Math & Optimization · intermediate · concept 42 of 176

📐Dimensionality Reduction

Reducing the number of features while preserving important information. PCA, t-SNE, and UMAP are the main techniques, essential for visualization and fighting the curse of dimensionality. LDA is the supervised counterpart: it projects using class labels, where PCA ignores them.