all_clustering_methods: All clustering methods
In jokergoo/simplifyEnrichment: Simplify Functional Enrichment Results
View source: R/z.register_methods.R
all_clustering_methods R Documentation
All clustering methods
Description
All clustering methods
Usage
all_clustering_methods()
Details
The default clustering methods are:
kmeanssee cluster_by_kmeans.
dynamicTreeCutsee cluster_by_dynamicTreeCut.
mclustsee cluster_by_mclust.
apclustersee cluster_by_apcluster.
hdbscansee cluster_by_hdbscan.
fast_greedysee cluster_by_igraph.
louvainsee cluster_by_igraph.
walktrapsee cluster_by_igraph.
MCLsee cluster_by_MCL.
binary_cutsee binary_cut.
Value
A vector of method names.
See Also
New methods can be added by register_clustering_methods.
Examples
all_clustering_methods()
jokergoo/simplifyEnrichment documentation built on Nov. 3, 2023, 2:57 p.m.
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View source: R/z.register_methods.R
| all_clustering_methods | R Documentation |
All clustering methods
Description
All clustering methods
Usage
all_clustering_methods()
Details
The default clustering methods are:
kmeanssee
cluster_by_kmeans.dynamicTreeCutsee
cluster_by_dynamicTreeCut.mclustsee
cluster_by_mclust.apclustersee
cluster_by_apcluster.hdbscansee
cluster_by_hdbscan.fast_greedysee
cluster_by_igraph.louvainsee
cluster_by_igraph.walktrapsee
cluster_by_igraph.MCLsee
cluster_by_MCL.binary_cutsee
binary_cut.
Value
A vector of method names.
See Also
New methods can be added by register_clustering_methods.
Examples
all_clustering_methods()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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