WIT Press


A Clustering Algorithm Using The Tabu Search Approach With Simulated Annealing

Price

Free (open access)

Paper DOI

10.2495/DATA000501

Volume

25

Pages

9

Published

2000

Size

798 kb

Author(s)

S.C. Chu & J.F. Roddick

Abstract

In this paper, an algorithm for cluster generation using tabu search approach with simulated annealing is proposed. The main idea of this algorithm is to use the tabu search approach to generate non-local moves for the clusters and apply the simulated annealing technique to select suitable current best solu- tion so that speed the cluster generation. Experimental results demonstrate the proposed tabu search approach with simulated annealing algorithm for cluster generation is superior to the tabu search approach with Generalised Lloyd algorithm. 1 Clustering Clustering is the process of grouping patterns into a number of clusters, each of which contains the patterns that are similar to each other in some way. The existing

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