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Cluster Quest
No labels, just dots. Click to drop centroids where you think the natural groups are, drag to fine-tune, then lock it in and see how your eye compares to real K-Means.
🌱 Beginner
~2 min
Concept: Unsupervised Learning · K-Means
Round 1 of 3
Click to place your centroids (drag to reposition), then lock in.
📌 How scoring works
Your score is based on inertia — the total squared distance from every point to its nearest centroid. Lower is better. We compare your inertia to K-Means run from several random starts.