Subject
2 entries
Pca
Bookmarks
Introduction to Principal Component Analysis (PCA)
Laura Diane Hamilton's accessible introduction to Principal Component Analysis — covering the geometric and algebraic intuition without requiring a linear algebra background. One of the cleaner beginner explanations of a technique that's notoriously hard to explain well.
Kernel PCA
Sebastian Raschka's tutorial on Kernel PCA — extending standard PCA to capture non-linear structure using the kernel trick with RBF kernels. Includes Python implementation, making it one of the clearest practical explanations of the technique available in 2014.