Table 4.
Numerical results for three tissue-based regression, and only GM-based, by RVR and SVR, with four feature extraction methods.
Mean Square Errors | |||||
---|---|---|---|---|---|
Features | Regional Clusters | LDA | PCA | ISOMAP | |
Data and Methods | |||||
GM, WM and CSF | RVR | 10.8338 | 12.0522 | 12.5166 | 18.6454 |
SVR | 11.3696 | 12.1237 | 12.8206 | 18.8331 | |
GM only | RVR | 11.5445 | 12.2853 | 12.7153 | 20.4922 |
SVR | 12.319 | 12.6366 | 13.0917 | 23.6831 | |
Correlation Coefficients | |||||
GM, WM and CSF | RVR | 0.75775 | 0.72625 | 0.71559 | 0.53958 |
SVR | 0.75017 | 0.7244 | 0.71466 | 0.52889 | |
GM only | RVR | 0.73868 | 0.72543 | 0.71978 | 0.51375 |
SVR | 0.72429 | 0.72542 | 0.71561 | 0.28605 |