To Improve the Convergence Rate of K-Means Clustering Over K-Means with Weighted Page Rank Algorithm

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
The proposed paper represents ranking based method that improved K-means clustering algorithm performance and accuracy. In this the authors have also done analysis of K-means clustering algorithm, one is the existing K-means 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.
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