If x is a vector of individual differences for each attribute, the "size" of x can be measured using a variety of norms (and the distance between any two points). The L2 norm is the most widely used norm. Different normalization procedures can be employed, but you should be fine if you scale each feature so that 80% of the points have a value between -10 and 10

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