Adriana Marcucci Bustos

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Clustering is a relevant problem that takes place in many practical environments. This paper presents some meta-heuristic approaches as an alternative to the traditional clustering techniques, like K-means or C-means. They are based on some metaheuristic optimization algorithms as tabu search, simulated annealing, genetic algorithms and ant colony. The(More)
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