Experimental Estimation Of Number Of Clusters Based On Cluster Quality

G. Hannah Grace, Kalyani Desikan
2014 Journal of Mathematics and Computer Science  
Text Clustering is a text mining technique which divides the given set of text documents into significant clusters. It is used for organizing a huge number of text documents into a well-organized form. In the majority of the clustering algorithms, the number of clusters must be specified apriori, which is a drawback of these algorithms. The aim of this paper is to show experimentally how to determine the number of clusters based on cluster quality. Since partitional clustering algorithms are
more » ... l-suited for clustering large document datasets, we have confined our analysis to a partitional clustering algorithm.
doi:10.22436/jmcs.012.04.06 fatcat:fna2l4xjgjazvplv3mi3g47toa