Class

org.clustering4ever.clustering.rla

RLAMixed

Related Doc: package rla

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case class RLAMixed[Vb <: Seq[Int], Vs <: Seq[Double], D[X <: Seq[Int], Y <: Seq[Double]] <: MixedDistance[X, Y]](metric: D[Vb, Vs], epsilon: Double) extends RLAAncestor[MixedVector[Vb, Vs], D[Vb, Vs], RLAModelMixed[Vb, Vs, D]] with Product with Serializable

Linear Supertypes
Product, Equals, RLAAncestor[MixedVector[Vb, Vs], D[Vb, Vs], RLAModelMixed[Vb, Vs, D]], ClusteringAlgorithmLocal[MixedVector[Vb, Vs], RLAModelMixed[Vb, Vs, D]], ClusteringAlgorithm, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. RLAMixed
  2. Product
  3. Equals
  4. RLAAncestor
  5. ClusteringAlgorithmLocal
  6. ClusteringAlgorithm
  7. ClusteringSharedTypes
  8. Serializable
  9. Serializable
  10. AnyRef
  11. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RLAMixed(metric: D[Vb, Vs], epsilon: Double)

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Type Members

  1. 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
    RLAMixed → ClusteringAlgorithm

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def castModel(model: ClusteringModelLocal[MixedVector[Vb, Vs]]): Option[RLAModelMixed[Vb, Vs, 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
    RLAMixed → 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[Vb, Vs]

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    Definition Classes
    RLAMixed → 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, MixedVector[Vb, Vs]]]): HashMap[Int, MixedVector[Vb, Vs]]

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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, MixedVector[Vb, Vs]]]): RLAModelMixed[Vb, Vs, D]

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    Definition Classes
    RLAMixed → 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[MixedVector[Vb, Vs], D[Vb, Vs], RLAModelMixed[Vb, Vs, D]]

Inherited from ClusteringAlgorithmLocal[MixedVector[Vb, Vs], RLAModelMixed[Vb, Vs, D]]

Inherited from ClusteringAlgorithm

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped