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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