How to transform an array into a bottom triangle
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Dear Matlab community,
I have an array by the size of 11175 x 1 elements. These values come from a bottom triangle, which was created from a 149 x 149 matrix. My problem is I would like to get the vector of the last row and all the columns (so (149,:)) of the original matrix. If I could somehow transform this 11175 element array into the original matrix, I could get the values I want, but I'm having trouble as to how to do such a transformation. Any help would be greatly appreciated.
Thank you,
Paul
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dpb
2019-6-22
Depends on how the vector was created -- what's the storage order? Is it the normal ML column-major?
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dpb
2019-6-22
编辑:dpb
2019-6-22
On the above assumption, if V is the vector, then
N=149; % array size parameter
R=V(cumsum([N:-1:1])); % last row elements from vector
The difference between locations in the tril() vector of nonzero elements is just one less than that previous for each column; the first location in the vector for the Nth row is the Nth element so the last is just the size.
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dpb
2019-6-22
编辑:dpb
2019-6-22
Show how that would have been generated...what would be the V you would have from the above example?
ADDENDUM
Presuming the actual array is as the example (only larger, but absolute number of elements is immaterial), it's pretty difficult to generate the same tril() elements but from the opposite order--BUT if that is what was actually done, then the result is simply the last N values of the vector...
R=V(end-N+1:end);
Attach the actual dataset (or, even better, a smaller one so not so much to look at) that illustrates the actual storage order for the matrix in question. It's not unheard of that perhaps there's an error in having generated the data vector itself that makes for unexpected result, too, of coure.
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Walter Roberson
2019-6-22
squareform() ?
2 个评论
dpb
2019-6-22
squareform is specific to pdist function in that it returns a 0 diagonal as well. No way I can see to not return that. But, you could simply acknowledge it being there and use
S=squareform(V);
R=S(end,1:end-1);
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