Index exceeds the number of array elements (2).
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load featurs_T
load featurs_S
load Group_Train
load Group_Test
load featurs_TLBP
load featurs_SLBP
result= multisvm(Feat1,Group_Train1,Feat2,Group_Test1);
result1= result;
result= multisvm(Feat1LBP,Group_Train1,Feat2LBP,Group_Test1);
result2=result;
% First we concatenate all prediciton arrays into one big matrix.
% Make sure that all prediction arrays are of the same type, I am assumming here that they
% are type double. I am also assuming that all prediction arrays are column vectors.
Prediction = [result1,result2];
Final_decision = zeros(length(Feat2),1);
all_results = [1,2]; %possible outcomes
for row = 1:length(Feat2)
election_array = zeros(1,2);
for col = 1:2 %your five different classifiers
election_array(Prediction(row,col)) = ...
election_array(Prediction(row,col))+1;
end
[~,I] = max(election_array);
Final_decision(row) = all_results(I);
end
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Walter Roberson
2022년 5월 21일
max() of a 2d array is a vector so I is a vector. all_results(I) is a vector. You are trying to assign that vector to a scalar left side.
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