PCA for Dimensionality Reduction

PCA is usually introduced as an eigen-decomposition, which tells you what to compute, but not what you're doing. This explainer is for the intuition instead: hold a cloud of points between two panes of glass, tilt until they stay as spread out as possible once flattened, then press.