Literature Survey on Criminal Identification in Mumbai using DBSCAN

Abstract

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, literature survey of crime analysis using DBSCAN clustering on crime dataset is done. The clustering helps clients in selecting a better, safer route from their current location to a desired location. The literature study focusses primarily on the algorithms used previously for similar systems, and comparing them with DBSCAN.