A Generative Clustering Ensemble Model and Its Application in IoT Data Analysis

Table 3

ARI metrics of different approaches on IoT datasets.

Datasets	Approaches
	-means	SV	SWV	EM	CoCE	WCT	HFEC	CSPA	U-SPEC	DEC	IDEC	VaDE	GCE
KDD’99	0.0473	0.0814	0.1255	0.3762	0.4263	0.5088	0.4207	0.2206	0.4527	0.4018	0.4290	0.4652	0.5161
NSL-KDD	0.0988	0.1339	0.1524	0.4036	0.4835	0.5231	0.4275	0.3318	0.3814	0.4364	0.4541	0.4662	0.5538
AWID	0.1548	0.1907	0.2583	0.4077	0.3590	0.3302	0.4651	0.3788	0.5007	0.4321	0.4349	0.4792	0.6145
UCI-IoT	0.1904	0.2244	0.2419	0.2163	0.2506	0.1338	0.2853	0.2527	0.3645	0.3162	0.3177	0.3203	0.4264
Synthetic dataset	0.2279	0.3775	0.4366	0.0577	0.3741	0.4559	0.6013	0.4832	0.6643	0.5506	0.5530	0.5866	0.7561