66. K-Means Clustering: Find Groups Without Labels

Everything we've done so far in Phase 6 is supervised learning. You give the model examples with correct answers. It learns to predict. K-Means is different. There are no correct answers. You hand it raw data and say: find me the groups. It does. And those groups are often surprisingly useful. Customer segments. Document topics. Image compression. Anomaly detection. All of these use clustering. None of them have labels. What You'll Learn Here How K-Means finds groups step by step What centroids