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FastConcensus clustering algorithms extended for the Clubmark benchmarking

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@luav luav released this 17 Aug 22:20
· 8 commits to master since this release

The FastConcensus clustering algorithms extended for the Clubmark benchmarking:

  • arbitrary ranges of ids are supported in the input edgefile
  • output directory and the number of worker processes are parameterized
  • description and code formatting refined a bit

Note: in spite of the edgefiles with weights are supported as a valid input, the weight are actually ignored (both in this and original implementations).