How to classifiy data using Fuzzy subtractive clustering?

Dear friends, Currently i am working in Fuzzy subtractive clustering. Belo i have mentioned the code. The problem i dont know how to get classification accuracy? I have created 5 rules using Fuzzy inference system.Can any one help how to implement Fuzzy rules using matlab code?? How to proceed after this?? Thanks in advance.

 finputtrain  = data(train,:);   % train_data
 foutputtrain = labels(train,:); % train_labels

 finputtest= data(test,:);        % test_data
 foutputtest= labels(test,:);     % Target

%clustering the data

[C,S] = subclust([finputtrain,foutputtrain],0.5);

% Generating FISuisng subtractive clustering

myfis = genfis2(finputtrain,foutputtrain,0.2,[],[1.25 0.5 0.15 0]);  

fuzout  = evalfis (finputtrain,myfis);
trnrmse = norm(fuzout-foutputtrain)/sqrt(length(fuzout));

testfuzout = evalfis (finputtest,myfis); 
testrmse   = norm(testfuzout-foutputtest)/sqrt(length(testfuzout));