Fig. 2
From: Cluster analysis of replicated alternative polyadenylation data using canonical correlation analysis
Evaluation of PASCCA on real poly(A) site data in rice using hierarchical clustering. Standardized cluster validation scores for various performance indexes with increasing number of clusters were calculated, including CON (a), DUNN (b), AD (c), ADM (d), and BHI (e). Without knowing the true number of clusters in a given data set, variable number of clusters ranging from 5 to 20 was set. Comparison of performances with the estimated number of clusters for each method was shown in (f). Larger score indicates better performance. CON, connectivity; DUNN, Dunn index; AD, average distance; ADM, average distance between means; BHI, biological homogeneity index