z-logo
open-access-imgOpen Access
Algorithm to forming a rule base for a fuzzy classifier designed on the basis of the K-means clustering algorithm and the whale optimization algorithm
Author(s) -
Nikolay Koryshev,
I. A. Hodashinsky
Publication year - 2021
Language(s) - English
DOI - 10.21293/1818-0442-2021-24-1-42-47
Subject(s) - cluster analysis , algorithm , computer science , fuzzy clustering , data mining , fuzzy rule , classifier (uml) , fuzzy logic , artificial intelligence , canopy clustering algorithm , pattern recognition (psychology) , fuzzy set
The article presents a description of the algorithm for generating fuzzy rules for a fuzzy classifier using data clustering, metaheuristic, and the clustering quality index, as well as the results of performance testing on real data sets.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here