Learning robust graph for clustering-Reference-Cited by-同舟云学术

Learning robust graph for clustering

Published:2022-05-16 Issue:10 Volume:37 Page:7736-7766
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Liu Zheng¹,Jin Wei¹²,Mu Ying¹^ORCID

Affiliation:

1. College of Control Science and Engineering, Research Center for Analytical Instrumentation, Institute of Cyber‐Systems and Control, State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China

2. College of Control Science and Engineering Huzhou Institute of Zhejiang University Huzhou China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22901

Reference42 articles.

1. An empirical study of supervised email classification in Internet of Things: Practical performance and key influencing factors

2. MHAT: An efficient model-heterogenous aggregation training scheme for federated learning

3. NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network

4. Partial multiview clustering with locality graph regularization

5. CSRT rumor spreading model based on complex network

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