Table 2 Comparative performance of IFPA and other methods on three datasets
Dataset | Algorithm | PC | MPC | MKC | Perfect |
|---|---|---|---|---|---|
DIP | MCODE | 165 | 102 | 70 | 6 |
MCL | 1541 | 386 | 245 | 14 | |
ClusterONE | 972 | 329 | 197 | 15 | |
CORE | 1517 | 420 | 259 | 39 | |
CSO | 342 | 214 | 136 | 11 | |
COACH | 474 | 265 | 144 | 13 | |
IFPA | 935 | 425 | 219 | 47 | |
MIPS | MCODE | 135 | 72 | 60 | 4 |
MCL | 1259 | 254 | 196 | 17 | |
ClusterONE | 744 | 208 | 152 | 17 | |
CORE | 1217 | 303 | 225 | 29 | |
CSO | 246 | 127 | 87 | 6 | |
COACH | 396 | 145 | 92 | 5 | |
IFPA | 772 | 288 | 167 | 32 | |
Krogan | MCODE | 160 | 127 | 73 | 10 |
MCL | 658 | 300 | 178 | 40 | |
ClusterONE | 585 | 271 | 161 | 28 | |
CORE | 677 | 279 | 172 | 39 | |
CSO | 189 | 156 | 89 | 10 | |
COACH | 221 | 179 | 85 | 11 | |
IFPA | 447 | 288 | 131 | 21 |