文件名称:k_means
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- 上传时间:2012-11-16
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文件大小:46.28kb
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k均值处理流程:
(1) 从 n个数据对象任意选择 k 个对象作为初始聚类中心;
(2) 循环(3)到(4)直到每个聚类不再发生变化为止;
(3) 根据每个聚类对象的均值(中心对象),计算每个对象与这些中心对象的距离;并根据最小距离重新对相应对象进行划分;
(4) 重新计算每个(有变化)聚类的均值(中心对象)-k means
(1) 从 n个数据对象任意选择 k 个对象作为初始聚类中心;
(2) 循环(3)到(4)直到每个聚类不再发生变化为止;
(3) 根据每个聚类对象的均值(中心对象),计算每个对象与这些中心对象的距离;并根据最小距离重新对相应对象进行划分;
(4) 重新计算每个(有变化)聚类的均值(中心对象)-k means
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下载文件列表
k_means/FenleiDilog.cpp
k_means/FenleiDilog.h
k_means/InputNumDlg.cpp
k_means/InputNumDlg.h
k_means/k_means.aps
k_means/k_means.clw
k_means/k_means.cpp
k_means/k_means.dsp
k_means/k_means.dsw
k_means/k_means.h
k_means/k_means.ncb
k_means/k_means.opt
k_means/k_means.plg
k_means/k_means.rc
k_means/k_meansDoc.cpp
k_means/k_meansDoc.h
k_means/k_meansView.cpp
k_means/k_meansView.h
k_means/MainFrm.cpp
k_means/MainFrm.h
k_means/ReadMe.txt
k_means/res/k_means.ico
k_means/res/k_means.rc2
k_means/res/k_meansDoc.ico
k_means/res/Toolbar.bmp
k_means/resource.h
k_means/StdAfx.cpp
k_means/StdAfx.h
k_means/res
k_means
k_means/FenleiDilog.h
k_means/InputNumDlg.cpp
k_means/InputNumDlg.h
k_means/k_means.aps
k_means/k_means.clw
k_means/k_means.cpp
k_means/k_means.dsp
k_means/k_means.dsw
k_means/k_means.h
k_means/k_means.ncb
k_means/k_means.opt
k_means/k_means.plg
k_means/k_means.rc
k_means/k_meansDoc.cpp
k_means/k_meansDoc.h
k_means/k_meansView.cpp
k_means/k_meansView.h
k_means/MainFrm.cpp
k_means/MainFrm.h
k_means/ReadMe.txt
k_means/res/k_means.ico
k_means/res/k_means.rc2
k_means/res/k_meansDoc.ico
k_means/res/Toolbar.bmp
k_means/resource.h
k_means/StdAfx.cpp
k_means/StdAfx.h
k_means/res
k_means
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