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  • Category : AI-NN-PR
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  • Update : 2012-11-26
  • Size : 270kb
  • Downloaded :0次
  • Author :徐加子
  • About : Nobody
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Introduction - If you have any usage issues, please Google them yourself
k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining .
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k_means
.......\algorithm.cpp
.......\algorithm.h
.......\Debug
.......\.....\algorithm.obj
.......\.....\k_means algorithm.obj
.......\.....\k_means.exe
.......\.....\k_means.ilk
.......\.....\k_means.pch
.......\.....\k_means.pdb
.......\.....\vc60.idb
.......\.....\vc60.pdb
.......\k_means algorithm.cpp
.......\k_means.dsp
.......\k_means.dsw
.......\k_means.ncb
.......\k_means.opt
.......\k_means.plg
.......\聚类过程结果显示.txt
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