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DIscBIO (version 1.1.0)

Jaccard: Jaccard<U+2019>s similarity

Description

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.

Usage

Jaccard(object, Clustering = "K-means", K, plot = TRUE, R = 100, ...)

Arguments

object

DISCBIO class object.

Clustering

Clustering has to be one of the following: ["K-means","MB"]. Default is "K-means"

K

A numeric value of the number of clusters

plot

if `TRUE`, plots the mean Jaccard similarities

R

number of bootstrap replicates

...

Further arguments passed to boot::boot

Value

A plot of the mean Jaccard similarity coefficient per cluster.