Criminal Behaviour Analysis and Segmentation using K-Means Clustering
Gouri Jha, Laxmi Ahuja, Ajay Rana
Abstract
Crimes are increasing with a high frequency rates in this new era of world and hence it's a devastating issue that everyone has been experiencing. For finding a patter that can be used for prediction is necessary. The objective of this paper is to understand the concept of data mining and machine learning which can be used for finding criminal patterns and behaviours. The paper is further divided by providing basic differentiation of the clustering techniques used in unsupervised learning. And then after the crime dataset of India that contains record of serious fraud of property in all states and we will apply k-means clustering to find generic patterns. The main reason for this paper is to give a quip thought of how machine learning can be utilized by the law authorization to distinguish, anticipate and illuminate violations by a lot quicker rate.