文件名称:Kmeans_classfication
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Windows] [Visual C] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 306kb
- 下载次数:
- 0次
- 提 供 者:
- 林*
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
一个用K近邻实现分类的算法,k最近邻算法是模式识别中的一种比较简单而经典的分类算法-Achieved with a K-nearest neighbor classification algorithms, k-nearest neighbor algorithm for pattern recognition is a relatively simple and classic classification algorithm
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下载文件列表
Kmeans_classfication\classify.cpp
....................\classify.dsp
....................\classify.dsw
....................\classify.ncb
....................\classify.opt
....................\classify.plg
....................\data1.txt
....................\Debug\classify.obj
....................\.....\classify.sbr
....................\.....\Myknn.bsc
....................\.....\Myknn.exe
....................\.....\Myknn.ilk
....................\.....\Myknn.pch
....................\.....\Myknn.pdb
....................\.....\vc60.idb
....................\.....\vc60.pdb
....................\Myknn.dsp
....................\Myknn.dsw
....................\Myknn.ncb
....................\Myknn.opt
....................\Myknn.plg
....................\Output.dat
....................\readme.txt
....................\Debug
Kmeans_classfication
....................\classify.dsp
....................\classify.dsw
....................\classify.ncb
....................\classify.opt
....................\classify.plg
....................\data1.txt
....................\Debug\classify.obj
....................\.....\classify.sbr
....................\.....\Myknn.bsc
....................\.....\Myknn.exe
....................\.....\Myknn.ilk
....................\.....\Myknn.pch
....................\.....\Myknn.pdb
....................\.....\vc60.idb
....................\.....\vc60.pdb
....................\Myknn.dsp
....................\Myknn.dsw
....................\Myknn.ncb
....................\Myknn.opt
....................\Myknn.plg
....................\Output.dat
....................\readme.txt
....................\Debug
Kmeans_classfication