Location:
Search - dengcai
Search list
Description: 在网上下载到的各种降维方法的MATLAB程序，希望对大家能有所帮助
Platform: |
Size: 47038 |
Author: 王皮 |
Hits:
Description: 在网上下载到的各种降维方法的MATLAB程序，希望对大家能有所帮助-Downloaded to a variety of methods of dimensionality reduction MATLAB procedures, in the hope that we can help
Platform: |
Size: 47104 |
Author: 王皮 |
Hits:
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 |
Hits:
Description: 邓蔡写的PCA算法，很详细，值得初学者借鉴-DengCai write PCA algorithm, very detailed, is worth reference for beginners
Platform: |
Size: 1024 |
Author: lianhao |
Hits: