Machine Learning Based Outlier Detection Algorithm for Distributed Flexible Sensing Module with Non-stationary Multi-Parametric Data
, , oraz
25 wrz 2025
O artykule
Data publikacji: 25 wrz 2025
Otrzymano: 01 sty 2025
Przyjęty: 18 kwi 2025
DOI: https://doi.org/10.2478/amns-2025-1028
Słowa kluczowe
© 2025 Suqin Xiong, Yang Li, Qiuyang Li and Zhiru Chen, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Energy metering data clustering effect
| No. | DBSCAN | MAA | COL | GMM | Ours |
|---|---|---|---|---|---|
| 1 | 0.401 | 0.472 | 0.469 | 0.528 | 0.724 |
| 2 | 0.413 | 0.436 | 0.436 | 0.514 | 0.693 |
| 3 | 0.371 | 0.415 | 0.455 | 0.509 | 0.689 |
| 4 | 0.356 | 0.467 | 0.429 | 0.487 | 0.691 |
| 5 | 0.401 | 0.415 | 0.454 | 0.522 | 0.707 |
| 6 | 0.422 | 0.423 | 0.441 | 0.491 | 0.719 |
| 7 | 0.389 | 0.439 | 0.439 | 0.507 | 0.726 |
| 8 | 0.358 | 0.478 | 0.463 | 0.518 | 0.681 |
| 9 | 0.395 | 0.461 | 0.457 | 0.473 | 0.693 |
| 10 | 0.388 | 0.427 | 0.432 | 0.525 | 0.725 |
| Means | 0.389 | 0.443 | 0.448 | 0.507 | 0.705 |