SharedComps: Objects shared across clusterings

In MosaiClusteR: An Umbrella Framework for Multi-Source and Multi-Omics Clustering

Objects shared across clusterings

Description

SharedComps determines, per cluster, which objects are shared across all listed clustering results. The clusterings are first rearranged to a common reference with ReorderToReference and the intersection of the lead objects of every method is taken per cluster.

Usage

SharedComps(
  List,
  nrclusters = NULL,
  fusionsLog = FALSE,
  weightclust = FALSE,
  names = NULL
)

Arguments

List	A list of the clustering outputs to be compared. The first element of the list will be used as the reference in ReorderToReference.
nrclusters	If List is the output of several clustering methods, it has to be provided in how many clusters to cut the dendrograms in. Default is NULL.
fusionsLog	Logical. To be handed to ReorderToReference: indicator for the fusion of clusters. Default is FALSE.
weightclust	Logical. To be handed to ReorderToReference: to be used for the outputs of CEC, WeightedClust or WeightedSimClust. If TRUE, only the result of the Clust element is considered. Default is FALSE.
names	Names of the methods or clusters. Default is NULL.

Value

A list containing the shared objects of all listed elements per cluster.

Examples

## Not run: 
data(mosaic_toy)
L <- mosaic_toy$List
res <- list(Cluster(L[[1]], type = "data", distmeasure = "euclidean"),
            Cluster(L[[2]], type = "data", distmeasure = "euclidean"))
Comps <- SharedComps(List = res, nrclusters = 5, fusionsLog = FALSE,
                     weightclust = FALSE, names = c("S1", "S2"))

## End(Not run)

MosaiClusteR documentation built on Oct. 25, 2026, 1:08 a.m.