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org.clustering4ever.scala.clustering.meanshift

GradientAscent

Related Docs: object GradientAscent | package meanshift

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class GradientAscent[ID, O, V <: Seq[Double], Cz[ID, O, V] <: ClusterizableExt[ID, O, V, Cz[ID, O, V]], D <: ContinuousDistance[V], KArgs <: KernelArgs, K[V, KArgs <: KernelArgs] <: Kernel[V, KArgs]] extends AnyRef

Mean Shift gradient ascent

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Instance Constructors

  1. new GradientAscent(data: GenSeq[Cz[ID, O, V]], epsilon: Double, maxIterations: Int, kernel: K[V, KArgs], metric: D, altVectName: Int = Int.MaxValue)(implicit arg0: Numeric[ID])

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    kernel

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

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def run(workingVector: Int = 0): GenSeq[Cz[ID, O, V]]

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

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  17. def toString(): String

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  18. final def wait(): Unit

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