Merge Clustering Results Using a Consensus Clustering Algorithm

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

Usage

merge_clus(x, ...)

Arguments

x

A clustering result, typically a list or an object of class "cluster_result".

...

Additional clustering results to be merged and method-specific arguments (e.g., method for consensus algorithm selection).

Value

A ClusteredNeuroVol instance.

See also

cl_consensus, as.cl_hard_partition, cl_ensemble

Examples

if (FALSE) { # \dontrun{
# Assuming clustering1, clustering2, and clustering3 are objects of class "cluster_result"
merged_clustering <- merge_clus(clustering1, clustering2, clustering3, method="SE")
} # }