# Meta FAIR releases e-means, a k-means variant that reaches Lloyd's loss in fewer epochs

> Original title: Meta FAIR Releases e-means: An Algorithm Beating k-means in 10x Fewer Epochs

- Source: MarkTechPost
- Published: 2026-11-10T23:20:19.000Z
- Bad Influence: https://badinfluence.news/items/y35wwh768217qb206ap5figj5
- Original: https://www.marktechpost.com/2026/11/10/meta-fair-e-means-k-means-faiss/

## Summary

Meta FAIR researchers released e-means, a drop-in replacement for Lloyd's k-means that reaches the loss Lloyd's k-means gets in 25 epochs in 1.4 to 2.6 epochs. It ships in FAISS 1.16.0 under faiss.contrib.e_means and uses exponential moving average updates. The authors' speedup figures of 10-45x on GPU and 8-15x on CPU are self-reported.