Principal Component, Machine Learning, Artificial Intelligence, Linear Algebra, Data Science.
and eigenvalues of the covariance matrix. All we’re missing is the “over N” part, and that can be treated as multiplying the covariance matrix by a scalar 1/N. Scalars multiplying a matrix make a proportional change in the eigenvalues of the matrix of interest, so everything will be the same except