Machine Learning, Data Science, Algorithms, Dimensionality Reduction, Cheatsheet.
a Gaussian distribution with two principal components. Public Domain Thus, by choosing the first N principal components (where N < M, M is the number of features), we move from the M-dimensional space to the N-dimensional space, where new features are linear combinations of the existing features.