Experimental Comparison of Clusters Number Estimation for Cluster Analysis
Lixin Guo · Jisuanji gongcheng · 2008
Estimation of clusters number is a crucial problem for applying robust Partitioning Around Medoid(PAM) clustering algorithm to gene expression data.This paper discusses seven methods of cluster validation for PAM algorithm and gives their experimental comparison on estimation of the clusters number,using simulated and real gene expression data that hold four different types of cluster structures.Experimental results show that the system evolution method and stability-based method give estimation accuracy of 90% and 100%.