SimilarityMeasure: Similarity of a set of clusterings to a reference

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

Similarity of a set of clusterings to a reference

Description

Given a colour/label matrix (clusterings in rows, objects in columns) or a list of clustering outputs, the proportion of objects sharing the label of the first (reference) row is computed for every row. When a list is supplied it is first aligned with ReorderToReference; supplying the label matrix directly avoids that dependency.

Usage

SimilarityMeasure(
  List,
  nrclusters = NULL,
  fusionsLog = TRUE,
  weightclust = TRUE,
  names = NULL
)

Arguments

List	A label matrix (rows are clusterings, columns are objects) or a list of clustering outputs to be aligned via ReorderToReference.
nrclusters	Number of clusters used when List is a list. Default NULL.
fusionsLog, weightclust	Logical controls passed to ReorderToReference when List is a list.
names	Optional method names passed to ReorderToReference.

Value

A numeric vector of similarities in [0, 1], one per row, where the first entry is the reference compared to itself (always 1).

References

Fodeh, S. J., Brandt, C., Luong, T. B., Haddad, A., Schultz, M., Murphy, T. and Krauthammer, M. (2013). Complementary ensemble clustering of biomedical data. Journal of Biomedical Informatics, 46(3), 436-443.

Examples

## Not run: 
M <- rbind(c(1, 1, 2, 2, 3, 3),
           c(1, 1, 2, 3, 3, 3),
           c(2, 2, 1, 1, 3, 3))
SimilarityMeasure(M)

## End(Not run)

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