Principal Component, Machine Learning, Artificial Intelligence, Linear Algebra, Data Science.
some vector is that now that we have the covariance matrix without any covariances, we can strictly measure the variance in the “diagonal” part of our data. We can treat it as though we are on a 1-dimensional line, with only variance to worry about. The fact that the covariances are zero ensures us