Raman Microspectral Study and Classification of the Pathological Evolution of Breast Cancer Using Both Principal Component Analysis-Linear Discriminant Analysis and Principal Component Analysis-Support Vector Machine

Figure 7

(a, b) The 3D map of classification accuracy as a function of parameter C and polynomial order d, parameter C and gamma , respectively. (c) Dependence of classification accuracy on parameter C for a linear PCA-SVM algorithm.

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(b)

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