Object/Trait

org.clustering4ever.clustering.indices

ExternalIndicesLocal

Related Docs: trait ExternalIndicesLocal | package indices

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object ExternalIndicesLocal extends ExternalIndicesLocal

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Type Members

  1. final type FN = Int

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    Definition Classes
    ExternalIndicesLocal
  2. final type FP = Int

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    ExternalIndicesLocal
  3. final type TN = Int

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    ExternalIndicesLocal
  4. final type TP = Int

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    ExternalIndicesLocal

Value Members

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

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  2. final def ##(): Int

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

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  4. final def accuracy(truthAndPred: GenSeq[(Int, Int)]): Double

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    ExternalIndicesLocal
  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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    protected[java.lang]
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  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. final def everyMI(x: GenSeq[Int], y: GenSeq[Int]): (Double, Double, Double)

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    returns

    (MI, NMI_sqrt, NMI_max)

  10. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. final def mutualInformation(x: GenSeq[Int], y: GenSeq[Int]): Double

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    Compute the mutual information

    Compute the mutual information

    returns

    (Mutual Information, entropy x, entropy y)

  15. final def mutualInformationInternal(x: GenSeq[Int], y: GenSeq[Int]): (Double, Double, Double)

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    ExternalIndicesLocal
  16. final def ne(arg0: AnyRef): Boolean

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  17. final def nmi[S <: GenSeq[Int]](xy: Seq[(Int, Int)], normalization: Normalization): Double

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    Compute the normalize mutual entropy

    Compute the normalize mutual entropy

    normalization

    nature of normalization, either sqrt or max

    returns

    Normalize Mutual Information

  18. final def nmi(x: GenSeq[Int], y: GenSeq[Int], normalization: Normalization = SQRT): Double

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    Compute the normalize mutual entropy

    Compute the normalize mutual entropy

    normalization

    nature of normalization, either sqrt or max

    returns

    Normalize Mutual Information

  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. final def obtainConfusionMatrix(truthAndPred: GenSeq[(Int, Int)]): (TP, FP, TN, FN)

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    Definition Classes
    ExternalIndicesLocal
  22. final def prepareLabels[S <: GenSeq[Int]](x: S): (Map[Int, Int], S)

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    Prepare labels in order to get them in the range 0 -> n-1 rather than random labels values

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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Inherited from ExternalIndicesLocal

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