igraphClustering {CiteFuse} | R Documentation

## igraphClustering

### Description

A function to perform igraph clustering

### Usage

    igraphClustering(
      sce,
      metadata = "SNF_W",
      method = c("louvain", "walktrap", "spinglass", "optimal", "leading_eigen",
        "label_prop", "fast_greedy", "edge_betweenness"),
      ...
    )

### Arguments

`sce` | A singlecellexperiment object
`metadata` | indicates the meta data name of affinity matrix to virsualise
`method` | A character indicates the method for finding communities from igraph. Default is louvain clustering.
`...` | Other inputs for the igraph functions

### Value

A vector indicates the membership (clustering) results

### Examples

    data(sce_control_subset, package = "CiteFuse")
    sce_control_subset <- CiteFuse(sce_control_subset)
    SNF_W_louvain <- igraphClustering(sce_control_subset,
    method = "louvain")

[Package CiteFuse version 1.2.1 Index]