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I have used the Markov Clustering Algorithm (MCL) to cluster tweets, based on their similarity. However, I got a too high number of clusters, and most of the clusters have only one tweet. Any suggestions to reduce the number of clusters?

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Depending on the implementation you're using, you can adjust the granularity, which will influence how many clusters you will get.

See this description of MCL.

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  • $\begingroup$ Thank you for your answer, you mean I adjust inflation parameter of mcl to get better clusers? Is that what you mean by granularity? $\endgroup$ Sep 24 at 23:07
  • $\begingroup$ No, granularity is not the same as inflation. Are there no other parameter you can adjust? $\endgroup$ Sep 25 at 18:26

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