DBSCAN means density-based spatial clustering of applications with noise and is a popular density-based cluster analysis algorithm.
It is a density-based clustering algorithm because it finds a number of clusters starting from the estimated density distribution of corresponding nodes. DBSCAN is one of the most common clustering algorithms and also most cited in scientific literature. OPTICS can be seen as a generalization of DBSCAN to multiple ranges, effectively replacing the ε parameter with a maximum search radius.
See also wikipedia.
In scientific software r for statistical computing and graphics, package dbscan implements this method.
