project1_code
代码说明：
这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。(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 . 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:))
文件列表：
BayesTesting.m,771,2012-11-01
BayesTraining.m,694,2012-11-01
code report.doc,7553513,2015-03-09
LDAnalysis.m,866,2012-11-01
main.m,4939,2012-11-01
PCA.m,596,2012-11-01
readme.txt,248,2012-11-01
RLDAnalysis.m,860,2012-11-01
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