All clustering methods — all_clustering_methods • simplifyEnrichment

All clustering methods

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.
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()
#>  [1] "binary_cut"     "kmeans"         "pam"            "dynamicTreeCut"
#>  [5] "mclust"         "apcluster"      "hdbscan"        "fast_greedy"   
#>  [9] "louvain"        "walktrap"       "MCL"