Levenshtein coding

Levenshtein coding is a method related to error detection and correction that is based on the concept of the Levenshtein distance, which measures how different two strings are by counting the minimum number of single-character edits (insertions, deletions, or substitutions) required to transform one string into the other. The Levenshtein distance is commonly used in various applications such as spell checking, DNA sequencing, and natural language processing, where it is important to measure the similarity between strings.