An Optimized Gradient Dynamic-Neuro-Weighted-Fuzzy Clustering Method: Application in the Nutrition Field-Reference-Cited by-同舟云学术

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An Optimized Gradient Dynamic-Neuro-Weighted-Fuzzy Clustering Method: Application in the Nutrition Field

Published:2022-09-26 Issue:8 Volume:24 Page:3731-3744
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

El Moutaouakil Karim,Yahyaouy Ali,Chellak Saliha,Baizri Hicham

Funder

ADD && CNRST && MNEPTHESR

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s40815-022-01358-0.pdf

Reference59 articles.

1. Kriegel, H.-P., Kroger, P., Sander, J., Zimek, A.: Density-based clustering. WIREs Data Mining Knowl. Discov. 1(3), 231–240 (2011)

2. Govaert, G., Nadif, M.: Block clustering with bernoulli mixture models: comparison of different approaches. Comput. Stat. Data Anal. 52(6), 3233–3245 (2008)

3. Mirkin, B.: Mathematical Classification and Clustering. Kluwer Academic Publishers, New York (1996)

4. Hartuv, E., Shamir, R.: A clustering algorithm based on graph connectivity. Inf. Process. Lett. 76(4–6), 175–181 (2000)

5. Kohonen, T.: Self-organized formation of topologically correct feature maps. Biol. Cybern. 43(1), 59–69 (1982)

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