SOMMD (version 0.1.2)

silhouette.score: Silhouette score

Description

Function to compute the silhouette score for the clustering of SOM neurons

Usage

silhouette.score(
  SOM,
  dist_clust = "euclidean",
  clust_method = "complete",
  interval = seq(2, 30)
)

Value

A vector with the silhouette scores for all the frames

Arguments

SOM

the SOM object to cluster

dist_clust

the metric for the distance calculation

clust_method

the method for the clustering (passed to the hclust function

interval

the cluster number on which the silhouette score will be computed

Author

Stefano Motta

Examples

#Read example SOM data
som_model <- readRDS(system.file("extdata", "SOM_HIFa.rds", package = "SOMMD"))
#Compute the silhouette profile
sil_score <- silhouette.score(som_model, clust_method="complete", interval=seq(2,8))