Clustering results measurement

Measure percentage of Accuracy and the Rand index of clustering results

Measure percentage of Accuracy and the Rand index of clustering results
The number of class must equal to the number cluster
Output
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 results
Input
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]=AccMeasure(T,idx)