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Knowl. Discov. Data"],"published-print":{"date-parts":[[2025,1,31]]},"abstract":"<jats:p>Incomplete multi-view clustering has gained considerable attention in recent years due to the prevalence of incomplete multi-view data in real-world applications. However, existing methods often struggle to effectively deal with large-scale datasets, particularly those with a significant number of missing instances. To address these issues, we propose a novel method called Hubness-Enabled Clustering and Recovery for Large-Scale Incomplete Multi-View Data (HENRI). HENRI utilizes the consensus hubs of all views to identify informative anchors to handle large-scale incomplete datasets. Furthermore, it incorporates a novel sample-level fusion strategy that effectively integrates information from all views, leading to remarkable outcomes in both cluster formation and missing data reconstruction. HENRI demonstrates exceptional capability in capturing the underlying structures of the data and recovering missing information, even when faced with a significant number of instances with incomplete data in partial views. To validate its effectiveness, we conducted experiments on 6 complete datasets and 31 incomplete datasets, comparing against 11 baseline methods. The results are impressive, demonstrating the superior performance of HENRI over the state-of-the-art methods.<\/jats:p>","DOI":"10.1145\/3694689","type":"journal-article","created":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T15:40:06Z","timestamp":1725464406000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Hubness-Enabled Clustering and Recovery for Large-Scale Incomplete Multi-View Data"],"prefix":"10.1145","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6240-8090","authenticated-orcid":false,"given":"Xiao","family":"Yu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan City, Shandong Province, China, and Shandong Key Laboratory of Lightweight Intelligent Computing and Visualization for Digital Economy, Jinan City, Shandong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3911-7751","authenticated-orcid":false,"given":"Hui","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan City, Shandong Province, China, and Shandong Key Laboratory of Lightweight Intelligent Computing and Visualization for Digital Economy, Jinan City, Shandong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1648-601X","authenticated-orcid":false,"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan City, Shandong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1809-0828","authenticated-orcid":false,"given":"Yuxiu","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan City, Shandong Province, China, and Shandong Key Laboratory of Lightweight Intelligent Computing and Visualization for Digital Economy, Jinan City, Shandong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0217-1543","authenticated-orcid":false,"given":"Caiming","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Software, Shandong University, Jinan City, Shandong Province, China, and Shandong Key Laboratory of Lightweight Intelligent Computing and Visualization for Digital Economy, Jinan City, Shandong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,11,29]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3151861"},{"issue":"1","key":"e_1_3_2_3_2","first-page":"7:1","article-title":"Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering","volume":"17","author":"Gu Zhibin","year":"2023","unstructured":"Zhibin Gu and Songhe Feng. 2023. 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Annalisa Appice, Pedro Pereira Rodrigues, V\u00edtor Santos Costa, Carlos Soares, Jo\u00e3o Gama, and Al\u00edpio Jorge (Eds.), Proceedings, Part I (Lecture Notes in Computer Science, Vol. 9284), Springer, 318\u2013334.","journal-title":"Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD \u201915"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3131749"},{"key":"e_1_3_2_35_2","first-page":"1","article-title":"Multiview clustering with incomplete views","volume":"224","author":"Trivedi Anusua","year":"2010","unstructured":"Anusua Trivedi, Piyush Rai, Hal Daum\u00e9 III, and Scott L. DuVall. 2010. Multiview clustering with incomplete views. In NIPS Workshop, Vol. 224. 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Brian Williams, Yiling Chen, and Jennifer Neville (Eds.), AAAI Press, 10078\u201310086.","journal-title":"37th AAAI Conference on Artificial Intelligence, AAAI \u201923, 35th Conference on Innovative Applications of Artificial Intelligence, IAAI \u201923, 13th Symposium on Educational Advances in Artificial Intelligence, EAAI \u201923"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903810"},{"key":"e_1_3_2_38_2","first-page":"3677","article-title":"Spectral perturbation meets incomplete multi-view data","author":"Wang Hao","year":"2019","unstructured":"Hao Wang, Linlin Zong, Bing Liu, Yan Yang, and Wei Zhou. 2019. Spectral perturbation meets incomplete multi-view data. In the 28th International Joint Conference on Artificial Intelligence, IJCAI \u201919. Sarit Kraus (Ed.), ijcai.org, 3677\u20133683.","journal-title":"the 28th International Joint Conference on Artificial Intelligence, IJCAI \u201919"},{"key":"e_1_3_2_39_2","first-page":"9766","article-title":"Highly-efficient incomplete largescale multiview clustering with consensus bipartite graph","author":"Wang Siwei","year":"2022","unstructured":"Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, and En Zhu. 2022. Highly-efficient incomplete largescale multiview clustering with consensus bipartite graph. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR \u201922. 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Susanne Boll, Kyoung Mu Lee, Jiebo Luo, Wenwu Zhu, Hyeran Byun, Chang Wen Chen, Rainer Lienhart, and Tao Mei (Eds.), ACM, 1794\u20131801.","journal-title":"2018 ACM Multimedia Conference on Multimedia Conference, MM \u201918"},{"key":"e_1_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3155499"},{"key":"e_1_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.110082"},{"key":"e_1_3_2_55_2","first-page":"1731","article-title":"Large scale spectral clustering using sparse representation based on hubness","author":"Ye Xiucai","year":"2018","unstructured":"Xiucai Ye, Hongmin Li, Tetsuya Sakurai, and Zhi Liu. 2018. Large scale spectral clustering using sparse representation based on hubness. In 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, SmartWorld\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI \u201918. Guojun Wang, Qi Han, Md. Zakirul Alam Bhuiyan, Xiaoxing Ma, Fr\u00e9d\u00e9ric Loulergue, Peng Li, Manuel Roveri, and Lei Chen (Eds.), IEEE, 1731\u20131737.","journal-title":"2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, SmartWorld\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI \u201918"},{"key":"e_1_3_2_56_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF01587086"},{"issue":"3","key":"e_1_3_2_57_2","first-page":"2671","article-title":"Incomplete Multi-View Clustering with Reconstructed Views","volume":"35","author":"Yin Jun","year":"2023","unstructured":"Jun Yin and Shiliang Sun. 2023. Incomplete Multi-View Clustering with Reconstructed Views. IEEE Trans. Knowl. Data Eng. 35, 3 (2023), 2671\u20132682.","journal-title":"IEEE Trans. Knowl. 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In the 25th International Joint Conference on Artificial Intelligence, IJCAI \u201916. 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