info.debatty.java.stringsimilarity

Class SorensenDice

java.lang.Object

info.debatty.java.stringsimilarity.SorensenDice

All Implemented Interfaces:

NormalizedStringDistance, NormalizedStringSimilarity, StringDistance, StringSimilarity, Serializable

public class SorensenDice
extends Object
implements NormalizedStringDistance, NormalizedStringSimilarity

Similar to Jaccard index, but this time the similarity is computed as 2 * |V1 inter V2| / (|V1| + |V2|). Distance is computed as 1 - cosine similarity.

Author:

Thibault Debatty

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected int	k

Constructor Summary

Constructors

Constructor and Description
SorensenDice()
SorensenDice(int k) Sorensen-Dice coefficient, aka Sørensen index, Dice's coefficient or Czekanowski's binary (non-quantitative) index.

Method Summary

Methods

Modifier and Type	Method and Description
double	distance(String s1, String s2)
int	getK() Return k, the length of k-shingles (aka n-grams)
static void	main(String[] args)
double	similarity(String s1, String s2) Compute and return a measure of similarity between 2 strings.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

k

protected final int k

Constructor Detail

SorensenDice

public SorensenDice(int k)

Sorensen-Dice coefficient, aka Sørensen index, Dice's coefficient or Czekanowski's binary (non-quantitative) index. The strings are first converted to boolean sets of k-shingles (sequences of k characters), then the similarity is computed as 2 * |A inter B| / (|A| + |B|). Attention: Sorensen-Dice distance (and similarity) does not satisfy triangle inequality.

Parameters:

k -

SorensenDice

public SorensenDice()

Method Detail

main

public static void main(String[] args)

Parameters:

args - the command line arguments

similarity

public double similarity(String s1,
                String s2)

Description copied from interface: StringSimilarity

Compute and return a measure of similarity between 2 strings.

Specified by:

similarity in interface StringSimilarity

Returns:

similarity (0 means both strings are completely different)

distance

public double distance(String s1,
              String s2)

Specified by:

distance in interface StringDistance

getK

public int getK()

Return k, the length of k-shingles (aka n-grams)

Returns: