Table 2 Performance on synthetic data with varying (ℓ, d).
From: Fast motif recognition via application of statistical thresholds
(ℓ, d) | sMCL-WMR | MCL-WMR | PROJECTION | Voting | PMSprune |
|---|---|---|---|---|---|
(10, 2) | 15 | 1020 | 56 (98%) | < 1 | 12 |
(12, 3) | 24 | 2780 | 321 (85%) | 28.4 | 23 |
(14, 4) | 98 | 3120 | 658 (75%) | 412 | 102 |
(16, 5) | 253 | 4101 | 1312 (80%) | 1620 | 520 |
(18, 6) | 632 | 10202 | 2200 (85%) | 4210 | 33560 |
(20, 7) | 1203 | - | 2700 (75%) | 20021 | - |
(25, 9) | 1502 | - | - | - | - |
(28, 12) | 1691 | - | - | - | - |
(30, 14) | 2002 | - | - | - | - |