how to calculate the similarity between row vector and column vector using Euclidean distance
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how to calculate the similarity between row vector and column vector using Euclidean distance. I tried this code but it gives me this error. Error using - Matrix dimensions must agree.
u=[58 10 0 0 0 0 0 0 0 0 4 11 44 33];
v=[73 45 0 0 0 0 6 6 21 8 26 1 16 47];
t=v';
sim = sqrt(sum((u-t).^2,2))
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Guillaume
am 24 Feb. 2018
If you get this error, that would be because you're using a version of matlab older than R2016b. For versions that do not have the implicit expansion introduced in R2016b, you have to use bsxfun
sim = sqrt(sum(bsxfun(@minus, u, t) .^ 2, 2));
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javad ebrahimi
am 24 Feb. 2018
Bearbeitet: javad ebrahimi
am 24 Feb. 2018
Matlab can't calclate Subtraction of two matrices that do not have the same row and column And the correct way of writing code for the Euclidean distance is as follows:
u=[58 10 0 0 0 0 0 0 0 0 4 11 44 33];
v=[73 45 0 0 0 0 6 6 21 8 26 1 16 47];
sim = sqrt(sum((u-v).^2))
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Guillaume
am 24 Feb. 2018
Bearbeitet: Guillaume
am 24 Feb. 2018
@javad,
"Matlab can't calclate Subtraction of two matrices that do not have the same row and column"
What kmla wanted was the difference of the cartesian product of u and v, which is done exactly how he wrote it in R2016b or earlier. u-v.' will result in matrix of size numel(v) x numel(u).
In earlier versions of matlab, the same result is obtained using bsxfun.
@kmla,
I've told you how to fix your problem in my answer. What else do you need?
Amelia
am 9 Nov. 2019
I have the same error as kmla, the difference is that i compare two matrices of the same dimension, my malab is R2018a.
i have anther question, can i compare a cell vector by a matrix using this method, if not how i can do this.
Thanks In advance.
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