Packages

package root

Definition Classes: root

package com

Definition Classes: root

package github

Definition Classes: com

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

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

ScoreFromDistanceMetric

WeightedDistanceMetric

WeightedScoreMetric

com.github.vickumar1981.stringdistance.ArrayDistance

Damerau

object Damerau extends ScoreFromDistanceMetric with LevenshteinDistanceImpl

Linear Supertypes

LevenshteinDistanceImpl, ScoreFromDistanceMetric, AnyRef, Any

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final def asInstanceOf[T0]: T0
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protected[lang]
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@throws(classOf[java.lang.CloneNotSupportedException]) @native()
def damerauLevenshtein[T](a: Array[T], b: Array[T]): Int
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protected
Definition Classes
LevenshteinDistanceImpl
def distance[T](arr1: Array[T], arr2: Array[T]): Int
Definition Classes
Damerau → ScoreFromDistanceMetric
final def eq(arg0: AnyRef): Boolean
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def levenshtein[T](a: Array[T], b: Array[T]): Int
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Definition Classes
LevenshteinDistanceImpl
final def ne(arg0: AnyRef): Boolean
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final def notifyAll(): Unit
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@native()
def score[T](s1: Array[T], s2: Array[T]): Double
Definition Classes
ScoreFromDistanceMetric
final def synchronized[T0](arg0: => T0): T0
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def toString(): String
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Packages

Overview

Damerau

object Damerau extends ScoreFromDistanceMetric with LevenshteinDistanceImpl

Value Members

Inherited from LevenshteinDistanceImpl

Inherited from ScoreFromDistanceMetric

Inherited from AnyRef

Inherited from Any

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Packages

Overview

Damerau

object Damerau extends ScoreFromDistanceMetric with LevenshteinDistanceImpl

Value Members

Inherited from LevenshteinDistanceImpl

Inherited from ScoreFromDistanceMetric

Inherited from AnyRef

Inherited from Any

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Damerau