Clustering Explorer

Visualize clusters in your data with KMeans, DBSCAN, and Agglomerative Clustering.

Features

• 3 algorithms — KMeans, DBSCAN, Agglomerative with per-algorithm config
• 2D scatter plot — PCA reduction, color-coded clusters
• Silhouette score — quantitative cluster quality metric
• Elbow chart — find optimal k for KMeans
• Cluster summary — point counts and centroid values
• Export labels — download CSV with cluster_label column added

Technical details

• Powered by scikit-learn via Pyodide (WebAssembly)
• PCA for 2D visualization
• Canvas-drawn charts (no external dependencies)