What features does the K-Means Clustering Visualizer offer?

This tool allows interactive point plotting, adjustable K values, clustering animations, centroid statistics, and exports to PNG or SVG. Perfect for visualizing data segmentation.

How do I use the K-Means Clustering Visualizer?

Add points via clicks or sample data, set the K value, and click Cluster to see the algorithm run with animations. Drag points to adjust and re-cluster in real-time.

Does the K-Means Clustering Visualizer work on mobile devices?

Yes, it is fully compatible with mobile devices and all modern browsers. All processing is client-side using ml5.js, ensuring smooth performance without installations.

Are there any limitations I should know about?

The tool handles up to 200 points for optimal performance; larger sets may slow animations. Clustering is approximate and runs in-browser for privacy.

Can I use sample datasets like Iris for testing?

Absolutely! Load the Iris dataset with one click to explore clustering on real data, ideal for learning unsupervised ML concepts like customer segmentation.