Euclidean distance
in [Matlab]
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From: Gumah on 24 May 2010 20:26 hi all how to get the Euclidean distance between two vectors using dist function lets say we have a=[1 2 3] b=[4 5 6] how can get C=dist(a,b) ?? I tried to use dist but got this error: ??? Error using ==> dist>apply at 118 Inner matrix dimensions do not match. Error in ==> boiler_weight at 38 result = apply(a,b,c); Error in ==> dist at 90 boiler_weight
From: Walter Roberson on 24 May 2010 20:43 Gumah wrote: > how to get the Euclidean distance between two vectors using dist > function > lets say we have > a=[1 2 3] > b=[4 5 6] > how can get C=dist(a,b) ?? I tried to use dist but got this error: > ??? Error using ==> dist>apply at 118 > Inner matrix dimensions do not match. > > Error in ==> boiler_weight at 38 > result = apply(a,b,c); > > Error in ==> dist at 90 > boiler_weight Which dist() function are you using? I see there is one for neural nets, but for it if the first parameter is not a string then the first parameter must be a square array of weights and the second parameter is the vectors. I do not immediately find dist() in the other toolboxes, and it is not part of basic Matlab. But what do you mean by the "Euclidean distance between two vectors" ? Vectors have magnitude and direction but not inherent position. Perhaps you mean sum((a-b).^2) ?
From: ImageAnalyst on 24 May 2010 20:56 On May 24, 8:43 pm, Walter Roberson <rober...(a)hushmail.com> wrote: > Perhaps you mean sum((a-b).^2) ? -------------------------------------------------- With the addition of the square root, that would be my guess. EuclideanDistance = sqrt(sum((a-b).^2))
From: Stephen Vanreusel on 25 May 2010 09:17
Hi, Alternatively, you can just use the NORM function in standard MATLAB: >> norm(a-b) ans = 5.1962 >> sqrt(sum((a-b).^2)) ans = 5.1962 ImageAnalyst <imageanalyst(a)mailinator.com> wrote in message <5d8655c3-003d-4560-a4b0-5702d3db3ab2(a)y12g2000vbg.googlegroups.com>... > On May 24, 8:43 pm, Walter Roberson <rober...(a)hushmail.com> wrote: > > Perhaps you mean sum((a-b).^2) ? > -------------------------------------------------- > With the addition of the square root, that would be my guess. > EuclideanDistance = sqrt(sum((a-b).^2)) |