To Improve the Convergence Rate of K-Means Clustering Over K-Means with Weighted Page Rank Algorithm
نویسندگان
چکیده
The proposed work represents ranking based method that improved K-means clustering algorithm performance and accuracy. In this we have also done analysis of K-means clustering algorithm, one is the existing Kmeans clustering approach which is incorporated with some threshold value and second one is ranking method which is weighted page ranking applied on K-means algorithm, in weighted page rank algorithm mainly in links and out links are used and also compared the performance in terms of execution time of clustering. Proposed ranking based K-means algorithm produces better results than that of the existing k-means algorithm.
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تاریخ انتشار 2013