Common clustering techniques include k-means, Gaussian mixture model, density-based and spectral. This article explains how to implement DBSCAN ("density based spatial clustering of applications with ...

Other methods, such as density-based spatial clustering of applications with noise (DBSCAN) are able to detect non-spherical clusters.

Advanced controls allow precise arrangement and pattern intensity adjustment. Click "Find Patterns" and watch DBSCAN intelligently cluster the point cloud, each color representing a unique cluster.