Research Article

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 6

A two-dimensional ternary plot of the posterior probabilities belonging to the investigated H, DCIS, and IDC samples calculated from the acquired dataset consisting of all the collected spectra from three tissue types, using the PCA-LDA discriminant model combined with LOOCV method.