A Performance Comparison of Euclidean, Manhattan and Minkowski Distances in K-Means Clustering

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Haviluddin, Muhammad Iqbal, Gubtha Mahendra Putra, Novianti Puspitasari, Hario Jati Setyadi, Felix Andika Dwiyanto, Aji Prasetya Wibawa, Rayner Alfred

2020 2020 6th International Conference on Science in Information Technology: Embracing Industry 4.0: Towards Innovation in Disaster Management, ICSITech 2020 Conference paper Cited by 16 Quartile

Abstract

The Indonesian police department has a role in maintaining security and law enforcement under the Republic of Indonesia Law Number 2 of 2002. In this study, data on the crime rate in the Bontang City area has been analyzed. It becomes the basis for the Police in anticipating various crimes. The K-Means algorithm is used for data analysis. Based on the test results, there are three levels of crime: high, medium, and low. According to the analysis, the high crime rate in the Bontang City area is special case theft and vehicle theft. Furthermore, it becomes the police program to maintain personal and vehicle safety. © 2020 IEEE.

Affiliations

Universitas Mulawarman, Department of Informatics, Samarinda, Indonesia; Universitas Negeri Malang, Graduate School, Malang, Indonesia; Universitas Negeri Malang, Department of Electrical Engineering, Malang, Indonesia; Universiti Malaysia Sabah, Faculty of Computing and Informatics, Kota Kinabalu, Malaysia