A fuzzy version of generalized DBSCAN clustering algorithm
Ch. Bala Koteshwariah, N. Raghu Kisore, Vadlamani Ravi · 2015
In this paper, we propose a fuzzy version of GDBSCAN called generalized fuzzy density based clustering algorithm (GFDBSCAN) that can be used to cluster people around key socio-economic parameters. GFDBSCAN can also be used to cluster geographical regions based on the requirement and preferences expressed by the customers for services like business outlets, ATMs, bank branch operations, public utilities, etc. We apply the proposed algorithm to cluster geo-spatial data based on personal traits of people living in a given geographical area. We compare the performance of GFDBSCAN with other popular clustering algorithms and measure the performance of the algorithms using silhouette coefficient.