UMAP-Learn Overview UMAP (Uniform Manifold Approximation and Projection) is a dimensionality reduction technique for visualization and general non-linear dimensionality reduction. Apply this skill for fast, scalable embeddings that preserve local and global structure, supervised learning, and clustering preprocessing. Quick Start Installation Basic Usage UMAP follows scikit-learn conventions and can be used as a drop-in replacement for t-SNE or PCA. Critical preprocessing requirement: Always standardize features to comparable scales before applying UMAP to ensure equal weighting across dimens…