A Fast SVM-Based Tongue’s Colour Classification Aided by k-Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis

Table 2

Comparison of average classification accuracy and execution time of several algorithms using same database specifications.

Method	Technique/kernel	Accuracy (%)	Execution time (s)
Conventional SVM (only SVM) [11, 13, 27, 28, 42]	RBF	50	219
	Polynomial	50	187
	Linear	57	249
	Quadratic	74	187
Proposed SVM with clustering identifiers (SVM + -means)	RBF	63	166
	Polynomial	50	172
	Linear	89	149
	Quadratic	50	151
Neural network [18, 24]	Conventional	70.6	652