Robustness of the clusters can be assessed by Jaccard<U+2019>s similarity, which reflects the reproducibility of individual clusters across bootstrapping runs. Jaccard<U+2019>s similarity is the intersect of two clusters divided by the union.
Jaccard(object, Clustering = "K-means", K, plot = TRUE, R = 100, ...)
DISCBIO
class object.
Clustering has to be one of the following: ["K-means","MB"]. Default is "K-means"
A numeric value of the number of clusters
if `TRUE`, plots the mean Jaccard similarities
number of bootstrap replicates
Further arguments passed to boot::boot
A plot of the mean Jaccard similarity coefficient per cluster.