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) ===========================================

bestMap.m
hungarian.m
MutualInfo.m

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