Principal Component, Machine Learning, Artificial Intelligence, Linear Algebra, Data Science.
amount of dimensions!): is as follows: You might sometimes see (XX^T)/N, but this is when X is a m x N normalized input matrix (training examples as columns instead of rows). It is like this is Gilbert Strang’s lecture on PCA and Eckart-Young. Both ways work and the outcome is the same — a m x m