UMAP

umap is installed as Python module. 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 Riemannian manifold;
• The Riemannian metric is locally constant (or can be approximated as such);
• The manifold is locally connected. From these assumptions it is possible to model the manifold with a fuzzy topological structure. The embedding is found by searching for a low dimensional projection of the data that has the closest possible equivalent fuzzy topological structure.

Project Homepage: UMAP

Usage:

module load Python/3.6.7-foss-2016b-fh2