Class

org.clustering4ever.clustering.kcenters.rdd

KPrototypesModels

Related Doc: package rdd

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final case class KPrototypesModels[D <: MixedDistance](k: Int, metric: D, minShift: Double, maxIterations: Int, persistanceLVL: StorageLevel = StorageLevel.MEMORY_ONLY, centers: HashMap[Int, MixedVector] = ...) extends KCentersModelAncestor[MixedVector, D] with Product with Serializable

Linear Supertypes
Product, Equals, KCentersModelAncestor[MixedVector, D], CenterModelDistributedCz[MixedVector, D], CenterModelCz[MixedVector, D], CenterModelDistributed[MixedVector, D], ClusteringModelDistributed[MixedVector], KCentersModelSuperAncestor[MixedVector, D], KCentersModelCommons[MixedVector, D], KCommonsArgs[MixedVector, D], MetricArgs[MixedVector, D], KArgs, MaxIterationsArgs, MinShiftArgs, AlgorithmsArguments, CenterModel[MixedVector, D], MetricModel[MixedVector, D], ClusteringModel, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. KPrototypesModels
  2. Product
  3. Equals
  4. KCentersModelAncestor
  5. CenterModelDistributedCz
  6. CenterModelCz
  7. CenterModelDistributed
  8. ClusteringModelDistributed
  9. KCentersModelSuperAncestor
  10. KCentersModelCommons
  11. KCommonsArgs
  12. MetricArgs
  13. KArgs
  14. MaxIterationsArgs
  15. MinShiftArgs
  16. AlgorithmsArguments
  17. CenterModel
  18. MetricModel
  19. ClusteringModel
  20. ClusteringSharedTypes
  21. Serializable
  22. Serializable
  23. AnyRef
  24. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new KPrototypesModels(k: Int, metric: D, minShift: Double, maxIterations: Int, persistanceLVL: StorageLevel = StorageLevel.MEMORY_ONLY, centers: HashMap[Int, MixedVector] = ...)

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Type Members

  1. final type ClusterID = Int

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    Definition Classes
    ClusteringSharedTypes

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 val algorithmID: extensibleAlgorithmNature.KPrototypes.type

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    Definition Classes
    KPrototypesModels → ClusteringModel

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final def centerPredict[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz]](cz: Cz[O, MixedVector]): ClusterID

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    Definition Classes
    CenterModelCz

  7. final def centerPredict(data: RDD[MixedVector]): RDD[(ClusterID, MixedVector)]

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    Time complexity O(ndata.c) with c the number of clusters

    Time complexity O(ndata.c) with c the number of clusters

    returns

    the input Seq with labels obtain via centerPredict method

    Definition Classes
    CenterModelDistributed

  8. final def centerPredict(v: MixedVector): ClusterID

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    Definition Classes
    CenterModel

  9. final def centerPredictCz[O, Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz]](data: RDD[Cz[O, MixedVector]])(implicit ct: ClassTag[Cz[O, MixedVector]]): RDD[Cz[O, MixedVector]]

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    Time complexity O(ndata.c) with c the number of clusters

    Time complexity O(ndata.c) with c the number of clusters

    returns

    the input Seq with labels obtain via centerPredict method

    Definition Classes
    CenterModelDistributedCz

  10. final val centers: HashMap[Int, MixedVector]

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    Definition Classes
    KPrototypesModels → CenterModel

  11. def clone(): AnyRef

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

  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. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  16. final val k: Int

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    Definition Classes
    KPrototypesModels → KCentersModelCommons → KCommonsArgs → KArgs

  17. final val maxIterations: Int

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    Definition Classes
    KPrototypesModels → KCentersModelCommons → MaxIterationsArgs

  18. final val metric: D

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    Definition Classes
    KPrototypesModels → MetricArgs → MetricModel

  19. final val minShift: Double

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    Definition Classes
    KPrototypesModels → KCentersModelCommons → KCommonsArgs → MinShiftArgs

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

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    Definition Classes
    AnyRef

  21. final def notify(): Unit

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    Definition Classes
    AnyRef

  22. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  23. final def obtainClustering[O, Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz]](data: RDD[Cz[O, MixedVector]])(implicit ct: ClassTag[Cz[O, MixedVector]]): RDD[Cz[O, MixedVector]]

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    Attributes
    protected[org.clustering4ever.clustering]
    Definition Classes
    KCentersModelAncestor → ClusteringModelDistributed

  24. final def obtainClusteringIDs[O, Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz]](data: RDD[Cz[O, MixedVector]])(implicit ct: ClassTag[Cz[O, MixedVector]]): RDD[ClusterID]

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    returns

    a RDD of clusterIDs

    Attributes
    protected[org.clustering4ever.clustering]
    Definition Classes
    ClusteringModelDistributed

  25. final val persistanceLVL: StorageLevel

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    Definition Classes
    KPrototypesModels → KCentersModelSuperAncestor

  26. final def prototypesDistancePerPoint[O, Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz]](data: RDD[Cz[O, MixedVector]]): RDD[(Cz[O, MixedVector], HashMap[ClusterID, Double])]

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    Definition Classes
    KCentersModelAncestor

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

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    Definition Classes
    AnyRef

  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 KCentersModelAncestor[MixedVector, D]

Inherited from CenterModelDistributedCz[MixedVector, D]

Inherited from CenterModelCz[MixedVector, D]

Inherited from CenterModelDistributed[MixedVector, D]

Inherited from ClusteringModelDistributed[MixedVector]

Inherited from KCentersModelSuperAncestor[MixedVector, D]

Inherited from KCentersModelCommons[MixedVector, D]

Inherited from KCommonsArgs[MixedVector, D]

Inherited from MetricArgs[MixedVector, D]

Inherited from KArgs

Inherited from MaxIterationsArgs

Inherited from MinShiftArgs

Inherited from AlgorithmsArguments

Inherited from CenterModel[MixedVector, D]

Inherited from MetricModel[MixedVector, D]

Inherited from ClusteringModel

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped