org.apache.spark.mllib.clustering

PowerIterationClusteringModel

class PowerIterationClusteringModel extends Serializable

:: Experimental ::

Model produced by PowerIterationClustering.

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@Experimental()
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Instance Constructors

  1. new PowerIterationClusteringModel(k: Int, assignments: RDD[Assignment])

    k

    number of clusters

    assignments

    an RDD of clustering PowerIterationClustering#Assignments

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. val assignments: RDD[Assignment]

    an RDD of clustering PowerIterationClustering#Assignments

  8. def clone(): AnyRef

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    protected[java.lang]
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  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. val k: Int

    number of clusters

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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