Data Science, Machine Learning, Statistics, Artificial Intelligence.
try to grasp the goal of Principal Component Analysis. The following should put in mind: Is the number of samples (m) much less than the number of measured variables(d) — i.e number of columns in a data frame m<< d The goal of PCA is to get a subspace (i.e a lower dimensions) and projecting the