Research Article
[Retracted] Unsupervised Anomaly Detection Based on Deep Autoencoding and Clustering
Table 2
Experimental results on Thyroid dataset.
| | Thyroid | Precision | F1 | Time (s) |
| K-Means | 0.0246 | 0.0471 | 0.8842 | PCA + K-Means | 0.0390 | 0.0727 | 0.6798 | ICA + K-Means | 0.0267 | 0.0514 | 0.2449 | MDS + K-Means | 0.0217 | 0.0417 | 17.7753 | DAE + K-Means | 0.2537 | 0.3981 | 0.9136 |
| DBSCAN | 0.2432 | 0.3803 | 15.1509 | PCA + DBSCAN | 0.1340 | 0.2342 | 0.62020 | ICA + DBSCAN | 0.1833 | 0.3034 | 8.4805 | MDS + DBSCAN | 0.1625 | 0.2549 | 24.5062 | DAE + DBSCAN | 0.8000 | 0.5594 | 3.4793 |
| Mean-Shift | 0.3077 | 0.4571 | 1.2240 | PCA + Mean-Shift | 0.2609 | 0.3810 | 1.4040 | ICA + Mean-Shift | 0.3016 | 0.4419 | 0.9795 | MDS + Mean-Shift | 0.3023 | 0.4333 | 18.4106 | DAE + Mean-Shift | 0.8529 | 0.7205 | 1.5510 |
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