Class/Object

net.sansa_stack.ml.spark.clustering

RDFGraphPICClustering

Related Docs: object RDFGraphPICClustering | package clustering

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class RDFGraphPICClustering extends Serializable

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  1. RDFGraphPICClustering
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Instance Constructors

  1. new RDFGraphPICClustering(sparkSession: SparkSession, graph: Graph[String, String], k: Int, maxIterations: Int)

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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. def SimilaritesInPIC(e: Int, f: Int): RDD[(Long, Long, Double)]

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  7. def clusterRdd(): RDD[(Long, Long, Double)]

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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  12. val graph: Graph[String, String]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. def load(path: String): PowerIterationClusteringModel

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  16. def model: PowerIterationClusteringModel

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. val orient: Int

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  21. def pic(): PowerIterationClustering

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  22. def run(): PowerIterationClusteringModel

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  23. def save(path: String): Unit

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  24. val selectYourSimilarity: Int

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  25. val sparkSession: SparkSession

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

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  27. def toString(): String

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  28. final def wait(): Unit

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

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

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