Given a 3-class pattern classification problem, train any 2 of the 3 classifiers listed below using the training data, and then predict class labels of the test data. The training data is in Data_Train, and the label is in the file Label_Train. The test data is in Data_test (30 samples).
- Bayes decision rule
- Fisher discriminant analysis
- Decision trees
- The data is in the format of .mat, which can be loaded by MATLAB.
- 120 samples are used to train the classifier, they are of 4 dimensions.
CA for MPC is also included in this repo, under the folder Matlab.