Min-Max Normalization
EasyMachine LearningMathArray
Description
Given an array of numbers, rescale every value to the [0, 1] range using min-max normalization: subtract the minimum and divide by (maximum - minimum). If all values are equal, return an array of zeros. Round each result to 4 decimal places.
Examples
Input:
[2,4,6,8]Output:
[0,0.3333,0.6667,1]Explanation:
The smallest value 2 maps to 0 and the largest 8 maps to 1, while every other value scales linearly between them by subtracting the minimum and dividing by the spread.
Input:
[5,10,15]Output:
[0,0.5,1]Explanation:
The smallest value 5 maps to 0 and the largest 15 maps to 1, while every other value scales linearly between them by subtracting the minimum and dividing by the spread.
Input:
[1,2,3,4,5]Output:
[0,0.25,0.5,0.75,1]Explanation:
The smallest value 1 maps to 0 and the largest 5 maps to 1, while every other value scales linearly between them by subtracting the minimum and dividing by the spread.
Constraints
- •
1 ≤ array length ≤ 10⁴ - •
-10⁴ ≤ value ≤ 10⁴