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

Table 4

Experimental results on Pen_global dataset.

	Pen_global
	Precision	F1	Time (s)
K-Means	0.8780	0.6261	0.0680
PCA + K-Means	0.8660	0.6914	0.5920
ICA + K-Means	0.8050	0.6860	0.1326
MDS + K-Means	0.9333	0.6335	0.8024
DAE + K-Means	0.9849	0.7716	0.7817
DBSCAN	0.8799	0.9315	0.0256
PCA + DBSCAN	0.8832	0.8612	1.4397
ICA + DBSCAN	0.8917	0.9333	1.0609
MDS + DBSCAN	0.1373	0.2240	1.7177
DAE + DBSCAN	0.9420	0.9675	0.44910
Mean-Shift	0.7867	0.5339	0.0855
PCA + Mean-Shift	0.8478	0.6555	0.5777
ICA + Mean-Shift	0.6667	0.4000	0.2387
MDS + Mean-Shift	0.7778	0.6471	0.9347
DAE + Mean-Shift	0.9265	0.8097	0.0865