Improved Clustering using Hierarchical Approach
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - June Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-6 | ||
| Year of Publication : 2013 | ||
| Authors :Megha Gupta, Vishal Shrivastava |
Megha Gupta, Vishal Shrivastava "Improved Clustering using Hierarchical Approach"International Journal of Computer Trends and Technology (IJCTT),V4(6):1564-1566 June Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - This paper presents the methods for finding better and improved clusters using partitioning methods along with hierarchical methods. In this paper, k-means algorithm has been used for finding clusters and the resultant clusters are further divided using CFNG (Colored Farthest Neighbor Graph). The final clusters formed would be better and closed as compared to the clusters formed using k-means algorithm.
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Keywords —Data mining, K-means algorithm, CFNG