“UMAP: Uniform Manifold Approximation and Projection” (2018), by Leland McInnes et al. Computer Science research paper. Original abstract below, unchanged. A free PDF is available.

UMAP: Uniform Manifold Approximation and Projection

Leland McInnes, John Healy, Nathaniel Saul et al. · September 2, 2018 · Computer Science

Abstract

Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. UMAP has a rigorous mathematical foundation, but is simple to use, with a scikit-learn compatible API. UMAP is among the fastest manifold learning implementations available -significantly faster than most t-SNE implementations.

Free PDF DOI: 10.21105/joss.00861