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두 vector사이의 거리를 나타내는 수식 중의 하나. Clustering에 많이 활용된다.
Minkowski Distance between two vector, X(x1,x2,...,xp), Y(y1,y2,...,yp)
$$ d(X,Y) = \sqrt[r]{ \sum_{i=1}^{p} | x_i - y_i |^r } $$
위식에서
- r=1 : Manhattan distance
- r=2 : Euclidean distance
- r=무한대 : Sup distance
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