Class/Object

org.clustering4ever.clustering.rla

RLAScalar

Related Docs: object RLAScalar | package rla

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case class RLAScalar[V <: Seq[Double], D[X <: Seq[Double]] <: ContinuousDistance[X]](metric: D[V], epsilon: Double) extends ClusteringAlgorithmLocalScalar[V, RLAModelScalar[V, D]] with RLAAncestor[ScalarVector[V], D[V], RLAModelScalar[V, D]] with Product with Serializable

Linear Supertypes
Product, Equals, RLAAncestor[ScalarVector[V], D[V], RLAModelScalar[V, D]], ClusteringAlgorithmLocalScalar[V, RLAModelScalar[V, D]], ClusteringAlgorithmLocal[ScalarVector[V], RLAModelScalar[V, D]], ClusteringAlgorithm, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. RLAScalar
  2. Product
  3. Equals
  4. RLAAncestor
  5. ClusteringAlgorithmLocalScalar
  6. ClusteringAlgorithmLocal
  7. ClusteringAlgorithm
  8. ClusteringSharedTypes
  9. Serializable
  10. Serializable
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RLAScalar(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.RLAScalar.type

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    Definition Classes
    RLAScalar → ClusteringAlgorithm

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final def castModel(model: ClusteringModelLocal[ScalarVector[V]]): Option[RLAModelScalar[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
    @throws( ... )

  8. val epsilon: Double

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    Definition Classes
    RLAScalar → RLAAncestor

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

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    Definition Classes
    AnyRef

  10. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  13. val metric: D[V]

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    Definition Classes
    RLAScalar → RLAAncestor

  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

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Attributes
    protected
    Definition Classes
    RLAAncestor

  18. def run[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz], GS[X] <: GenSeq[X]](data: GS[Cz[O, ScalarVector[V]]]): RLAModelScalar[V, D]

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    Definition Classes
    RLAScalar → ClusteringAlgorithmLocal

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

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    Definition Classes
    AnyRef

  20. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from RLAAncestor[ScalarVector[V], D[V], RLAModelScalar[V, D]]

Inherited from ClusteringAlgorithmLocalScalar[V, RLAModelScalar[V, D]]

Inherited from ClusteringAlgorithmLocal[ScalarVector[V], RLAModelScalar[V, D]]

Inherited from ClusteringAlgorithm

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped