Sort cell values greater and smaller than the threshold

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NA
NA 2020-4-10
评论： Image Analyst 2020-4-11
I have
C={[7],[4],[1],[2],[1],[3]};
A = [1 2 4 9; 6 9 9 13; 9 14 9 15; 11 14 11 14; 13 14 15 18; 11 16 11 16];
thresh = 3;
I want to sort the cell array according to
1-find values bigger than 3
{[7],[4],[3]}
2- sort it from smallest (3) to largest
{[3],[4],[7]}
3- add the remaining value of C to C_new (in largest to smallest order)
C_new ={[3],[4],[7],[2],[1],[1]}
4- change the order of A according to C_new
[7] in C is correspond to [1 2 4 9] in A
result should be
C_new ={[3],[4],[7],[2],[1],[1]}
A_new = [ 11 16 11 16;
6 9 9 13;
1 2 4 9;
11 14 11 14;
9 14 9 15;
13 14 15 18]

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采纳的回答

the cyclist
the cyclist 2020-4-10
编辑：the cyclist 2020-4-10
A little awkward, but it works.
The algorithm is based on the fact that you want all elements sorted by their distance from the threshold value, but with all the above-threshold values coming before the below-threshold values.
% Original data
C={[7],[4],[1],[2],[1],[3]};
A = [1 2 4 9; 6 9 9 13; 9 14 9 15; 11 14 11 14; 13 14 15 18; 11 16 11 16];
thresh = 3;
% Convert C to numeric
dblC = cell2mat(C);
% Find the maximum distance that any element is from threshold.
% (This will become a "penalty" to below-threshold values,
% ensuring they are "further" from the threshold than any
% above-threshold value
maxdist = max(abs(dblC-thresh));
% Define a metric that is distance from threshold,
% but where below-threshold values are penalized
metric = abs(dblC-thresh) + maxdist.*(dblC<thresh);
% Sort the values according to that metric
[~,sortingIndex] = sort(metric);
C_new = C(sortingIndex);
A_new = A(sortingIndex,:);

更多回答（1 个）

Image Analyst
Image Analyst 2020-4-10
Clear as mud. I have no idea what A is used for, what step 4 means, and how A_new is computed, but this will get you through step 3:
C={[7],[4],[1],[2],[1],[3]}
dblC = cell2mat(C) % Convert to double for simplicity in sorting.
A = [1 2 4 9; 6 9 9 13; 9 14 9 15; 11 14 11 14; 13 14 15 18; 11 16 11 16]
thresh = 3;
logicalIndexes = dblC >= thresh
part1 = sort(dblC(logicalIndexes), 'ascend')
part2 = sort(dblC(~logicalIndexes), 'descend')
cMat = [part1, part2]
% Put into cell for some weird reason
for k = 1 : length(cMat)
C_new{k} = cMat(k);
end
Though it baffles me why C and C_new are cell arrays in the first place instead of much simpler double vectors.

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