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 1.3.0 Index]