umap-learn
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
87
2.11x
Quality
83%
Does it follow best practices?
Impact
89%
2.11xAverage score across 6 eval scenarios
Securityby
Passed
No known issues
No security issues found
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- K-Dense-AI/claude-scientific-skills
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