Table 2.
Classification rates produced by a CVA after each of the three dimensionality reducing approaches considered
| 40 PC axes | PLS | Variable PC axes | ||||||
| Data acquisition | Data processing | RS rate | CV rate | RS rate | CV rate | # of axes used | RS rate | CV rate |
| Curve Tracing | Bending energy | 100 | 69.6 | 76.1 | 73.9 | 9 | 82.6 | 87.0 |
| Curve Tracing | Perpendicular projection | 100 | 69.6 | 87.0 | 73.9 | 13 | 89.1 | 84.8 |
| Curve Tracing | Elliptical Fourier analysis | 100 | 58.7 | 87.0 | 65.2 | 12 | 87.0 | 73.9 |
| Curve Tracing | Eigenshape analysis | 100 | 65.2 | 82.6 | 54.4 | 24 | 93.5 | 69.6 |
| Fan | Bending energy | 100 | 65.2 | 89.1 | 82.6 | 7 | 89.1 | 89.1 |
| Fan | Perpendicular projection | 100 | 78.3 | 89.1 | 82.6 | 7 | 93.5 | 89.1 |
In each case, the canonical variate axes were significant using a Wilk's lambda test at p < 0.005 or better. Resubstitution (RS) were higher than cross-validation (CV) rates for the fixed number of principal component (PC) axes and partial least squares (PLS) methods, and closer to equal for the variable PC axes method. All rates are listed as percentages.