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)

===========================================