Interface EditDistance<R>
- Type Parameters:
R
- The type of similarity score unit used by this EditDistance.
- All Superinterfaces:
SimilarityScore<R>
- All Known Implementing Classes:
CosineDistance
,HammingDistance
,JaccardDistance
,JaroWinklerDistance
,LevenshteinDetailedDistance
,LevenshteinDistance
,LongestCommonSubsequenceDistance
Interface for Edit Distances.
An edit distance is a formal metric on the Kleene closure (X<sup>*</sup>
) over an
alphabet (X
). Note, that a metric
on a set S
is a function d: [S * S] -> [0, INFINITY)
such
that the following hold for x,y,z
in
the set S
:
d(x,y) >= 0
, non-negativity or separation axiomd(x,y) == 0
, if and only if,x == y
d(x,y) == d(y,x)
, symmetry, andd(x,z) <= d(x,y) + d(y,z)
, the triangle inequality
This is a BiFunction<CharSequence, CharSequence, R>.
The apply
method
accepts a pair of CharSequence
parameters
and returns an R
type similarity score.
- Since:
- 1.0
-
Method Summary
Modifier and TypeMethodDescriptionapply
(CharSequence left, CharSequence right) Compares two CharSequences.
-
Method Details
-
apply
Compares two CharSequences.- Specified by:
apply
in interfaceSimilarityScore<R>
- Parameters:
left
- the first CharSequenceright
- the second CharSequence- Returns:
- The similarity score between two CharSequences
-