Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
how do we use this idea of maximizing separation while taking into account the relationships of the features? This can be done by using the feature covariance matrices of the within-group and between-group samples: W is the within-group covariance matrix, B is the between-group version; taking the