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Mechanisms for identifying clusters in graphs.  Where these clusters define disjoint sets of vertices, 
they may be used to define a VertexPartition for more convenient manipulation of the vertex/set
relationships.

Current clustering algorithms include:
  • BicomponentClusterer: finds all subsets of vertices for which at least 2 vertices must be removed in order to disconnect the induced subgraphs.
  • EdgeBetweennessClusterer: identifies vertex clusters by removing the edges of the highest 'betweenness' scores (see the importance/scoring package).
  • VoltageClusterer: Clusters vertices based on their ranks as calculated by VoltageRanker.
  • WeakComponentVertexClusterer: Clusters vertices based on their membership in weakly connected components of a graph.




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