louvain: Louvain algorithm

Description Usage Arguments Value

View source: R/louvain.R

Description

Implementation of the Louvain method for local maximization of modularity.

Usage

1
  louvain(G, C=1:ncol(G), maxreps = 100, verbose = TRUE)

Arguments

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)

Value

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.