This source code includes the implementation of three famous classifiers in machine learning. They are 1) PCA, 2) LDA and 3) Naive Bayesian. The detail theory behind these classifier can be found text book <<Introduction to Machine Learning>>. Besides the implementation of these 3 algorithms, the main.m for testing and a brief testing report is also included. (The testing is on data set acoustic_train_data) Enjoy:)

main.m
PCA.m
readme.txt
RLDAnalysis.m
BayesTesting.m
BayesTraining.m
LDAnalysis.m
code report.doc

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