Class

org.clustering4ever.clustering.rla

RLA

Related Doc: package rla

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final case class RLA[V <: GVector[V], D[X <: GVector[X]] <: Distance[X]](metric: D[V], epsilon: Double) extends RLAAncestor[V, D[V], RLAModel[V, D]] with Product with Serializable

Linear Supertypes
Product, Equals, RLAAncestor[V, D[V], RLAModel[V, D]], MetricArgs[V, D[V]], AlgorithmsArguments, ClusteringAlgorithmLocal[V, RLAModel[V, D]], ClusteringAlgorithm, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. RLA
  2. Product
  3. Equals
  4. RLAAncestor
  5. MetricArgs
  6. AlgorithmsArguments
  7. ClusteringAlgorithmLocal
  8. ClusteringAlgorithm
  9. ClusteringSharedTypes
  10. Serializable
  11. Serializable
  12. AnyRef
  13. Any
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Visibility
  1. Public
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Instance Constructors

  1. new RLA(metric: D[V], epsilon: Double)

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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.RLA.type

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    Definition Classes
    RLA → ClusteringAlgorithm

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final def castModel(model: ClusteringModelLocal[V]): Option[RLAModel[V, D]]

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    Definition Classes
    ClusteringAlgorithmLocal

  7. def clone(): AnyRef

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

  8. val epsilon: Double

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    The radius explored around selected medoid

    The radius explored around selected medoid

    Definition Classes
    RLA → RLAAncestor

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

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    Definition Classes
    AnyRef

  10. final def fit[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz], GS[X] <: GenSeq[X]](data: GS[Cz[O, V]]): RLAModel[V, D]

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    Definition Classes
    RLA → ClusteringAlgorithmLocal

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

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    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  13. val metric: D[V]

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    Definition Classes
    RLA → MetricArgs

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

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  17. final def obtainCenters[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz], GS[X] <: GenSeq[X]](data: GS[Cz[O, V]]): HashMap[Int, V]

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    Attributes
    protected
    Definition Classes
    RLAAncestor

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

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit

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

    (Since version ) see corresponding Javadoc for more information.

Inherited from Product

Inherited from Equals

Inherited from RLAAncestor[V, D[V], RLAModel[V, D]]

Inherited from MetricArgs[V, D[V]]

Inherited from AlgorithmsArguments

Inherited from ClusteringAlgorithmLocal[V, RLAModel[V, D]]

Inherited from ClusteringAlgorithm

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped