Data Science, Linear Algebra, Dimensionality Reduction, Math.
out, the matrix “V” is the eigenvector matrix we needed! Therefore, if we were to do the same and project the data on to the principal components, we can completely skip the calculation of the covariance matrix because the following equation is just the altered equation of the SVD of the centered