Consensus Learning with Complete Graph Regularization for Incomplete Multi-view Clustering-Reference-Cited by-同舟云学术

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Consensus Learning with Complete Graph Regularization for Incomplete Multi-view Clustering

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Zhang Jie¹,Fei Lunke¹,Teng Shaohua¹,Zhu Qinghua¹,Imad Rida²,Wen Jie³

Affiliation:

1. School of Computer Science and Technology, Guangdong University of Technology,Guangzhou,China

2. University of Technology of Compiegne,Laboratory Biomechanics and Bioengineering,Compiegne,France

3. Harbin Institute of Technology,Laboratory Shenzhen Medical Biometrics Perception and Analysis Engineering,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10022049/10022014/10022269.pdf?arnumber=10022269

Reference24 articles.

1. Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering

2. Binary Multi-View Clustering

3. Partial Multi-View Clustering

4. A new simplex sparse learning model to measure data similarity for clustering;huang;Proceedings of the 24th International Conference on Artificial Intelligence,0

5. A novel consensus learning approach to incomplete multi-view clustering

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1. On the Utility of Parents' Historical Data to Investigate the Causes of Autism Spectrum Disorder: A Data Mining-Based Framework;IRBM;2023-08

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