all_clustering_methods {simplifyEnrichment} | R Documentation

## All clustering methods

### Description

All clustering methods

### Usage

    all_clustering_methods()

### Details

The default clustering methods are:

`kmeans`

  see `cluster_by_kmeans`.

`dynamicTreeCut`

  see `cluster_by_dynamicTreeCut`.

`mclust`

  see `cluster_by_mclust`.

`apcluster`

  see `cluster_by_apcluster`.

`hdbscan`

  see `cluster_by_hdbscan`.

`fast_greedy`

  see `cluster_by_igraph`.

`leading_eigen`

  see `cluster_by_igraph`.

`louvain`

  see `cluster_by_igraph`.

`walktrap`

  see `cluster_by_igraph`.

`MCL`

  see `cluster_by_MCL`.

`binary_cut`

  see `binary_cut`.

### Value

A vector of method names.

### See Also

New methods can be added by `register_clustering_methods`.

### Examples

    all_clustering_methods()

[Package simplifyEnrichment version 1.4.0 Index]