A performance comparison of euclidean, manhattan and minkowski distances in k-means clustering
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-Me...
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| Format: | Proceedings |
| Language: | English English |
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Institute of Electrical and Electronics Engineers
2021
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| Online Access: | https://eprints.ums.edu.my/id/eprint/31909/1/A%20performance%20comparison%20of%20euclidean%2C%20manhattan%20and%20minkowski%20distances%20in%20k-means%20clustering.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31909/2/A%20Performance%20Comparison%20of%20Euclidean%2C%20Manhattan%20and%20Minkowski%20Distances%20in%20K-Means%20Clustering.pdf |
| _version_ | 1825714595060252672 |
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| author | Haviluddin Haviluddin Muhammad Iqbal Gubtha Mahendra Putra Novianti Puspitasari Hario Jati Setyadi Felix Andika Dwiyanto Aji Prasetya Wibawa Rayner Alfred |
| author_facet | Haviluddin Haviluddin Muhammad Iqbal Gubtha Mahendra Putra Novianti Puspitasari Hario Jati Setyadi Felix Andika Dwiyanto Aji Prasetya Wibawa Rayner Alfred |
| author_sort | Haviluddin Haviluddin |
| collection | UMS |
| description | 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. |
| first_indexed | 2024-03-06T03:14:09Z |
| format | Proceedings |
| id | ums.eprints-31909 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:14:09Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | ums.eprints-319092022-03-18T05:28:15Z https://eprints.ums.edu.my/id/eprint/31909/ A performance comparison of euclidean, manhattan and minkowski distances in k-means clustering Haviluddin Haviluddin Muhammad Iqbal Gubtha Mahendra Putra Novianti Puspitasari Hario Jati Setyadi Felix Andika Dwiyanto Aji Prasetya Wibawa Rayner Alfred DS611-649 Indonesia (Dutch East Indies) QA1-43 General 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. Institute of Electrical and Electronics Engineers 2021-04-05 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/31909/1/A%20performance%20comparison%20of%20euclidean%2C%20manhattan%20and%20minkowski%20distances%20in%20k-means%20clustering.ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/31909/2/A%20Performance%20Comparison%20of%20Euclidean%2C%20Manhattan%20and%20Minkowski%20Distances%20in%20K-Means%20Clustering.pdf Haviluddin Haviluddin and Muhammad Iqbal and Gubtha Mahendra Putra and Novianti Puspitasari and Hario Jati Setyadi and Felix Andika Dwiyanto and Aji Prasetya Wibawa and Rayner Alfred (2021) A performance comparison of euclidean, manhattan and minkowski distances in k-means clustering. https://ieeexplore.ieee.org/document/9392053 |
| spellingShingle | DS611-649 Indonesia (Dutch East Indies) QA1-43 General Haviluddin Haviluddin Muhammad Iqbal Gubtha Mahendra Putra Novianti Puspitasari Hario Jati Setyadi Felix Andika Dwiyanto Aji Prasetya Wibawa Rayner Alfred A performance comparison of euclidean, manhattan and minkowski distances in k-means clustering |
| title | A performance comparison of euclidean, manhattan and minkowski distances in k-means clustering |
| title_full | A performance comparison of euclidean, manhattan and minkowski distances in k-means clustering |
| title_fullStr | A performance comparison of euclidean, manhattan and minkowski distances in k-means clustering |
| title_full_unstemmed | A performance comparison of euclidean, manhattan and minkowski distances in k-means clustering |
| title_short | A performance comparison of euclidean, manhattan and minkowski distances in k-means clustering |
| title_sort | performance comparison of euclidean manhattan and minkowski distances in k means clustering |
| topic | DS611-649 Indonesia (Dutch East Indies) QA1-43 General |
| url | https://eprints.ums.edu.my/id/eprint/31909/1/A%20performance%20comparison%20of%20euclidean%2C%20manhattan%20and%20minkowski%20distances%20in%20k-means%20clustering.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31909/2/A%20Performance%20Comparison%20of%20Euclidean%2C%20Manhattan%20and%20Minkowski%20Distances%20in%20K-Means%20Clustering.pdf |
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