Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
essentially swapped). We can see that it helps to understand the local structures of a graph to find good cuts. Clearly the cut from the right graph is better than the left graph resulting a lower (better) conductance (source) Now, what does this have to do with the Laplacian matrix and