An Empirical Study on Anomaly Detection Using Density-based and Representative-based Clustering Algorithms
In data mining, and statistics, anomaly detection is the process of finding data patterns (outcomes, values, or observations) that deviate from the rest of the other observations or outcomes. Anomaly detection is heavily used in solving real-world problems in many application domains, like medicine...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nigerian Society of Physical Sciences
2023-04-01
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| Series: | Journal of Nigerian Society of Physical Sciences |
| Subjects: | |
| Online Access: | https://journal.nsps.org.ng/index.php/jnsps/article/view/1364 |