Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information-Reference-Cited by-同舟云学术

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Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information

Published:2024-11 Issue: Volume:179 Page:106563
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Zheng Qun^ORCID,Yang Xihong,Wang Siwei,An Xinru,Liu Qi^ORCID

Funder

National Aerospace Science Foundation of China

National Natural Science Foundation of China

University of Science and Technology of China

State Key Laboratory of Remote Sensing Science

Collaborative Innovation Center for Particles and Interactions, USTC

University of Electronic Science and Technology of China

National Key Clinical Specialty Discipline Construction Program of China

Publisher

Elsevier BV

Reference64 articles.

1. Chen, M.-S., Huang, L., Wang, C.-D., & Huang, D. (2020). Multi-view clustering in latent embedding space. Vol. 34, In Proceedings of the AAAI conference on artificial intelligence (04), (pp. 3513–3520).

2. Relaxed multi-view clustering in latent embedding space;Chen;Information Fusion,2021

3. A simple framework for contrastive learning of visual representations;Chen,2020

4. Cheng, J., Wang, Q., Tao, Z., Xie, D., & Gao, Q. (2021). Multi-view attribute graph convolution networks for clustering. In Proceedings of the twenty-ninth international conference on international joint conferences on artificial intelligence (pp. 2973–2979).

5. Gao, Q., Xia, W., Wan, Z., Xie, D., & Zhang, P. (2020). Tensor-SVD based graph learning for multi-view subspace clustering. Vol. 34, In Proceedings of the AAAI conference on artificial intelligence (04), (pp. 3930–3937).

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