资源说明:In this paper, a two-stage genetic clustering algorithm (TGCA) is proposed. This algorithm can automatically determine the proper number of clusters and the proper partition from a given data set. The two-stage selection and mutation operations are implemented to exploit the search capability of the algorithm by changing the probabilities of selection and mutation according to the consistence of the number of clusters in the population. First, the TGCA focuses on the search of the best number of
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