In this session, we are going to introduce a density-based clustering algorithm called DBSCAN. DBSCAN is a density-based spatial clustering algorithm introduced by Martin Ester, Hanz-Peter Kriegel's group in KDD 1996. This paper received the highest impact paper award in the conference of KDD of 2014. This paper developed an interesting algorithms that can discover clusters of arbitrary shape. Actually, DBSCAN itself is acronym of density-based spatial clustering of applications with noise.
