[Retracted] Unsupervised Anomaly Detection Based on Deep Autoencoding and Clustering

Table 3

Experimental results on Arrhythmia dataset.

	Arrhythmia
	Precision	F1	Time (s)
K-Means	0.1899	0.2776	0.7734
PCA + K-Means	0.1538	0.2424	0.6006
ICA + K-Means	0.1132	0.1846	0.1842
MDS + K-Means	0.1333	0.2143	0.3223
DAE + K-Means	0.3545	0.4432	0.7923
DBSCAN	0.2457	0.3772	0.0537
PCA + DBSCAN	0.2000	0.3056	1.0822
ICA + DBSCAN	0.1400	0.2295	0.6780
MDS + DBSCAN	0.1149	0.2000	0.8024
DAE + DBSCAN	0.5000	0.5217	0.5873
Mean-Shift	0.5000	0.4375	0.2449
PCA + Mean-Shift	0.5000	0.4615	0.8521
ICA + Mean-Shift	0.6667	0.4000	0.3851
MDS + Mean-Shift	0.5833	0.5000	0.5987
DAE + Mean-Shift	0.8158	0.5962	0.2980