Class

org.clustering4ever.clustering.kcenters.scala

KCentersModel

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final case class KCentersModel[V <: GVector[V], D[X <: GVector[X]] <: Distance[X]](k: Int, metric: D[V], minShift: Double, maxIterations: Int, centers: HashMap[Int, V] = immutable.HashMap.empty[Int, V]) extends KCentersModelAncestor[V, D[V]] with KnnModelModel[V, D[V]] with Product with Serializable

Generic KCenters model

Linear Supertypes
Product, Equals, KnnModelModel[V, D[V]], KCentersModelAncestor[V, D[V]], CenterModelLocalCz[V, D[V]], CenterModelCz[V, D[V]], CenterModelLocal[V, D[V]], ClusteringModelLocal[V], KCentersModelCommons[V, D[V]], KCommonsArgs[V, D[V]], MetricArgs[V, D[V]], KArgs, MaxIterationsArgs, MinShiftArgs, AlgorithmsArguments, CenterModel[V, D[V]], MetricModel[V, D[V]], ClusteringModel, ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. KCentersModel
  2. Product
  3. Equals
  4. KnnModelModel
  5. KCentersModelAncestor
  6. CenterModelLocalCz
  7. CenterModelCz
  8. CenterModelLocal
  9. ClusteringModelLocal
  10. KCentersModelCommons
  11. KCommonsArgs
  12. MetricArgs
  13. KArgs
  14. MaxIterationsArgs
  15. MinShiftArgs
  16. AlgorithmsArguments
  17. CenterModel
  18. MetricModel
  19. ClusteringModel
  20. ClusteringSharedTypes
  21. Serializable
  22. Serializable
  23. AnyRef
  24. Any
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Visibility
  1. Public
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Instance Constructors

  1. new KCentersModel(k: Int, metric: D[V], minShift: Double, maxIterations: Int, centers: HashMap[Int, V] = immutable.HashMap.empty[Int, V])

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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.KCenters.type

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    Definition Classes
    KCentersModel → ClusteringModel

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. 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

  7. 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

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

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    Definition Classes
    CenterModelLocal

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

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    Definition Classes
    CenterModel

  10. final val centers: HashMap[Int, V]

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    Definition Classes
    KCentersModel → CenterModel

  11. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

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

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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 val k: Int

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    The number of initial seeked clusters, the real number of cluster can be smaller, cf centers.size

    The number of initial seeked clusters, the real number of cluster can be smaller, cf centers.size

    Definition Classes
    KCentersModel → KCentersModelCommons → KCommonsArgs → KArgs

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

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    Definition Classes
    KnnModelModel

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

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    Definition Classes
    KnnModelModel

  18. final val maxIterations: Int

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    The maximum number of authorized iterations

    The maximum number of authorized iterations

    Definition Classes
    KCentersModel → KCentersModelCommons → MaxIterationsArgs

  19. final val metric: D[V]

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    Definition Classes
    KCentersModel → MetricArgs → MetricModel

  20. final val minShift: Double

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    The stopping threshold for iterations

    The stopping threshold for iterations

    Definition Classes
    KCentersModel → KCentersModelCommons → KCommonsArgs → MinShiftArgs

  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[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, 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
    KCentersModelAncestor → 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 prototypesDistancePerPoint[O, Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz], GS[X] <: GenSeq[X]](data: GS[Cz[O, V]]): GS[(Cz[O, V], HashMap[ClusterID, Double])]

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    Compute the distance between every points and all centers

    Compute the distance between every points and all centers

    Definition Classes
    KCentersModelAncestor

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

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    Definition Classes
    AnyRef

  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 Product

Inherited from Equals

Inherited from KnnModelModel[V, D[V]]

Inherited from KCentersModelAncestor[V, D[V]]

Inherited from CenterModelLocalCz[V, D[V]]

Inherited from CenterModelCz[V, D[V]]

Inherited from CenterModelLocal[V, D[V]]

Inherited from ClusteringModelLocal[V]

Inherited from KCentersModelCommons[V, D[V]]

Inherited from KCommonsArgs[V, D[V]]

Inherited from MetricArgs[V, D[V]]

Inherited from KArgs

Inherited from MaxIterationsArgs

Inherited from MinShiftArgs

Inherited from AlgorithmsArguments

Inherited from CenterModel[V, D[V]]

Inherited from MetricModel[V, D[V]]

Inherited from ClusteringModel

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped