C<sup>2</sup>IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection-Reference-Cited by-同舟云学术

C²IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection

Author:

Huang Yanyong¹^ORCID,Shen Zongxin¹^ORCID,Cai Yuxin¹^ORCID,Yi Xiuwen²^ORCID,Wang Dongjie³^ORCID,Lv Fengmao⁴^ORCID,Li Tianrui⁴^ORCID

Affiliation:

1. School of Statistics, Southwestern University of Finance and Economics, Chengdu, China

2. JD Intelligent Cities Research and JD Intelligent Cities Business Unit, Beijing, China

3. College of Engineering and Computer Science, University of Central Florida, Orlando, FL, USA

4. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China

Funder

Youth Fund Project of Humanities and Social Science Research of Ministry of Education

National Natural Science Foundation of China

Southwestern University of Finance and Economics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

Reference49 articles.

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