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Consensus guided incomplete multi-view spectral clustering
Wen,Jie1; Sun,Huijie2,3; Fei,Lunke4; Li,Jinxing5; Zhang,Zheng6,7; Zhang,Bob1
2021-01
Source PublicationNeural Networks
ISSN0893-6080
Volume133Pages:207-219
Abstract

Incomplete multi-view clustering which aims to solve the difficult clustering challenge on incomplete multi-view data collected from diverse domains with missing views has drawn considerable attention in recent years. In this paper, we propose a novel method, called consensus guided incomplete multi-view spectral clustering (CGIMVSC), to address the incomplete clustering problem. Specifically, CGIMVSC seeks to explore the local information within every single-view and the semantic consistent information shared by all views in a unified framework simultaneously, where the local structure is adaptively obtained from the incomplete data rather than pre-constructed via a k-nearest neighbor approach in the existing methods. Considering the semantic consistency of multiple views, CGIMVSC introduces a co-regularization constraint to minimize the disagreement between the common representation and the individual representations with respect to different views, such that all views will obtain a consensus clustering result. Experimental comparisons with some state-of-the-art methods on seven datasets validate the effectiveness of the proposed method on incomplete multi-view clustering.

KeywordCo-regularization Incomplete Multi-view Clustering Manifold Learning Spectral Clustering
DOI10.1016/j.neunet.2020.10.014
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Neurosciences & Neurology
WOS SubjectComputer Science, Artificial Intelligence ; Neurosciences
WOS IDWOS:000596613900020
PublisherPERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
Scopus ID2-s2.0-85096686720
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Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorZhang,Bob
Affiliation1.PAMI Research Group,Department of Computer and Information Science,University of Macau,Taipa,Macao
2.Nanchang Institute of Technology,Nanchang,330044,China
3.Sun Yat-sen University,Guangzhou,510000,China
4.School of Computer Science and Technology,Guangdong University of Technology,Guangzhou,510006,China
5.School of Science and Engineering,Chinese University of Hong Kong (Shenzhen),Shenzhen,518000,China
6.Shenzhen Key Laboratory of Visual Object Detection and Recognition,Harbin Institute of Technology,Shenzhen,Shenzhen,518055,China
7.Peng Cheng Laboratory,Shenzhen,518055,China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wen,Jie,Sun,Huijie,Fei,Lunke,et al. Consensus guided incomplete multi-view spectral clustering[J]. Neural Networks,2021,133:207-219.
APA Wen,Jie,Sun,Huijie,Fei,Lunke,Li,Jinxing,Zhang,Zheng,&Zhang,Bob.(2021).Consensus guided incomplete multi-view spectral clustering.Neural Networks,133,207-219.
MLA Wen,Jie,et al."Consensus guided incomplete multi-view spectral clustering".Neural Networks 133(2021):207-219.
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