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

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 ...

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.