Without (arbitrary) scaling normalization PCA gives different results with change of dimensional units, that is principal components depend on choice of units or scaling.
Oh okay. I did know about that weakness of PCA. But it seems like in this case letting one prime factor correspond to one unit of distance is a nonarbitrary scaling, so I would expect PCA to give sensible results.
