Recently, the concept of clustering stability has become popular for selecting the number of clusters in cluster analysis. We develop a method for estimating the clustering instability based on the bootstrap, and propose to choose the number of clusters as the one minimizing the clustering instability. The idea can also be applied to select tuning parameters in some regularized cluster analysis procedures.