The website is in Maintenance mode. We are in the process of adding more features.
Any new bookmarks, comments, or user profiles made during this time will not be saved.

AIML.com

Machine Learning Resources

What is Euclidean Distance?

Bookmark this question

The Euclidean Distance, or L2 norm, is the most common distance metric used in clustering. It measures the straight-line, or shortest, distance between observations in p-dimensional space. In two dimensions, the formula reduces to the commonly used Pythagorean theorem. For two observations x1 and x2, the Euclidean Distance is computed by the following, where the superscript denotes the dimension from 1 to n:

Leave your Comments and Suggestions below:

Please Login or Sign Up to leave a comment

Partner Ad  

Find out all the ways
that you can

Explore Questions by Topics

Partner Ad

Learn Data Science with Travis - your AI-powered tutor | LearnEngine.com