rla

Type Members

1. final case class RLA[V <: GVector[V], D[X <: GVector[X]] <: Distance[X]](metric: D[V], epsilon: Double) extends RLAAncestor[V, D[V], RLAModel[V, D]] with Product with Serializable

   

2. trait RLAAncestor[V <: GVector[V], D <: Distance[V], CM <: RLAModelAncestor[V, D]] extends ClusteringAlgorithmLocal[V, CM] with MetricArgs[V, D]

   

   The random Local Area clustering algorithm introduce at https://ieeexplore.ieee.org/document/7727595

3. final case class RLABinary[D <: BinaryDistance](metric: D, epsilon: Double) extends ClusteringAlgorithmLocalBinary[RLAModelBinary[D]] with RLAAncestor[BinaryVector, D, RLAModelBinary[D]] with Product with Serializable

   

4. final case class RLAMixed[D <: MixedDistance](metric: D, epsilon: Double) extends RLAAncestor[MixedVector, D, RLAModelMixed[D]] with Product with Serializable

   

5. final case class RLAModel[V <: GVector[V], D[X <: GVector[X]] <: Distance[X]](metric: D[V], epsilon: Double, centers: HashMap[Int, V]) extends RLAModelAncestor[V, D[V]] with KnnModelModel[V, D[V]] with Product with Serializable

   

6. trait RLAModelAncestor[V <: GVector[V], D <: Distance[V]] extends ClusteringModelLocal[V] with KnnModelModelLocalCz[V, D] with CenterModelLocalCz[V, D] with MetricArgs[V, D]

   

7. final case class RLAModelBinary[D <: BinaryDistance](metric: D, epsilon: Double, centers: HashMap[Int, BinaryVector]) extends ClusteringModelLocalBinary with RLAModelAncestor[BinaryVector, D] with CenterModelLocalBinary[D] with KnnModelModelBinary[D] with Product with Serializable

   

8. final case class RLAModelMixed[D <: MixedDistance](metric: D, epsilon: Double, centers: HashMap[Int, MixedVector]) extends RLAModelAncestor[MixedVector, D] with CenterModelMixedLocal[D] with KnnModelModelMixed[D] with Product with Serializable

   

9. final case class RLAModelScalar[D <: ContinuousDistance](metric: D, epsilon: Double, centers: HashMap[Int, ScalarVector]) extends ClusteringModelLocalScalar with RLAModelAncestor[ScalarVector, D] with CenterModelLocalReal[D] with KnnModelModelScalar[D] with Product with Serializable

   

10. final case class RLAScalar[D <: ContinuousDistance](metric: D, epsilon: Double) extends ClusteringAlgorithmLocalScalar[RLAModelScalar[D]] with RLAAncestor[ScalarVector, D, RLAModelScalar[D]] with Product with Serializable