Genetic Algorithm Optimized Fuzzy C-Means Clustering with MATLAB Implementation

MATLAB source code for fuzzy C-means clustering enhanced by genetic algorithm. The standard fuzzy C-means (FCM) algorithm often converges to local minima, which is addressed by integrating genetic algorithm optimization. The implementation first uses genetic algorithm to determine optimal initial cluster centers, then applies the standard FCM algorithm to achieve superior classification results, featuring population initialization, fitness evaluation, and crossover/mutation operations.