all_clustering_methods: All clustering methods
In simplifyEnrichment: Simplify Functional Enrichment Results

Description Usage Details Value See Also Examples

View source: R/z.register_methods.R

All clustering methods

1	all_clustering_methods()

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.

A vector of method names.

New methods can be added by register_clustering_methods.

1	all_clustering_methods()

simplifyEnrichment documentation built on Nov. 8, 2020, 5:07 p.m.

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