Fig. 3
From: Cluster analysis of replicated alternative polyadenylation data using canonical correlation analysis
Validation scores on synthetic data sets with different number of experiments using hierarchical clustering. Standardized cluster validation scores for various cluster validation measures across a range of different number of clusters were calculated, including CON (a), DUNN (b), AD (c), and ADM (d). For each trial with a fixed number of experiments, ten data sets were randomly selected from the whole synthetic data set. The best number of clusters was estimated for each trial. The mean validation scores for trials performed on the 10 random data sets were plotted. The standard deviation is depicted as an error bar