why do we not look at the covariance matrix when choosing between lda or qda which lda is better why we don't look at the matrix in lda difference between linear and quadratic discriminant analysis why do we use a covariance matrix why is it important for us to look at the variance matrix in lda and qda does quadratic discriminant analysis use the covariance matrix in lda what is the difference between lda and qda what is lda vs qda what is lda? how is it related to qda why do the models not use the covariance matrix why do we not consider the covariance matrix when choosing between lda or qda how do you find the variance matrix why is variance covariance nonlinear why is qda used instead of lda why do we not compare qda and lda? why is it necessary to look at the coefficients of covariance what is the difference between lda and qda why does qda use a covariance matrix? why is qda used for lda