Principal Component, Data Science, Dimensionality Reduction, Machine Learning.
minimise the projection error. M is the final dimension, so if you want to see your final space as 2D dimensional space, then M=2. To find the M vectors, or the Principal Components, we are going to be looking into the covariance matrix of the data. In essence, our objective is to analyse the