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What is Optimizing Fuzzy Clustering with GA about?

This document discusses a kernel-based fuzzy c-means clustering algorithm based on genetic algorithm (GAKFCM). The GAKFCM aims to optimize fuzzy c-means clustering by using an improved genetic algorithm and kernel technique. First, an improved adaptive genetic algorithm is used to optimize the initial clustering centers. Then, the kernel-based fuzzy c-means algorithm guides the categorization to improve the clustering performance of fuzzy c-means. Simulation results using MATLAB show that GAKFCM overcomes l

Author

Selly Anastassia Amellia Kharis

Language

EN