An ant-based algorithm for clustering

In this paper, we propose a new ant based clustering algorithm. The algorithm takes inspiration from the sound communication properties of real ants. Artificial ants communicate directly with each others in order to merge similar group of objects. The proposed algorithm was tested and evaluated. The obtained results are very encouraging in comparison with the famous k-means and some ant based clustering algorithms.