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《Computer Development & Applications》 2011-02
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Cluster Analysis based on Genetic Algorithm

Su Liangyu et al  
Genetic Algorithm is a optimized search approach which simulates the natural evolution,it can search the optimal solution only by fitness function.This paper introduce a cluster analysis algorithm which base on GA,it uses floating-point encoding method to encode the center of the cluster,and use Euclidean distance between the feature vector and the corresponding cluster center to determine the quality of clustering,it optimizes the encoding of the cluster centers by selection,crossover and mutation operations,it can obtain the cluster centers which can make the best clustering.Experimental results show that clustering use this method can reach satisfied results.
【CateGory Index】: TP18
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