Two-Class LDA in 2 Dimensions: Computation 0/2 points (graded) As above, consider the setting of two-class LDA in ; that is, your data consist of two classes modeled as two Gaussians with the same covariance matrix. But for this problem, your data is in , and the estimated parameters are as follows: The covariance matrix has eigenvalues and with corresponding eigenvectors and . In diagonalized form, is