An improved optimized clustering technique for crime detection
Nidhi Tomar, Amit Kumar Manjhvar · 2016
Data mining automates the finding predictive records procedure in big databases. Clustering is a most famous method in data mining and is an important methodology that is performed based on the similarity principle. The segregation of a big database is a stimulating and task of time consuming. It concludes two different stages: first, feature extraction maps all documents or record to a point in the space of high-dimensional, then algorithms for clustering automatically grouping the points into a cluster hierarchy. Clustering has various applications in different fields. Few of the fields include criminology, text mining, image resolution, machine learning. Crime detection has become one of the most attractive field as the crime rate in India and whole world is increasing at a greater pace. We as citizens of a country have to contribute towards its detection and removal. Thus, a comprehensive survey carried about the basics of clustering has given in this paper. Moreover, proposed work was given that gives the idea of the work going to be done in the upcoming time.