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Python version of Differential Evolution algorithm applied for clustering problem
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Implementation of Artificial Bee Colony algorithm for data clustering with cluster representation and a global best neighborhood function
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Implemantation of ABC algorithm for data clustering with centroid representation of solutions, and graphic representation of iris data set
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克服K均值聚类算法易受初始聚类中心影响的缺点，优化K均值聚类算法(The K mean clustering algorithm is easily affected by the initial cluster center, and the K mean clustering algorithm is optimized.)
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