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Description: 用于图像配准等应用的互信息计算，为Matlab程序，比较简单，但很实用。-for image registration applications such as the mutual information, as Matlab procedures are relatively simple, but practical.
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Size: 1204 |
Author: 张大鹏 |
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Description: 用于图像配准等应用的互信息计算，为Matlab程序，比较简单，但很实用。-for image registration applications such as the mutual information, as Matlab procedures are relatively simple, but practical.
Platform: |
Size: 1024 |
Author: 张大鹏 |
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Description: Mutual Information computation
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Size: 3072 |
Author: ali |
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Description: Clustering Evaluation: Evaluate the clustering result by accuracy and normalized mutual information
Deng Cai, Xiaofei He, and Jiawei Han, "Document Clustering Using Locality Preserving Indexing", in IEEE TKDE, 2005. Bibtex source
bestMap
hungarian
MutualInfo
===========================================
fea = rand(50,70)
gnd = [ones(10,1) ones(15,1)*2 ones(10,1)*3 ones(15,1)*4]
res = kmeans(fea,4)
res = bestMap(gnd,res)
============= evaluate AC: accuracy ==============
AC = length(find(gnd == res))/length(gnd)
============= evaluate MIhat: nomalized mutual information =================
MIhat = MutualInfo(gnd,res)
-Clustering Evaluation: Evaluate the clustering result by accuracy and normalized mutual information
Deng Cai, Xiaofei He, and Jiawei Han, "Document Clustering Using Locality Preserving Indexing", in IEEE TKDE, 2005. Bibtex source
bestMap
hungarian
MutualInfo
===========================================
fea = rand(50,70)
gnd = [ones(10,1) ones(15,1)*2 ones(10,1)*3 ones(15,1)*4]
res = kmeans(fea,4)
res = bestMap(gnd,res)
============= evaluate AC: accuracy ==============
AC = length(find(gnd == res))/length(gnd)
============= evaluate MIhat: nomalized mutual information =================
MIhat = MutualInfo(gnd,res)
===========================================
Platform: |
Size: 5120 |
Author: wzy |
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Description: 用非参数估计的方法（核密度估计）来估计互信息-Nonparametric estimation method (kernel density estimation) to estimate the mutual information
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Size: 2048 |
Author: 秦坤 |
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Description: 互信息,一个随机变量中包含另一个随机变量的信息量，可用于度量随机变量间的所有相关关系，包括线性相关关系和非线性相关关系。-Mutual information, a random variable that contains information on another random variable, can be used to measure all the correlations between random variables, including linear correlations and non-linear correlations.
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Size: 1024 |
Author: 刘 |
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Description: 通过高斯核密度估计计算多元变量之间的互信息熵-The mutual information entropy between multivariate variables is calculated by Gaussian kernel density estimation
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Size: 1024 |
Author: 张毅 |
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Description: 可以实现离散和连续变量的互信息计算，可 以实现离散和连续变量的互信息计算。-Can achieve continuous variables and discrete mutual information calculation can be realized mutual information continuous variables and discrete calculations may be implemented discrete and continuous variables calculated mutual information.
Platform: |
Size: 1024 |
Author: 邹文 |
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