Auto-weighted Tensor Schatten p-Norm for Robust Multi-view Graph Clustering-Reference-Cited by-同舟云学术

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Auto-weighted Tensor Schatten p-Norm for Robust Multi-view Graph Clustering

Published:2023-02 Issue: Volume:134 Page:109083
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Li Xingfeng^ORCID,Ren Zhenwen^ORCID,Sun Quansen,Xu Zhi

Funder

Guangxi Natural Science Foundation

Zhejiang University

State Key Laboratory of Computer Aided Design and Computer Graphics

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. A novel consensus learning approach to incomplete multi-view clustering;Liu;Pattern Recognit,2021

2. Kernel two-dimensional ridge regression for subspace clustering;Peng;Pattern Recognit,2021

3. (????).

4. Auto-weighted multi-view clustering via deep matrix decomposition;Huang;Pattern Recognit,2020

5. Multi-view spectral clustering via common structure maximization of local and global representations;Hao;Neural Networks,2021

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