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Learning · no teacher

🪄 Clustering — finding groups all by itself

Sometimes nobody labels anything. You just have a pile of dots. Clustering lets the computer discover the groups on its own, by putting things that are close together into the same group. Watch it work, step by step.

Grey dots = no labels at all. Press “Find groups” and watch the magic.
How many groups to find?

🤖 In a real AI — this is “unsupervised” learning No teacher, no labels! The computer placed a few centres, sent each dot to its nearest centre, moved the centres to the middle of their dots, and repeated until they stopped moving. This is called k-means. Real life uses it to group customers, songs, photos — whenever you want to find groups but nobody has labelled anything.

Practice 🎯

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