silhouette: Silhouette function

In Rfast2: A Collection of Efficient and Extremely Fast R Functions II

Silhouette function

Description

Silhouette function.

Usage

silhouette(x, cl, type = "euclidean")

Arguments

x	A numerical matrix with the data.
cl	A numerical vector with the group clusterings.
type	The type of distance, by default it is the Euclidean.

Details

The silhouettes are computed.

Value

A list including:

si	A matrix with two columns, the clusters and the silhouette function, for each observation.
stats	A matrix with 4 columns. The number of observations in each cluster, the minimum, maximum and average silhouette for each cluster.

Author(s)

Michail Tsagris and Nikolaos Kontemeniotis.

R implementation and documentation: Michail Tsagris [e-mail] and Nikolaos Kontemeniotis [e-mail].

References

Rousseeuw P. J. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53–65.

See Also

big.knn, eqdist.etest

Examples

x <- as.matrix( iris[1:100, 1:4] )
cl <- kmeans(x, 2)$cluster
silhouette(x, cl)

Rfast2 documentation built on April 11, 2025, 6:15 p.m.