Clustering, Spectral Clustering, Machine Learning, Data Science, Python.
insights into the underlying structures. The Laplacian matrix is crucial for extracting meaningful clusters using spectral techniques. 4. Eigendecomposition: The Laplacian matrix is decomposed into its eigenvectors and eigenvalues. The eigenvectors correspond to the cluster memberships of the data