Fast Enhanced Exemplar-Based Clustering for Incomplete EEG Signals

Table 4

Average experimental results over 10 runs on Aggregation and Bonn epileptic EEG signals.

Dataset	Algorithms	NMI	Accuracy	ENERGY	Time
Aggregation	FEEC	0.9636	0.9530	3522.38	9.54
	FAP	0.9017	0.9130	3609.79	9.65
	AP	0.8455	0.7016	4122.64	28.59
	EEM	0.8765	0.7208	3838.29	16.804
Bonn epileptic EEG signals	FEEC	0.9038	0.9786	1602.87	3.75
	FAP	0.8794	0.9445	1744.22	3.65
	AP	0.3324	0.4387	3018.12	3.97
	EEM	0.3728	0.4991	2050.51	6.01