University of Washington - Department of Statistics
One of the fundamental goals of nonparametric cluster analysis is to estimate the cluster tree of a density. I will define and illustrate the cluster tree and describe a graph-based procedure for its estimation. The cluster tree will usually have spurious leaves due to variability in the density estimate. I will introduce a bootstrap-based method for eliminating spurious leaves and â€œclustering with confidenceâ€.