Multi-view clustering via joint feature selection and partially constrained cluster label learning

doi:10.1016/j.patcog.2019.04.024

	Multi-view clustering via joint feature selection and partially constrained cluster label learning
	Yin, Qiyue1 ; Zhang, Junge1 ; Wu, Shu1 ; Li, Hexi 2
刊名	PATTERN RECOGNITION
	2019-09-01
卷号	93 页码:380-391
关键词	Multi-view clustering Feature selection Prior information Cluster indicator
ISSN号	0031-3203
DOI	10.1016/j.patcog.2019.04.024
通讯作者	Zhang, Junge(jgzhang@nlpr.ia.ac.cn) ; Li, Hexi()
英文摘要	Real world data are often represented by multiple distinct feature sets, and some prior knowledge is provided, such as labels of some examples or pairwise constraints between several sample pairs. Accordingly, task of multi-view clustering arises from a complex information aggregation of multiple sources of feature sets and knowledge prior. In this paper, we propose to optimize the cluster indicator, which representing the class labels is an intuitive reflection of the clustering structure. Besides, the prior indicating the same level of semantics can be directly utilized guiding the learned clustering structure. Furthermore, feature selection is embedded into the above process to select views and features in each view, which leads to the most discriminative views and features chosen for every single cluster. To these ends, an objective is accordingly proposed with an efficient optimization strategy and convergence analysis. Extensive experiments demonstrate that our model performs better than the state-of-the-art methods. (C) 2019 Elsevier Ltd. All rights reserved.
资助项目	National Key Research and Development Program of China[2016YFB1001004] ; National Natural Science Foundation of China[61876181] ; Guangdong Natural Science Foundation[2016A030313003]
WOS关键词	SPARSE ; FRAMEWORK
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000472697800029
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Guangdong Natural Science Foundation
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/26146]
专题	中国科学院自动化研究所
通讯作者	Zhang, Junge; Li, Hexi
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 2.Wuyi Univ, Fac Intelligent Mfg, Jiangmen, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Yin, Qiyue,Zhang, Junge,Wu, Shu,et al. Multi-view clustering via joint feature selection and partially constrained cluster label learning[J]. PATTERN RECOGNITION,2019,93:380-391.
APA	Yin, Qiyue,Zhang, Junge,Wu, Shu,&Li, Hexi.(2019).Multi-view clustering via joint feature selection and partially constrained cluster label learning.PATTERN RECOGNITION,93,380-391.
MLA	Yin, Qiyue,et al."Multi-view clustering via joint feature selection and partially constrained cluster label learning".PATTERN RECOGNITION 93(2019):380-391.