UMAP: Uniform Manifold Approximation and Projection
Leland McInnesJohn HealyNathaniel SaulDepartment of Mathematics and Statistics, Washington State UniversityLukas GroßbergerDonders Institute for Brain, Cognition and Behaviour, Radboud Universiteit
2018en
ABI
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.
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