Hehe. I somehow understand this even less than when I didn’t understand it when @tedmoore mentioned eigenvalues in the previous post.
Although it’s all quite speculative, the results (as per @tedmoore’s video above) are really promising, and “better than random”, as someone mentioned in their Q&A this past weekend.
From the looks of it, an SVM gives better results than an PCA for this, though the general idea is the same. As a kind of “figuring out which descriptors/stats may be worthwhile using at all”, which is something I was struggling with in this thread, where I arbitrarily (and tediously) tested all kinds of permutations trying to arrive at a similar conclusion.