meanshift

Type Members

1. final case class GradientAscent[V <: GVector[V], D[X <: GVector[X]] <: Distance[X], KArgs <: EstimatorArgs, K[X <: GVector[X], Y <: EstimatorArgs] <: Estimator[X, Y]](minShift: Double, maxIterations: Int, kernel: K[V, KArgs], metric: D[V], alternativeVectorID: Int) extends GradientAscentAncestor[V, D[V], KArgs, K[V, KArgs]] with Product with Serializable

   

   Mean Shift gradient ascent

   Mean Shift gradient ascent

   kernel

   defines the nature of kernel and its parameters used in the gradient ascent

2. trait GradientAscentAncestor[V <: GVector[V], D <: Distance[V], KArgs <: EstimatorArgs, K <: Estimator[V, KArgs]] extends GradientAscentArgs[V, D]

   

3. trait GradientAscentArgs[V <: GVector[V], D <: Distance[V]] extends MinShiftArgs with MaxIterationsArgs with MetricArgs[V, D]

   

4. final case class GradientAscentBinary[D <: BinaryDistance, KArgs <: EstimatorArgs, K[X <: GVector[X], Y <: EstimatorArgs] <: Estimator[X, Y]](minShift: Double, maxIterations: Int, kernel: K[BinaryVector, KArgs], metric: D, alternativeVectorID: Int) extends GradientAscentAncestor[BinaryVector, D, KArgs, K[BinaryVector, KArgs]] with Product with Serializable

   

   Mean Shift gradient ascent

   Mean Shift gradient ascent

   kernel

   defines the nature of kernel and its parameters used in the gradient ascent

5. final case class GradientAscentMixed[D <: MixedDistance, KArgs <: EstimatorArgs, K[X <: GVector[X], Y <: EstimatorArgs] <: Estimator[X, Y]](minShift: Double, maxIterations: Int, kernel: K[MixedVector, KArgs], metric: D, alternativeVectorID: Int) extends GradientAscentAncestor[MixedVector, D, KArgs, K[MixedVector, KArgs]] with Product with Serializable

   

   Mean Shift gradient ascent

   Mean Shift gradient ascent

   kernel

   defines the nature of kernel and its parameters used in the gradient ascent

6. final case class GradientAscentScalar[D <: ContinuousDistance, KArgs <: EstimatorArgs, K[X <: GVector[X], Y <: EstimatorArgs] <: Estimator[X, Y]](minShift: Double, maxIterations: Int, kernel: K[ScalarVector, KArgs], metric: D, alternativeVectorID: Int) extends GradientAscentAncestor[ScalarVector, D, KArgs, K[ScalarVector, KArgs]] with Product with Serializable

   

   Mean Shift gradient ascent

   Mean Shift gradient ascent

   kernel

   defines the nature of kernel and its parameters used in the gradient ascent