CompStatisticMATLAB

％ If only 1 output is specified, then dataout (a matrix the same size as ％ data) is returned. The order of t and align is immaterial, as long as ％ the data matrix is input first.( If only 1 output is specified, then dataout (a matrix the same size as data) is returned. The order of t and align is immaterial, as long as the data matrix is input first.)

说明：  matlab经典实例，很多很好的例子可供参考(matlab classic example, a lot of good examples for reference)

一种实现matlab和c#结合的小例子，有待进一步改进(An implementation matlab and c# combination small example, be further improved)

本文件为MIT教材中的相关matlab程序和实例，另外附有作业答案(This document is matlab files about MIT teaching book and key to the homework.)

用matlab实现边缘细化的算法及原理，同时还有一个简单的例子帮助理解(With the edge of matlab implementation of the algorithm and the principle of refinement, at the same time have a simple example to help understand)

测试比较算法性能的matlab程序，主要是粒子群算法当中，有GD,SR等等指标，非常有用(Test matlab program to compare the performance of the algorithm, particle swarm optimization, GD, SR and so on target, very useful)

利用PCA提取人脸特征，。利用PCA技术降低维数去除了原始原始数据之间的关联性。(Using PCA face feature extraction,. Using PCA technology to reduce dimension in addition to the original connection between the original data.)

应用Matlab工具编写程序进而实现决策树C4.5分类算法(Use Matlab to make desicion tree)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

matlab 数字图像处理 图像复原 含代码和结果显示 (Digital image processing matlab image restoration Containing the code and the results show)