| Package | Description |
|---|---|
| info.debatty.java.stringsimilarity | |
| info.debatty.java.stringsimilarity.interfaces |
| Modifier and Type | Class and Description |
|---|---|
class |
Cosine
The similarity between the two strings is the cosine of the angle between
these two vectors representation.
|
class |
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|.
|
class |
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.
|
class |
NormalizedLevenshtein
This distance is computed as levenshtein distance divided by the length of
the longest string.
|
class |
SorensenDice
Similar to Jaccard index, but this time the similarity is computed as 2 * |V1
inter V2| / (|V1| + |V2|).
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
NormalizedStringSimilarity |
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