Uses of Interface
org.simmetrics.Distance

Packages that use Distance

Package	Description
org.simmetrics
org.simmetrics.metrics

Uses of Distance in org.simmetrics

Subinterfaces of Distance in org.simmetrics

Modifier and Type	Interface and Description
interface	ListDistance<E> Measures the unnormalized dissimilarity between two arbitrary lists containing elements of the same type.
interface	MultisetDistance<E> Measures the unnormalized dissimilarity between two arbitrary multisets containing elements of the same type.
interface	SetDistance<E> Measures the unnormalized dissimilarity between two arbitrary sets containing elements of the same type.
interface	StringDistance Measures the unnormalized dissimilarity between two Strings.

Uses of Distance in org.simmetrics.metrics

Classes in org.simmetrics.metrics that implement Distance

Modifier and Type	Class and Description
class	BlockDistance<T> Calculates the block distance and similarity over two multisets.
class	CosineSimilarity<T> Calculates the cosine similarity over two multisets.
class	DamerauLevenshtein Calculates the Damerau-Levenshtein similarity and distance measure between two strings.
class	Dice<T> Calculates the Dice similarity coefficient and distance over two sets.
class	EuclideanDistance<T> Calculates the Euclidean distance and similarity over two multisets.
class	GeneralizedJaccard<T> Calculates the generalized Jaccard distance and similarity coefficient over two multisets.
class	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.
class	Jaccard<T> Calculates the Jaccard distance and similarity coefficient over two multisets.
class	Jaro Calculates the Jaro distance (similarity) over two strings.
class	JaroWinkler Calculates the Jaro-Winkler distance (similarity) over two strings.
class	Levenshtein Calculates the Levenshtein distance and similarity over two strings.
class	LongestCommonSubsequence Applies the longest common subsequence algorithm to calculate the similarity and distance between two strings.
class	LongestCommonSubstring Applies the longest common substring algorithm to calculate the similarity and distance between two strings.
class	OverlapCoefficient<T> The overlap coefficient measures the overlap between two sets.
class	SimonWhite<T> Calculates the Dice similarity coefficient and distance over two multisets.