WPA

参数估计与假设检验案例分析与matlab实现，仿真运行，完整的材料(Parameter estimation and hypothesis testing case analysis and matlab implementation, simulation run)

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)

matlab实现的图像水平、垂直投影，可用于人脸检测。(failed to translate)

说明：  在VC++中调用Matlab引擎的两个例子(In VC++ calling Matlab engines in the two examples)

这是一个关于模糊TS模型的例子，对初学TS模型的人很有用(This is an example of fuzzy TS model, TS model for beginners who are useful)

CMI和AMI编解码过程,并且写成GUI,编译环境是matlab2014b.(CMI and AMI encoding and decoding process, and write GUI, build environment is matlab2014b.)

通用的最小二乘回归算法，使用matlab编程实现，可用于求取最优解。(General least squares regression algorithm, using matlab programming, can be used to obtain the optimal solution.)

该仿真模型搭建了Buck-boost仿真模型，实现输入电压的变换(The Buck-boost simulation model is built to realize the input voltage conversion.)

Matlab code for prony method

Jacobi calculations . it is used to calculate liner problem