In information theory and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. Informally, the Levenshtein distance between two words is equal to the number of single-character edits required to change one word into the other. The phrase edit distance is often used to refer specifically to Levenshtein distance.
The Levenshtein distance between two strings is defined as the minimum number of edits needed to transform one string into the other, with the allowable edit operations being insertion, deletion, or substitution of a single character. It is named after Vladimir Levenshtein, who considered this distance in 1965. It is closely related to pairwise string alignments.
Read more about Levenshtein Distance: Definition, Example, Applications, Relationship With Other Edit Distance Metrics, Computing Levenshtein Distance
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“Egoism is the law of perspective as it applies to feelings, according to which what is closest to us appears to be large and weighty, while size and weight decrease with our distance from things.”
—Friedrich Nietzsche (1844–1900)