3D K-Means Clustering WEBGL

Data volume 300 pts

Data quality (noise) 78%

Clusters (k) 4

Processing speed 82%

Visualization quality 90%

Confidence ellipsoid 95% (2σ)

Drag to orbit, scroll to zoom. Real Lloyd's-algorithm k-means running on synthetic 3D Gaussian blobs — same data-volume / data-quality / processing-speed controls as the 2D analytics simulator, now clustering points in genuine 3D space instead of scattering decorative dots.

3D WebGL render of live k-means clustering — orbit to inspect the point cloud and centroids