How to classifiy data using Fuzzy subtractive clustering?
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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));
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