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

Haviluddin, M. Iqbal, Gubtha Mahendra Putra, N. Puspitasari, H. J. Setyadi, F. Dwiyanto, A. Wibawa, Rayner Alfred
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引用次数: 4

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.
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欧氏距离、曼哈顿距离和闵可夫斯基距离在k均值聚类中的性能比较
根据2002年印度尼西亚共和国第2号法律,印度尼西亚警察部门在维护安全和执法方面发挥作用。在本研究中,分析了Bontang城市地区的犯罪率数据。它成为警察预测各种犯罪的依据。数据分析采用K-Means算法。根据测试结果,有三个级别的犯罪:高、中、低。分析认为,邦塘城区犯罪率较高的是特殊案件盗窃和车辆盗窃。此外,它还成为维护个人和车辆安全的警察程序。
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