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What Is
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0:41
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How a Cloud of Dots Finds Its Own Clusters
A thousand unlabeled points, no map, no guide — yet three colored markers can carve them into clean groups on their own. This is k-means clustering, shown one frame at a time. By the end you'll understand the entire algorithm as a two-step loop you could run by hand: every point claims its nearest center, every center slides to the average of ...
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