Pca, Principal Components, Dimensionality Reduction, Eigenvectors, Eigenvalue.
in place of the raw data. Let us now relate these practical observations to different concepts and understand them. Eigenvectors and Eigenvalues Firstly there is a need to understand that eigenvectors and eigenvalues are nothing without a given matrix. So in PCA, the matrix that we use is the