multitrap.community: Constructs a two-step clustering, first running...

In conos: Clustering on Network of Samples

Constructs a two-step clustering, first running multilevel.communities, and then walktrap.communities within each These are combined into an overall hierarchy

Description

Constructs a two-step clustering, first running multilevel.communities, and then walktrap.communities within each These are combined into an overall hierarchy

Usage

multitrap.community(
  graph,
  n.cores = parallel::detectCores(logical = FALSE),
  hclust.link = "single",
  min.community.size = 10,
  verbose = FALSE,
  level = NULL,
  ...
)

Arguments

graph	graph
n.cores	numeric Number of cores to use (default=parallel::detectCores(logical=FALSE))
hclust.link	character Link function to use when clustering multilevel communities (based on collapsed graph connectivity) (default='single')
min.community.size	numeric Minimal community size parameter for the walktrap communities .. communities smaller than that will be merged (default=10)
verbose	boolean Whether to output progress messages (default=FALSE)
level	numeric What level of multitrap clustering to use in the starting step. By default, uses the top level. An integer can be specified for a lower level (i.e. 1) (default=NULL)
...	passed to walktrap

Value

a fakeCommunities object that has methods membership() and as.dendrogram() to mimic regular igraph returns

conos documentation built on Oct. 17, 2022, 9:07 a.m.