MLlib implements power iteration clustering. We can add a wrapper in GraphFrames. For example, g.powerIterationClustering.k(10).maxIter(5).run() returns a vertex DataFrame with cluster assignments. Note that we fixed a bug in PIC recently. So we might need to copy the implementation from Spark master before the next Spark release, as we did for PageRank.
MLlib implements power iteration clustering. We can add a wrapper in GraphFrames. For example,
g.powerIterationClustering.k(10).maxIter(5).run()returns a vertex DataFrame with cluster assignments. Note that we fixed a bug in PIC recently. So we might need to copy the implementation from Spark master before the next Spark release, as we did for PageRank.