An Efficient Clustering Technique for Message Passing Between Data Points using Affinity Propagation
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
A wide range of clustering algorithms is available in literature and still an open area for researcher’s k-means algorithm is one of the basic and most simple partitioning clustering technique is given by Macqueen in 1967. A new clustering algorithm used in this paper is affinity propagation. The number of cluster k has been supplied by the user and the e ffinity propagation found clusters with much lower error than other methods, and it did so in less than one-hundredth the amount of time between data point. In this paper we make analysis on cluster algorithm k-means, e fficient k-means, and affinity propagation with colon dataset. And the result of affinity propagation shows much lower error when compare with other algorithm and the average accuracy is ood.
Authors and Affiliations
D. NAPOLEON , G. BASKAR , S. PAVALAKODI
Keywords
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- EP ID EP91907
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