Class/Object

org.clustering4ever.clustering.chaining

DistributedClusteringChaining

Related Docs: object DistributedClusteringChaining | package chaining

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case class DistributedClusteringChaining[O, V <: GVector[V], Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz], Vecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, Vecto], S[X] <: Seq[X]](sc: SparkContext, data: S[Cz[O, V]], chainableID: Int, currentVectorization: Vecto[O, V], clusteringInformations: HMap[ClusteringInformationsMapping] = ...)(implicit ct: ClassTag[Cz[O, V]], ct2: ClassTag[S[Cz[O, V]]]) extends DataExplorator[O, V, Cz, S] with Product with Serializable

This classe intend to run many algorithms parallely on a distributed system for medium size datasets

Linear Supertypes
Product, Equals, DataExplorator[O, V, Cz, S], CollectionNature[S], ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. DistributedClusteringChaining
  2. Product
  3. Equals
  4. DataExplorator
  5. CollectionNature
  6. ClusteringSharedTypes
  7. Serializable
  8. Serializable
  9. AnyRef
  10. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new DistributedClusteringChaining(sc: SparkContext, data: S[Cz[O, V]], chainableID: Int, currentVectorization: Vecto[O, V], clusteringInformations: HMap[ClusteringInformationsMapping] = ...)(implicit ct: ClassTag[Cz[O, V]], ct2: ClassTag[S[Cz[O, V]]])

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Type Members

  1. final type ClusterID = Int

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    Definition Classes
    ClusteringSharedTypes

  2. final type Self[GV <: GVector[GV], OtherVecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, OtherVecto]] = DistributedClusteringChaining[O, GV, Cz, OtherVecto, S]

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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. final def addVectorizationOnData[GV <: GVector[GV], OtherVecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, OtherVecto]](vectorization: OtherVecto[O, GV]): Self[V, Vecto]

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final val chainableID: Int

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  7. def clone(): AnyRef

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

  8. final val clusteringInformations: HMap[ClusteringInformationsMapping]

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  9. val clusteringRunNumber: Int

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  10. implicit val currentClusteringInformationMapping: ClusteringInformationsMapping[VectorizationID, ClusteringInformationsLocal[O, V, Vecto]]

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    Attributes
    protected

  11. final val currentVectorization: Vecto[O, V]

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  12. implicit val currentVectorizationMapping: VectorizationMapping[VectorizationID, Vecto[O, V]]

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    Attributes
    protected

  13. final val data: S[Cz[O, V]]

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    Definition Classes
    DistributedClusteringChaining → DataExplorator

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

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    Definition Classes
    AnyRef

  15. def finalize(): Unit

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

  16. val fusionChainableSecurity: Int

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    A securty value in order to allow proper reduce of Chaining models

    A securty value in order to allow proper reduce of Chaining models

    Attributes
    protected

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

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    Definition Classes
    AnyRef → Any

  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  20. final def notify(): Unit

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    Definition Classes
    AnyRef

  21. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  22. final def runAlgorithm(algorithm: ClusteringAlgorithmLocal[V, _ <: ClusteringModelLocal[V]]): Self[V, Vecto]

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    Run one algorithm defined by user

  23. final def runAlgorithms(defaultParallelism: Int, argsModels: ClusteringAlgorithmLocal[V, _ <: ClusteringModelLocal[V]]*): Self[V, Vecto]

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  24. final val sc: SparkContext

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  25. final def switchForExistingVectorization[GV <: GVector[GV], OtherVecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, OtherVecto]](vectorization: OtherVecto[O, GV])(implicit ct: ClassTag[Cz[O, GV]], ct2: ClassTag[S[Cz[O, GV]]]): Self[GV, OtherVecto]

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    Update the current working vector for another existing vector in clusterizable vectorized field

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

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    Definition Classes
    AnyRef

  27. val vectorizations: HMap[VectorizationMapping]

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    HMap of original and added EasyVectorizationDistributed

  28. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from DataExplorator[O, V, Cz, S]

Inherited from CollectionNature[S]

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped