Pca Analysis, Eigenvectors.
Component. Section 2- How to reduce dimensions while retaining as much information as possible. The next step is to project your data to a new sets of features. You will be using the Eigenvectors and Eigenvalues in this step, let’s denote the Eigenvectors with U and the Eigenvalues with S. First,