baserunning it's easy to make the energy low on the samples it's higher to make it it's harder to make sure it's higher outside it's possible to interpret classic running algorithms in terms of sort of energy type models you know classic and supervisor algorithms like PCA or k-means or gets a mixture model or square ICA things like this those are two examples here for PCA and k-means so this is in two dimensions the variable has is just a vector with two dimensions and the energy function for 4k means is for PCA I'm sorry it's just the square