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In this paper, we combine differential evolution with particle swarm intelligence as a hybrid evolution algorithm to improve the performance of conventional spectral clustering. Traditional k-means method at the final step of spectral clustering is easily to converge into local optimal, since it is sensitive to initial centroids. In our proposed algorithm, we first map original dataset into the lower-dimensional...
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