文件名称:Kmeans_EM_Delphi
介绍说明－－下载内容均来自于网络，请自行研究使用
这是一个关于k-means和E-M的比较文件,里面包括源代码和详细的试验报告-This is a study on k-means and EM comparison of documents, which include the source code and detailed test report
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下载文件列表
Kmeans和em算法实验
..................\Data.txt
..................\Data1.txt
..................\Data2.txt
..................\Data3.txt
..................\Project1.cfg
..................\Project1.dof
..................\Project1.dpr
..................\Project1.exe
..................\Project1.res
..................\Unit1.dcu
..................\Unit1.ddp
..................\Unit1.dfm
..................\Unit1.pas
..................\Unit1.~ddp
..................\Unit1.~dfm
..................\Unit1.~pas
..................\实验报告.doc
..................\相关资料
..................\........\EM算法及其加速.caj
..................\........\EM算法在统计自然语言处理中的应用.kdh
..................\........\Gaussian Random Number Generators.pdf
..................\........\Gentle Tutorial of the EM Algorithm.pdf
..................\........\产生高斯随机序列的新方法.caj
..................\........\基于Bayesian的期望最大化方法_BEM算法.caj
..................\........\基于EM算法的文本聚类优化研究.caj
..................\........\基于EM算法的极大似然参数估计探讨.caj
..................\........\基于EM算法的高斯混合密度参数估计.caj
..................\........\混合高斯em算法matlab源码可算三个参数
..................\........\....................................\EM_GM.m
..................\........\....................................\EM_GM_fast.m
..................\........\....................................\Plot_GM.m
..................\........\结合EM算法的朴素贝叶斯方法在中文网页分类上的应用.caj
..................\........\聚类.ppt
..................\........\高斯分布随机数生成.txt
..................\Data.txt
..................\Data1.txt
..................\Data2.txt
..................\Data3.txt
..................\Project1.cfg
..................\Project1.dof
..................\Project1.dpr
..................\Project1.exe
..................\Project1.res
..................\Unit1.dcu
..................\Unit1.ddp
..................\Unit1.dfm
..................\Unit1.pas
..................\Unit1.~ddp
..................\Unit1.~dfm
..................\Unit1.~pas
..................\实验报告.doc
..................\相关资料
..................\........\EM算法及其加速.caj
..................\........\EM算法在统计自然语言处理中的应用.kdh
..................\........\Gaussian Random Number Generators.pdf
..................\........\Gentle Tutorial of the EM Algorithm.pdf
..................\........\产生高斯随机序列的新方法.caj
..................\........\基于Bayesian的期望最大化方法_BEM算法.caj
..................\........\基于EM算法的文本聚类优化研究.caj
..................\........\基于EM算法的极大似然参数估计探讨.caj
..................\........\基于EM算法的高斯混合密度参数估计.caj
..................\........\混合高斯em算法matlab源码可算三个参数
..................\........\....................................\EM_GM.m
..................\........\....................................\EM_GM_fast.m
..................\........\....................................\Plot_GM.m
..................\........\结合EM算法的朴素贝叶斯方法在中文网页分类上的应用.caj
..................\........\聚类.ppt
..................\........\高斯分布随机数生成.txt