E-means: Outperforming k-means in one-tenth the epochs
E-means: Outperforming k-means in one-tenth the epochs
e-means achieved a test loss lower than Lloyd's algorithm within 25 rounds of training, requiring only 1.2 to 3 rounds. Compared to the state-of-the-art Flash-KMeans, GPU end-to-end speed improved 10-45 times, and CPU end-to-end speed improved 8-15 times. e-means achieved dual optimization of speed and loss through exponential moving average updates, automatic hyperparameter adjustment, improved initialization, and dead cluster revival strategies.
Same story1 other outlet also reported this
How the accounts differ:Hacker News states e-means achieves lower test loss in 25 rounds, while MarkTechPost mentions 1.4 to 2.6 rounds to match k-means 25 rounds' loss level.
- Hacker News · 300+··First·Reading now
e-means: Surpasses k-means within one-tenth of the training rounds.
- MarkTechPost··+28 h 35 min
Meta FAIR releases e-means: an algorithm that outperforms k-means in 10 fewer iterations
Adds:integrated into FAISS 1.16.0
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Source: Hacker News · 300+ · e-means.github.io