assignment

这是一个关于计算机数学建模的书籍,实用性很强,可作为实际建模的指导资料.(This is a mathematical modeling of computer books, very practical, as a practical modeling guidance information.)

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.)

to flip image in matlab

自己编程产生一种二进制频率调制信号，为数字调制信号的识别做准备。( programming to produce a binary frequency modulation signal, the recognition of digital modulation signals in preparation.)

基于matlab程序的rls算法及其学习曲线(Based on the the matlab program' s rls algorithm and its learning curve)

Using GA toolbox to solve the simple problem problem: we want to find the solve the puzzle which the sum of every row and column are equal.

MATLAB作业用，MATLAB实验用，MATLAB数字信号处理，信号与系统(MATLAB work with, MATLAB experiment, MATLAB Digital Signal Processing, Signals and Systems)

说明：  用LZW算法，扩展的ASKII码作为初始化字典的词条，即字典的0-255项预置为ASKII的全部8位字符，将文档压缩与解压缩(Using LZW algorithm, the extended askii code is used as the entry of initialization dictionary, that is, 0-255 items of dictionary are preset as all 8-bit characters of askii to compress the document)

LMNN,监督距离度量学习目前效果最好的(lmnn)

sliding mode control 4