How to return the row vector containing the highest values from a matrix?

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Hi, I can't seem to find a solution to this but it's a pretty simple problem. Say I have a matrix:
M = [10 9 11 7 8;
10 9 8 7 6;
9 6 7 8 5]
What I want to do is to somehow extract the row vector which holds the largest sequence. I have tried the max() function but it just doesn't retain the individual rows. It is important that it returns a specific row vector from M.
The rows won't always necessarily be sequential like this, so I cannot just use the row that sums to the largest value either.
Thanks
  2 Comments
James Tursa
James Tursa on 22 Nov 2016
Please define "largest sequence" for us. What is the exact criteria you want for this? What would be returned for your example above?
Lewis
Lewis on 22 Nov 2016
Edited: Image Analyst on 22 Nov 2016
Ah, the example isn't so good actually, but the largest sequence in that example would be
[10 9 11 7 8]
A better example might be:
M = [13 9 8 7 6;
13 12 11 9 8;
13 11 5 3 2]
Where I would want to return the following vector:
[13 12 11 9 8]
because if we were to sort all elements of each vector, then this one would contain the highest, the second highest, the third highest, etc.

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Accepted Answer

Image Analyst
Image Analyst on 22 Nov 2016
Try this:
M = [13 9 8 7 6;
13 12 11 9 8;
13 11 5 3 2]
% Find the maxima in each column independently.
columnMaxima = max(M, [], 1)
% Now sort in decending order.
columnMaxima = sort(columnMaxima, 'Descend')
  6 Comments
Image Analyst
Image Analyst on 22 Nov 2016
The second, optional output of max supplies the index from which the max value came from. Use it.

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More Answers (1)

dpb
dpb on 22 Nov 2016
Sort first by row (already done here in these examples), then by column, retaining the sort index. Then (I think, altho didn't prove concluseively) the row will be minimum of the sum of those indices (fewest permutations to arrange).
>> [~,ix]=sort(M,1);
>> [~,ix]=min(sum(ix,2))
>> M(ix,:)
ans =
13 12 11 9 8
>>

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