Euclidean distance Find distance between X and y: xEX, yEY, n="number of dimensions", A="degree of minkowski" x2Ⅹ x ="absolute value of x",W="weight vector"can be all I 单Qw0(VE(+(x-￥xD) ⊥=1 A=1 city Block(x, r)=2(**( x,-y D) 主=1 Euclidean(x, y) E(w:*(lxY, D') Y = 1=1Euclidean distance ◼ Here D is the number of dimensions in the data vector. For instance: ◆ RGB color channel in images ◆ Logitude and latitude in GPS data = = − D i d euc x i y i 1 2 (x,y) ( ) 10