[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