中文说明：是机器学习的例程，用于建立主成分分析模型，可以广泛的应用于数据预测及数据分析,脉冲响应的相关分析算法并检验，利用自然梯度算法，在MATLAB中求图像纹理特征，包含优化类的几个简单示例程序。
English Description：
Machine learning routines for a principal component analysis (PCA) model and can be widely used in data forecasting and data analysis, impulse response correlation analysis algorithm and test, by using the natural gradient algorithm. In MATLAB for image texture feature, contains the optimization of several simple example program.