EpsilonProximityMixt

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. final def ==(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

4. final val algorithmID: extensibleAlgorithmNature.EpsilonProximityMixt.type

   

   Definition Classes

   EpsilonProximityMixt → ClusteringAlgorithm

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. def castModel(model: ClusteringModelLocal[MixedVector[Vb, Vs]]): Option[EpsilonProximityModelMixt[Vb, Vs, D]]

   

   Definition Classes

   ClusteringAlgorithmLocal

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

8. final val epsilonChoice: String

   

   Desired value of epsilon

   Desired value of epsilon

   Two option for epsilon choice * eps:value with value a numeric value ie eps:8.8, eps:1 which run the algorithm with the defined epsilon * knn:intValue ie knn:20 which will define epsilon as the mean of the 20 nearest neighbors of every points

   Definition Classes

   EpsilonProximityMixt → EpsilonProximityAncestor

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

   

   Definition Classes

   AnyRef

10. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

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

    

    Definition Classes

    AnyRef → Any

12. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

13. final val metric: D[Vb, Vs]

    

    Metric used in this algorithm

    Metric used in this algorithm

    Definition Classes

    EpsilonProximityMixt → EpsilonProximityAncestor

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

    

    Definition Classes

    AnyRef

15. final def notify(): Unit

    

    Definition Classes

    AnyRef

16. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

17. final def preModel[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz], GS[X] <: GenSeq[X]](data: GS[Cz[O, MixedVector[Vb, Vs]]]): (ArrayBuffer[(Long, (MixedVector[Vb, Vs], Int))], Double)

    
    Attributes

    protected

    Definition Classes

    EpsilonProximityAncestor

18. final def run[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz], GS[X] <: GenSeq[X]](data: GS[Cz[O, MixedVector[Vb, Vs]]]): EpsilonProximityModelMixt[Vb, Vs, D]

    

    Definition Classes

    EpsilonProximityMixt → ClusteringAlgorithmLocal

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

    

    Definition Classes

    AnyRef

20. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )