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　K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。(K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the basic idea of the algorithm is: to the space K point as the center of the cluster analysis, near their object classification. Through the iterative method, each successive update clustering center value, until get the best clustering results. )

配电网辐射状前推回代潮流计算程序，节点可以任意更改。(Forward and backward substitution flow calculation)

局部化的支持向量机（LSVR）训练内核函数(function for LSVR(localized support vector regression) training)

教程示范，如何数学建模，以及解非线性方程组(Tutorial example, how mathematical modeling and nonlinear equations)

wavelet neural network algorithm very useful for matching

一个很完整的关于用运动估计实现帧间编码的matlab程序(A very complete on the realization of inter frame coding matlab procedures with motion estimation)

该程序用一个实例进行演示线性回归方程的建立。(The procedures used to establish an instance demonstrates the linear regression equation.)

VEanlo por ustedes mismos

利用morlet小波变换，估计ASK信号的符号率(the estimation of symbol rate for ask signal)

激光谐振腔中激光模式的仿真，包括不同腔型(Simulation of the laser mode in the laser cavity, including the type of cavity)