Package

org.clustering4ever.clustering

indices

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package indices

Visibility
  1. Public
  2. All

Type Members

  1. trait ClustersIndicesAnalysisAncestorLocal[O, V <: GVector[V], Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz], GS[X] <: GenSeq[X]] extends ClustersIndicesAnalysis[O, V, Cz, GS]

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  2. final case class ClustersIndicesAnalysisLocal[O, V <: GVector[V], Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz], GS[X] <: GenSeq[X]](clusterized: GS[Cz[O, V]], internalsIndicesByMetricClusteringNumberIndex: Map[(MetricID, ClusteringNumber, InternalsIndicesType), Double] = ...) extends ClustersIndicesAnalysisAncestorLocal[O, V, Cz, GS] with Product with Serializable

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  3. trait ExternalIndicesLocal extends AnyRef

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  4. trait InternalIndicesAncestorLocal[V <: GVector[V], D <: Distance[V]] extends InternalIndicesCommons[V, D]

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  5. final case class InternalIndicesBinaryLocal[V <: Seq[Int], D[A <: Seq[Int]] <: BinaryDistance[A]](metric: D[V], clustersIDsOp: Option[ArrayBuffer[Int]] = None) extends InternalIndicesAncestorLocal[BinaryVector[V], D[V]] with Product with Serializable

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  6. trait InternalIndicesCommons[V <: GVector[V], D <: Distance[V]] extends ClusteringSharedTypes

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    This object is used to compute internals clustering indices as Davies Bouldin or Silhouette

  7. final case class InternalIndicesLocal[V <: GVector[V], D[A <: GVector[A]] <: Distance[A]](metric: D[V], clustersIDsOp: Option[ArrayBuffer[Int]] = None) extends InternalIndicesAncestorLocal[V, D[V]] with Product with Serializable

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  8. 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

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Value Members

  1. object ExternalIndicesLocal extends ExternalIndicesLocal

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  2. object InternalIndicesLocal extends ClusteringSharedTypes

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