Clustering with ant colony optimization and tabu search

Abstract

The article presents one of the most important data mining tasks, clustering. Clustering is the grouping of elements. The paper presents a clustering in which I used metaheuristics for grouping. In this paper, two popular metaheuristics, some algorithms for ant colony optimization and the tabu search algorithm, were used to solve the grouping problem. Test results show that the algorithms provide efficient clustering.