Description: K = 5 K-neighbor classification, the training sample set containing 30 samples, vector length of 5
- [KNNBP] - KNN and BP algorithm. Enter a series of
- [SerialKNN] - KNN classification algorithm source code
- [knn] - k neighbor problem, I do, the effect is
- [knn] - KNN
File list (Check if you may need any files):
K-最近邻分类\data.txt
............\knn\classify.cpp
............\...\classify.dsp
............\...\classify.dsw
............\...\classify.ncb
............\...\classify.opt
............\...\classify.plg
............\...\Debug\classify.exe
............\...\.....\classify.ilk
............\...\.....\classify.obj
............\...\.....\classify.pch
............\...\.....\classify.pdb
............\...\.....\vc60.idb
............\...\.....\vc60.pdb
............\...\Myknn.dsp
............\...\Myknn.dsw
............\...\Myknn.ncb
............\...\Myknn.opt
............\...\Myknn.plg
............\...\Output.dat
............\KNN程序的说明.txt
............\输出结果.txt
............\knn\Debug
............\knn
K-最近邻分类
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