Machine Learning, Tutorial, Dimensionality Reduction, Deep Learning, Python.
PC2 are the principal components. If we use PCA for dimensionality reduction, we construct a d x k–dimensional transformation matrix W that allows us to map a sample vector x onto a new k–dimensional feature subspace that has fewer dimensions than the original d–dimensional feature space: As a