mli/nystrom — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2012-11-19
Approximate expensive machine learning calculations on huge datasets using a small representative sample.
Speed up training for recommendation systems, image processing, or text analysis when compute is limited.
Study the Nyström approximation technique by running the included demo alongside the original 2010 paper.
Minimal README, best understood alongside the original 2010 paper.
A Matlab implementation of the Nyström approximation, a technique that speeds up machine learning on huge datasets by using a smaller representative sample.
Mainly Matlab. The stack also includes Matlab.
Dormant — no commits in 2+ years (last push 2012-11-19).
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.