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2011 International Conference on Business Computing and Global Informatization
In this paper, we present a hybrid clustering algorithm that combines divisive and agglomerative hierarchical clustering algorithm. Our method uses bisect K-means for divisive clustering algorithm and Unweighted Pair Group Method with Arithmetic Mean (UPGMA) for agglomerative clustering algorithm. First, we cluster the document collection using bisect K-means clustering algorithm with the value K', which is greater than the total number of clusters, K. Second, we calculate the centroids of K'doi:10.1109/bcgin.2011.62 fatcat:6mqzncyqerhutl3i6yvjblfu6a