how to do leave-one-out cross validation of samples in cells

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ML
ML 2016-5-11
编辑： Stephen23 2016-5-11
Given a cell array C {1x 50}, how can I create leave-one-out loop such that in each of the 50 loops a different cell is "removed" from C and stored in a matrix, and the remaining 49 cells are vertically concatenated in another matrix(C{1};C{2};C{3};...).
So, in each loop two matrices are created; 1- vertically concatenated 49 cells 2- the 1 removed cell

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Stephen23
Stephen23 2016-5-11
编辑：Stephen23 2016-5-11
C = num2cell(1:50);
Method One: Colon Operator
N = numel(C);
for k = 1:N
ind = C{k}
tmp = vertcat(C{[1:N-1,N+1:end]})
end
Method Two: setdiff
vec = 1:numel(C);
for k = vec
ind = C{k}
tmp = vertcat(C{setdiff(vec,k)})
end

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