Clustering -Based Crime Analysis and Pattern Identification
NEHA SP
Crime has increasingly become a major apprehension used for community security, as increasing criminal actions interrupt social stability and general security. The determined incidents instil fear and uncertainty in the minds of citizens. As a result preventing crime is the main responsibility. It needs to be taught in a deliberate and rational way in order to change crime. K means compiles algorithms in this work cluster that are connected to criminal episodes in an attempt to uncover hidden behavioral patterns. In contemporary crime analysis a variety of datasets and open-source tools are used to analyze past events and predict future criminal activity. In terms of the capacity to anticipate the detection of concealed behavior both groups had similar crime rates. This endeavor aims to enhance self-protective decision making by promoting a better understanding of crime and streamline ongoing projects it.