Trait

org.clustering4ever.clustering.kcenters.dataset

KCentersModelAncestor

Related Doc: package dataset

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trait KCentersModelAncestor[V <: GVector[V], D <: Distance[V]] extends KCentersModelSuperAncestor[V, D] with ClusteringModelDistributedDS[V]

Linear Supertypes
ClusteringModelDistributedDS[V], KCentersModelSuperAncestor[V, D], KCentersModelCommons[V, D], KCommonsArgs[V, D], MetricArgs[V, D], KArgs, MaxIterationsArgs, MinShiftArgs, AlgorithmsArguments, CenterModel[V, D], MetricModel[V, D], ClusteringModel, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
Known Subclasses
KMeansModel
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Inherited
  1. KCentersModelAncestor
  2. ClusteringModelDistributedDS
  3. KCentersModelSuperAncestor
  4. KCentersModelCommons
  5. KCommonsArgs
  6. MetricArgs
  7. KArgs
  8. MaxIterationsArgs
  9. MinShiftArgs
  10. AlgorithmsArguments
  11. CenterModel
  12. MetricModel
  13. ClusteringModel
  14. ClusteringSharedTypes
  15. Serializable
  16. Serializable
  17. AnyRef
  18. Any
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Visibility
  1. Public
  2. All

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 k: Int

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    Definition Classes
    KCentersModelCommons → KCommonsArgs → KArgs

  4. abstract val kryoSerialization: Boolean

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    kryo Serialization if true, java one else

    kryo Serialization if true, java one else

    Definition Classes
    ClusteringModelDistributedDS

  5. abstract val maxIterations: Int

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    Definition Classes
    KCentersModelCommons → MaxIterationsArgs

  6. abstract val metric: D

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    Definition Classes
    MetricArgs

  7. abstract val minShift: Double

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    Definition Classes
    KCentersModelCommons → KCommonsArgs → MinShiftArgs

  8. abstract val persistanceLVL: StorageLevel

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    Definition Classes
    KCentersModelSuperAncestor

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(v: V): ClusterID

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    Definition Classes
    CenterModel

  6. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  9. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  11. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  14. final def notify(): Unit

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    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  16. final def obtainClustering[O, Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz]](data: Dataset[Cz[O, V]])(implicit ct: ClassTag[Cz[O, V]]): Dataset[Cz[O, V]]

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

  17. final def obtainClusteringIDs[O, Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz]](data: Dataset[Cz[O, V]])(implicit ct: ClassTag[Cz[O, V]]): Dataset[ClusterID]

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

  18. final def prototypesDistancePerPoint[O, Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz]](data: Dataset[Cz[O, V]]): Dataset[(Cz[O, V], HashMap[ClusterID, Double])]

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  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 ClusteringModelDistributedDS[V]

Inherited from KCentersModelSuperAncestor[V, D]

Inherited from KCentersModelCommons[V, D]

Inherited from KCommonsArgs[V, D]

Inherited from MetricArgs[V, D]

Inherited from KArgs

Inherited from MaxIterationsArgs

Inherited from MinShiftArgs

Inherited from AlgorithmsArguments

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

Ungrouped