Robust interval type-2 kernel-based possibilistic fuzzy deep local information clustering driven by Lambert-W function
Author:
Funder
National Natural Science Foundation of China
Shaanxi Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-023-02910-1.pdf
Reference56 articles.
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3. Bezdek, J.C., Ehrlich, R., Full, W.: FCM: The fuzzy c-means clustering algorithm. Comput. Geosci. 10(2), 191–203 (1984). https://doi.org/10.1016/0098-3004(84)90020-7
4. Dang, T.H., Mai, D.S., Ngo, L.T.: Multiple kernel collaborative fuzzy clustering algorithm with weighted super-pixels for satellite image land-cover classification. Eng. Appl. Artif. Intell. 85, 85–98 (2019). https://doi.org/10.1016/j.engappai.2019.05.004
5. Cheng, H., Qian, Y., Wu, Y., Guo, Q., Li, Y.: Diversity-induced fuzzy clustering. Int. J. Approx. Reasoning. 106, 89–106 (2019). https://doi.org/10.1016/j.ijar.2018.12.010
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