Figure 4
Lower and upper bound for the TI. The cluster tree that is obtained when applying hierarchical agglomerative clustering to the primary data is shown in (a). The branches and leaves of the cluster tree are colored according to the given label. Missing values are colored in black. In (b) the labels are permuted r times. The cluster tree with the lowest TI (underlined) is an empirical estimation for TImin. The TIs are also used to compute the respective p-value. In (c) r ordered cluster trees and ordered labels are generated. The cluster tree with the highest TI (underlined) is an empirical estimation for TImax.