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Clustering is an important tool in data mining process. Fuzzy $$c$$ c -means is one of the most classic methods. But it has been criticized that it is sensitive to the initial cluster centers and is easy to fall into a local optimum. Not depending on the selection of the initial population, evolutionary algorithm is used to solve the problems existed in original fuzzy $$c$$ c -means...
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