Figure 1
From: Consensus clustering and functional interpretation of gene-expression data
Pairwise comparison of consistency between different cluster algorithm data partitions using the weighted-kappa metric (Table 1) to score similarity. Each clustering algorithm was used to analyze the Amersham Score Card dataset (black bars) and the B-cell lymphoma dataset (gray bars), and the cluster-method agreement based on assigning the same genes to the same cluster was calculated and scored. HC, hierarchical clustering; CAST, cluster affinity search technique; PAM, partitioning around medoids; and SA, simulated annealing.