[ANN] UMAP.jl, a pure Julia implementation of Uniform Manifold Approximation and Projection



UMAP.jl is a pure Julia implementation of the UMAP dimension reduction algorithm. From the abstract:

UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed from a theoretical framework based in Riemannian geometry and algebraic topology. The result is a practical scalable algorithm that applies to real world data.

The first release, v0.1.0, is tagged in the General registry and can be installed with ]add UMAP. More usage details are available in the README.