math/py-umap-learn 0.5.12 FreeBSD

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. The algorithm is founded on three assumptions about the data: * The data is uniformly distributed on a Riemannian manifold; * The Riemannian metric is locally constant (or can be approximated as such); * The manifold is locally connected.