The improvements we have made are to get the optimal K value, to obtain the initial cluster centers and to calculate the distance by the feature weight. Meanwhile, to cater to the characters of dataset, the IWK-means algorithm uses the principal component analysis (PCA) method as a pretreatment to reduce the dimension of dataset. Finally, the proposed method is experimentally validated on the datasets from the UCI Machine Learning Repository and compared with the existing clustering algorithms

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... y the two evaluation criteria of Rand Index and Adjusted Rand Index