Euclidean distance, Manhattan distance and Chebyshev distance are all distance metrics which compute a number based on two data points. All the three metrics are useful in various use cases and differ in some important aspects which we bring out in this article.
Read this article to understand the difference between Euclidean, Manhattan and Chebyshev distance
Following image illustrates the difference:
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