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MACHINE LEARNING

Clustering

Interactive clustering workstation: k-Means++ with elbow method, DBSCAN with epsilon and minPts sliders, agglomerative hierarchical clustering with dendrogram, and silhouette score comparison.

k-MeansElbowDBSCANHierarchical
OPEN INTERACTIVE LAB ↗

What you'll explore

  • ✓Clustering simulation
  • ✓K-means
  • ✓Dbscan
  • ✓Hierarchical clustering
  • ✓Elbow method
  • ✓Silhouette score

About this lab

Interactive clustering workstation: k-Means++ with elbow method, DBSCAN with epsilon and minPts sliders, agglomerative hierarchical clustering with dendrogram, and silhouette score comparison. This simulation runs entirely in your browser — no installation, no account required, no data uploaded.

Part of the Machine Learning Labs track — 5 labs covering the full curriculum.

PLATFORM FEATURES
✓ Runs 100% in browser — no server, no installs
✓ Adjustable parameters with real-time output
✓ Privacy-first: zero data collection or uploads
✓ Blockchain-verifiable experiment logs on Polygon
✓ Free to use — open to everyone