期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：6
页码：195-204
出版社：SERSC
摘要：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 by the two evaluation criteria of Rand Index and Adjusted Rand Index
