PCM_Testing

说明：  第17章： 数据统计和分析 MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系 PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系 CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系 CollectAnaly 用最短距离算法的系统聚类对样本进行聚类 DistgshAnalysis 用Fisher两类判别法对样本进行分类 MainAnalysis 对样本进行主成分分析 (data)

程序是基于贝叶斯最小错误率的分类器的设计，真确率达到98 ，学习模式识别的很好的程序(Program is based on the Bayes minimum error rate classifier design, true rate of 98 , a good learning pattern recognition program)

蚁群算法,关于蚁群算法的matlab仿真，蚁群算法基本算法(ant althoriam)

改进的pso算法（3个m文件和一个说明文件）： 本算法实现Clerc and Kennedy 2002年对pso算法的重要改进(The improved PSO algorithm (3 M files and a description of the file): An important improvement of Clerc and Kennedy in 2002 on the PSO algorithm this algorithm)

小世界模型网络构建的MATLAB源码。给出图形和随时演化(small world network by MATLAB，get the prediction of the future)

使用matlab语言编程解决非线性规划问题(Using matlab language programming to solve nonlinear programming problems)

南京大学的多类标签KNN分类器，对模式识别十分重要的作用，有着较好的分类效果，可以充分利用类别信息。(Nanjing university class label KNN classifier, the pattern recognition is an important role, has a good classification effect, can make full use of class information.)

我不太会用matlab，这就是一个用过来实现DPC的算法(Implementation of DPC)

可以实现对Excel中数据的读取和聚类，并输出聚类结果(It can read and cluster data in Excel and output clustering results.)

说明：  可以用来计算 二阶锥优化等重要问题， 非常非常 有用 可求解凸优化问题(Use SeDuMi to Solve LP, SDP and SCOP Problems: Remarks and Examples* * This file was prepared by Wu-Sheng Lu, Dept. of Electrical and Computer Engineering, University of Victoria, and it was revised on December 2, 2009. The name of the toolbox, SeDuMi, stands for self-dual minimization as it implements a self-dual embedding technique for optimization over self-dual homogeneous cones. Below we give comments on the usage of this software for the solution of LP, SDP, and SOCP problems. Numerical examples are included for illustration purposes. Some of the examples are from the book: A. Antoniou and W.-S. Lu, Practical Optimization: Algorithms and Engineering Applications, Springer, 2007.)