版权说明 操作指南
首页 > 成果 > 详情

Multiview Data Clustering with Similarity Graph Learning Guided Unsupervised Feature Selection

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Li, Ni;Peng, Manman;Wu, Qiang
通讯作者:
Li, N
作者机构:
[Li, Ni; Li, N] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.
[Peng, Manman; Wu, Qiang] Hunan Univ, Coll Informat & Engineer, Changsha 410082, Peoples R China.
通讯机构:
[Li, N ] H
Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.
语种:
英文
关键词:
multiview data clustering;unsupervised feature selection;similarity graph
期刊:
Entropy
ISSN:
1099-4300
年:
2023
卷:
25
期:
12
页码:
1606-
基金类别:
N.L.: Conceptualization, Methodology, Software, Investigation, Formal Analysis, Writing—Original Draft, Writing—review and editing, Funding Acquisition; M.P.: Visualization, Validation, Data Curation, Supervision, Funding Acquisition; Q.W.: Investigation, Formal Analysis, Resources. All authors have read and agreed to the published version of the manuscript. This work is supported by the National key R&D Program of China (Grant 2017YFB0202901, 2017YFB0202905), the Hunan Natural Science Foundation Project (No. 2023JJ50353).
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
摘要:
In multiview data clustering, consistent or complementary information in the multiview data can achieve better clustering results. However, the high dimensions, lack of labeling, and redundancy of multiview data certainly affect the clustering effect, posing a challenge to multiview clustering. A clustering algorithm based on multiview feature selection clustering (MFSC), which combines similarity graph learning and unsupervised feature selection, is designed in this study. During the MFSC implementation, local manifold regularization is integrated into similarity graph learning, with the clus...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com