K-means Clustering

Thu, 09 Jul 2026 21:02:56 +1000

k-means is unsupervised learning’s hello world: pick \(k\) prototype points, assign every datum to its nearest prototype, move each prototype to the centre of its flock, repeat. 𐃏 it is fast, it always terminates, and it is wrong in ways that are so instructive that every clustering course starts here anyway.

Lloyds-Algorithm on Aayush Bajaj's Augmenting Infrastructure

K-means Clustering