data-analysis

这是matlab7的编程教程,英文版,适合英文好的同学深入研究,不错喔(This is matlab7 Programming Guide, English version, suitable for students with good English-depth study, yes Oh)

基于matlab的图形图象加密算法，对图形图象进行行列变换，达到对图象进行加密的功能。(Matlab-based graphical image encryption algorithm, to transform the ranks of graphics images to be encrypted on the image function.)

一种利用光流法检测运动物体的程序，供初学者参考。(Optical flow method by means of a moving object detection procedures for advanced users.)

计算两组信号互信息熵值的算法，采用matlab编程，可直接调用函数(Two sets of signals calculated values of mutual information method, using matlab programming, call the function directly)

先进PID 控制及其MATLAB 仿真 网络上很少有这样的文档资料下载(Advanced PID Control and MATLAB Simulation of the network there has been little information download this document)

Three matlab-based tools have been developed for the convenient assess- ment of stability conditions for linear and nonlinear systems. The fi rst is a more helpful and defi nitive version of nyquist, which has features of automatic zooming and which displays on the real axis a numeral (‘0’, ‘1’ etc.)

一个关于秩和比的源代码，很有用的。快来试试吧！！(One on RSR source code, very useful)

这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的胡修改的程序，osu_svm3.00文件夹是使用svm分类器调用的文件，使用该分类器时，代码中间的路径需要修改。另外附上一堆常用的数据集。(This is Hu Qinghua teacher at Tianjin University neighborhood rough set field do the most classic source code, students can learn and modify On this basis, the entry procedures have been written, you need other ways to add your own, MAIN.m entry program is meaning parameters Functions talked in very clear call for the featureselect_FW_fast.m attribute reduction, several clsf_dpd file is to use a different formula to calculate the distance attribute importance, choose properties to get the results, use crossvalidate.m ten fold cross algorithm to calculate the accuracy of the calculation algorithm, the segment code calls several classifiers, C4_5.m is a decision tree, KNN.m is the nearest neighbor classifier, NEC.m is similar to KNN Hu modified program, osu_svm3. 00 folders using svm classifier called file, using the classification code in the middle of the path need to be modified. Also attach a bunch of common data sets.)

国际会议上的关于人耳图像识别的论文： 改进的局部线性嵌入多姿态耳识别方法(MULTI-POSE EAR RECOGNITION BASED ON IMPROVED LOCALLY LINEAR EMBEDDING)

模糊聚类的改进--先用减法聚类得到初始点，而后用模糊聚类得到聚类中心，能够提高聚类的速度和精度(Improved Fuzzy Clustering- first get the initial point subtraction clustering, and then get the cluster center with fuzzy clustering, clustering can improve the speed and accuracy)