Ants for Document Clustering
Priya Vaijayanthi, A.M. Natarajan, R. Murugadoss · 2012
The usage of computers for mass storage has become mandatory nowadays due to World Wide Web (WWW). This has placed many challenges to the Information Retrieval (IR) system. Clustering of documents available improves the efficiency of IR system. The problem of clustering has become a combinatorial optimization problem in IR system due to the exponential growth in information over WWW. In this paper, a hybrid algorithm that combines the basic Ant Colony Optimization with Tabu search has been proposed. The feasibility of the proposed algorithm is tested over a few standard benchmark datasets. The experimental results reveal that the proposed algorithm yields promising quality clusters compared to other ones produced by K-means algorithm.