A pure Julia implementation of the Uniform Manifold Approximation and Projection dimension reduction algorithm. The umap function takes two arguments, X (a column-major matrix of shape (n_features, n_samples)), n_components (the number of dimensions in the output embedding), and various keyword arguments.

Features

  • Use precomputed distances
  • Fit a UMAP model to a dataset and transforming new data
  • Examples available
  • Documentation available
  • Uniform Manifold Approximation and Projection dimension reduction algorithm
  • Construct a model to use for embedding new data

Project Samples

UMAP.jl Screenshot 1

Project Activity

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Categories

Data Visualization

License

MIT License

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UMAP.jl Web Site

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Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-12-01
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