Criminal Identification in Mumbai using DBSCAN
Crime rates are increasing every day in India, with Mumbai being the third among the
19 cities for 3 consecutive years; security against crime needs to be given increased priority by
the government as well as individuals. In this paper, crime analysis is done by performing
DBSCAN clustering on crime dataset, synthetically developed using make-blobs, to help clients
in selecting a better, safer route from their current location to a desired location. The primary
aim is to find out major patterns of criminal activities which will help the anti-criminal agencies
to take actions beforehand.