A novel efficient clustering algorithm based on possibilistic approach and kernel technique for image clustering problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03703-0.pdf
Reference59 articles.
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2. Stetco A, Zeng X-J, Keane J (2015). Fuzzy C-means++: Fuzzy C-means with effective seeding initialization. Expert Syst Appl 42(21):7541–7548
3. Cebeci Z, Yildiz F (2015) Comparison of k-means and fuzzy c-means algorithms on different cluster structures. J Agric Inf 6:13–23
4. Ruspini EH, Bezdek JC, Keller JM (2019) Fuzzy clustering: a historical perspective. IEEE Comput Intell Mag 14(1):45–55
5. Naderipoura M, Hossein M, Zarandia F, Bastanib S (2022) A fuzzy cluster-validity index based on the topology structure and node attribute in complex networks. Expert Syst Appl 187(115913):115913
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