computeUnsupervisedMetrics: computeUnsupervisedMetrics

In cindyfang70/clustREval: Evaluates Clustering

Description

A function that computes Dunn Index and and mean Silhouette score for a clustering output

Usage

computeUnsupervisedMetrics(sce, clusters)

Arguments

sce	A SingleCellExperiment object with raw counts in the counts slot.
clusters	Factor representing clustering results for the SingleCellExperiment object.

Value

A list with the Dunn Index and mean Silhouette score as elements

Examples

# Example:
## Not run: 
data(embryo)
data(embryoClusts)
# Compute metrics for the first clustering output on the embryo dataset
metrics <- computeUnsupervisedMetrics(embryo, embryoClusts[[1]])

## End(Not run)

cindyfang70/clustREval documentation built on Dec. 19, 2021, 4:59 p.m.