silhouette.km: Silhouettes for K-Means Clustering

In coatless/msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden

Silhouettes for K-Means Clustering

Description

Find the silhouettes (12.9) for K-means clustering from the data and and the groups' centers.

Usage

silhouette.km(x, centers)

Arguments

x	The N \times P data matrix.
centers	The K \times P matrix of centers (means) for the K Clusters, row k being the center for cluster K.

Details

This function is a bit different from the silhouette function in the cluster package, Maechler et al., 2005.

Value

The n-vector of silhouettes, indexed by the observations' indices.

Examples

# Uses sports data.
data(sportsranks)

# Obtain the K-means clustering for sports ranks.
kms <- kmeans(sportsranks, centers = 5, nstart = 10)

# Silhouettes
sil <- silhouette.km(sportsranks, kms$centers)

coatless/msos documentation built on Nov. 16, 2023, 5:31 a.m.