Fig. 3

a LDA and PCA algorithm performance in classification in the specific situation. In this situation, LDA’s performance is better than PCA’s. b SVM classification. The main idea of the SVM is projecting data points into a higher dimensional space, specified by a kernel function, and computing a maximum-margin hyperplane decision surface that separates the two classes