Question

se these methods to normalize the following group of data: 200, 300, 400, 600,1000 (a) min-max normalization by setting min D 0 and max D 1 (b) z-score normalization (d) normalization by decimal scaling

Answer 1

Answer:

Explanation:

Minmax normalization is a normalization strategy which linearly transforms x to y= (x-min)/(max-min), where min and max are the minimum and maximum values in X, where X is the set of observed values of x. When x=max, then y=1. This means, the minimum value in X is mapped to 0 and the maximum value in X is mapped to 1.