Object/Trait

org.clustering4ever.scala.umap

RPTree

Related Docs: trait RPTree | package umap

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object RPTree extends Serializable

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Value Members

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

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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

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    @HotSpotIntrinsicCandidate()
  9. def hashCode(): Int

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    @HotSpotIntrinsicCandidate()
  10. final def height(rp: RPTree): Int

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    rp

    a random projection tree

    returns

    the height of the RP tree

  11. final def isInstanceOf[T0]: Boolean

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  12. final def leaves(rp: RPTree): Int

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    rp

    a random projection tree

    returns

    the number of leaves in the RP tree

  13. final def makeAngularTree(data: Array[Array[Double]], indices: ArrayBuffer[Int], leafSize: Int): RPTree

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    Construct a random angular projection tree based on data with leaves of size at most leaf_size with a angular distance.

    Construct a random angular projection tree based on data with leaves of size at most leaf_size with a angular distance.

    data

    The original data to be split

    leafSize

    The maximum size of any leaf node in the tree. Any node in the three with more than leafSize will be split further to create child nodes.

    returns

    A random projection tree node which links to its child nodes. This provides the full tree below the returned node.

  14. final def makeEuclideanTree(data: Array[Array[Double]], indices: ArrayBuffer[Int], leafSize: Int): RPTree

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    Construct a random euclidean projection tree based on data with leaves of size at most leaf_size with a angular distance.

    Construct a random euclidean projection tree based on data with leaves of size at most leaf_size with a angular distance.

    data

    The original data to be split

    leafSize

    The maximum size of any leaf node in the tree. Any node in the three with more than leafSize will be split further to create child nodes.

    returns

    A random projection tree node which links to its child nodes. This provides the full tree below the returned node.

  15. final def makeTree(data: Array[Array[Double]], indices: ArrayBuffer[Int], leafSize: Int, angular: Boolean = false): RPTree

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    Construct a random projection tree based on data with leaves of size at most leaf_size.

    Construct a random projection tree based on data with leaves of size at most leaf_size.

    data

    The original data to be split

    returns

    A random projection tree node which links to its child nodes. This provides the full tree below the returned node.

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

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  17. final def nodes(rp: RPTree): Int

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    rp

    a random projection tree

    returns

    the number of nodes in the RP tree

  18. final def notify(): Unit

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    @HotSpotIntrinsicCandidate()
  19. final def notifyAll(): Unit

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    @HotSpotIntrinsicCandidate()
  20. def print(rp: RPTree): Unit

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

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  22. def toString(): String

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

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

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  25. final def wait(): Unit

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Deprecated Value Members

  1. def finalize(): Unit

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    @Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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