Euclidean distance (L2 norm)

algorithm
software-engineering
similarity-measurement
euclidean-measurement
l2-norm

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Euclidean distance is the shortest distance between two points in an N dimensional space also known as Euclidean space. It is used as a common metric to measure the similarity between two data points and used in various fields such as geometry, data mining, deep learning and others.

Read this article to understand the concept of Euclidean distance, its usage and properties

This image summarizes the concept of Euclidean Distance:


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Euclidean vs Manhattan vs Chebyshev Distance