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pls
- 实现多输入多输出数据的线性降维，实现多元统计分析与回归分析的综合能力。降维效果很好！-Realize multiple input multiple output data linear dimensional reduction, realization of multivariate statistical analysis and regression analysis of the comprehensive ability. Dimension reduction effect is
ejdgufsf
- 是学习PCA特征提取的很好的学习资料，单径或多径瑞利衰落信道仿真，代码里有很完整的注释和解释，matlab程序运行时导入数据文件作为输入参数，仿真图是速度、距离、幅度三维图像，进行逐步线性回归。- Is a good learning materials to learn PCA feature extraction, Single path or multipath Rayleigh fading channel simulation, Code, there are very complet
multilinearreg
- 利用最小二乘法来对w和b进行估计。最小二乘法就是试图找到一条直线，使得所有样本到直线上的欧式距离之和最小。(The least squares method is used to estimate W and B. The least squares method is trying to find a straight line, so that the sum of Euclidean distance of all the samples to the line is minimum)
cplst
- 多标签分类算法，通过对标签降维（SVD），然后利用线性回归建立特征和低维标签之间的关系，求出特征的系数，然后反过来进行预测(Multi label classification algorithm, through the tag dimension reduction (SVD), and then use linear regression to establish the relationship between features and low dimensional tags, to
线性回归算法
- 多元最小二乘法和零空间投影的多维最小二乘法，matlab程序，简单易懂，含有注释
机器学习Python程序
- 覆盖了基本常用的机器学习算法。包括线性回归与分类算法；决策树；多种降维算法；优化算法；强化学习等多类算法的Python代码。(It covers the commonly used machine learning algorithms. Including linear regression and classification algorithm; decision tree; a variety of dimensionality reduction algorithm; optimiza