Class

org.clustering4ever.clustering.rla

RLAModelMixed

Related Doc: package rla

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case class RLAModelMixed[Vb <: Seq[Int], Vs <: Seq[Double], D[X <: Seq[Int], Y <: Seq[Double]] <: MixedDistance[X, Y]](metric: D[Vb, Vs], epsilon: Double, centers: HashMap[Int, MixedVector[Vb, Vs]]) extends RLAModelAncestor[MixedVector[Vb, Vs], D[Vb, Vs]] with CenterModelMixedLocal[Vb, Vs, D[Vb, Vs]] with KnnModelModelMixed[Vb, Vs, D[Vb, Vs]] with Product with Serializable

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

Instance Constructors

  1. new RLAModelMixed(metric: D[Vb, Vs], epsilon: Double, centers: HashMap[Int, MixedVector[Vb, Vs]])

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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: RLAMixt.type

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    Definition Classes
    RLAModelMixed → ClusteringModel

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

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

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    Definition Classes
    CenterModelMixedLocal

  7. final def centerPredict(v: (Vb, Vs)): ClusterID

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    Definition Classes
    CenterModelMixed

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

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    Definition Classes
    CenterModelLocalCz

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

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    Definition Classes
    CenterModelCz

  10. final def centerPredict[GS[X] <: GenSeq[X]](data: GS[MixedVector[Vb, Vs]]): GS[(ClusterID, MixedVector[Vb, Vs])]

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    Definition Classes
    CenterModelLocal

  11. def centerPredict(v: MixedVector[Vb, Vs]): ClusterID

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    Definition Classes
    CenterModel

  12. val centers: HashMap[Int, MixedVector[Vb, Vs]]

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    Definition Classes
    RLAModelMixed → 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
    RLAModelMixed → 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. final def knnPredict(v: (Vb, Vs), k: Int, trainDS: Seq[(ClusterID, (Vb, Vs))]): ClusterID

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    Definition Classes
    KnnModelModelMixed

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

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    Definition Classes
    KnnModelModelLocalCz

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

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    Definition Classes
    KnnModelModelCz

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

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    Definition Classes
    KnnModelModelLocal

  23. def knnPredict(v: MixedVector[Vb, Vs], k: Int, trainDS: Seq[(ClusterID, MixedVector[Vb, Vs])]): 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, MixedVector[Vb, Vs]], k: Int, trainDS: Seq[Cz[O, MixedVector[Vb, Vs]]], clusteringNumber: Int): (ClusterID, Seq[Cz[O, MixedVector[Vb, Vs]]])

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    Definition Classes
    KnnModelModelCz

  25. def knnPredictWithNN(v: MixedVector[Vb, Vs], k: Int, trainDS: Seq[(ClusterID, MixedVector[Vb, Vs])]): (ClusterID, Seq[(ClusterID, MixedVector[Vb, Vs])])

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    Definition Classes
    KnnModelModel

  26. val metric: D[Vb, Vs]

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    Definition Classes
    RLAModelMixed → 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, MixedVector[Vb, Vs]]]): GS[Cz[O, MixedVector[Vb, Vs]]]

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

Inherited from CenterModelMixedLocal[Vb, Vs, D[Vb, Vs]]

Inherited from CenterModelMixed[Vb, Vs, D[Vb, Vs]]

Inherited from RLAModelAncestor[MixedVector[Vb, Vs], D[Vb, Vs]]

Inherited from CenterModelLocalCz[MixedVector[Vb, Vs], D[Vb, Vs]]

Inherited from CenterModelCz[MixedVector[Vb, Vs], D[Vb, Vs]]

Inherited from CenterModelLocal[MixedVector[Vb, Vs], D[Vb, Vs]]

Inherited from CenterModel[MixedVector[Vb, Vs], D[Vb, Vs]]

Inherited from KnnModelModelLocalCz[MixedVector[Vb, Vs], D[Vb, Vs]]

Inherited from KnnModelModelCz[MixedVector[Vb, Vs], D[Vb, Vs]]

Inherited from KnnModelModelLocal[MixedVector[Vb, Vs], D[Vb, Vs]]

Inherited from KnnModelModel[MixedVector[Vb, Vs], D[Vb, Vs]]

Inherited from MetricModel[MixedVector[Vb, Vs], D[Vb, Vs]]

Inherited from ClusteringModelLocal[MixedVector[Vb, Vs]]

Inherited from ClusteringModel

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped