文件名称:Q1
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2类分类高斯模型
每个类是由一个单一的多元高斯分布的3-D建模
显示如何估计高斯均值向量和协方差矩阵的最大似然（ML）估计的基础上为每个类。
meanA和meanB代表每个类的均值，varA和varB的的代表每个类的协方差矩阵.-2-class classifier with Gaussian Models
Each class is modelled by a single 3-D multivariate Gaussian distribution
Show how to estimate Gaussian mean vector and covariance matrix for each class based on the Maximum likelihood (ML) estimation.
meanA and meanB represent each class s mean vector respectively while varA and varB represent each class s convariance matrix respectively
每个类是由一个单一的多元高斯分布的3-D建模
显示如何估计高斯均值向量和协方差矩阵的最大似然（ML）估计的基础上为每个类。
meanA和meanB代表每个类的均值，varA和varB的的代表每个类的协方差矩阵.-2-class classifier with Gaussian Models
Each class is modelled by a single 3-D multivariate Gaussian distribution
Show how to estimate Gaussian mean vector and covariance matrix for each class based on the Maximum likelihood (ML) estimation.
meanA and meanB represent each class s mean vector respectively while varA and varB represent each class s convariance matrix respectively
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