Abstract
The x-means divides a set of objects without determining the number of clusters by using iterative k-means and evaluation criteria.A series of cluster validity measures is also used in order to evaluate the clustering results and determine suitable number of clusters. We propose cluster validity measures based x-means by introducing cluster validity measures instead of information criteria.We moreover show the effectiveness of the proposed methodthrough numerical examples.