Robust spectral embedded bilateral orthogonal concept factorization for clustering-Reference-Cited by-同舟云学术

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Robust spectral embedded bilateral orthogonal concept factorization for clustering

Published:2024-06 Issue: Volume:150 Page:110308
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Yang Ben^ORCID,Wu Jinghan^ORCID,Zhou Yu^ORCID,Zhang Xuetao^ORCID,Lin Zhiping^ORCID,Nie Feiping,Chen Badong^ORCID

Funder

National Postdoctoral Program for Innovative Talents

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi Province

Publisher

Elsevier BV

Reference38 articles.

1. A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects;Ezugwu;Eng. Appl. Artif. Intell.,2022

2. Adapt-InfoMap: Face clustering with adaptive graph refinement in InfoMap;Yu;Pattern Recognit.,2023

3. ECCA: Efficient correntropy-based clustering algorithm with orthogonal concept factorization;Yang;IEEE Trans. Neural Netw. Learn. Syst.,2023

4. Iteratively reweighted algorithm for fuzzy c-means;Xue;IEEE Trans. Fuzzy Syst.,2022

5. On the equivalence of nonnegative matrix factorization and spectral clustering;Ding,2005

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