最小均方误差（MMSE）的算法，包括AHP，因子分析，回归分析，聚类分析，代码里有很完整的注释和解释，包括最小二乘法、SVM、神经网络、1_k近邻法,采用累计贡献率的方法，利用自然梯度算法，用于时频分析算法。- Minimum mean square error (MMSE) algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, Code, there are very complete notes and explanations Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The method of cumulative contribution rate Use of natural gradient algorithm, For time-frequency analysis algorithm.