Clustering results measurement 1.0

Measure percentage of Accuracy and the Rand index of clustering resultsThe number of class must equal to the number clusterOutput Acc = Accuracy of clustering results rand_index = Rand's Index, measure an agreement of the clustering results match = 2xk matrix which are the best match of the Target and clustering resultsInput T = 1xn target index idx =1xn matrix of the clustering results EX: X=[randn(200,2);randn(200,2)+6,;[randn(200,1)+12,randn(200,1)]]; T=[ones(200,1);ones(200,1).*2;ones(200,1).*3]; idx=kmeans(X,3,'emptyaction','singleton','Replicates',5); [Acc,rand_index,match]=Acc_measure(T,idx)

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	3d1xn,  Agreement,  Index,  Match,  Matrix,  Measure,  Target
Users rating:	0/10