Trait

org.clustering4ever.clustering.models

CenterModelDistributedCz

Related Doc: package models

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trait CenterModelDistributedCz[V <: GVector[V], D <: Distance[V]] extends CenterModelDistributed[V, D] with CenterModelCz[V, D]

Linear Supertypes
CenterModelCz[V, D], CenterModelDistributed[V, D], CenterModel[V, D], MetricModel[V, D], ClusteringModel, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. CenterModelDistributedCz
  2. CenterModelCz
  3. CenterModelDistributed
  4. CenterModel
  5. MetricModel
  6. ClusteringModel
  7. ClusteringSharedTypes
  8. Serializable
  9. Serializable
  10. AnyRef
  11. Any
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Type Members

  1. final type ClusterID = Int

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    Definition Classes
    ClusteringSharedTypes

Abstract Value Members

  1. abstract val algorithmID: ClusteringAlgorithmNature

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    Definition Classes
    ClusteringModel
  2. abstract val centers: HashMap[ClusterID, V]

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    Definition Classes
    CenterModel
  3. abstract val metric: D

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    Definition Classes
    MetricModel

Concrete 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 asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. final def centerPredict[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz]](cz: Cz[O, V]): ClusterID

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    Definition Classes
    CenterModelCz
  6. final def centerPredict(data: RDD[V]): RDD[(ClusterID, V)]

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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
  7. final def centerPredict(v: V): ClusterID

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    Definition Classes
    CenterModel
  8. final def centerPredictCz[O, Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz]](data: RDD[Cz[O, V]])(implicit ct: ClassTag[Cz[O, V]]): RDD[Cz[O, V]]

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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

  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  16. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  17. final def notify(): Unit

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    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  19. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  20. def toString(): String

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    Definition Classes
    AnyRef → Any
  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from CenterModelCz[V, D]

Inherited from CenterModelDistributed[V, D]

Inherited from CenterModel[V, D]

Inherited from MetricModel[V, D]

Inherited from ClusteringModel

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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