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Meta FAIR releases e-means, a faster k-means replacement in FAISS 1.16.0

Meta FAIR's e-means, a mini-batch replacement for Lloyd's k-means shipped in FAISS 1.16.0, matches 25-epoch loss in 1.4 to 2.6 epochs, delivering 10-45x GPU speedups with no extra hyperparameters.

Read the full story at MarkTechPost ↗

Timeline · 2 reports

  1. 2026-11-10 23:22 · r/machinelearningnews
    Meta FAIR releases e-means, a k-means replacement in FAISS 1.16.0 (matches 25 Lloyd epochs in 1.4 to 2.6)
  2. 2026-11-10 23:20 · MarkTechPost
    Meta FAIR Releases e-means: An Algorithm Beating k-means in 10x Fewer Epochs

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