Joint learning of fuzzy embedded clustering and non-negative spectral clustering-Reference-Cited by-同舟云学术

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Joint learning of fuzzy embedded clustering and non-negative spectral clustering

Published:2024-01-22 Issue:25 Volume:83 Page:66065-66086
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Ye Wujian,Wang Jiada^ORCID,Cai Yongda,Liu Yijun,Zhou Huihui,Chang Chin-chen

Funder

the Key Area R &D Program of Guangdong Province

the Guangdong Education Department in the Guangdong University of Technology under Grant

the Basic and Applied Basic Research Project of Guangzhou Basic Research Program under Grant

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17909-y.pdf

Reference48 articles.

1. Joe T (2022) An overview of cluster-based image search result organization: background, techniques, and ongoing challenges. Knowl Inf Syst 64:589–642

2. Oskouei AG, Hashemzadeh M, Asheghi B et al (2021) CGFFCM: cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation. Appl Soft Comput 113:108005

3. Zhang H, Li H, Chen N et al (2022) Novel fuzzy clustering algorithm with variable multi-pixel fitting spatial information for image segmentation. Pattern Recognit 121:108201

4. Zhang X, Sun Y, Liu H et al (2021) Improved clustering algorithms for image segmentation based on non-local information and back projection. Inf Sci 550:129–144

5. Jahan M, Hasan M (2021) A robust fuzzy approach for gene expression data clustering. Soft Comput 25(23):14583–14596

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