Class

org.clustering4ever.clustering.indices

InternalIndicesScalarLocal

Related Doc: package indices

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final case class InternalIndicesScalarLocal[V <: Seq[Double], D[A <: Seq[Double]] <: ContinuousDistance[A]](metric: D[V], clustersIDsOp: Option[ArrayBuffer[Int]] = None) extends InternalIndicesAncestorLocal[ScalarVector[V], D[V]] with Product with Serializable

Linear Supertypes
Product, Equals, InternalIndicesAncestorLocal[ScalarVector[V], D[V]], InternalIndicesCommons[ScalarVector[V], D[V]], ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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  1. InternalIndicesScalarLocal
  2. Product
  3. Equals
  4. InternalIndicesAncestorLocal
  5. InternalIndicesCommons
  6. ClusteringSharedTypes
  7. Serializable
  8. Serializable
  9. AnyRef
  10. Any
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Instance Constructors

  1. new InternalIndicesScalarLocal(metric: D[V], clustersIDsOp: Option[ArrayBuffer[Int]] = None)

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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 def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def ballHall[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz]](clusterized: GenSeq[Cz[O, ScalarVector[V]]], clusteringNumber: Int): Double

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    Definition Classes
    InternalIndicesAncestorLocal

  6. def clone(): AnyRef

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

  7. def clustersIDsNumber[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz]](clusterized: GenSeq[Cz[O, ScalarVector[V]]], clusteringNumber: Int): ArrayBuffer[Int]

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    Definition Classes
    InternalIndicesAncestorLocal

  8. val clustersIDsOp: Option[ArrayBuffer[Int]]

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    Definition Classes
    InternalIndicesScalarLocal → InternalIndicesAncestorLocal

  9. def daviesBouldin[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz]](clusterized: GenSeq[Cz[O, ScalarVector[V]]], clusteringNumber: Int): Double

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    Definition Classes
    InternalIndicesAncestorLocal

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

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    Definition Classes
    AnyRef

  11. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  13. final def good(scatter1: Double, scatter2: Double, center1: ScalarVector[V], center2: ScalarVector[V], metric: D[V]): Double

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    Measure of how good the clustering scheme is Params: scatter1,scatter2: Double - the scatter value of cluster 1 and cluster 2 center1,center2: Array[Double] - The centroid of cluster 1 and cluster 2

    Measure of how good the clustering scheme is Params: scatter1,scatter2: Double - the scatter value of cluster 1 and cluster 2 center1,center2: Array[Double] - The centroid of cluster 1 and cluster 2

    Attributes
    protected
    Definition Classes
    InternalIndicesCommons

  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  15. val metric: D[V]

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    The employed metric

    The employed metric

    Definition Classes
    InternalIndicesScalarLocal → InternalIndicesAncestorLocal

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

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    Definition Classes
    AnyRef

  17. final def notify(): Unit

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    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  19. def obtainVectorsByClusterID[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz]](clusterized: GenSeq[Cz[O, ScalarVector[V]]], clusteringNumber: Int): GenMap[ClusterID, GenSeq[ScalarVector[V]]]

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    Attributes
    protected
    Definition Classes
    InternalIndicesAncestorLocal

  20. final def scatter(cluster: GenSeq[ScalarVector[V]], centroid: ScalarVector[V], metric: D[V]): Double

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    Scatter of point in cluster Measure average distance to centroïd

    Scatter of point in cluster Measure average distance to centroïd

    returns

    Double - Scatter value

    Attributes
    protected
    Definition Classes
    InternalIndicesCommons

  21. def silhouette[O, Cz[B, C <: GVector[C]] <: Clusterizable[B, C, Cz]](clusterized: GenSeq[Cz[O, ScalarVector[V]]], clusteringNumber: Int): Double

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    Silhouette Index Complexity : O(n2)

    Silhouette Index Complexity : O(n2)

    Definition Classes
    InternalIndicesAncestorLocal

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

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    Definition Classes
    AnyRef

  23. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from InternalIndicesAncestorLocal[ScalarVector[V], D[V]]

Inherited from InternalIndicesCommons[ScalarVector[V], D[V]]

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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