Multi-view Clustering via Pairwise Sparse Subspace Representation. Neurocomputing | |
Qiyue Yin![]() ![]() ![]() ![]() ![]() | |
发表期刊 | NEUROCOMPUTING
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2015-05-25 | |
卷号 | 156期号:156页码:12-21 |
文章类型 | Article |
摘要 | Multi-view clustering, which aims to cluster datasets with multiple sources of information, has a wide range of applications in the communities of data mining and pattern recognition. Generally, it makes use of the complementary information embedded in multiple views to improve clustering performance. Recent methods usually find a low-dimensional embedding of multi-view data, but often ignore some useful prior information that can be utilized to better discover the latent group structure of multi-view data. To alleviate this problem, a novel pairwise sparse subspace representation model for multi-view clustering is proposed in this paper. The objective function of our model mainly includes two parts. The first part aims to harness prior information to achieve a sparse representation of each high-dimensional data point with respect to other data points in the same view. The second part aims to maximize the correlation between the representations of different views. An alternating minimization method is provided as an efficient solution for the proposed multi-view clustering algorithm. A detailed theoretical analysis is also conducted to guarantee the convergence of the proposed method. Moreover, we show that the must-link and cannot-link constraints can be naturally integrated into the proposed model to obtain a link constrained multi-view clustering model. Extensive experiments on five real world datasets demonstrate that the proposed model performs better than several state-of-the-art multi-view clustering methods. (C) 2015 Elsevier B.V. All rights reserved. |
关键词 | Multi-view Clustering Subspace Clustering Pairwise Sparse Representation |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | SEGMENTATION ; ALGORITHM ; ROBUST |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000351978100002 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/8104 |
专题 | 模式识别实验室 |
通讯作者 | Wu, Shu |
作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Qiyue Yin,Shu Wu,Ran He,et al. Multi-view Clustering via Pairwise Sparse Subspace Representation. Neurocomputing[J]. NEUROCOMPUTING,2015,156(156):12-21. |
APA | Qiyue Yin,Shu Wu,Ran He,Liang Wang,&Wu, Shu.(2015).Multi-view Clustering via Pairwise Sparse Subspace Representation. Neurocomputing.NEUROCOMPUTING,156(156),12-21. |
MLA | Qiyue Yin,et al."Multi-view Clustering via Pairwise Sparse Subspace Representation. Neurocomputing".NEUROCOMPUTING 156.156(2015):12-21. |
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