[HN]score: 0.30e-means Achieves 10x Faster K-means ClusteringNovember 9, 2026A new method called e-means reaches k-means test loss significantly faster than the Lloyd algorithm.HOW THIS AFFECTS YOU●builderYou can run clustering tasks much faster on both CPU and GPU without losing accuracy.●researcherYou can achieve better loss with significantly fewer epochs compared to standard Lloyd implementations.read original ↗e-means.github.ioshare this on XOne AI story a day, in plain English. The number that matters and what it means for you.FOLLOW @hackobar_DAILY DIGEST_all newsbuilderresearcherfounderinvestordesignerpolicyhealthsubscribe →you don't check 9 sources. we do. one email every morning, read in 2 min. free. unsubscribe anytime. privacy← back to feed