JOURNAL ARTICLE

CRIME RATE PREDICTION & ANALYSIS USING K-MEANS CLUSTERING ALGORITHM

S. SuhailB.Purshotam

Year: 2025 Journal:   International Journal of Engineering Technology and Management Sciences Vol: 9 (2)Pages: 830-836

Abstract

In India, the crime rate is increasing each day. In the current situation, recent technologicalinfluence, effects of social media and modern approaches help the offenders to achieve their crimes.Both analysis and prediction of crime is a systematized method that classifies and examines thecrime patterns. There exist various clustering algorithms for crime analysis and pattern predictionbut they do not reveal all the requirements. Among these, K means algorithm provides a better wayfor predicting the results. The proposed research work mainly focused on predicting the region withhigher crime rates and age groups with more or less criminal tendencies. We propose an optimizedK means algorithm to lower the time complexity and improve efficiency in the result.

Keywords:
Cluster analysis Computer science k-means clustering Algorithm Artificial intelligence

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Topics

Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology
Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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