lptoolbox

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

matlab基础例程，用于matlab开发入门，例程很典型。(Basic matlab routines, used for learning matlab programming, codes are very typical)

xor problem with matlab

this is about 2 x 2 mimo ofdm

基于无传感器的矢量控制的matlab的程序框图，经试验，可以正常运转(Based sensorless vector control matlab block diagram, the test can be normal operation)

MT4与VC编程的动态链接文件,Sample DLL for MQL4 (The MT4 with VC programming dynamic link file, Sample DLL for MQL4)

对于时隙aloha在matlab上的研究及分析，属参考资料(Slot aloha research and analysis, is a reference in matlab)

在工具箱LS_SVMlab用支持向量机用于函数拟合，带有注释(Toolbox LS_SVMlab used in support vector machine for function fitting, with Notes)

MATLAB语言在天线设计中的一些应用的、。。。。。。(MATLAB language in the antenna design in some applications, the. . . . . .)

说明：  Jacobian光滑化牛顿法,能运行实现，具有超线性收敛的光滑化牛顿算法.(Jacobian Smooth Newton Method)