中文说明：应用背景该文件夹包含模式识别识别的8个程序， 1.Fisher分类算法 2.感知器算法 3.最小二乘算法 4.快速近邻算法 5.K-近邻法 6.剪辑近邻法和压缩近邻法 7.二叉决策树算法 各.m文件均为脚本程序，而非函数，可以很简单的将其改成函数形式 主要考虑到这只是演示，便于傻瓜操作，所以各.m文件均为脚本程序。关键技术main.m：主函数，提供命令行交互操作，即可通过交互查看演示效果，也可单独运行各脚本程序 Fishe.m: Fisher算法 SinglePerceptron.m: 单样本修正感知器算法 Widrow_Hoff.m: 最小二乘法 decisionTree.m: 二叉决策树 KNN.m: K-近邻法 FastNN.m: 快速近邻法 Condensing.m: 剪辑近邻法和压缩近邻法 NNforCondense.m: 唯一的一个函数，供Condensing.m调用
English Description：
Application backgroundThe folder contains 8 procedures for pattern recognition and identification,1.Fisher classification algorithm2 perceptron algorithm3 least squares algorithm4 fast nearest neighbor algorithm5.K- nearest neighbor method6 clip nearest neighbor method and the compressed nearest neighbor methodTwo 7 fork decision tree algorithmEach.M file is a script, rather than a function, it can be very simple to change its function formThe main consideration is that this is just a demonstration, easy to fool operation, so the.M file is a script program.Key TechnologyMain.m: the main function, provide the command line interactive operation, you can through the interactive view of the results, but also to run the scriptFisher Fishe.m: algorithmSinglePerceptron.m: single sample modified perceptron algorithmWidrow_Hoff.m: least square methodDecisionTree.m: two fork decision treeK- KNN.m: nearest neighbor methodFastNN.m: fast nearest neighbor m