What is min-max normalization? Where do we use it?

Data Science, AI and ML
, , ,
#1

Min-max normalization

#2

Min-Max Normalization is a type of normalization.
This method rescales the range of the data to [0,1].
In most cases, standardization is used feature-wise as well.

#3

Min-max normalisation is often known as feature scaling where the values of a numeric range of a feature of data, i.e. a property, are reduced to a scale between 0 and 1. Therefore, in order to calculate z, i.e. the normalised value of a member of the set of observed values of x, we must employ the following formula:

main-qimg-0d692d88876aeb26b1f1a578d1c5a94e

Where min and max are the minimum and maximum values in x given its range.