● Problem Statement Suppose that a hospital tested the age and body fat data for 18 randomly selected adults with the following results: Age 23 23 27 27 39 41 47 49 50 %fat 9.5 26.5 7.8 17.8 31.4 25.9 27.4 27.2 31.2 Age 52 54 54 56 57 58 58 60 61 %fat 34.6 …
● Problem Statement Use the methods provided below to normalize the following group of data: 200, 300, 400, 600, 1000 (a) min-max normalization by setting min = 0 and max = 1 (b) z-score normalization (c) z-score normalization using the mean absolute deviation instead of standard deviation (d) normalization by decimal scaling ● Algorithm Input …
Custom min-max, z-score, MAD z-score and decimal scaling normalization in Python Read More »
● Problem Statement Following data (in increasing order) is provided for the attribute ‘age’: 13, 15, 16, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25, 30, 33, 33, 35, 35, 35, 35, 36, 40, 45, 46, 52, 70. (a) Use smoothing by bin means to smooth these data, using a bin depth …
Question Given two objects represented by the tuples (22, 1, 42, 10) and (20, 0, 36, 8):(a) Compute the Euclidean distance between the two objects.(b) Compute the Manhattan distance between the two objects.(c) Compute the Minkowski distance between the two objects, using q = 3.(d) Compute the supremum distance between the two objects. Solved answer …
Euclidean Distance, Manhattan distance and Minkowski distance in Python Read More »
