okay so those are merely two examples of classical and supervised Ling methods but here what I've done is list seven different classes or methods that ensure that the energy outside the region of of data is higher than on the of data so I mentioned the one at the top I build a machine so that the volume of low energy stuff is constant and that's the case for PCA for k-means gas mixture model square C etc another one is you make your energy function very flexible but you think of it as the log of some probability and you do maximum