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.

Recent advances in data mining and mathematical modelling have increasingly influenced the development of sophisticated algorithms across diverse application domains.