% Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/clustering.R
 \name{igraphClustering}
 \alias{igraphClustering}

 \title{igraphClustering}

 \usage{
 igraphClustering(
   sce,
   metadata = "SNF_W",

   method = c("louvain", "leiden", "walktrap", "spinglass", "optimal", "leading_eigen",

     "label_prop", "fast_greedy", "edge_betweenness"),
   ...
 )
 }
 \arguments{
 \item{sce}{A singlecellexperiment object}
 

 \item{metadata}{indicates the meta data name of affinity matrix
 to virsualise}

 \item{method}{A character indicates the method for finding communities
 from igraph. Default is louvain clustering.}

 
 \item{...}{Other inputs for the igraph functions}
 }

 \value{
 A vector indicates the membership (clustering) results
 }

 \description{
 A function to perform igraph clustering
 }

 \examples{
 

 data(sce_control_subset, package = "CiteFuse")

 sce_control_subset <- CiteFuse(sce_control_subset)

 SNF_W_louvain <- igraphClustering(sce_control_subset,
 method = "louvain")
 
 }