Trait

org.clustering4ever.clustering.scala.meanshift

GradientAscentAncestor

Related Doc: package meanshift

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

Linear Supertypes
GradientAscentArgs[V, D], MetricArgs[V, D], MaxIterationsArgs, MinShiftArgs, AlgorithmsArguments, Serializable, Serializable, AnyRef, Any
Known Subclasses
GradientAscent, GradientAscentBinary, GradientAscentMixed, GradientAscentScalar
Ordering
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Inherited
  1. GradientAscentAncestor
  2. GradientAscentArgs
  3. MetricArgs
  4. MaxIterationsArgs
  5. MinShiftArgs
  6. AlgorithmsArguments
  7. Serializable
  8. Serializable
  9. AnyRef
  10. Any
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Visibility
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Abstract Value Members

  1. abstract val alternativeVectorID: Int

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    The ID where the mode is stored

  2. abstract val kernel: K

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    The kernel used

  3. abstract val maxIterations: Int

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    The maximum iterations number allowed for this algorithm

    The maximum iterations number allowed for this algorithm

    Definition Classes
    GradientAscentAncestor → MaxIterationsArgs

  4. abstract val metric: D

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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
    GradientAscentAncestor → MetricArgs

  5. abstract val minShift: Double

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    The threshold under which points are considered stationary

    The threshold under which points are considered stationary

    Definition Classes
    GradientAscentAncestor → MinShiftArgs

Concrete 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 def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  8. final def fit[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

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

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    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  10. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  13. final def notify(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  14. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

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

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    Definition Classes
    AnyRef

  16. def toString(): String

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

  19. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit

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

    (Since version ) see corresponding Javadoc for more information.

Inherited from GradientAscentArgs[V, D]

Inherited from MetricArgs[V, D]

Inherited from MaxIterationsArgs

Inherited from MinShiftArgs

Inherited from AlgorithmsArguments

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped