Skip to main content

Table 2 Algorithms ranked by quartile comparisons

From: A systematic comparison of genome-scale clustering algorithms

  Average Quartile Small (3-10 genes) Medium (11-100 genes) Large (101-1000 genes)
Clustering Method   Quartile BAT5 Jaccard Quartile BAT5 Jaccard Quartile BAT5 Jaccard
K-Clique Communities 1.00 1 0.7531 1 0.4465 1 0.4915
Maximal Clique 1.00 1 0.8433 1 0.4081   0.0000
Paraclique 1.00 1 0.7576 1 0.4285 1 0.4169
Ward (H) 1.33 2 0.5782 1 0.4011 1 0.5723
CAST 1.67 1 0.7455 3 0.3146 1 0.4994
QT Clust 2.00 2 0.5473 2 0.3670 2 0.3944
Complete (H) 2.33 3 0.3933 2 0.3677 2 0.3419
NNN 2.67 2 0.5521 2 0.3705 4 0.2406
K-Means 3.00 4 0.2573 3 0.3015 2 0.3463
SOM 3.00 4 0.3260 2 0.3286 3 0.3282
WGCNA 3.00 3 0.4391 3 0.3106 3 0.2949
Average (H) 3.33 3 0.4087 4 0.2792 3 0.3037
McQuitty (H) 3.33 3 0.4594 3 0.3065 4 0.2868
CLICK 4.00 4 0.0339 4 0.1453 4 0.2817
  1. Results from Figure 1 are displayed by quartile (1 = top 25% - 4 = bottom 25%), with missing values for maximal clique discarded. (H) denotes Hierarchical Clustering agglomeration method.