Open AccessDescriptive Analytics on Crime in India using Clustering Techniques
Author(s) -
J.V.J.S. Rama Devi,
Dr Kavitha K S
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l2924.019320
Subject(s) - cluster analysis , government (linguistics) , representation (politics) , crime analysis , data science , analytics , cluster (spacecraft) , criminology , focus (optics) , computer science , crime prevention , sociology , political science , artificial intelligence , politics , law , philosophy , linguistics , physics , optics , programming language
Understanding the perspectives of crime happenings by exploiting crime data helps early detection and prevention of crimes. Ruling Government and Policing systems are aware the importance of realising the changing aspects of crime. As technology is advanced, there are many ways to comprehend the trends and the patterns of crime activities. The paper presents a hybrid model using AGNES and K-means clustering algorithms to focus on different views and representation of crime in India and aims to recognize the crime types that cluster the regions of India. Accuracy of model is measured using log loss and the patterns and trends in crime are presented.