Computing Euclidean distance between 2 points

조회 수: 2(최근 30일)
Elysi Cochin
Elysi Cochin 2022년 5월 3일
편집: Bruno Luong 2022년 5월 3일
I found a code computing Euclidean distance as
diff = q - p;
dist = sqrt(diff * diff');
is there any difference from the standard Euclidean distance formula, why transpose is taken?

채택된 답변

Rik 2022년 5월 3일
편집: Rik 2022년 5월 3일
By doing a matrix multiplication on a vector, you implicitly take the sum over all elements.
Note that this will only work if both p and q are row vectors.
diff * diff' , sum(diff .* diff)
ans = 0.6624
ans = 0.6624

추가 답변(1개)

Bruno Luong
Bruno Luong 2022년 5월 3일
편집: Bruno Luong 2022년 5월 3일
For a row vector d
% sum(d.^2)
is equal to
% d*d'
d = 1×3
9 6 5
ans = 142
ans = 142


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