StringDistance

Main class to organize functionality of different string distance algorithms

import com.github.vickumar1981.stringdistance.StringDistance._

// Scores between strings
val cosSimilarity: Double = Cosine.score("hello", "chello")
val damerau: Double = Damerau.score("martha", "marhta")
val diceCoefficient: Double = DiceCoefficient.score("martha", "marhta")
val hamming: Double = Hamming.score("martha", "marhta")
val jaccard: Double = Jaccard.score("karolin", "kathrin")
val jaro: Double = Jaro.score("martha", "marhta")
val jaroWinkler: Double = JaroWinkler.score("martha", "marhta")
val levenshtein: Double = Levenshtein.score("martha", "marhta")
val needlemanWunsch: Double = NeedlemanWunsch.score("martha", "marhta")
val ngramSimilarity: Double = NGram.score("karolin", "kathrin")
val bigramSimilarity: Double = NGram.score("karolin", "kathrin", 2)
val overlap: Double = Overlap.score("karolin", "kathrin")
val smithWaterman: Double = SmithWaterman.score("martha", "marhta")
val smithWatermanGotoh: Double = SmithWatermanGotoh.score("martha", "marhta")
val tversky: Double = Tversky.score("karolin", "kathrin", 0.5)

// Distances between strings
val damerauDist: Int = Damerau.distance("martha", "marhta")
val hammingDist: Int = Hamming.distance("martha", "marhta")
val levenshteinDist: Int = Levenshtein.distance("martha", "marhta")
val longestCommonSubSeq: Int = LongestCommonSeq.distance("martha", "marhta")
val ngramDist: Int = NGram.distance("karolin", "kathrin")
val bigramDist: Int = NGram.distance("karolin", "kathrin", 2)

Linear Supertypes

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Value Members

final def !=(arg0: Any): Boolean

Definition Classes
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final def ##(): Int

Definition Classes
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final def ==(arg0: Any): Boolean

Definition Classes
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object Cosine extends StringMetric[CosineAlgorithm]
object Damerau extends StringMetric[DamerauLevenshteinAlgorithm]
object DiceCoefficient extends StringMetric[DiceCoefficientAlgorithm]
object Hamming extends StringMetric[HammingAlgorithm]
object Jaccard extends StringMetric[JaccardAlgorithm]
object Jaro extends StringMetric[JaroAlgorithm]
object JaroWinkler extends StringMetric[JaroWinklerAlgorithm]
object Levenshtein extends StringMetric[LevenshteinAlgorithm]
object LongestCommonSeq extends StringMetric[LongestCommonSeqAlorithm]
object NGram extends StringMetric[NGramAlgorithm]
object NeedlemanWunsch extends StringMetric[NeedlemanWunschAlgorithm]
object Overlap extends StringMetric[OverlapAlgorithm]
object SmithWaterman extends StringMetric[SmithWatermanAlgorithm]
object SmithWatermanGotoh extends StringMetric[SmithWatermanGotohAlgorithm]
object Tversky extends StringMetric[TverskyAlgorithm]
final def asInstanceOf[T0]: T0

Definition Classes
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def clone(): AnyRef

Attributes
protected[java.lang]
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Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

Definition Classes
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def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
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@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

Definition Classes
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final def notifyAll(): Unit

Definition Classes
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final def synchronized[T0](arg0: ⇒ T0): T0

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def toString(): String

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final def wait(): Unit

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@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

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@throws( ... )
final def wait(arg0: Long): Unit

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@throws( ... )

Related Doc: package stringdistance

object StringDistance

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

object Cosine extends StringMetric[CosineAlgorithm]

object Damerau extends StringMetric[DamerauLevenshteinAlgorithm]

object DiceCoefficient extends StringMetric[DiceCoefficientAlgorithm]

object Hamming extends StringMetric[HammingAlgorithm]

object Jaccard extends StringMetric[JaccardAlgorithm]

object Jaro extends StringMetric[JaroAlgorithm]

object JaroWinkler extends StringMetric[JaroWinklerAlgorithm]

object Levenshtein extends StringMetric[LevenshteinAlgorithm]

object LongestCommonSeq extends StringMetric[LongestCommonSeqAlorithm]

object NGram extends StringMetric[NGramAlgorithm]

object NeedlemanWunsch extends StringMetric[NeedlemanWunschAlgorithm]

object Overlap extends StringMetric[OverlapAlgorithm]

object SmithWaterman extends StringMetric[SmithWatermanAlgorithm]

object SmithWatermanGotoh extends StringMetric[SmithWatermanGotohAlgorithm]

object Tversky extends StringMetric[TverskyAlgorithm]

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

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