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An algorithm for clustering based on non-smooth optimization techniques
journal contributionposted on 2003-11-01, 00:00 authored by A M Bagirov, A M Rubinov, N V Soukhoroukova, John YearwoodJohn Yearwood
The problem of cluster analysis is formulated as a problem of non-smooth, non-convex optimization, and an algorithm for solving the cluster analysis problem based on non-smooth optimization techniques is developed. We discuss applications of this algorithm in large databases. Results of numerical experiments are presented to demonstrate the effectiveness of this algorithm.