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  • Category : CSharp
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  • Update : 2012-11-28
  • Size : 290kb
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  • Author :韩***
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Introduction - If you have any usage issues, please Google them yourself
In this program, the training sample set containing 30 samples, the vector length sample the {1,18,11,11,0.5513196} K = 5, K-nearest neighbor classifier. Samples read from the file data.txt The program runs The results showed that all the samples, as well as its class, be classified sample category ({1,18,11,11,0.5513196} belong to the " 2" category), as well as its five nearest neighbor category and it distance.
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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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