Data Clustering Using Bee Colony Optimization
Khadijeh Keshtkar, Abolfazl Toroghi Haghighat, Rana Forsati · International Multi-Conference on Computing in Global Information Technology · 2012
The paper presents a comparative analysis of data clustering by Bee Colony Optimization (BCO) technique. Experiments over a standard benchmark demonstrate that applying Bee Colony Optimization in the context of clustering is a feasible approach and improves the clustering results. Superiority of the proposed algorithm is demonstrated by comparing it with some recently developed partitional clustering techniques. Keywords-Clustering; Swarm Intelligence; Function Optimization.