这是用matlab实现的数据分析和统计程序，包括：用线性回归法估计一个因变量与多个自变量之间的线性关系，用多项式回归法估计一个因变量与一个自变量之间的多项式关系等-This is achieved using matlab data analysis and statistical procedures, including: linear regression estimation one dependent variable with more than a linear relations

matlab源程序： 用Fisher两类判别法对样本进行分类 对样本进行主成分分析 用最短距离算法的系统聚类对样本进行聚类 用二次完全式回归法估计一个因变量与两个自变量之间的关系 -matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest

是学习PCA特征提取的很好的学习资料，AHP层次分析法计算判断矩阵的最大特征值,包括AHP，因子分析，回归分析，聚类分析。- Is a good learning materials to learn PCA feature extraction, Calculate the maximum eigenvalue judgment matrix of AHP, Including AHP, factor analysis, regression analysis, cluster analysi

独立成分分析算法降低原始数据噪声，ML法能够很好的估计信号的信噪比,包括AHP，因子分析，回归分析，聚类分析。- Independent component analysis algorithm reduces the raw data noise, ML estimation method can be a good signal to noise ratio, Including AHP, factor analysis, regression analysis, cluster analy