Data Science, Machine Learning, Graph Theory.
works ! To perform a spectral clustering we need 3 main steps: Create a similarity graph between our N objects to cluster. Compute the first k eigenvectors of its Laplacian matrix to define a feature vector for each object. Run k-means on these features to separate objects into k classes. Step 1: A