Package org.simmetrics.metrics

Class Summary

Class	Description
BlockDistance<T>	Calculates the block distance and similarity over two multisets.
CosineSimilarity<T>	Calculates the cosine similarity over two multisets.
DamerauLevenshtein	Calculates the Damerau-Levenshtein similarity and distance measure between two strings.
Dice<T>	Calculates the Dice similarity coefficient and distance over two sets.
EuclideanDistance<T>	Calculates the Euclidean distance and similarity over two multisets.
GeneralizedJaccard<T>	Calculates the generalized Jaccard distance and similarity coefficient over two multisets.
GeneralizedOverlapCoefficient<T>	The generalized overlap coefficient measures the overlap between two multisets.
HammingDistance	Calculates the Hamming distance distance between lists and strings.
Identity<T>	Identity similarity and distance metric that returns a distance of 0.0 and similarity 1.0 when the inputs are equals, and vice-versa when they're not.
Jaccard<T>	Calculates the Jaccard distance and similarity coefficient over two multisets.
Jaro	Calculates the Jaro distance (similarity) over two strings.
JaroWinkler	Calculates the Jaro-Winkler distance (similarity) over two strings.
Levenshtein	Calculates the Levenshtein distance and similarity over two strings.
LongestCommonSubsequence	Applies the longest common subsequence algorithm to calculate the similarity and distance between two strings.
LongestCommonSubstring	Applies the longest common substring algorithm to calculate the similarity and distance between two strings.
MongeElkan	Calculates the normalized Monge-Elkan distance (similarity) over two strings.
NeedlemanWunch	Applies the Needleman-Wunsch algorithm to calculate the similarity between two strings.
OverlapCoefficient<T>	The overlap coefficient measures the overlap between two sets.
SimonWhite<T>	Calculates the Dice similarity coefficient and distance over two multisets.
SmithWaterman	Applies the Smith-Waterman algorithm to calculate the similarity between two strings.
SmithWatermanGotoh	Applies the Smith-Waterman algorithm to calculate the similarity between two strings.
StringDistances	Utility class for string distance metrics.
StringMetrics	Utility class for string similarity metrics.
TanimotoCoefficient<T>	Calculates the Tanimoto similarity coefficient over two sets.