I understand that after selecting features using Linear Discriminant Analysis (LDA), you want to classify your data using a classifier such as Support Vector Machine (SVM). You can use ‘fitcsvm’ as it trains or cross-validates a support vector machine (SVM) model for one-class and two-class (binary) classification on a low-dimensional or moderate-dimensional predictor data set.
For more information, you can refer to the documentation link below –
