Collect double values of a matrix
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    Tobias Riewendt
 on 7 Oct 2019
  
    
    
    
    
    Commented: Tobias Riewendt
 on 9 Oct 2019
            Hi, 
I have got a question. I have a matrix with three columns (X,Y,Z coordinates) and nearly 60000 rows. Now, I would like to compare the X and Z values of all 60000 rows. All rows whose X and Z values only occur once should be deleted, only the rows whose X and Z value occur twice or more should be regarded. Next, the rows with the equal X and Z value should be compared and the row with the higher Y value should be written into a new matrix.
I thought about using a loop for the search of the rows with equal X and Z values but the computing time is quite high, is there a better way? And how do I define the "do"?
for k = 1:end
for m = k+1:end
   if A(k,1) == A(m,1) && A(k,3) ==A(m,3)
      do something
   end
end
end
I haven't thought about the loop for the search of the higher Y value, yet.
Yours,
Tobias
0 Comments
Accepted Answer
  Andrei Bobrov
      
      
 on 9 Oct 2019
        
      Edited: Andrei Bobrov
      
      
 on 9 Oct 2019
  
      Let xyz - your array (n x 3);
[~,~,c] = unique(xyz(:,[1,3]),'rows','stable'); % c - serial numbers of rows with same values in first and last columns. 
d = accumarray(c,1); % d - the number of specific rows with the same first and last columns. Here first row of 'd' c = 1, nth row - c = n.
[lo,i] = ismember(c,find(d > 1)); % duplicate rows in xyz.
j = accumarray(i(lo),find(lo),[],@(x)x(max(xyz(x,2)) == xyz(x,2))); % index of the row with the maximum value in the second column.
out = xyz(j,:);
3 Comments
More Answers (2)
  Martin C.
 on 8 Oct 2019
        hmm well to count occurences you could somehow use a hashmap
containers.Map in matlab. that would be efficient. 
0 Comments
  Turlough Hughes
      
 on 8 Oct 2019
        
      Edited: Turlough Hughes
      
 on 9 Oct 2019
  
      Ok Following your comment I've edited my answer:
I would first find rows which have equal X and Z values.
c=1;
for ii=1:size(A,1)
    if A(ii,1)==A(ii,3)
        id_s(c)=ii;
        c=c+1;
    end
end
B=A(id_s,:);
Rows in A with equal X and Z value and are assigned to B.
To ensure a given X (and hence a given Z) of a row is repeated in another row I find the rows where this is not the case and delete them.
[~,ix] = unique(B(:,1)); % so B(ix,1) includes all values in B(:,1) without repeating any.  
Xtw=B(:,1);
Xtw(ix)=[]; % Xtw - includes all values in X that occurred two or more times.
[~,i1x]=setdiff(B(:,1),Xtw);  % Gets index for rows in B where the x value is not repeated elsewhere.
B(i1x,:)=[];
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