AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
Eigenvector 4: [[ 0.179 ] [-0.3178] [-0.3658] [ 0.6011]] Eigenvalue 4: -4.02e-17 5. Sort the eigenvectors by decreasing eigenvalues and pick the top k. After sorting the eigenpairs by decreasing eigenvalues, it is now time to construct our d×k dimensional eigenvector matrix (let’s call it W) based