ml.sparkling.graph.operators.partitioning

PSCANBasedPartitioning

object PSCANBasedPartitioning

Created by Roman Bartusiak (roman.bartusiak@pwr.edu.pl http://riomus.github.io). First approach to community based graph partitioning. It is not efficient due to need of gathering vertex to component id on driver node.

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  7. def buildPartitioningStrategy[ED, VD](graph: Graph[VD, ED], numberOfPartitions: Int, maxIterations: Int = Int.MaxValue)(implicit arg0: ClassTag[ED], arg1: ClassTag[VD], sc: SparkContext): (VertexId, Map[VertexId, Int], Int, ByComponentIdPartitionStrategy)

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  19. def partitionGraphBy[VD, ED](graph: Graph[VD, ED], numberOfPartitions: Int, maxIterations: Int = Int.MaxValue)(implicit arg0: ClassTag[VD], arg1: ClassTag[ED], sc: SparkContext): Graph[VD, ED]

  20. def precomputePartitions[ED, VD](graph: Graph[VD, ED], numberOfPartitions: Int, maxIterations: Int = Int.MaxValue)(implicit arg0: ClassTag[ED], arg1: ClassTag[VD], sc: SparkContext): (VertexId, Map[VertexId, Int], Int)

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