End-to-End Incomplete Multiview Fuzzy Clustering With Adaptive Missing View Imputation and Cooperative Learning-Reference-Cited by-同舟云学术

End-to-End Incomplete Multiview Fuzzy Clustering With Adaptive Missing View Imputation and Cooperative Learning

Published:2023-05 Issue:5 Volume:31 Page:1445-1459
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Zhang Wei¹,Deng Zhaohong²^ORCID,Choi Kup-Sze³^ORCID,Wang Shitong¹^ORCID

Affiliation:

1. School of Artificial Intelligence and Computer Science, Jiangnan University and Jiangsu Key Laboratory of Media Design and Software Technology, Wuxi, China

2. School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China

3. Centre for Smart Health, Hong Kong Polytechnic University, Hong Kong

Funder

National Key R&D plan

National Natural Science Foundation of China

Six Talent Peaks Project in Jiangsu Province

Hong Kong Research Grants Council

Hong Kong Polytechnic University

Postgraduate Research and Practice Innovation Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/10114472/09873855.pdf?arnumber=9873855

Reference53 articles.

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3. Low-Rank Tensor Regularized Fuzzy Clustering for Multiview Data

4. A Unified Collaborative Multikernel Fuzzy Clustering for Multiview Data

5. Efficient and effective incomplete multi-view clustering;liu;Proc AAAI Conf Artif Intell,0

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