how to efficiently find the indices?
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Hi,
I have a matrix of N-by-M with integers. I need to efficiently find the indices for all of the unique elements in the matrix. The solution I have is via a "for" loop:
uM = unique (M(:));
for i = 1 : length(uM)
I(i) = find(M == uM(i));
end
This works fine, but with a large matrix, this is slow. I wonder if there are better solutions. thanks very much!
1 comentario
Geoff
el 3 de Mayo de 2012
One way to make this code faster without changing anything fundamental would be to preallocate the cell array before your loop:
I = cell(length(uM),1);
Respuesta aceptada
Richard Brown
el 2 de Mayo de 2012
sort is your friend:
First we sort the entries of A so that like entries are adjacent
[S, iSorted] = sort(A(:));
Then we find the markers - where the value changes, plus the endpoints
markers = [0; find(diff(S)); numel(A)];
All we need to do is find the entries of iSorted corresponding to each block.
for i = 1:numel(markers)-1
uM(i) = S(markers(i)+1);
I{i} = iSorted(markers(i)+1:markers(i+1));
end
2 comentarios
Más respuestas (6)
Leah
el 2 de Mayo de 2012
Matlab has a nice function built in for this
[B,I,J] = UNIQUE(...) also returns index vectors I and J such
that B = A(I) and A = B(J) (or B = A(I,:) and A = B(J,:)).
0 comentarios
Andrei Bobrov
el 3 de Mayo de 2012
[uM,n,n] = unique (M(:));
I = accumarray(n,1:numel(n),[],@(x){sort(x)});
2 comentarios
Richard Brown
el 2 de Mayo de 2012
Depending on whether you want the first or the last occurence
[uM, I] = unique(M, 'first')
[uM, I] = unique(M)
0 comentarios
Walter Roberson
el 2 de Mayo de 2012
Your suggested code will not work if there are any duplicates, as the find() would return multiple values in that case and multiple values cannot be stored into a single numeric array element.
Have you considered using the second or third return value from unique() ?
0 comentarios
Pinpress
el 2 de Mayo de 2012
2 comentarios
Richard Brown
el 2 de Mayo de 2012
Not really - J is just A(:), but with the unique elements replaced with 1:nUnique. So it's no better
Geoff
el 2 de Mayo de 2012
This comes straight out of some of my own code... I guess it's the reverse of what you want though.
uM = unique(M);
I = arrayfun(@(x) find(uM==x,1), M);
For every element in M, it gives an index into uM. I use this to reduce columns of data in a matrix that are common to multiple targets.
So you seem to want: for every element in uM an array of indices into M. The result of course would be a cell array.
This would be:
I = arrayfun(@(x) find(M==x), uM, 'UniformOutput', false);
2 comentarios
Richard Brown
el 2 de Mayo de 2012
I think that's what he was trying before, but found the repeated calls to find to be too slow
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