How can i recover from this error, Sub scripted assignment dimension mismatch error?
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I found it very difficult to recover from this error, please note that variable 'class(:,index)' has to accept 50 values, which method i should adapt, since its already having an index, i found it difficult to convert?
Subscripted assignment dimension mismatch.
Error in Test_Cross_Random (line 189)
[value class(:, index)] = min(tmp');
for trial = 1:total_trial
Dim = size(F_train,2) - round(size(F_train,2)*0.15); %0.15 0.20 0.25
disc_set = Eigenface_f(single(F_train),Dim);
F_train = disc_set'*F_train;
F_test = disc_set'*F_test;
for index = 1: length(para)
output{index} = classify(F_train, F_train_size, F_test, para(index));
tmp = output{index};
[value class(:, index)] = min(tmp');
[confusion, accur_CRT(trial), TPR, FPR] = confusion_matrix(class(:, index), F_test_size);
end
end
12 Comments
Accepted Answer
Guillaume
on 9 Jan 2017
There are two possible reasons for the error. We don't have enough information to know which is the cause of your problem:
1) the variable class already exists before the index loop and has different number of rows that the number of columns returned by min. To solve this, clear class before the loop or, better, preallocate it:
class = zeros(size(F_train, 1), numel(para));
for index = ...
output{index} = ...
[~, class(:, index)] = min(output{index}, [], 2); %This is much clearer than your double transpose
2) the numbers of rows in output{index} varies for each index. In which case, you can't assign the output of min to a matrix, as the number of elements will vary at each step. Store the output in a cell array:
class = cell(size(para));
for index = ...
output{index} = ...
[~, class{index}] = min(output{index}, [], 2); %This is much clearer than your double transpose
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