Table 12.
Performance comparison with DyCluster method on MIPS dataset and gene expression data using CYC2008 as benchmark
| P | R | F | Sn | PPV | Acc | |
|---|---|---|---|---|---|---|
| Our method | 0.467 | 0.324 | 0.382 | 0.245 | 0.662 | 0.403 |
| DyCluster + ClusterONE | 0.157 | 0.27 | 0.198 | 0.301 | 0.597 | 0.424 |
| DyCluster + COAN | 0.39 | 0.216 | 0.278 | 0.223 | 0.601 | 0.366 |
| DyCluster + COACH | 0.304 | 0.216 | 0.252 | 0.24 | 0.522 | 0.354 |
| DyCluster + CMC | 0.363 | 0.174 | 0.235 | 0.199 | 0.572 | 0.337 |
| DyCluster + HUNTER | 0.421 | 0.123 | 0.19 | 0.195 | 0.527 | 0.321 |
| DyCluster + MCL | 0.156 | 0.11 | 0.129 | 0.232 | 0.275 | 0.253 |
F: F-score, P: precision, R: recall. The highest score of each row is shown in bold