Enhancing clustering quality of geo-demographic analysis using context fuzzy clustering type-2 and particle swarm optimization
We focused on improving clustering quality of Geo-Demographic Analysis. A novel interval type-2 fuzzy clustering algorithm was presented. It included some additional techniques to speed up the whole algorithm. The proposed method obtained better clustering quality than relevant algorithms. Suitable parameters for the best quality of the proposed algorithm were discussed.
geo-demographic analysis fuzzy clustering type-2 particle swarm optimization context clustering heuristic algorithms