rla

Type Members

1. 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]

   

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

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

   

4. case class RLAMixed[Vb <: Seq[Int], Vs <: Seq[Double], D[X <: Seq[Int], Y <: Seq[Double]] <: MixedDistance[X, Y]](metric: D[Vb, Vs], epsilon: Double) extends RLAAncestor[MixedVector[Vb, Vs], D[Vb, Vs], RLAModelMixed[Vb, Vs, D]] with Product with Serializable

   

5. 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]

   

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

   

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

   

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

   

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