k-nearest-neighbor K近邻算法的C++实现，训练后模型可以对测试数据进行归类。找了一些PUDN上的程序发现都没有很好的训练和测试数据集，所以自己写了一个直接放在main函数里面，不要从外部文件读取。工程运行于vc++ 6.0环境。Debug目下exe文件可以直接双击运行查看结果。-K nearest neighbor of C++ implementation, training model can be classified on the test data. Find some PUDN found on the program are not good training and testing data sets, so write a main function directly on the inside, not from an external file to read. Operation of the project in vc++ 6.0 environment. Debug heads can double-click the exe file to run see the results.