merge_clus: Merge Clustering Results Using a Consensus Clustering...

In bbuchsbaum/neurocluster: Spatially contrained clustering for neuroimaging data

Merge Clustering Results Using a Consensus Clustering Algorithm

Description

The merge_clus function combines a set of clustering results using a consensus clustering algorithm.

Usage

merge_clus(x, method, ...)

Arguments

x	A clustering result, typically a list or an object of class "cluster_result".
method	A character string indicating the consensus clustering algorithm to use. Default is "SE". See cl_consensus for available methods.
...	Additional clustering results to be merged.

Value

A ClusteredNeuroVol instance.

See Also

cl_consensus, as.cl_hard_partition, cl_ensemble

Examples

# Assuming clustering1, clustering2, and clustering3 are objects of class "cluster_result"
merged_clustering <- merge_clus(clustering1, clustering2, clustering3, method="SE")

bbuchsbaum/neurocluster documentation built on April 1, 2024, 8:43 p.m.