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Entropy-based intuitionistic fuzzy C-means clustering

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Utilizing the advantages of the intuitionistic fuzzy sets and fuzzy sets, which are combined in the proposed method, to overcome some drawbacks of the conventional FCM in handling uncertainties or hesitant and also resolve the fuzziness. Experimental results show that the proposed algorithm is better than the traditional fuzzy clustering algorithms.