Class

org.clustering4ever.clustering.rla

RLAModelBinary

Related Doc: package rla

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final case class RLAModelBinary[D <: BinaryDistance](metric: D, epsilon: Double, centers: HashMap[Int, BinaryVector]) extends ClusteringModelLocalBinary with RLAModelAncestor[BinaryVector, D] with CenterModelLocalBinary[D] with KnnModelModelBinary[D] with Product with Serializable

Linear Supertypes
Product, Equals, KnnModelModelBinary[D], KnnModelSimpleV[Int, BinaryVector, D], CenterModelLocalBinary[D], CenterModelSimpleVLocal[Int, BinaryVector, D], CenterModelSimpleV[Int, BinaryVector, D], RLAModelAncestor[BinaryVector, D], MetricArgs[BinaryVector, D], AlgorithmsArguments, CenterModelLocalCz[BinaryVector, D], CenterModelCz[BinaryVector, D], CenterModelLocal[BinaryVector, D], CenterModel[BinaryVector, D], KnnModelModelLocalCz[BinaryVector, D], KnnModelModelCz[BinaryVector, D], KnnModelModelLocal[BinaryVector, D], KnnModelModel[BinaryVector, D], MetricModel[BinaryVector, D], ClusteringModelLocalBinary, ClusteringModelLocal[BinaryVector], ClusteringModel, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. RLAModelBinary
  2. Product
  3. Equals
  4. KnnModelModelBinary
  5. KnnModelSimpleV
  6. CenterModelLocalBinary
  7. CenterModelSimpleVLocal
  8. CenterModelSimpleV
  9. RLAModelAncestor
  10. MetricArgs
  11. AlgorithmsArguments
  12. CenterModelLocalCz
  13. CenterModelCz
  14. CenterModelLocal
  15. CenterModel
  16. KnnModelModelLocalCz
  17. KnnModelModelCz
  18. KnnModelModelLocal
  19. KnnModelModel
  20. MetricModel
  21. ClusteringModelLocalBinary
  22. ClusteringModelLocal
  23. ClusteringModel
  24. ClusteringSharedTypes
  25. Serializable
  26. Serializable
  27. AnyRef
  28. Any
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Visibility
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Instance Constructors

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

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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.RLABinary.type

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    Definition Classes
    RLAModelBinary → ClusteringModel

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

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

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    Definition Classes
    CenterModelSimpleVLocal

  7. final def centerPredict(v: Array[Int]): 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, BinaryVector]])(implicit d: DummyImplicit): GS[Cz[O, BinaryVector]]

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    Definition Classes
    CenterModelLocalCz

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

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    Definition Classes
    CenterModelCz

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

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    Definition Classes
    CenterModelLocal

  11. final def centerPredict(v: BinaryVector): ClusterID

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    Definition Classes
    CenterModel

  12. final val centers: HashMap[Int, BinaryVector]

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    Definition Classes
    RLAModelBinary → CenterModel

  13. def clone(): AnyRef

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

  14. final val epsilon: Double

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    Definition Classes
    RLAModelBinary → RLAModelAncestor

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

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  17. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    KnnModelSimpleV

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

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    Definition Classes
    KnnModelModelLocalCz

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

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    Definition Classes
    KnnModelModelCz

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

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    Definition Classes
    KnnModelModelLocal

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

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    Definition Classes
    KnnModelModel

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

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    Definition Classes
    KnnModelSimpleV

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

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    Definition Classes
    KnnModelModelCz

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

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    Definition Classes
    KnnModelModel

  26. final val metric: D

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    Definition Classes
    RLAModelBinary → MetricArgs → 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
    Annotations
    @HotSpotIntrinsicCandidate()

  29. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

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

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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, BinaryVector]]): 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(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  35. 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 KnnModelModelBinary[D]

Inherited from KnnModelSimpleV[Int, BinaryVector, D]

Inherited from CenterModelLocalBinary[D]

Inherited from CenterModelSimpleVLocal[Int, BinaryVector, D]

Inherited from CenterModelSimpleV[Int, BinaryVector, D]

Inherited from RLAModelAncestor[BinaryVector, D]

Inherited from MetricArgs[BinaryVector, D]

Inherited from AlgorithmsArguments

Inherited from CenterModelLocalCz[BinaryVector, D]

Inherited from CenterModelCz[BinaryVector, D]

Inherited from CenterModelLocal[BinaryVector, D]

Inherited from CenterModel[BinaryVector, D]

Inherited from KnnModelModelLocalCz[BinaryVector, D]

Inherited from KnnModelModelCz[BinaryVector, D]

Inherited from KnnModelModelLocal[BinaryVector, D]

Inherited from KnnModelModel[BinaryVector, D]

Inherited from MetricModel[BinaryVector, D]

Inherited from ClusteringModelLocalBinary

Inherited from ClusteringModelLocal[BinaryVector]

Inherited from ClusteringModel

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped