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umap-learn

Applies UMAP-learn to nonlinear dimensionality reduction, 2D/3D embeddings

by k-dense-aiFree

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#1511in AI Skills
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Description

umap-learn is an agent skill for UMAP, which stands for Uniform Manifold Approximation and Projection, a technique for non-linear dimensiona…

Highlights

  • Non-linear dimensionality reduction
  • 2D and 3D embeddings
  • Supervised and semi-supervised UMAP
  • DensMAP and AlignedUMAP
  • Checks before interpreting an embedding

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umap-learn FAQ

What is UMAP used for?

Visualisation and non-linear dimensionality reduction, with embeddings that preserve neighbourhood structure.

Do distances in the plot mean something?

The skill says UMAP axes, island areas and cluster gaps have no calibrated physical or probabilistic meaning.

What should I check before trusting an embedding?

Finite coordinates, neighbourhood retention, sensitivity to seeds and parameters, and agreement with evidence in the original space.

Which version is current?

umap-learn 0.5.12, the stable release verified on 1 October 2026.

How do I install it?

Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill umap-learn.

Is it checked for security?

Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.

What are the best umap-learn alternatives?

Popular alternatives to umap-learn include etetoolkit, songsee and data-scraper-agent. See all umap-learn alternatives

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