Cluster analysis for two-level data sets: Classifying tree species from individual measurements

► Classifying populations using individual data should depend on individual variability. ► The k-means algorithm for populations does not depend on individual variability. ► An extension of Ward's variance criterion can be used to classify two-level datasets. ► The two-level classification adapts the size and shape of clusters.