PCA
The PCA experiment is done. Here's the results:
| ank14v1 | mfc20 | mfc-pca14 | |
| D-centroid | 4.07 | 4.79 | 4.80 |
| D-ALA | 4.37 | 4.57 | 4.68 |
PCA doesn't help, in fact it makes it worse. So it's not just the dimensionality reduction that makes ank14 better. More support for the anchor model approach.
Also, its interesting that D-ALA does better on mfc's but worse on anchor space. Not sure what to make of that. I guess it's consistent with what I found looking at the anchorspace plots: anchor space distributions look singly Gaussian, while cepstra-space distributions have a bit more shape, especially the first few coefficients.