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Multi-view clustering via joint feature selection and partially constrained cluster label learning
Yin, Qiyue1; Zhang, Junge1; Wu, Shu1; Li, Hexi2
发表期刊PATTERN RECOGNITION
ISSN0031-3203
2019-09-01
卷号93页码:380-391
通讯作者Zhang, Junge(jgzhang@nlpr.ia.ac.cn) ; Li, Hexi()
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.
关键词Multi-view clustering Feature selection Prior information Cluster indicator
DOI10.1016/j.patcog.2019.04.024
关键词[WOS]SPARSE ; FRAMEWORK
收录类别SCI
语种英语
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] ; National Key Research and Development Program of China[2016YFB1001004] ; National Natural Science Foundation of China[61876181] ; Guangdong Natural Science Foundation[2016A030313003]
项目资助者National Key Research and Development Program of China ; National Natural Science Foundation of China ; Guangdong Natural Science Foundation
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000472697800029
出版者ELSEVIER SCI LTD
七大方向——子方向分类模式识别基础
引用统计
被引频次:22[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/173211/26146
专题智能系统与工程
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
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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.
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