The Minimum Edit Distance algorithm calculates the minimum number of edits required to transform one word into another. This is often referred to as the Levenshtein distance.

Computing the edit distance of two strings is one of the most basic problems in computer science and combinatorial optimization. Tree edit distance is a natural generalization of edit distance in ...

The Minimum Edit Distance is a measure of how similar two strings are to one another. One of the many processes designed to calculate this similarity is the 'minimum edit distance' algorithm.

The edit distance (also known as Levenshtein distance) of two strings is the minimum number of insertions, deletions, and substitutions of characters needed to transform one string into the other. The ...

Graph matching and edit distance algorithms form a cornerstone of modern computational techniques used to quantify the similarity between structured data. These methods underpin a wide array of ...

Edit distance—a classical problem in computer science—has received ongoing attention from both practitioners and theoreticians. Given two strings A and B, the edit distance is the minimum number of ...

Discovering a more efficient algorithm for edit distance would have major implications for bioinformatics, which currently relies on approximations and shortcuts to deal with edit distance. But if ...