Table 4.
Case III: performance of PMFA, MFA and PMND for five simulation set-ups
| Method | Set-up 0 |
Set-up 1 |
Set-up 2 |
Set-up 3 |
Set-up 4 |
|||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| μ2 = 0, c = 0 |
μ2 = 4.5, c = 1 |
μ2 = 4.5, c = 2 |
μ2 = 6.0, c = 1 |
μ2 = 6.0, c = 2 |
||||||||||||
| ĝ | N | z1 | z2 | N | z1 | z2 | N | z1 | z2 | N | z1 | z2 | N | z1 | z2 | |
| 1 | 50 | 20 | 80 | 4 | 0 | 34.8 | – | – | – | – | – | – | – | – | – | |
| 2 | – | – | – | 20 | 0 | 46.8 | 37 | 0 | 52.9 | 29 | 0 | 51.8 | 26 | 0 | 53.1 | |
| PMFA | 3 | – | – | – | 26 | 0 | 57.9 | 13 | 0 | 58.5 | 21 | 0 | 59.5 | 24 | 0 | 67.7 |
| 4 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | |
| 5 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | |
| 1 | 50 | 0 | 0 | 49 | 0 | 0 | 49 | 0 | 0 | 45 | 0 | 0 | 41 | 0 | 0 | |
| 2 | – | – | – | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 0 | 9 | 0 | 0 | |
| MFA | 3 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
| 4 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | |
| 5 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | |
| 1 | 50 | 20 | 80 | – | – | – | – | – | – | – | – | – | – | – | – | |
| 2 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | |
| PMND | 3 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
| 4 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | |
| 5 | – | – | – | 50 | 0 | 35.3 | 50 | 0 | 30.4 | 50 | 0 | 28.8 | 50 | 0 | 53.4 | |
Among K = 100 variables, K1 = 20 were informative; among n = 100 observations, n1 = 60 were in one cluster. N represents the number of datasets identified with ĝ clusters; z1 and z2 represent the average number of deleted informative and noise variables, respectively, among datasets identified with ĝ clusters.