模式识别-手写签名识别系统识别！使用K近邻，Bayes分类！-Pattern recognition- recognition of handwritten signature recognition system! Using the K-nearest neighbor and Bayes classification!

本程序中,训练样本集含有30个样本,矢量长度为5,对样本{1,18,11,11,0.5513196}进行K=5的K-最近邻分类. 样本从文件data.txt中读取，程序运行结果显示所有样本以及其类别，待分类样本所属的类别（{1,18,11,11,0.5513196}属于"2"类），以及它的5个最近邻的类别和与它之间的距离。-In this program, the training sample set containing 30 samples, the vector length

Implementation of k nearest neighbor in c# which could be employed for classification