Improving Fuzzy C-Means Algorithm using Particle Swarm Optimization and Fuzzy C-Means++
Olga Chovancova, Lucia Piatriková, Adam Dudáš · 2019
The aim of the paper is to improve fuzzy particle swarm optimization. Our modification consists of modifying the hybrid fuzzy particle swarm optimization by replacing the random initialization of centers in the c-means fuzzy section with the FCM++ algorithm. We experimentally compared our modification with other nature-inspired meta-heuristic algorithms for fuzzy clustering.