how can I apply for loop to process a method 10 times and save different results for each time process runs for different variables.

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How can I apply for loop to simulate a method 10 times and save different results for each time process runs for different variables. Suppose I have process command
ma1 = knnclassify(testsample1,trainingset,group),
testsample1 = mobile_Motorola
(total 10 types of mobile) training set and group will be same for each simulation. This command should run after knn command.
Ka1 = sum(ma1==samplevalue)/length(ma1);
With each simulation sample value should also add by 1 sample value=1 to 10.

采纳的回答

Julia
Julia 2014-7-7
Assume the types are stored in matrix_types:
matrix_types
matrix_types(1)='type 1'
matrix_types(2)='type 2'
and so on and Ka1 should also be an array:
Ka1 = zeros(1,10);
for i = 1:10
ma1 = knnclassify(matrix_types(i),trainingset,group);
Ka1(i) = sum(ma1==samplevalue)/length(ma1);
end
So after the 10 iterations of the loop you find your results in Ka1.

更多回答(1 个)

Julia
Julia 2014-7-7
Is it possible to store your 10 types in an array/cell-array? Then you could use the index to call the right type in the for-loop.
  5 个评论
Zishan
Zishan 2014-7-8
I have done the same but there is some error like this. "??? In an assignment A(I) = B, the number of elements in B and I must be the same." I am attaching file, please have a look and tell me. First I am just using 'ma' and 'Ka' results and not including 'mb', 'mc', 'Kb', 'Kc' experiments. Regards.
Julia
Julia 2014-7-9
编辑:Julia 2014-7-9
Try to determine the sizes of ma and Ka by using the zeros-matrix.
Your ma-matrix is unnecessarily big ... Compare what you did to that what I wrote.
You also have to comment the unused code out. Else this could also be a reason for errors.

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