Uniform Manifold Approximation and Projection

Wolfgang Karl Härdle, Leopold Simar and Matthias Fengler
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Wolfgang Karl Härdle: Humboldt-Universität zu Berlin, Ladislaus von Bortkiewicz Chair of Statistics

Chapter Chapter 23 in Applied Multivariate Statistical Analysis, 2024, pp 581-595 from Springer

Abstract: Abstract Uniform manifold approximation and projection (UMAP) is among the most highly appraised and most powerful procedures for data visualization and dimension reduction. Despite having been proposed fairly recently, UMAP has immediately excited the entire community. UMAP was applied successfully in high-dimensional applications of image processing, natural language processing, and biology, particularly in single-cell analysis. Since its introduction, the principle ideas of UMAP have undergone further refinement and customization, in order to accommodate the objectives in further areas of applied data science.

Date: 2024
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DOI: 10.1007/978-3-031-63833-6_23

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