C++ implementation of data mining methods and Bayesian classification k- nearest neighbor classification method, there is source code, sample data, documentation

DM_BayesAndKNN\Debug\DM_BayesAndKNN.exe
..............\.....\DM_BayesAndKNN.ilk
..............\.....\DM_BayesAndKNN.pdb
..............\.M_BayesAndKNN\BayesAndKNN.h
..............\..............\data_form.txt
..............\..............\Debug\DM_BayesAndKNN.log
..............\..............\.....\DM_BayesAndKNN.obj
..............\..............\.....\DM_BayesAndKNN.pch
..............\..............\.....\...............tlog\CL.read.1.tlog
..............\..............\.....\...................\CL.write.1.tlog
..............\..............\.....\...................\DM_BayesAndKNN.lastbuildstate
..............\..............\.....\...................\link.read.1.tlog
..............\..............\.....\...................\link.write.1.tlog
..............\..............\.....\stdafx.obj
..............\..............\.....\vc120.idb
..............\..............\.....\vc120.pdb
..............\..............\DM_BayesAndKNN.cpp
..............\..............\DM_BayesAndKNN.vcxproj
..............\..............\DM_BayesAndKNN.vcxproj.filters
..............\..............\ReadMe.txt
..............\..............\Source_data.csv
..............\..............\stdafx.cpp
..............\..............\stdafx.h
..............\..............\targetver.h
..............\DM_BayesAndKNN.sdf
..............\DM_BayesAndKNN.sln
..............\DM_BayesAndKNN.v12.suo
..............\ipch\dm_bayesandknn-a58cd615\dm_bayesandknn-4824fa4a.ipch
..............\Source_data.xlsx
..............\操作说明文档.txt
..............\DM_BayesAndKNN\Debug\DM_BayesAndKNN.tlog
..............\..............\Debug
..............\ipch\dm_bayesandknn-a58cd615
..............\Debug
..............\DM_BayesAndKNN
..............\ipch
DM_BayesAndKNN

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