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

Posted by365Data SciencePosted inData Science News
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.

Originally from KDnuggets https://ift.tt/3oILg8S

source https://365datascience.weebly.com/the-best-data-science-blog-2020/k-means-8x-faster-27x-lower-error-than-scikit-learn-in-25-lines

Published by 365Data Science

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