Meta FAIR releases e-means, claiming 10x fewer epochs than k-means
Original title: Meta FAIR Releases e-means: An Algorithm Beating k-means in 10x Fewer Epochs
The captured page is only a cookie notice, so datasets, code, and benchmark numbers are not available.
Meta FAIR has released e-means, described as a clustering algorithm that beats k-means while using 10 times fewer epochs. The captured MarkTechPost page contains only cookie-consent text, so no method, datasets, or results are stated.
Unconfirmed: Only the headline is available; performance claims cannot be checked from the captured page.
- The title credits the release to Meta FAIR.
- e-means is said to beat k-means in 10x fewer epochs.
- No paper, code, or evaluation details appear in the captured text.
- Organizations
- Meta FAIR
From the original article
14 min read at marktechpost.comMeta FAIR’s e-means is a mini-batch k-means replacement shipped in FAISS 1. 16. 0.
By Michal Sutter · marktechpost.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.