A Novel Clustering Based on the Immune Evolutionary Algorithm
作者： Zhong Wei
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摘要: A novel clustering algorithm is developed by using immune evolutionary method after analyzing the advantages and disadvantages of classical GA-based algorithm.It not only avoids local optima robust to initialization,but also evidently restrains degenerating phenomenon during process.The experimental results show that correct ratio our higher than 8～16 percent.
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