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Clustering is one of the most widely used data mining techniques that can be used to create homogeneous clusters. K-means is one of the popular clustering algorithms that, despite its inherent simplicity, has also some major problems. One way to resolve these problems and improve the k-means algorithm is the use of evolutionary algorithms in clustering. In this study, the Imperialist Competitive Algorithm...
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