A Study on Automatic Estimation of the Number of Clusters in Network Clustering

Abstract

This study proposes an automatic estimation method for the number of clusters in network clustering. Based on the x-means algorithm, the proposed method estimates the number of clusters by using a partition criterion for network data. Numerical experiments were conducted to compare the proposed method with the Louvain method. The numerical experiments suggest that the proposed method achieves the same results as the Louvain method when Modularity is used.