Classification of Two Class Motor Imagery Tasks Using Hybrid GA-PSO Based -Means Clustering

Table 2

Classification performance against different K-means based clustering.

Subject	-means	GA based -means	PSO based -means	GA-PSO based -means
Subject 1
Average (%)	57.19	58.32	59.48	60.42
Standard deviation	3.271	0.229	1.484	0.137
Subject 2
Average (%)	58.75	66.08	66.81	67.46
Standard deviation	2.734	0.435	0.218	0.105
Subject 3
Average (%)	62.50	63.89	64.60	65.25
Standard deviation	4.872	0.295	0.177	0.746
Subject 4
Average (%)	50.62	58.18	61.18	61.38
Standard deviation	3.979	0.518	2.771	0.660
Subject 5
Average (%)	56.87	58.18	60.33	59.60
Standard deviation	2.794	1.107	2.989	1.714
Subject 6
Average (%)	57.19	58.50	60.28	57.37
Std. deviation	5.552	0.868	5.148	1.782
Subject 7
Average (%)	53.44	58.29	59.96	60.82
Standard deviation	4.492	1.271	1.427	1.410
Subject 8
Average (%)	54.06	58.32	58.62	59.00
Standard deviation	2.686	0.220	0.705	0.826
Subject 9
Average (%)	50.62	55.01	55.88	57.40
Standard deviation	2.794	2.561	2.371	1.736