It discovers clusters of arbitrary shapes in spatial databases with noise. In incremental approach, the DBSCAN algorithm is applied to a dynamic database where the data may be frequently updated.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of data clustering and anomaly detection using the DBSCAN (Density Based Spatial Clustering of Applications ...