reset_clustering_methods: Reset to default clustering methods
In simplifyEnrichment: Simplify Functional Enrichment Results
Description
Usage
Details
Value
Examples
View source: R/z.register_methods.R
Description
Reset to default clustering methods
Usage
1
Details
The default 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.
leading_eigensee cluster_by_igraph.
louvainsee cluster_by_igraph.
walktrapsee cluster_by_igraph.
MCLsee cluster_by_MCL.
binary_cutsee binary_cut.
Value
No value is returned.
Examples
1
2
3
4
5
all_clustering_methods()
remove_clustering_methods(c("kmeans", "mclust"))
all_clustering_methods()
reset_clustering_methods()
all_clustering_methods()
simplifyEnrichment documentation built on Nov. 8, 2020, 5:07 p.m.
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Description Usage Details Value Examples
View source: R/z.register_methods.R
Description
Reset to default clustering methods
Usage
1 |
Details
The default 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.leading_eigensee
cluster_by_igraph.louvainsee
cluster_by_igraph.walktrapsee
cluster_by_igraph.MCLsee
cluster_by_MCL.binary_cutsee
binary_cut.
Value
No value is returned.
Examples
1 2 3 4 5 | all_clustering_methods()
remove_clustering_methods(c("kmeans", "mclust"))
all_clustering_methods()
reset_clustering_methods()
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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