https://github.com/vladstudennikov/embedding-geometry

Influence of UMAP on clustering of text embeddings. Calculating spherical disperancy of text embeddings.
https://github.com/vladstudennikov/embedding-geometry

clustering dispensary manifold-learning ml nlp statistics umap

Last synced: 2 days ago
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Influence of UMAP on clustering of text embeddings. Calculating spherical disperancy of text embeddings.

• Host: GitHub
• URL: https://github.com/vladstudennikov/embedding-geometry
• Owner: vladstudennikov
• Created: 2026-05-13T11:31:18.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2026-06-24T22:11:05.000Z (4 days ago)
• Last Synced: 2026-06-25T00:06:24.040Z (4 days ago)
• Topics: clustering, dispensary, manifold-learning, ml, nlp, statistics, umap
• Language: Jupyter Notebook
• Homepage:
• Size: 12.2 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Roadmap: ROADMAP.md

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