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•  package vickumar1981

  Definition Classes

  github

•  package stringdistance

  Provides classes for calculating distances and fuzzy match similarities between two strings.

  Provides classes for calculating distances and fuzzy match similarities between two strings. Also provides implicits for using distance and fuzzy match scores as an operator, like:

  val result = "abc" levenshtein "abc"

  Includes functionality for phonetic comparisons between strings.

  Overview

  The main class to use is com.github.vickumar1981.stringdistance.StringDistance

  If you include com.github.vickumar1981.stringdistance.StringConverter, you can convert/use the string distance and score functions as an operator between two strings.

  To compare two strings phonetically, i.e. if they sound alike, use the com.github.vickumar1981.stringdistance.util.StringSound class.

  To use in Java, please use the corresponding classes in the com.github.vickumar1981.stringdistance.util package.

  • Java String Distance Class: com.github.vickumar1981.stringdistance.util.StringDistance
  • Java String Sound Class: com.github.vickumar1981.stringdistance.util.StringSound

  Class	Description
  com.github.vickumar1981.stringdistance.StringDistance	Singleton class with fuzzy match scores and distances
  com.github.vickumar1981.stringdistance.StringConverter	Implicit converstions between strings s1 and s2
  com.github.vickumar1981.stringdistance.StringSound	Phonetic comparison between strings s1 and s2
  com.github.vickumar1981.stringdistance.util.StringDistance	Java class for fuzzy match scores and distances
  com.github.vickumar1981.stringdistance.util.StringSound	Java class for phonetic comparison between strings s1 and s2

  Definition Classes

  vickumar1981

•  object ArrayDistance

  Main class to work with generic arrays, Array[T], analagous to StringDistance

  Main class to work with generic arrays, Array[T], analagous to StringDistance

  import com.github.vickumar1981.stringdistance.ArrayDistance._
  
  // Example Levenshtein Distance and Score
  val levenshteinDist = Levenshtein.distance(Array("m", "a", "r", "t", "h", "a"), Array("m", "a", "r", "h", "t", "a")) // 2
  val levenshtein = Levenshtein.score(Array("m", "a", "r", "t", "h", "a"), Array("m", "a", "r", "h", "t", "a")) // 0.667

  Definition Classes

  stringdistance

• Cosine
• Damerau
• DiceCoefficient
• DistanceMetric
• Hamming
• Jaccard
• Jaro
• JaroWinkler
• Levenshtein
• LongestCommonSeq
• NGram
• NeedlemanWunsch
• Overlap
• ScoreFromDistanceMetric
• ScoreMetric
• SmithWaterman
• SmithWatermanGotoh
• Tversky
• WeightedDistanceMetric
• WeightedScoreMetric

com.github.vickumar1981.stringdistance.ArrayDistance

Jaccard