Outlier detection method based on K-means
In industry, electric power, transportation and other fields, anomalies are often the precursors of problems or failures in the system. Through anomaly identification techniques, system abnormal behavior can be detected in time to prevent or quickly respond to potential failures and improve system r...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2025-05-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000171650 |
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