cluster_relabel: Relabeling clusters based on cluster similarities

In ConsensusClustering: Consensus Clustering

Relabeling clusters based on cluster similarities

Description

Relabeling clusters based on cluster similarities

Usage

cluster_relabel(x1, x2)

Arguments

x1	clustering vector 1 Zero elements are are considered as unclustered samples
x2	clustering vector 2 Zero elements are are considered as unclustered samples

Details

When performing performing several clustering, the cluster labels may no match with each other. To perform maximum voting, the clustering need to be relabels based on label similarities.

Value

dataframe of relabeled clusters

Examples

X = gaussian_clusters()$X
x1 = kmeans(X, 5)$cluster
x2 = kmeans(X, 5)$cluster
clusters = cluster_relabel(x1, x2)

ConsensusClustering documentation built on Sept. 11, 2024, 6:38 p.m.