Dynamic programming | String metrics

Levenshtein distance

In information theory, linguistics, 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 the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other. It is named after the Soviet mathematician Vladimir Levenshtein, who considered this distance in 1965. Levenshtein distance may also be referred to as edit distance, although that term may also denote a larger family of distance metrics known collectively as edit distance. It is closely related to pairwise string alignments. (Wikipedia).

Levenshtein distance
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Damerau–Levenshtein distance | Metric space | Hamming distance | MinHash | Invariant (mathematics) | String metric | Zero-based numbering | Dynamic programming | Pseudocode | Diff | Edit distance | Prefix (computer science) | Levenshtein distance | Longest common subsequence problem | Information theory | Jaccard index | Transposition (mathematics) | Vladimir Levenshtein | Approximate string matching | Levenshtein automaton | Optimal matching | Hunt–Szymanski algorithm | Sequence alignment | Approximation algorithm | Dynamic time warping | Locality-sensitive hashing | String-to-string correction problem | Euclidean distance | Hirschberg's algorithm | Smith–Waterman algorithm | Matrix (mathematics) | Triangle inequality