What is edit distance?
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The edit distance is a metric that quantifies the dissimilarity between two strings by counting the minimum number of edit operations required to transform one string into the other. Edit operations include insertions, deletions, and substitutions of characters. It is widely used in computational biology, speech recognition, and machine learning . The edit distance with swap and mismatch considers additional operations of swapping characters and allowing for mismatches. Isometric words are defined as words that can be transformed into each other with minimal edit operations while maintaining certain properties, such as being f-free. Isometric words have connections to isometric subgraphs of hypercubes . Efficient algorithms have been developed to compute the edit distance, both in the unweighted and weighted settings, with various complexities depending on the specific requirements .
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| The paper defines edit distance as a metric of dissimilarity between strings and discusses various edit operations such as match, substitution, and deletion. | |
| The paper does not provide a direct definition of edit distance. | |
| The paper does not provide a direct definition of edit distance. |
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