Class

org.clustering4ever.clustering.rla

RLAModelScalar

Related Doc: package rla

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case class RLAModelScalar[V <: Seq[Double], D[X <: Seq[Double]] <: ContinuousDistance[X]](metric: D[V], epsilon: Double, centers: HashMap[Int, ScalarVector[V]]) extends ClusteringModelLocalScalar[V] with RLAModelAncestor[ScalarVector[V], D[V]] with CenterModelLocalReal[V, D[V]] with KnnModelModelReal[V, D[V]] with Product with Serializable

Linear Supertypes
Product, Equals, KnnModelModelReal[V, D[V]], KnnModelSimpleV[Double, V, ScalarVector[V], D[V]], CenterModelLocalReal[V, D[V]], CenterModelSimpleVLocal[Double, V, ScalarVector[V], D[V]], CenterModelSimpleV[Double, V, ScalarVector[V], D[V]], RLAModelAncestor[ScalarVector[V], D[V]], CenterModelLocalCz[ScalarVector[V], D[V]], CenterModelCz[ScalarVector[V], D[V]], CenterModelLocal[ScalarVector[V], D[V]], CenterModel[ScalarVector[V], D[V]], KnnModelModelLocalCz[ScalarVector[V], D[V]], KnnModelModelCz[ScalarVector[V], D[V]], KnnModelModelLocal[ScalarVector[V], D[V]], KnnModelModel[ScalarVector[V], D[V]], MetricModel[ScalarVector[V], D[V]], ClusteringModelLocalScalar[V], ClusteringModelLocal[ScalarVector[V]], ClusteringModel, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. RLAModelScalar
  2. Product
  3. Equals
  4. KnnModelModelReal
  5. KnnModelSimpleV
  6. CenterModelLocalReal
  7. CenterModelSimpleVLocal
  8. CenterModelSimpleV
  9. RLAModelAncestor
  10. CenterModelLocalCz
  11. CenterModelCz
  12. CenterModelLocal
  13. CenterModel
  14. KnnModelModelLocalCz
  15. KnnModelModelCz
  16. KnnModelModelLocal
  17. KnnModelModel
  18. MetricModel
  19. ClusteringModelLocalScalar
  20. ClusteringModelLocal
  21. ClusteringModel
  22. ClusteringSharedTypes
  23. Serializable
  24. Serializable
  25. AnyRef
  26. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

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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.RLAScalar.type

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    Definition Classes
    RLAModelScalar → ClusteringModel

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final def centerPredict[GS[X] <: GenSeq[X]](data: GS[V])(implicit d1: DummyImplicit, d2: DummyImplicit): GS[(ClusterID, V)]

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    Definition Classes
    CenterModelSimpleVLocal

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

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    Definition Classes
    CenterModelSimpleV

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

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    Definition Classes
    CenterModelLocalCz

  9. final def centerPredict[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz]](cz: Cz[O, ScalarVector[V]]): ClusterID

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    Definition Classes
    CenterModelCz

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

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    Definition Classes
    CenterModelLocal

  11. def centerPredict(v: ScalarVector[V]): ClusterID

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    Definition Classes
    CenterModel

  12. val centers: HashMap[Int, ScalarVector[V]]

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    Definition Classes
    RLAModelScalar → CenterModel

  13. def clone(): AnyRef

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

  14. val epsilon: Double

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    Definition Classes
    RLAModelScalar → RLAModelAncestor

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

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    Definition Classes
    AnyRef

  16. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    KnnModelSimpleV

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

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    Definition Classes
    KnnModelModelLocalCz

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

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    Definition Classes
    KnnModelModelCz

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

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    Definition Classes
    KnnModelModelLocal

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

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    Definition Classes
    KnnModelModel

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

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    Definition Classes
    KnnModelModelCz

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

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    Definition Classes
    KnnModelModel

  26. val metric: D[V]

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    Definition Classes
    RLAModelScalar → MetricModel

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

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    Definition Classes
    AnyRef

  28. final def notify(): Unit

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    Definition Classes
    AnyRef

  29. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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

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

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

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

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    Definition Classes
    AnyRef

  33. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from KnnModelModelReal[V, D[V]]

Inherited from KnnModelSimpleV[Double, V, ScalarVector[V], D[V]]

Inherited from CenterModelLocalReal[V, D[V]]

Inherited from CenterModelSimpleVLocal[Double, V, ScalarVector[V], D[V]]

Inherited from CenterModelSimpleV[Double, V, ScalarVector[V], D[V]]

Inherited from RLAModelAncestor[ScalarVector[V], D[V]]

Inherited from CenterModelLocalCz[ScalarVector[V], D[V]]

Inherited from CenterModelCz[ScalarVector[V], D[V]]

Inherited from CenterModelLocal[ScalarVector[V], D[V]]

Inherited from CenterModel[ScalarVector[V], D[V]]

Inherited from KnnModelModelLocalCz[ScalarVector[V], D[V]]

Inherited from KnnModelModelCz[ScalarVector[V], D[V]]

Inherited from KnnModelModelLocal[ScalarVector[V], D[V]]

Inherited from KnnModelModel[ScalarVector[V], D[V]]

Inherited from MetricModel[ScalarVector[V], D[V]]

Inherited from ClusteringModelLocalScalar[V]

Inherited from ClusteringModelLocal[ScalarVector[V]]

Inherited from ClusteringModel

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped