Pca, Principal Components, Dimensionality Reduction, Eigenvectors, Eigenvalue.
able to explain the 99.9% variance in the data. Do you remember that in the raw data the x-variable was only able to explain 76% of the variance? Here is another interesting observation. People say my PCA is able to cover 80% of the variance but where is variance lost, remember we only translated