compare_clusterings: Compare two clusterings derived from distance matrices

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

Compare two clusterings derived from distance matrices

Description

Clusters two dissimilarity matrices with the same linkage and number of clusters and reports their agreement (ARI, NMI, pairwise Jaccard) and the contingency table.

Usage

compare_clusterings(
  D1,
  D2,
  NC = NULL,
  linkage = "ward.D2",
  labels = c("D1", "D2"),
  verbose = TRUE
)

Arguments

D1, D2	Square dissimilarity matrices over the same objects.
NC	Number of clusters (default floor(sqrt(n))).
linkage	Linkage method. Default "ward.D2".
labels	Length-2 labels for the two solutions.
verbose	Logical; print a short report.

Value

Invisibly, a list with the two label vectors, ARI, NMI, pair_Jaccard and the contingency table.

Examples

set.seed(1)
D1 <- as.matrix(dist(matrix(rnorm(60), 20)))
D2 <- as.matrix(dist(matrix(rnorm(60), 20)))
compare_clusterings(D1, D2, NC = 3, verbose = FALSE)$ARI

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