LDA

ML Math Derivations (17): Dimensionality Reduction and PCA

High-dimensional spaces are hostile to distance-based learning. This article derives PCA from two equivalent angles (max variance and min reconstruction error), and extends to kernel PCA, LDA, t-SNE, and ICA -- with …