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] with MetricArgs[V, D]

Linear Supertypes
MetricArgs[V, D], AlgorithmsArguments, 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. MetricArgs
  3. AlgorithmsArguments
  4. CenterModelLocalCz
  5. CenterModelCz
  6. CenterModelLocal
  7. CenterModel
  8. KnnModelModelLocalCz
  9. KnnModelModelCz
  10. KnnModelModelLocal
  11. KnnModelModel
  12. MetricModel
  13. ClusteringModelLocal
  14. ClusteringModel
  15. ClusteringSharedTypes
  16. Serializable
  17. Serializable
  18. AnyRef
  19. 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
    MetricArgs

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
    @HotSpotIntrinsicCandidate() @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. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  13. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  15. 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

  16. 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

  17. 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

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

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    Definition Classes
    KnnModelModel

  19. 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

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

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    Definition Classes
    KnnModelModel

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

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    Definition Classes
    AnyRef

  22. final def notify(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  23. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  24. 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

  25. 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

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

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    Definition Classes
    AnyRef

  27. def toString(): String

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  30. 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 MetricArgs[V, D]

Inherited from AlgorithmsArguments

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