What is it?
In Mathematics, Manhattan distance, also known as L2 distance in Machine Learning, is a distance measure which can be defined as the sum of the absolute differences between two points in a plane.
It’s mathematically represented as:
In Mathematics, Manhattan distance, also known as L2 distance in Machine Learning, is a distance measure which can be defined as the sum of the absolute differences between two points in a plane.
It’s mathematically represented as: