Re-implement _normalized_graph_laplacian to instead compute the unnormalized version, or L = D - A, where A is the affinity / kernel matrix, and D is the diagonal matrix.
Created a new method unnormalized_graph_laplacian to compute unnormalized Laplacian L = D - W.
Also, computing generalized eigenvectors and eigenvalues now.
Re-implement
_normalized_graph_laplacian
to instead compute the unnormalized version, orL = D - A
, whereA
is the affinity / kernel matrix, andD
is the diagonal matrix.Feel free to rename the method so it makes sense.