Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter-Reference-Cited by-同舟云学术

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Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter

Published:2023-12-01 Issue:12 Volume:35 Page:12842-12854
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Li Liang¹^ORCID,Zhang Junpu¹^ORCID,Wang Siwei¹^ORCID,Liu Xinwang¹^ORCID,Li Kenli²^ORCID,Li Keqin³^ORCID

Affiliation:

1. School of Computer, National University of Defense Technology, Changsha, Hunan, China

2. College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China

3. Department of Computer Science, State University of New York, New Paltz, NY, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10311056/10109823.pdf?arnumber=10109823

Reference54 articles.

1. Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview

2. Graph Structure Fusion for Multiview Clustering

3. Deep partial multi-view learning;zhang;IEEE Trans Pattern Anal Mach Intell,2022

4. Graph Learning for Multiview Clustering

5. Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization

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