Description Usage Arguments Value

Implementation of the Louvain method for local maximization of modularity.

1 |

`G` |
a symmetric N-by-N numeric matrix representing the weights of edges between the N nodes |

`maxreps` |
a numeric value indicating the maximal number of iteration in the Louvain algorithm (default=100) |

`verbose` |
a boolean vaue indicating whether to print progress messages (default=TRUE) |

`C` |
an optional vector of length N with the initial numeric cluster assignments (default is for each sample to belong to its own singleton cluster) |

a list containing the a vector of length N (clusters) with cluster assignments that maximizes modularity, and the new modularity (newQ)

yishaishimoni/phenoClust documentation built on Dec. 15, 2017, 3:05 a.m.

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