com.thoughtworks.datacommons.prepbuddy.clusterers

LevenshteinDistance

class LevenshteinDistance extends ClusteringAlgorithm

This algorithm treats cardinal value as a key but grouped those values together whom Lenenshtein Distance is less than 4.

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ClusteringAlgorithm, Serializable, Serializable, AnyRef, Any
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  1. LevenshteinDistance
  2. ClusteringAlgorithm
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Instance Constructors

  1. new LevenshteinDistance()

Value Members

  1. final def !=(arg0: AnyRef): Boolean

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    AnyRef

  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  11. final def getClass(): Class[_]

    Definition Classes
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  12. def getClusters(tuples: Array[(String, Int)]): Clusters

    Definition Classes
    LevenshteinDistance → ClusteringAlgorithm

  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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  22. final def wait(arg0: Long): Unit

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Inherited from ClusteringAlgorithm

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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