:00:00Z","timestamp":1756512000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T00:00:00Z","timestamp":1756512000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1007\/s10586-025-05245-9","type":"journal-article","created":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T11:06:16Z","timestamp":1756551976000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-view clustering algorithm based on sparse regression and structure learning"],"prefix":"10.1007","volume":"28","author":[{"given":"Caixia","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoping","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolin","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,8,30]]},"reference":[{"key":"5245_CR1","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/s10586-020-03131-0","volume":"24","author":"MJ Mbyamm Kiki","year":"2021","unstructured":"Mbyamm Kiki, M.J., Zhang, J., Kouassi, B.A.: Mapreduce FCM clustering set algorithm. Clust. Comput. 24, 489\u2013500 (2021)","journal-title":"Clust. Comput."},{"key":"5245_CR2","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.neucom.2020.02.104","volume":"402","author":"L Fu","year":"2020","unstructured":"Fu, L., Lin, P., Vasilakos, A.V., Wang, S.: An overview of recent multi-view clustering. Neurocomputing 402, 148\u2013161 (2020)","journal-title":"Neurocomputing"},{"key":"5245_CR3","first-page":"1","volume":"2024","author":"J AlShaqsi","year":"2024","unstructured":"AlShaqsi, J., Wang, W., Drogham, O., Alkhawaldeh, R.S.: Quantitative and qualitative similarity measure for data clustering analysis. Clust. Comput. 2024, 1\u201326 (2024)","journal-title":"Clust. Comput."},{"issue":"2","key":"5245_CR4","doi-asserted-by":"publisher","first-page":"83","DOI":"10.26599\/BDMA.2018.9020003","volume":"1","author":"Y Yang","year":"2018","unstructured":"Yang, Y., Wang, H.: Multi-view clustering: a survey. Big Data Min. Anal. 1(2), 83\u2013107 (2018)","journal-title":"Big Data Min. Anal."},{"key":"5245_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101832","volume":"98","author":"W Yan","year":"2023","unstructured":"Yan, W., Gu, M., Ren, J., Yue, G., Liu, Z., Xu, J., Lin, W.: Collaborative structure and feature learning for multi-view clustering. Inf. Fusion 98, 101832 (2023)","journal-title":"Inf. Fusion"},{"key":"5245_CR6","first-page":"10","volume":"35","author":"W Zhang","year":"2024","unstructured":"Zhang, W., Deng, Z., Zhang, T., Choi, K.-S., Wang, S.: One-step multiview fuzzy clustering with collaborative learning between common and specific hidden space information. IEEE Trans. Neural Netw. Learn. Syst. 35, 10 (2024)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"5245_CR7","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2309.13989","author":"C Cui","year":"2023","unstructured":"Cui, C., Ren, Y., Pu, J., Li, J., Pu, X., Wu, T., Shi, Y., He, L.: A novel approach for effective multi-view clustering with information-theoretic perspective. Neural Inf. Process. Syst. (2023). https:\/\/doi.org\/10.48550\/arXiv.2309.13989","journal-title":"Neural Inf. Process. Syst."},{"key":"5245_CR8","doi-asserted-by":"publisher","first-page":"16049","DOI":"10.1109\/TNNLS.2023.3291696","volume":"35","author":"Y Wen","year":"2024","unstructured":"Wen, Y., Wang, S., Liao, Q., Liang, W., Liang, K., Wan, X., Liu, X.: Unpaired multi-view graph clustering with cross-view structure matching. IEEE Trans. Neural Netw. Learn. Syst. 35, 16049 (2024)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"5245_CR9","doi-asserted-by":"publisher","first-page":"12350","DOI":"10.1109\/TKDE.2023.3270311","volume":"35","author":"U Fang","year":"2023","unstructured":"Fang, U., Li, M., Li, J., Gao, L., Jia, T., Zhang, Y.: A comprehensive survey on multi-view clustering. IEEE Trans. Knowl. Data Eng. 35, 12350 (2023)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"9","key":"5245_CR10","doi-asserted-by":"publisher","first-page":"9394","DOI":"10.1109\/TKDE.2023.3238416","volume":"35","author":"C Liu","year":"2023","unstructured":"Liu, C., Wu, S., Li, R., Jiang, D., Wong, H.-S.: Self-supervised graph completion for incomplete multi-view clustering. IEEE Trans. Knowl. Data Eng. 35(9), 9394\u20139406 (2023)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"5245_CR11","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1016\/j.ins.2023.02.089","volume":"631","author":"Y Du","year":"2023","unstructured":"Du, Y., Lu, G.-F., Ji, G.: Robust and optimal neighborhood graph learning for multi-view clustering. Inf. Sci. 631, 429\u2013448 (2023)","journal-title":"Inf. Sci."},{"issue":"5","key":"5245_CR12","doi-asserted-by":"publisher","first-page":"053035","DOI":"10.1117\/1.JEI.32.5.053035","volume":"32","author":"T Zhang","year":"2023","unstructured":"Zhang, T., Zhang, H., Zhao, Y., Liu, F.: Enhanced intra-inter view correlation learning for multi-view subspace clustering. J. Electron. Imaging 32(5), 053035 (2023)","journal-title":"J. Electron. Imaging"},{"key":"5245_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2023.129405","volume":"633","author":"G Kong","year":"2024","unstructured":"Kong, G., Ma, Y., Xing, Z., Xin, X.: Multi-view k-means clustering algorithm based on redundant and sparse feature learning. Phys. A 633, 129405 (2024)","journal-title":"Phys. A"},{"key":"5245_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109836","volume":"144","author":"M Zhao","year":"2023","unstructured":"Zhao, M., Yang, W., Nie, F.: Deep multi-view spectral clustering via ensemble. Pattern Recogn. 144, 109836 (2023)","journal-title":"Pattern Recogn."},{"key":"5245_CR15","doi-asserted-by":"crossref","unstructured":"Jin, J., Wang, S., Dong, Z., Liu, X., Zhu, E.: Deep incomplete multi-view clustering with cross-view partial sample and prototype alignment. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11600\u201311609. CVF (2023)","DOI":"10.1109\/CVPR52729.2023.01116"},{"key":"5245_CR16","doi-asserted-by":"publisher","first-page":"119798","DOI":"10.1016\/j.ins.2023.119798","volume":"653","author":"J Wang","year":"2024","unstructured":"Wang, J., Wu, B., Ren, Z., Zhou, Y.: Decomposed deep multi-view subspace clustering with self-labeling supervision. Inf. Sci. 653, 119798 (2024)","journal-title":"Inf. Sci."},{"issue":"2","key":"5245_CR17","doi-asserted-by":"publisher","first-page":"1611","DOI":"10.1007\/s10586-023-04033-7","volume":"27","author":"G Zhao","year":"2024","unstructured":"Zhao, G., Kou, S., Yin, X., Zhang, G., Wang, Y.: Self-supervised deep subspace clustering with entropy-norm. Clust. Comput. 27(2), 1611\u20131623 (2024)","journal-title":"Clust. Comput."},{"key":"5245_CR18","first-page":"18186","volume":"36","author":"J Li","year":"2023","unstructured":"Li, J., Gao, Q., Wang, Q., Yang, M., Xia, W.: Orthogonal non-negative tensor factorization based multi-view clustering. Adv. Neural Inf. Process. Syst. 36, 18186 (2023)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"5245_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2023.109341","volume":"217","author":"Y Dong","year":"2024","unstructured":"Dong, Y., Che, H., Leung, M.-F., Liu, C., Yan, Z.: Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering. Signal Process. 217, 109341 (2024)","journal-title":"Signal Process."},{"key":"5245_CR20","doi-asserted-by":"publisher","first-page":"110425","DOI":"10.1016\/j.knosys.2023.110425","volume":"266","author":"P Deng","year":"2023","unstructured":"Deng, P., Li, T., Wang, D., Wang, H., Peng, H., Horng, S.-J.: Multi-view clustering guided by unconstrained non-negative matrix factorization. Knowl.-Based Syst. 266, 110425 (2023)","journal-title":"Knowl.-Based Syst."},{"key":"5245_CR21","doi-asserted-by":"publisher","first-page":"119719","DOI":"10.1016\/j.ins.2023.119719","volume":"651","author":"K Tang","year":"2023","unstructured":"Tang, K., Xu, K., Su, Z., Zhang, N.: Multi-view subspace clustering via consistent and diverse deep latent representations. Inf. Sci. 651, 119719 (2023)","journal-title":"Inf. Sci."},{"issue":"2","key":"5245_CR22","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1109\/TAI.2023.3271964","volume":"5","author":"Z He","year":"2023","unstructured":"He, Z., Wan, S., Zappatore, M., Lu, H.: A similarity matrix low-rank approximation and inconsistency separation fusion approach for multi-view clustering. IEEE Trans. Artif. Intell. 5(2), 868\u2013881 (2023)","journal-title":"IEEE Trans. Artif. Intell."},{"key":"5245_CR23","doi-asserted-by":"publisher","first-page":"102097","DOI":"10.1016\/j.inffus.2023.102097","volume":"103","author":"B Yang","year":"2024","unstructured":"Yang, B., Wu, J., Zhang, X., Zheng, X., Nie, F., Chen, B.: Discrete correntropy-based multi-view anchor-graph clustering. Inf. Fusion 103, 102097 (2024)","journal-title":"Inf. Fusion"},{"key":"5245_CR24","doi-asserted-by":"publisher","first-page":"4947","DOI":"10.1109\/TNNLS.2024.3359690","volume":"36","author":"B Yang","year":"2024","unstructured":"Yang, B., Zhang, X., Wu, J., Nie, F., Lin, Z., Wang, F., Chen, B.: Fast multiview anchor-graph clustering. IEEE Trans. Neural Netw. Learn. Syst. 36, 4947 (2024)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"5","key":"5245_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-022-3579-1","volume":"66","author":"C Tang","year":"2023","unstructured":"Tang, C., Zheng, X., Zhang, W., Liu, X., Zhu, X., Zhu, E.: Unsupervised feature selection via multiple graph fusion and feature weight learning. Sci. China Inf. Sci. 66(5), 1\u201317 (2023)","journal-title":"Sci. China Inf. Sci."},{"key":"5245_CR26","doi-asserted-by":"publisher","first-page":"2161","DOI":"10.1007\/s10586-021-03254-y","volume":"24","author":"L Abualigah","year":"2021","unstructured":"Abualigah, L., Dulaimi, A.J.: A novel feature selection method for data mining tasks using hybrid sine cosine algorithm and genetic algorithm. Clust. Comput. 24, 2161\u20132176 (2021)","journal-title":"Clust. Comput."},{"key":"5245_CR27","unstructured":"Cai, X., Nie, F., Huang, H.: Exact top-k feature selection via l2, 0-norm constraint. In: Twenty-Third International Joint Conference on Artificial Intelligence. Citeseer (2013)"},{"key":"5245_CR28","doi-asserted-by":"crossref","unstructured":"Xu, J., Han, J., Nie, F.: Discriminatively embedded k-means for multi-view clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5356\u20135364 (2016)","DOI":"10.1109\/CVPR.2016.578"},{"key":"5245_CR29","doi-asserted-by":"publisher","first-page":"110396","DOI":"10.1016\/j.patcog.2024.110396","volume":"151","author":"C Gao","year":"2024","unstructured":"Gao, C., Chen, W., Nie, F., Yu, W., Wang, Z.: Spectral clustering with linear embedding: a discrete clustering method for large-scale data. Pattern Recogn. 151, 110396 (2024)","journal-title":"Pattern Recogn."},{"key":"5245_CR30","volume-title":"Constrained Optimization and Lagrange Multiplier Methods","author":"DP Bertsekas","year":"2014","unstructured":"Bertsekas, D.P.: Constrained Optimization and Lagrange Multiplier Methods. Academic Press, Cambridge (2014)"},{"key":"5245_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-016-9021-9","volume":"60","author":"F Nie","year":"2017","unstructured":"Nie, F., Zhang, R., Li, X.: A generalized power iteration method for solving quadratic problem on the Stiefel manifold. Sci. China Inf. Sci. 60, 1\u201310 (2017)","journal-title":"Sci. China Inf. Sci."},{"key":"5245_CR32","doi-asserted-by":"crossref","unstructured":"Sublime, J., Matei, B., Murena, P.A.: Analysis of the influence of diversity in collaborative and multi-view clustering. In: 2017 International Joint Conference on Neural Networks (IJCNN), pp. 4126\u20134133. IEEE (2017)","DOI":"10.1109\/IJCNN.2017.7966377"},{"issue":"2","key":"5245_CR33","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1093\/molbev\/msaa224","volume":"38","author":"CD Harris","year":"2021","unstructured":"Harris, C.D., Torrance, E.L., Raymann, K., Bobay, L.-M.: Corecruncher: fast and robust construction of core genomes in large prokaryotic data sets. Mol. Biol. Evol. 38(2), 727\u2013734 (2021)","journal-title":"Mol. Biol. Evol."},{"key":"5245_CR34","doi-asserted-by":"crossref","unstructured":"Chua, T.S., Tang, J., Hong, R., Li, H., Luo, Z., Zheng, Y.: Nus-wide: a real-world web image database from national university of Singapore. In: Proceedings of the ACM International Conference on Image and Video Retrieval, pp. 1\u20139. ACM (2009)","DOI":"10.1145\/1646396.1646452"},{"key":"5245_CR35","unstructured":"Fei-Fei, L., Fergus, R., Perona, P.: Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories. In: 2004 Conference on Computer Vision and Pattern Recognition Workshop, p. 178. IEEE (2004)"},{"key":"5245_CR36","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1109\/TIP.2021.3131941","volume":"31","author":"S Wang","year":"2021","unstructured":"Wang, S., Liu, X., Zhu, X., Zhang, P., Zhang, Y., Gao, F., Zhu, E.: Fast parameter-free multi-view subspace clustering with consensus anchor guidance. IEEE Trans. Image Process. 31, 556\u2013568 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"5245_CR37","doi-asserted-by":"crossref","unstructured":"Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201906), vol. 2, pp. 2169\u20132178. IEEE (2006)","DOI":"10.1109\/CVPR.2006.68"},{"issue":"12","key":"5245_CR38","doi-asserted-by":"publisher","first-page":"722","DOI":"10.3390\/axioms11120722","volume":"11","author":"L Yuan","year":"2022","unstructured":"Yuan, L., Yang, X., Xing, Z., Ma, Y.: Latent multi-view semi-nonnegative matrix factorization with block diagonal constraint. Axioms 11(12), 722 (2022)","journal-title":"Axioms"},{"issue":"2","key":"5245_CR39","doi-asserted-by":"publisher","first-page":"816","DOI":"10.1109\/TKDE.2020.2986201","volume":"34","author":"J Han","year":"2020","unstructured":"Han, J., Xu, J., Nie, F., Li, X.: Multi-view k-means clustering with adaptive sparse memberships and weight allocation. IEEE Trans. Knowl. Data Eng. 34(2), 816\u2013827 (2020)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"5245_CR40","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1016\/j.knosys.2018.10.022","volume":"163","author":"H Wang","year":"2019","unstructured":"Wang, H., Yang, Y., Liu, B., Fujita, H.: A study of graph-based system for multi-view clustering. Knowl.-Based Syst. 163, 1009\u20131019 (2019)","journal-title":"Knowl.-Based Syst."},{"key":"5245_CR41","doi-asserted-by":"crossref","unstructured":"Wang, X., Guo, X., Lei, Z., Zhang, C., Li, S.Z.: Exclusivity-consistency regularized multi-view subspace clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 923\u2013931 (2017)","DOI":"10.1109\/CVPR.2017.8"},{"issue":"6","key":"5245_CR42","doi-asserted-by":"publisher","first-page":"3016","DOI":"10.1109\/TIP.2017.2665976","volume":"26","author":"J Xu","year":"2017","unstructured":"Xu, J., Han, J., Nie, F., Li, X.: Re-weighted discriminatively embedded k-means for multi-view clustering. IEEE Trans. Image Process. 26(6), 3016\u20133027 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"5245_CR43","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.neucom.2023.01.028","volume":"528","author":"B Yang","year":"2023","unstructured":"Yang, B., Wu, J., Zhang, X., Lin, Z., Nie, F., Chen, B.: Robust anchor-based multi-view clustering via spectral embedded concept factorization. Neurocomputing 528, 136\u2013147 (2023)","journal-title":"Neurocomputing"},{"key":"5245_CR44","doi-asserted-by":"crossref","unstructured":"Liu, S., Wang, S., Zhang, P., Xu, K., Liu, X., Zhang, C., Gao, F.: Efficient one-pass multi-view subspace clustering with consensus anchors. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, pp. 7576\u20137584 (2022)","DOI":"10.1609\/aaai.v36i7.20723"},{"issue":"5","key":"5245_CR45","doi-asserted-by":"publisher","first-page":"3469","DOI":"10.1109\/TCYB.2020.3013136","volume":"52","author":"YJ Meng","year":"2020","unstructured":"Meng, Y.J., Lan, M.: Multiview consensus structure discovery. Trans. Cybern. 52(5), 3469\u20133482 (2020)","journal-title":"Trans. Cybern."},{"key":"5245_CR46","doi-asserted-by":"publisher","first-page":"106856","DOI":"10.1016\/j.neunet.2024.106856","volume":"182","author":"Z Dou","year":"2025","unstructured":"Dou, Z., Peng, N., Hou, W., Xie, X., Ma, X.: Learning multi-level topology representation for multi-view clustering with deep non-negative matrix factorization. Neural Netw. 182, 106856 (2025)","journal-title":"Neural Netw."},{"key":"5245_CR47","unstructured":"Cai, X., Nie, F., Huang, H.: Multi-view k-means clustering on big data. In: IJCAI, vol. 13, p. 2598 (2013)"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-025-05245-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-025-05245-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-025-05245-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T21:23:37Z","timestamp":1758144217000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-025-05245-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,30]]},"references-count":47,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["5245"],"URL":"https:\/\/doi.org\/10.1007\/s10586-025-05245-9","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"type":"print","value":"1386-7857"},{"type":"electronic","value":"1573-7543"}],"subject":[],"published":{"date-parts":[[2025,8,30]]},"assertion":[{"value":"9 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 February 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 March 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 August 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"603"}}