All Classes
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All Classes Interface Summary Class Summary Class Description CharacterInsDelInterface As an adjunct to CharacterSubstitutionInterface, this interface allows you to specify the cost of deletion or insertion of a character.CharacterSubstitutionInterface Used to indicate the cost of character substitution.Cosine The similarity between the two strings is the cosine of the angle between these two vectors representation.Damerau Implementation of Damerau-Levenshtein distance with transposition (also sometimes calls unrestricted Damerau-Levenshtein distance).Examples Jaccard Each input string is converted into a set of n-grams, the Jaccard index is then computed as |V1 inter V2| / |V1 union V2|.JaroWinkler The Jaro–Winkler distance metric is designed and best suited for short strings such as person names, and to detect typos; it is (roughly) a variation of Damerau-Levenshtein, where the substitution of 2 close characters is considered less important then the substitution of 2 characters that a far from each other.Levenshtein The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one string into the other.LongestCommonSubsequence The longest common subsequence (LCS) problem consists in finding the longest subsequence common to two (or more) sequences.MetricLCS MetricLCS Distance metric based on Longest Common Subsequence, from the notes "An LCS-based string metric" by Daniel Bakkelund.MetricStringDistance String distances that implement this interface are metrics.NGram N-Gram Similarity as defined by Kondrak, "N-Gram Similarity and Distance", String Processing and Information Retrieval, Lecture Notes in Computer Science Volume 3772, 2005, pp 115-126.nischay21 NormalizedLevenshtein This distance is computed as levenshtein distance divided by the length of the longest string.NormalizedStringDistance Normalized string similarities return a similarity between 0.0 and 1.0.NormalizedStringSimilarity OptimalStringAlignment Implementation of the the Optimal String Alignment (sometimes called the restricted edit distance) variant of the Damerau-Levenshtein distance.PrecomputedCosine Example of computing cosine similarity with pre-computed profiles.QGram Q-gram distance, as defined by Ukkonen in "Approximate string-matching with q-grams and maximal matches".RatcliffObershelp Ratcliff/Obershelp pattern recognition The Ratcliff/Obershelp algorithm computes the similarity of two strings a the doubled number of matching characters divided by the total number of characters in the two strings.ShingleBased Abstract class for string similarities that rely on set operations (like cosine similarity or jaccard index).Sift4 Sift4 - a general purpose string distance algorithm inspired by JaroWinkler and Longest Common Subsequence.SorensenDice Similar to Jaccard index, but this time the similarity is computed as 2 * |V1 inter V2| / (|V1| + |V2|).StringDistance StringSimilarity WeightedLevenshtein Implementation of Levenshtein that allows to define different weights for different character substitutions.