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YingfanWang/PaCMAP

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PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure

6 mentions on Hacker News by 5 people: 0 stories, 6 comments · first 2024-02-11 · latest 2025-12-16

Mentions per year 6 mentions · busiest year 2024 (4)
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  1. …I had reached out for it. Their group has some new stuff coming out too (on the linked page). [1] https://github.com/YingfanWang/PaCMAP
    comment by abhgh · 2025-12-16 · in A linear-time alternative for Dimensionality Reduction and fast visualisation
  2. …algorithm that improves on T-SNE called PaCMAP which preserves local and global structures better. https://github.com/YingfanWang/PaCMAP
    comment by wenc · 2025-08-24 · in Claim: GPT-5-pro can prove new interesting mathematics
  3. …( https://jmlr.org/papers/volume22/20-1061/20-1061.pdf ) and more recent large-scale variants ( https://github.com/YingfanWang/PaCMAP ).
    comment by bravura · 2024-12-24 · in Show HN: Llama 3.3 70B Sparse Autoencoders with API access
  4. https://github.com/YingfanWang/PaCMAP
    comment by antman · 2024-11-20 · in Large-Scale Dimension Reduction with Both Global and Local Structure (2021) [pdf]
  5. Check out PaCMAP, AFAIK it’s the current SoTA in dimensionality reduction: https://github.com/YingfanWang/PaCMAP
    comment by ubutler · 2024-05-06 · in Understanding UMAP (2019)
  6. Just on that UMAP point, I’ve found a lot success using PaCMAP ( https://github.com/YingfanWang/PaCMAP ) instead, which AFAIK is the SOTA in dimensionality reduction algorithms.
    comment by ubutler · 2024-02-11 · in Multilingual transformer and BERTopic for topic modeling: The case of Serbian