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Levenshtein Distance

ML Models & Algorithms
A distance-based algorithm measuring the minimum number of single-character edits (insertions, deletions, substitutions) needed to change one string into another.

Levenshtein Distance is a foundational distance-based string matching algorithm used in fuzzy matching. It is widely considered the best algorithm for measuring the distance between two strings.

The measure of distance is defined as the minimum number of single-character edit operations (insertions, deletions, or substitutions) required to transform one string into the other. This makes it highly effective for approximate matching, handling typos, and minor spelling differences. It is used in SEO for tasks like redirect mapping and mapping broken 404 URLs to live pages.

Related Concepts

Query Distance Similarity Score

Sources & References

Introduction to Machine Learning for SEOs Course
academy.mlforseo.com

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