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Clustering Ensemble Based on Hybrid Multiview Clustering
Yu, Zhiwen1,2; Wang, Daxing2; Meng, Xian Bing1; Philip Chen, C. L.1,3
2022-07-01
Source PublicationIEEE Transactions on Cybernetics
ISSN2168-2267
Volume52Issue:7Pages:6518-6530
AbstractAs an effective method for clustering applications, the clustering ensemble algorithm integrates different clustering solutions into a final one, thus improving the clustering efficiency. The key to designing the clustering ensemble algorithm is to improve the diversities of base learners and optimize the ensemble strategies. To address these problems, we propose a clustering ensemble framework that consists of three parts. First, three view transformation methods, including random principal component analysis, random nearest neighbor, and modified fuzzy extension model, are used as base learners to learn different clustering views. A random transformation and hybrid multiview learning-based clustering ensemble method (RTHMC) is then designed to synthesize the multiview clustering results. Second, a new random subspace transformation is integrated into RTHMC to enhance its performance. Finally, a view-based self-evolutionary strategy is developed to further improve the proposed method by optimizing random subspace sets. Experiments and comparisons demonstrate the effectiveness and superiority of the proposed method for clustering different kinds of data.
KeywordCluster ensemble ensemble learning multiview clustering random subspace transformation
DOI10.1109/TCYB.2020.3034157
URLView the original
Language英語English
Scopus ID2-s2.0-85097949541
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Guangdong University of Technology, School of Computers, Guangzhou, 510006, China
2.South China University of Technology, School of Computer Science and Engineering, Guangzhou, 510006, China
3.University of Macau, Faculty of Science and Technology, 99999, Macao
Recommended Citation
GB/T 7714
Yu, Zhiwen,Wang, Daxing,Meng, Xian Bing,et al. Clustering Ensemble Based on Hybrid Multiview Clustering[J]. IEEE Transactions on Cybernetics,2022,52(7):6518-6530.
APA Yu, Zhiwen,Wang, Daxing,Meng, Xian Bing,&Philip Chen, C. L..(2022).Clustering Ensemble Based on Hybrid Multiview Clustering.IEEE Transactions on Cybernetics,52(7),6518-6530.
MLA Yu, Zhiwen,et al."Clustering Ensemble Based on Hybrid Multiview Clustering".IEEE Transactions on Cybernetics 52.7(2022):6518-6530.
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