Trait

org.clustering4ever.clustering.rla

RLAModelAncestor

Related Doc: package rla

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trait RLAModelAncestor[V <: GVector[V], D <: Distance[V]] extends ClusteringModelLocal[V] with KnnModelModelLocalCz[V, D] with CenterModelLocalCz[V, D]

Linear Supertypes
CenterModelLocalCz[V, D], CenterModelCz[V, D], CenterModelLocal[V, D], CenterModel[V, D], KnnModelModelLocalCz[V, D], KnnModelModelCz[V, D], KnnModelModelLocal[V, D], KnnModelModel[V, D], MetricModel[V, D], ClusteringModelLocal[V], ClusteringModel, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
Known Subclasses
RLAModel, RLAModelBinary, RLAModelMixed, RLAModelScalar
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. RLAModelAncestor
  2. CenterModelLocalCz
  3. CenterModelCz
  4. CenterModelLocal
  5. CenterModel
  6. KnnModelModelLocalCz
  7. KnnModelModelCz
  8. KnnModelModelLocal
  9. KnnModelModel
  10. MetricModel
  11. ClusteringModelLocal
  12. ClusteringModel
  13. ClusteringSharedTypes
  14. Serializable
  15. Serializable
  16. AnyRef
  17. Any
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Visibility
  1. Public
  2. All

Type Members

  1. final type ClusterID = Int

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    Definition Classes
    ClusteringSharedTypes

Abstract Value Members

  1. abstract val algorithmID: ClusteringAlgorithmNature

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    Definition Classes
    ClusteringModel

  2. abstract val centers: HashMap[ClusterID, V]

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    Definition Classes
    CenterModel

  3. abstract val epsilon: Double

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  4. abstract val metric: D

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    Definition Classes
    MetricModel

Concrete 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 def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. 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

  6. 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

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

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    Definition Classes
    CenterModelLocal

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

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    Definition Classes
    CenterModel

  9. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  12. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  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 def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  23. final def notify(): Unit

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    Definition Classes
    AnyRef

  24. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  25. 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

  26. 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

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

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    Definition Classes
    AnyRef

  28. def toString(): String

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    Definition Classes
    AnyRef → Any

  29. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from CenterModelLocalCz[V, D]

Inherited from CenterModelCz[V, D]

Inherited from CenterModelLocal[V, D]

Inherited from CenterModel[V, D]

Inherited from KnnModelModelLocalCz[V, D]

Inherited from KnnModelModelCz[V, D]

Inherited from KnnModelModelLocal[V, D]

Inherited from KnnModelModel[V, D]

Inherited from MetricModel[V, D]

Inherited from ClusteringModelLocal[V]

Inherited from ClusteringModel

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped