K-Means 8x faster, 27x lower error than Scikit-learn in 25 lines

K-means clustering is a powerful algorithm for similarity searches, and Facebook AI Research's faiss library is turning out to be a speed champion. With only a handful of lines of code shared in this demonstration, faiss outperforms the implementation in scikit-learn in speed and accuracy.

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K-Means 8x faster, 27x lower error than Scikit-learn in 25 lines