- calculate the distances as Walter did in your other thread
- sort this and keep the second output (ind) [~, ind] = sort(...)
- reorder your matrix rowwise by ind Msorted = M(ind,:)
sort the rows of a matrix based on their distance from the mean
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Hello,
Consider a 20x10 matrix.
I am interested in sorting its rows based on their euclidean distance from the mean (average).
The closest row to the mean will have the shortest distance from it.
Any help please?
Thank you.
Best,
Pavlos
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Sean de Wolski
il 1 Mar 2012
Più risposte (1)
Rod
il 17 Mar 2016
Heres a full bit of code to do this Hope this will help someone out.
scaleX = X - repmat(mean(X),length(X),1);
XD = sqrt(sum(abs(scaleX).^2,2));
[~,idxs] = sort(XD);
XRSorted = X(idxs,:);
Note: This assumes X is a matrix with each column as a different dimension.
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