Class/Object

org.clustering4ever.clustering.chaining

ClusteringChainingLocal

Related Docs: object ClusteringChainingLocal | package chaining

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case class ClusteringChainingLocal[O, V <: GVector[V], Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz], Vecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, Vecto], GS[X] <: GenSeq[X]](data: GS[Cz[O, V]], chainableID: Int, currentVectorization: Vecto[O, V], clusteringInformations: HMap[ClusteringInformationsMapping] = ...)(implicit ct: ClassTag[Cz[O, V]]) extends ClusteringChaining[O, V, Cz, Vecto[O, V], GS] with Product with Serializable

This classe intend to run many algorithms parallely on a local system for medium size datasets

O

the raw object from which vectorizations came from

V

the nature of the working vector

Cz

a clusterizable descendant, EasyClusterizable is the basic advise instance

Vecto

the current vectorization which gives the current Vector nature

GS

the nature of the collection containing Cz[O, V]

data

the dataset ideally sorted by Cz's IDs, if not it's done automatically

chainableID

the ID of this chainable class

currentVectorization

the current vectorization employed

clusteringInformations

informations about clustering results

Linear Supertypes
Product, Equals, ClusteringChaining[O, V, Cz, Vecto[O, V], GS], DataExplorator[O, V, Cz, GS], CollectionNature[GS], ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. ClusteringChainingLocal
  2. Product
  3. Equals
  4. ClusteringChaining
  5. DataExplorator
  6. CollectionNature
  7. ClusteringSharedTypes
  8. Serializable
  9. Serializable
  10. AnyRef
  11. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ClusteringChainingLocal(data: GS[Cz[O, V]], chainableID: Int, currentVectorization: Vecto[O, V], clusteringInformations: HMap[ClusteringInformationsMapping] = ...)(implicit ct: ClassTag[Cz[O, V]])

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    data

    the dataset ideally sorted by Cz's IDs, if not it's done automatically

    chainableID

    the ID of this chainable class

    currentVectorization

    the current vectorization employed

    clusteringInformations

    informations about clustering results

Type Members

  1. type ClusterID = Int

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    Definition Classes
    ClusteringSharedTypes

  2. type Self[GV <: GVector[GV], OtherVecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, OtherVecto]] = ClusteringChainingLocal[O, GV, Cz, OtherVecto, GS]

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    ClusteringChainingLocal type with a specific GVector and Vectorization

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. def addVectorization[GV <: GVector[GV], OtherVecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, OtherVecto]](vectorization: OtherVecto[O, GV]): Self[V, Vecto]

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    Add a vectorization in ClusteringChaining object which can be applied latter

  5. def addVectorizationOnData[GV <: GVector[GV], OtherVecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, OtherVecto]](vectorization: OtherVecto[O, GV]): Self[V, Vecto]

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  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. val chainableID: Int

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    the ID of this chainable class

    the ID of this chainable class

    Definition Classes
    ClusteringChainingLocal → ClusteringChaining

  8. def clone(): AnyRef

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

  9. val clusteringInformations: HMap[ClusteringInformationsMapping]

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    informations about clustering results

  10. val clusteringRunNumber: ClusteringRunNumber

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    Definition Classes
    ClusteringChaining

  11. implicit val ct: ClassTag[Cz[O, V]]

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    Definition Classes
    ClusteringChainingLocal → ClusteringChaining

  12. val currentVectorization: Vecto[O, V]

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    the current vectorization employed

    the current vectorization employed

    Definition Classes
    ClusteringChainingLocal → ClusteringChaining

  13. val data: GS[Cz[O, V]]

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    the dataset ideally sorted by Cz's IDs, if not it's done automatically

    the dataset ideally sorted by Cz's IDs, if not it's done automatically

    Definition Classes
    ClusteringChainingLocal → DataExplorator

  14. val dataSortedByID: GS[Cz[O, V]]

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

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    Definition Classes
    AnyRef

  16. def finalize(): Unit

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

  17. def fusionChainable(ccl: Self[V, Vecto]): Self[V, Vecto]

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    Attributes
    protected[org.clustering4ever.clustering.chaining]

  18. val fusionChainableSecurity: Int

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    Attributes
    protected[org.clustering4ever.clustering.chaining]
    Definition Classes
    ClusteringChainingLocal → ClusteringChaining

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

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    Definition Classes
    AnyRef → Any

  20. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  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

  23. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  24. def runAlgorithm(algorithm: ClusteringAlgorithmLocal[V, _ <: ClusteringModelLocal[V]]): Self[V, Vecto]

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    Run one algorithm defined by user

  25. def runAlgorithms(algorithms: ClusteringAlgorithmLocal[V, _ <: ClusteringModelLocal[V]]*): Self[V, Vecto]

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    Run multiples algorithms defined by user

  26. def runAlgorithmsOnMultipleVectorizationsOfSameNature[OtherVecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, OtherVecto]](vectorizations: Seq[OtherVecto[O, V]], algorithms: ClusteringAlgorithmLocal[V, _ <: ClusteringModelLocal[V]]*): Self[V, OtherVecto]

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  27. def switchForExistingVectorization[GV <: GVector[GV], OtherVecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, OtherVecto]](vectorization: OtherVecto[O, GV])(implicit ct: ClassTag[Cz[O, GV]]): Self[GV, OtherVecto]

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    Update the current working vector for another existing vector in clusterizable vectorized field

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

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    Definition Classes
    AnyRef

  29. def updateVectorization[GV <: GVector[GV], OtherVecto[A, B <: GVector[B]] <: VectorizationLocal[A, B, OtherVecto]](vectorization: OtherVecto[O, GV])(implicit ct: ClassTag[Cz[O, GV]]): Self[GV, OtherVecto]

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    Update working vector with given vectorization without saving neither previous working vector and new vector in clusterizable vectorized field to prevent clusterizable to becomes heavier and then slowing down clustering algorithms

  30. val vectorizations: HMap[VectorizationMapping]

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    HMap which contains vectorization by vectorizationID

    HMap which contains vectorization by vectorizationID

    Definition Classes
    ClusteringChainingLocal → ClusteringChaining

  31. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from ClusteringChaining[O, V, Cz, Vecto[O, V], GS]

Inherited from DataExplorator[O, V, Cz, GS]

Inherited from CollectionNature[GS]

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped