Class

org.clustering4ever.clustering.rla

RLAModel

Related Doc: package rla

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final case class RLAModel[V <: GVector[V], D[X <: GVector[X]] <: Distance[X]](metric: D[V], epsilon: Double, centers: HashMap[Int, V]) extends RLAModelAncestor[V, D[V]] with KnnModelModel[V, D[V]] with Product with Serializable

Linear Supertypes
Product, Equals, RLAModelAncestor[V, D[V]], MetricArgs[V, D[V]], AlgorithmsArguments, CenterModelLocalCz[V, D[V]], CenterModelCz[V, D[V]], CenterModelLocal[V, D[V]], CenterModel[V, D[V]], KnnModelModelLocalCz[V, D[V]], KnnModelModelCz[V, D[V]], KnnModelModelLocal[V, D[V]], KnnModelModel[V, D[V]], MetricModel[V, D[V]], ClusteringModelLocal[V], ClusteringModel, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. RLAModel
  2. Product
  3. Equals
  4. RLAModelAncestor
  5. MetricArgs
  6. AlgorithmsArguments
  7. CenterModelLocalCz
  8. CenterModelCz
  9. CenterModelLocal
  10. CenterModel
  11. KnnModelModelLocalCz
  12. KnnModelModelCz
  13. KnnModelModelLocal
  14. KnnModelModel
  15. MetricModel
  16. ClusteringModelLocal
  17. ClusteringModel
  18. ClusteringSharedTypes
  19. Serializable
  20. Serializable
  21. AnyRef
  22. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RLAModel(metric: D[V], epsilon: Double, centers: HashMap[Int, V])

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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
    RLAModel → ClusteringModel

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final def centerPredict[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz], GS[X] <: GenSeq[X]](data: GS[Cz[O, V]])(implicit d: DummyImplicit): GS[Cz[O, V]]

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    Definition Classes
    CenterModelLocalCz

  7. 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

  8. final def centerPredict[GS[X] <: GenSeq[X]](data: GS[V]): GS[(ClusterID, V)]

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    Definition Classes
    CenterModelLocal

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

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    Definition Classes
    CenterModel

  10. final val centers: HashMap[Int, V]

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    Definition Classes
    RLAModel → CenterModel

  11. def clone(): AnyRef

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

  12. final val epsilon: Double

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    Definition Classes
    RLAModel → RLAModelAncestor

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

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  16. final def knnPredict[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz], GS[X] <: GenSeq[X]](data: GS[Cz[O, V]], k: Int, trainDS: Seq[Cz[O, V]], clusteringNumber: Int): GS[Cz[O, V]]

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    Definition Classes
    KnnModelModelLocalCz

  17. final def knnPredict[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz]](cz: Cz[O, V], k: Int, trainDS: Seq[Cz[O, V]], clusteringNumber: Int): ClusterID

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    Definition Classes
    KnnModelModelCz

  18. final def knnPredict[GS[X] <: GenSeq[X]](data: GS[V], k: Int, trainDS: Seq[(ClusterID, V)]): GS[(ClusterID, V)]

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    Definition Classes
    KnnModelModelLocal

  19. final def knnPredict(v: V, k: Int, trainDS: Seq[(ClusterID, V)]): ClusterID

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    Definition Classes
    KnnModelModel

  20. final def knnPredictWithNN[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz]](cz: Cz[O, V], k: Int, trainDS: Seq[Cz[O, V]], clusteringNumber: Int): (ClusterID, Seq[Cz[O, V]])

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    Definition Classes
    KnnModelModelCz

  21. final def knnPredictWithNN(v: V, k: Int, trainDS: Seq[(ClusterID, V)]): (ClusterID, Seq[(ClusterID, V)])

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    Definition Classes
    KnnModelModel

  22. final val metric: D[V]

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    Definition Classes
    RLAModel → MetricArgs → MetricModel

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

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    Definition Classes
    AnyRef

  24. final def notify(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  25. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  26. final def obtainClustering[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz], GS[X] <: GenSeq[X]](data: GS[Cz[O, V]]): GS[Cz[O, V]]

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    Attributes
    protected[org.clustering4ever.clustering]
    Definition Classes
    RLAModelAncestor → ClusteringModelLocal

  27. final def obtainClusteringIDs[O, Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz], GS[X] <: GenSeq[X]](data: GS[Cz[O, V]]): GS[ClusterID]

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

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

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  31. 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 RLAModelAncestor[V, D[V]]

Inherited from MetricArgs[V, D[V]]

Inherited from AlgorithmsArguments

Inherited from CenterModelLocalCz[V, D[V]]

Inherited from CenterModelCz[V, D[V]]

Inherited from CenterModelLocal[V, D[V]]

Inherited from CenterModel[V, D[V]]

Inherited from KnnModelModelLocalCz[V, D[V]]

Inherited from KnnModelModelCz[V, D[V]]

Inherited from KnnModelModelLocal[V, D[V]]

Inherited from KnnModelModel[V, D[V]]

Inherited from MetricModel[V, D[V]]

Inherited from ClusteringModelLocal[V]

Inherited from ClusteringModel

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped