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Meta FAIR releases e-means, a k-means replacement in FAISS 1.16.0 (matches 25 Lloyd epochs in 1.4 to 2.6)

This story is from 2026-11-10. It is preserved in the archive; the latest stories are on the live feed.

Meta FAIR researchers released e-means, a mini-batch replacement for Lloyd's k-means. It updates centroids with exponential moving averages of each cluster's sum and count. Fitted scaling laws set batch size and step size, so only k needs choosing. It ships in FAISS 1.16.0 under faiss.contrib.e_mea…

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  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)

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