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Uniform Manifold Approximation and Projection

  • Wolfgang Karl Härdle,
  • Léopold Simar,
  • Matthias R. Fengler

摘要

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.