Table 2.
The performance of different data transformation methods*.
| Measure | Estimated λ** | λ = 1 | Inverse (λ = -1) | Cube-root (λ = 1/3) | Square-root (λ = 1/2) | Square (λ = 2) | Log |
|---|---|---|---|---|---|---|---|
| Resnik(AVG) | 0.878 | 0 | -*** | 0.645 | 0.370 | 0 | - |
| Lin(AVG) | 0.890 | 0 | - | 0.659 | 0.474 | 0 | - |
| RS(AVG) | 0.925 | 0 | - | 0.632 | 0.355 | 0 | - |
| Jiang(AVG) | 0.812 | 0 | 0.081 | 0 | 0 | 0 | 0.002 |
| Resnik(BMA) | 0.938 | 0.661 | - | 0.025 | 0.248 | 0 | - |
| Lin(BMA) | 0.940 | 0.706 | - | 0.012 | 0.156 | 0.002 | - |
| RS(BMA) | 0.927 | 0.650 | - | 0.004 | 0.042 | 0.001 | - |
| Jiang(BMA) | 0.010 | 0 | 0 | 0 | 0 | 0 | 0 |
| TO | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| NTO | 0.555 | 0.001 | 0 | 0.366 | 0.478 | 0 | 0.009 |
| Dice | 0.926 | 0.014 | 0 | 0.384 | 0.890 | 0 | 0.001 |
| Kappa | 0.896 | 0.010 | - | 0.518 | 0.866 | 0 | - |
| GIC | 0.552 | 0 | - | 0.096 | 0 | 0 | - |
| VSM | 0.291 | 0 | - | 0.006 | 0 | 0 | - |
* The numbers in the table represent the percentages of the scores that fitted normal distributions after data transformation, among all group pairs with different length combinations.
** λ was estimated by the method described in the Methods section.
*** "-" indicates the transformation method was not suitable for the similarity measure.