# What is the Euclidean distance?

Euclidean distance is a technique used to find the distance/dissimilarity among objects.

## Example:

 Age Marks Sameed 10 90 Shah zeb 6 95

## Formulae:

Euclidean distance (sameed, sameed) = SQRT (   (X1 – X2)+ (Y1 -Y2)2   ) = 0

Euclidean distance (sameed, sameed) = SQRT ( (10 – 10)+ (90 -90)2) = 0

Here note that (90-95) = -5 and when we take sqaure of a negative number then it will be a positive number. For example, (-5)2 = 25

Euclidean distance (sameed, shah zeb) = SQRT ( (10 – 6)+ (90 -95)2) = 6.40312

Euclidean distance (shah zeb, sameed) = SQRT ( (10 – 6)+ (90 -95)2) = 6.40312

Euclidean distance (sameed, sameed) = SQRT ( (10 – 10)+ (90 -90)2) = 0

Euclidean Distance is given below;

 Sameed Shah zeb Sameed 0 6.40312 Shah zeb 6.40312 0

This file contains the Euclidean distance of the data after the min-max, decimal scaling, and Z-Score normalization.

## Euclidean distance after the min-max, decimal scaling, and Z-Score normalization

Let’s see the “Euclidean distance after the min-max, decimal scaling, and Z-Score normalization”. 