Machine Learning, Data Science, Business, Science, Technology.
Cov[X2,X2]. C: Find the Eigenvectors and EigenValues of the Covariance matrix : Next, we calculate eigenvalues and eigenvectors for the covariance matrix. The matrix here is a square matrix A. ƛ is an eigenvalue for a matrix A if we get equation given below: det( ƛI — A ) = 0, Here, I is the