摘要：In this paper we evaluated the two recently emerged resampling-based methods for estimation the number of clusters (if any) in a dataset. The first method is based on the concept of clustering stability while the second utilizes the ideas from discriminant analysis. These methods are compared using simulated and gene expression data from cancer microarray studies.
