Table 2 Parameters for clustering algorithms
From: Supervised maximum-likelihood weighting of composite protein networks for complex prediction
Clustering algorithm | Parameter settings |
|---|---|
CMC | min deg ratio = 1, min size = 4, overlap thres = 0.5, merge thres = 0.25 |
| Â | min deg ratio = 1, min size = 4, overlap thres = 0.5, merge thres = 0.5 |
| Â | min deg ratio = 1, min size = 4, overlap thres = 0.5, merge thres = 0.75 |
HACO | -c c 1 -g 0.1 |
| Â | -c c 1 -g 0.3 |
| Â | c c 0.75 -g 0.1 |
MCL | -I 2 |
| Â | -I 3 |
| Â | -I 4 |
ClusterONE | -s 4 -d 0 |
IPCA | -S4 -P2 -T0.4 |
RNSC | -e10 -D50 -d10 -t20 -T3 |