Class/Object

org.apache.flink.ml.metrics.distances

MinkowskiDistanceMetric

Related Docs: object MinkowskiDistanceMetric | package distances

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class MinkowskiDistanceMetric extends DistanceMetric

This class implements a Minkowski distance metric. The metric is a generalization of L(p) distances: Euclidean distance and Manhattan distance. If you need for a special case of p = 1 or p = 2, use ManhattanDistanceMetric, EuclideanDistanceMetric. This class is useful for high exponents.

See also

http://en.wikipedia.org/wiki/Minkowski_distance

Linear Supertypes
DistanceMetric, Serializable, Serializable, AnyRef, Any
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Inherited
  1. MinkowskiDistanceMetric
  2. DistanceMetric
  3. Serializable
  4. Serializable
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Visibility
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Instance Constructors

  1. new MinkowskiDistanceMetric(p: Double)

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    p

    the norm exponent of space

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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    Any
  5. def checkValidArguments(a: Vector, b: Vector): Unit

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    Attributes
    protected
    Definition Classes
    DistanceMetric
  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. def distance(a: Vector, b: Vector): Double

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    Returns the distance between the arguments.

    Returns the distance between the arguments.

    a

    a Vector defining a multi-dimensional point in some space

    b

    a Vector defining a multi-dimensional point in some space

    returns

    a scalar double of the distance

    Definition Classes
    MinkowskiDistanceMetricDistanceMetric
  8. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  12. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  14. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  15. final def notify(): Unit

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    Definition Classes
    AnyRef
  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  17. val p: Double

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    the norm exponent of space

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

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    Definition Classes
    AnyRef
  19. def toString(): String

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  20. final def wait(): Unit

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

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

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    Definition Classes
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    @throws( ... )

Inherited from DistanceMetric

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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