How to remove repeating rows without unique function?
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I have a 624x2 matrix of ordered pairs, of which there are some repeating rows that I must remove. Is there a way to remove these repeating rows without using the unique function? Maybe using a for loop? The reason I can't use the unique function is because when I implement this matlab script in Simulink's Matlab Function block, the matrix must be sorted first before using the unique function. I can't sort the matrix because I will lose my ordered pairs and sortrows doesn't solve the issue either because I get the same error from Simulink.
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Accepted Answer
  Cedric
      
      
 on 25 Sep 2017
        
      Edited: Cedric
      
      
 on 25 Sep 2017
  
      Use the 'stable' option:
 >> A = randi( 3, 10, 2 )
 A =
     2     3
     1     1
     3     1
     3     1
     3     1
     3     3
     3     3
     2     1
     2     3
     1     1
 >> unique( A, 'rows' )
 ans =
     1     1
     2     1
     2     3
     3     1
     3     3
 >> unique( A, 'rows', 'stable' )
 ans =
     2     3
     1     1
     3     1
     3     3
     2     1
8 Comments
  Cedric
      
      
 on 26 Sep 2017
				My pleasure. The amount of unsupported features seems to be a real pain, good luck with the rest!
More Answers (1)
  Jan
      
      
 on 26 Sep 2017
        
      Edited: Jan
      
      
 on 26 Sep 2017
  
      I still do not understand, why you cannot simply sort the data. But this might be useful:
!!! UNTESTED !!!
function Data = UniqueRows2(Data)
nRow = size(Data, 1);
keep = true(nRow, 1);
for k1 = 1:nRow
  if keep(k1)
    for k2 = k1 + 1:nData
      if keep(k2)
        % For rows of length 2:
        keep(k2) = (Data(k2, 1) ~= Data(k1, 1)) | (Data(k2, 2) ~= Data(k1, 2));
        % General row length:
        % keep(k2) = any(bsxfun(@ne, Data(k2, :), Data(k1, :)), 2);
      end
    end
  end
end
Data = Data(keep, :);
end
This might be faster with vectorization:
function Data = UniqueRows(Data)
nRow = size(Data, 1);
keep = true(nRow, 1);
for k1 = 1:nRow
  if keep(k1)
    keep(k1 + 1:nData) = and(keep(k1 + 1:nData), ...
        any(bsxfun(@ne, Data(k2, :), Data(k1, :)), 2));
  end
end
Data = Data(keep, :);
end
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