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Computers as components

1.采用C均值聚类算法对男女生样本数据中的身高、体重2个特征进行聚类分析，考察不同的类别初始值以及类别数对聚类结果的影响，并以友好的方式图示化结果。 2.采用分级聚类算法对男女生样本数据进行聚类分析。分别尝试采用身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征，以及身高，体重2个特征进行聚类，对比聚类结果，并以友好的方式图示化结果 (1. The use of C means clustering algorithm on sample data for boys and girls in the height, weight 2 characterized in cluster analysis to investigate the initial values of the different categories and the effect on the number of classes of the clustering result, and in a friendly way of illustration result. 2. Using hierarchical clustering algorithm to male and female students sample data clustering analysis. Try both using height, weight, like math, like literature, like sports, like pattern recognition feature a total of six, as well as height, weight, two features clustering, comparing clustering results, and in a friendly way of illustration of the results)

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解线性方程组的直接法（标准数值算法），包括高斯消去法程序、列主元高斯消去法程序、LU分解以及用LU分解求线性方程组、Cholesky分解以及用Cholesky分解求线性方程组、改进的Cholesky分解以及用改进的Cholesky分解求线性方程组、解三对角方程的追赶法。全部为本人原创程序，且全部经过测试无误。共9个MATLAB程序。程序内部含详细注释。(Solving linear equations of the direct method (standard numerical algorithms), including Gaussian elimination procedure, the column pivot Gaussian elimination procedure, LU decomposition and the use of linear equations, LU decomposition, Cholesky decomposition, and find line with the Cholesky decomposition linear equations, Cholesky decomposition and improved using the improved Cholesky decomposition of linear equations, solution of tridiagonal equations pursuit method. All of my original program, and all tested correctly. A total of nine MATLAB. Internal procedures with detailed notes.)

Statistical Pattern Recogntion Toolbox--22oct09

这是我自己在学习中自己收集的一些基于MATLAB的MIMO源代码，有些是自己写的 有些是参考别人的 还有一些mimo的资料，觉得对于通信领域的学习者会很受用(This is some source code about mimo system and some reference about that)

用于模式识别分类，有C均值算法、HK算法以及感知器算法(for the classification, C-means algorithm, HK algorithm and Perceptron Algorithm)

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文档中介绍了三种二维数组指针的用法，让读者对二维数组指针有了更进一步的了解。(Document introduces three kinds of the usage of the two-dimensional array pointer, let readers have a better understanding of how two dimensional array pointer.)

I have provided the code for watermarking and calculatuin of MSE , PSNr and comparison.