Tensor-Based Adaptive Consensus Graph Learning for Multi-View Clustering-Reference-Cited by-同舟云学术

Tensor-Based Adaptive Consensus Graph Learning for Multi-View Clustering

Published:2024-05 Issue:2 Volume:70 Page:4767-4784
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Guo Wei¹,Che Hangjun²^ORCID,Leung Man-Fai³^ORCID

Affiliation:

1. College of Electronic and Information Engineering, Southwest University, Chongqing, China

2. Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China

3. School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, Cambridge, U.K

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing, China

Science and Technology Research Program of Chongqing Municipal Education Commission

Open Fund of Key Laboratory of Cyber-Physical Fusion Intelligent Computing (South-Central Minzu University), State Ethnic Affairs Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10659242/10470448.pdf?arnumber=10470448

Reference74 articles.

1. Robust Recovery of Subspace Structures by Low-Rank Representation

2. Sparse Subspace Clustering: Algorithm, Theory, and Applications

3. Feature Weighted Multi-View Graph Clustering

4. Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach

5. Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering

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