Multi-view clustering via joint feature selection and partially constrained cluster label learning
文献类型：期刊论文
| 作者 | Yin, Qiyue1 ; Zhang, Junge1; Wu, Shu1; Li, Hexi2
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 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. |
| WOS关键词 | SPARSE ; FRAMEWORK |
| 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研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000472697800029 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Guangdong Natural Science Foundation |
| 源URL | [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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。