Weighted adaptively ensemble clustering method based on fuzzy Co-association matrix-Reference-Cited by-同舟云学术

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Weighted adaptively ensemble clustering method based on fuzzy Co-association matrix

Published:2024-03 Issue: Volume:103 Page:102099
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Bian Zekang^ORCID,Qu Jia,Zhou Jie,Jiang Zhibin,Wang Shitong

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference54 articles.

1. A Differentiable perspective for multi-view spectral clustering with flexible extension;Lu;IEEE Trans. Pattern Anal. Mach. Intell.,2023

2. Learning representation for clustering via prototype scattering and positive sampling;Huang;IEEE Trans. Pattern Anal. Mach. Intell.,2023

3. Collaborative structure and feature learning for multi-view clustering;Yan;Inf. Fusion,2023

4. Fuzzy clustering to identify clusters at different levels of fuzziness: an evolutionary multiobjective optimization approach;Gupta;IEEE Trans. Cybern.,2021

5. Hierarchical topology-based cluster representation for scalable evolutionary multiobjective clustering;Zhu;IEEE Trans. Cybern.,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A feasible solution model for manifold clustering;Engineering Applications of Artificial Intelligence;2024-08

2. Clustering ensemble based on multiscale cluster reliability;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05

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