Jaro-Winkler and Levenshtein string distance algorithms.

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Vladimir Sedach <>


Public Domain, LLGPLv3
vas-string-metrics provides the Jaro, Jaro-Winkler, Soerensen-Dice, Levenshtein, and normalized Levenshtein string distance/similarity metrics algorithms. The Jaro (function jaro-distance), Jaro-Winkler (function jaro-winkler-distance), Soerensen-Dice (function soerensen-dice-coefficient) and normalized Levenshtein (function normalized-levenshtein-distance) algorithms return a number in the range 0 to 1 indicating how similar two given strings are - where 0 indicates no similarity, and 1 indicatesa perfect match. The Jaro-Winkler metric is a heuristic suitable for shorter strings (such as place and people names), while the Levenshtein distance is computed as the minimum number of insertions, deletions, or substitutions needed to transform one string into the other (function levenshtein-distance). The Soerensen-Dice coefficient is a statistic suitable for heterogenous data sets and gives less weight to outliers[1]. The code is distributed under the terms of the LLGPLv3 (see LICENSE for details), except for the unit tests, which are in the public domain. [1]

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    Dependents (1)

    • varjo
    • GitHub
    • Quicklisp