Fig. 3
From: Clust: automatic extraction of optimal co-expressed gene clusters from gene expression data
Evaluation of the performance of clustering methods. a Similarity of clustering results generated by each pair of methods measured by the Adjusted Rand Index (ARI); 1.0 means exactly similar and 0.0 means completely dissimilar. b–d Evaluation of clustering performance over all 100 datasets. b The percentage of input genes that were included in clusters; c the average dispersion of clusters measured by weighted-averaging of individual cluster MSE values; d percentage of the overlap amongst clusters, as measured by the JI index. e Evaluation of clustering performance over all 100 datasets as measured by average rank across 7 cluster validation indices that clust does not directly optimize; the indices are Davies–Bouldin (DB) index, Bayesian information criterion (BIC), Silhouette, Calinski-Harabasz (CH) index, Ball and Hall (BH) index, Xu index, and within-between (WB) index (Additional file 2: Figures S4 to S11, Additional files 5, 6, and 9: Tables S3, S4 and S7)