Programming

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  • Goal : Generate random samples of multiple Gaussians according to specified mean vector and covariance matrix.

  • Goal : Practice the k-nearest neighbors (k-NN) Matlab codes.

  • Goal : Practice the Bayes classifier by the discriminant analysis classifier in Matlab's Classification Learner App.

  • Goal : Practice the Bayes classifier examples, and understand its relationship with minimum distance classifier.

  • Goal : Practice the SVM classifier by Matlab's Classification Learner App.

P6. Ensemble classifier

  • Goal : Practice the ensemble classifier by Matlab's Classification Learner App.

P7. Neural network classifier

  • Goal : Practice neural network classifiers by Matlab's Neural Network Pattern Recognition App.