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DM_YeDan

  • Category : e-language
  • Tags :
  • Update : 2013-01-08
  • Size : 7.82mb
  • Downloaded :0次
  • Author :dancy*****
  • About : Nobody
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Introduction - If you have any usage issues, please Google them yourself
KNN (K nearest neighbor) classification algorithm, as well as K-means (K mean) clustering algorithm is widely used two algorithms. The code VS2010 environment, with C++ language based KNN and K-means algorithm to achieve the classification and clustering of the Iris data set.
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DM_YeDan
........\data.txt
........\Debug
........\.....\CL.read.1.tlog
........\.....\CL.write.1.tlog
........\.....\DM_YeDan.Build.CppClean.log
........\.....\DM_YeDan.exe
........\.....\DM_YeDan.exe.intermediate.manifest
........\.....\DM_YeDan.ilk
........\.....\DM_YeDan.lastbuildstate
........\.....\DM_YeDan.log
........\.....\DM_YeDan.pdb
........\.....\link.read.1.tlog
........\.....\link.write.1.tlog
........\.....\main.obj
........\.....\mt.read.1.tlog
........\.....\mt.read.2.tlog
........\.....\mt.write.1.tlog
........\.....\vc100.idb
........\.....\vc100.pdb
........\DM_YeDan.sdf
........\DM_YeDan.sln
........\DM_YeDan.suo
........\DM_YeDan.vcxproj
........\DM_YeDan.vcxproj.filters
........\DM_YeDan.vcxproj.user
........\ipch
........\....\dm_yedan-5bdf8bbd
........\....\.................\dm_yedan-41bd75ad.ipch
........\main.cpp
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