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

<div>(a) A scatter plot of the first three principal components acquired from the dataset consisting of all the collected spectra from three tissue types. (b) The corresponding PCA loading spectra of PC1, PC2, and PC3.</div>

Journal of Spectroscopy

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Figure 4: 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 4 | 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 