Multi-view Clustering via Pairwise Sparse Subspace Representation. Neurocomputing

CASIA OpenIR > 模式识别实验室

	Multi-view Clustering via Pairwise Sparse Subspace Representation. Neurocomputing
	Qiyue Yin; Shu Wu; Ran He(赫然); Liang Wang; Wu, Shu
发表期刊	NEUROCOMPUTING
	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	被引频次：97[WOS] [WOS记录] [WOS相关记录]
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.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Multi-view clusterin（1292KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览