E-means: 10x faster k-means at equal loss

Re:E-means: 10x faster k-means at equal loss by wood_spirit on Monday November 09, 2026 @03:01PM (#50431087)

This looks awesome. Obvious in hindsight! The viz really explains it well.

Hope it gets added to scipy - it’s much more available in the envs many use than facebooks own faiss library.

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Re:E-means: 10x faster k-means at equal loss by porridgeraisin on Monday November 09, 2026 @03:05PM (#50431156)

The automatic hyperparameter laws don't seem intuitive to me yet. Do you have any intuition for it?

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Re:E-means: 10x faster k-means at equal loss by thatsabadlook on Tuesday November 10, 2026 @03:50AM (#50437686)

Nor me. This is one of the better things in ml I've seen in a while. Creative.

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Re:E-means: 10x faster k-means at equal loss by swann_bessa on Tuesday November 10, 2026 @06:57AM (#50439071)

Thanks for the feedback, thatsabadlook. This is my first PhD work so I’m really happy to hear that.

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Re:E-means: 10x faster k-means at equal loss by thatsabadlook on Tuesday November 10, 2026 @10:50AM (#50442083)

If you can continue to look at known problems with fresh perspectives like this you have a very bright future ahead of you. But also if this is your biggest thing, you did good. Most grad students don't land on things this practical and useful.

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Re:E-means: 10x faster k-means at equal loss by swann_bessa on Tuesday November 10, 2026 @02:35PM (#50445177)

Thank you so much, I appreciate it !

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