Clustering Visualizer

Place points and watch K-Means, DBSCAN, Hierarchical, and Mean Shift clustering algorithms group them step by step.

Clusters Found

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Iteration

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Silhouette

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Algorithm

Assign points to nearest centroid, then update centroids to cluster means.

K (clusters): 3

Dataset

Points: 120

Blob Centers: 3

Spread: 35

Playback

Speed: 300ms

Click on the canvas to add individual points

All algorithms run entirely in your browser. No data is sent anywhere.