Class

org.clustering4ever.clustering.scala.meanshift

GradientAscent

Related Doc: package meanshift

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final case class GradientAscent[V <: GVector[V], D[X <: GVector[X]] <: Distance[X], KArgs <: KernelArgs, K[X <: GVector[X], Y <: KernelArgs] <: Kernel[X, Y]](epsilon: 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

kernel

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

Linear Supertypes
Product, Equals, GradientAscentAncestor[V, D[V], KArgs, K[V, KArgs]], Serializable, Serializable, AnyRef, Any
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  1. GradientAscent
  2. Product
  3. Equals
  4. GradientAscentAncestor
  5. Serializable
  6. Serializable
  7. AnyRef
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Instance Constructors

  1. new GradientAscent(epsilon: Double, maxIterations: Int, kernel: K[V, KArgs], metric: D[V], alternativeVectorID: Int)

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    kernel

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

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 val alternativeVectorID: Int

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    The ID where the mode is stored

    The ID where the mode is stored

    Definition Classes
    GradientAscent → GradientAscentAncestor

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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

  7. final val epsilon: Double

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    The threshold under which points are considered sufficiently moving

    The threshold under which points are considered sufficiently moving

    Definition Classes
    GradientAscent → GradientAscentAncestor

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

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    Definition Classes
    AnyRef

  9. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  12. final val kernel: K[V, KArgs]

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

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

    Definition Classes
    GradientAscent → GradientAscentAncestor

  13. final val maxIterations: Int

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    The meximum number of iteration allowed

    The meximum number of iteration allowed

    Definition Classes
    GradientAscent → GradientAscentAncestor

  14. final val metric: D[V]

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    The metric used to measure the shift distance of the mode at each iteration

    The metric used to measure the shift distance of the mode at each iteration

    Definition Classes
    GradientAscent → GradientAscentAncestor

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

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    Definition Classes
    AnyRef

  16. final def notify(): Unit

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    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  18. final def run[O, Pz[Y, Z <: GVector[Z]] <: Preprocessable[Y, Z, Pz], GS[X] <: GenSeq[X]](data: GS[Pz[O, V]]): GS[(Pz[O, V], Double)]

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    O

    the raw object nature

    Pz

    a descendant of preprocessable

    GS

    the nature of the collection The main method to run the gradient ascent

    Definition Classes
    GradientAscentAncestor

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

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    Definition Classes
    AnyRef

  20. final def wait(): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from GradientAscentAncestor[V, D[V], KArgs, K[V, KArgs]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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