Class

org.clustering4ever.clustering.dcdpm

Master

Related Doc: package dcdpm

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final case class Master(varianceInClusters: Double, varianceBetweenCenters: Double, n: Int, gamma: Double, parameters: ArrayBuffer[(Array[Double], Array[Array[Double]])], dim: Int) extends MasterWorkerCommons[GlobalCluster] with Product with Serializable

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Product, Equals, MasterWorkerCommons[GlobalCluster], Serializable, Serializable, AnyRef, Any
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  1. Master
  2. Product
  3. Equals
  4. MasterWorkerCommons
  5. Serializable
  6. Serializable
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Instance Constructors

  1. new Master(varianceInClusters: Double, varianceBetweenCenters: Double, n: Int, gamma: Double, parameters: ArrayBuffer[(Array[Double], Array[Array[Double]])], dim: Int)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def addAuxiliaryParameters(h: Int, y: GlobalCluster): Unit

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val c: Map[Int, Int]

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  7. def calculateProbaWithLog(y: GlobalCluster): Map[Int, Double]

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  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  9. val clusterVector: ArrayBuffer[GlobalCluster]

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    Definition Classes
    MasterWorkerCommons

  10. def createisNewCluster(y: GlobalCluster): Map[Int, Int]

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  11. val dim: Int

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

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    Definition Classes
    AnyRef

  13. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  14. var gamma: Double

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  15. def gammaInference(gamma: Double, a: Double, b: Double, k: Int, n: Int): Double

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

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    Definition Classes
    AnyRef → Any

  17. def gibbsSampling(): ArrayBuffer[GlobalCluster]

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  18. val h: Int

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  19. val individuals: ArrayBuffer[GlobalCluster]

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  20. def initialize(): Unit

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  21. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  22. def label(pointId: Int): Unit

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  23. val m: Array[Double]

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  24. val n: Int

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

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    Definition Classes
    AnyRef

  26. def normalLikelihood(data: Array[Double], mean: Array[Double], σ1: Array[Array[Double]]): Double

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  27. final def notify(): Unit

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    Definition Classes
    AnyRef

  28. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  29. val parameters: ArrayBuffer[(Array[Double], Array[Array[Double]])]

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  30. def removeCluster(id: Int): GlobalCluster

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

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    Definition Classes
    AnyRef

  32. def updateClusterId(id: Int, newId: Int): Unit

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  33. def updateExistingClasses(existingK: Int, cent: Array[ResumeCluster]): Unit

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  34. val varianceBetweenCenters: Double

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    Definition Classes
    Master → MasterWorkerCommons

  35. val varianceInClusters: Double

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    Definition Classes
    Master → MasterWorkerCommons

  36. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  39. val σ1: Array[Array[Double]]

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  40. val σ2: Array[Array[Double]]

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Inherited from Product

Inherited from Equals

Inherited from MasterWorkerCommons[GlobalCluster]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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