Package org.apache.commons.text.similarity

Class JaroWinklerSimilarity

java.lang.Object
org.apache.commons.text.similarity.JaroWinklerSimilarity
All Implemented Interfaces:
BiFunction<CharSequence,CharSequence,Double>, ObjectSimilarityScore<CharSequence,Double>, SimilarityScore<Double>
public class JaroWinklerSimilarity extends Object implements SimilarityScore<Double>
A similarity algorithm indicating the percentage of matched characters between two character sequences.

The Jaro measure is the weighted sum of percentage of matched characters from each file and transposed characters. Winkler increased this measure for matching initial characters.

This implementation is based on the Jaro Winkler similarity algorithm from https://en.wikipedia.org/wiki/Jaro%E2%80%93Winkler_distance.

This code has been adapted from Apache Commons Lang 3.3.

Since:
1.7

  • Constructor Details

    • JaroWinklerSimilarity

      public JaroWinklerSimilarity()
      Creates a new instance.

  • Method Details

    • apply

      public Double apply(CharSequence left, CharSequence right)
      Computes the Jaro Winkler Similarity between two character sequences. 
       sim.apply(null, null)          = IllegalArgumentException
 sim.apply("foo", null)         = IllegalArgumentException
 sim.apply(null, "foo")         = IllegalArgumentException
 sim.apply("", "")              = 1.0
 sim.apply("foo", "foo")        = 1.0
 sim.apply("foo", "foo ")       = 0.94
 sim.apply("foo", "foo  ")      = 0.91
 sim.apply("foo", " foo ")      = 0.87
 sim.apply("foo", "  foo")      = 0.51
 sim.apply("", "a")             = 0.0
 sim.apply("aaapppp", "")       = 0.0
 sim.apply("frog", "fog")       = 0.93
 sim.apply("fly", "ant")        = 0.0
 sim.apply("elephant", "hippo") = 0.44
 sim.apply("hippo", "elephant") = 0.44
 sim.apply("hippo", "zzzzzzzz") = 0.0
 sim.apply("hello", "hallo")    = 0.88
 sim.apply("ABC Corporation", "ABC Corp") = 0.91
 sim.apply("D N H Enterprises Inc", "D & H Enterprises, Inc.") = 0.95
 sim.apply("My Gym Children's Fitness Center", "My Gym. Childrens Fitness") = 0.92
 sim.apply("PENNSYLVANIA", "PENNCISYLVNIA") = 0.88
      Specified by:
      apply in interface BiFunction<CharSequence,CharSequence,Double>
      Specified by:
      apply in interface ObjectSimilarityScore<CharSequence,Double>
      Specified by:
      apply in interface SimilarityScore<Double>
      Parameters:
      left - the first input, must not be null.
      right - the second input, must not be null.
      Returns:
      result similarity.
      Throws:
      IllegalArgumentException - if either CharSequence input is null.

    • apply

      public <E> Double apply(SimilarityInput<E> left, SimilarityInput<E> right)
      Computes the Jaro Winkler Similarity between two character sequences. 
       sim.apply(null, null)          = IllegalArgumentException
 sim.apply("foo", null)         = IllegalArgumentException
 sim.apply(null, "foo")         = IllegalArgumentException
 sim.apply("", "")              = 1.0
 sim.apply("foo", "foo")        = 1.0
 sim.apply("foo", "foo ")       = 0.94
 sim.apply("foo", "foo  ")      = 0.91
 sim.apply("foo", " foo ")      = 0.87
 sim.apply("foo", "  foo")      = 0.51
 sim.apply("", "a")             = 0.0
 sim.apply("aaapppp", "")       = 0.0
 sim.apply("frog", "fog")       = 0.93
 sim.apply("fly", "ant")        = 0.0
 sim.apply("elephant", "hippo") = 0.44
 sim.apply("hippo", "elephant") = 0.44
 sim.apply("hippo", "zzzzzzzz") = 0.0
 sim.apply("hello", "hallo")    = 0.88
 sim.apply("ABC Corporation", "ABC Corp") = 0.91
 sim.apply("D N H Enterprises Inc", "D & H Enterprises, Inc.") = 0.95
 sim.apply("My Gym Children's Fitness Center", "My Gym. Childrens Fitness") = 0.92
 sim.apply("PENNSYLVANIA", "PENNCISYLVNIA") = 0.88
      Type Parameters:
      E - The type of similarity score unit.
      Parameters:
      left - the first input, must not be null.
      right - the second input, must not be null.
      Returns:
      result similarity.
      Throws:
      IllegalArgumentException - if either CharSequence input is null.
      Since:
      1.13.0