Algorithms for clustering data
Algorithms for clustering data
Multidimensional data clustering utilizing hybrid search strategies
Pattern Recognition
A new clustering algorithm with multiple runs of iterative procedures
Pattern Recognition
In search of optimal clusters using genetic algorithms
Pattern Recognition Letters
Interactive Pattern Recognition
Interactive Pattern Recognition
Tabu Search
Proceedings of the 3rd International Conference on Genetic Algorithms
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In this article, the metaheuristic algorithm, tabu search, is proposed to deal with the clustering problem under the criterion of minimum sum of squares clustering. The presented method integrates four moving operations and mutation operation into tabu search. Its superiority over local search clustering algorithms and another tabu clustering approach is extensively demonstrated for artificial and real life data sets.