intern.dunn {fdm2id}

Clustering evaluation through Dunn's index

Description

Evaluation a clustering algorithm according to Dunn's index.

Usage

intern.dunn(clus, d, type = c("global"))

Arguments

clus

The extracted clusters.

d

The dataset.

type

Indicates whether a "global" or a "cluster"-wise evaluation should be used.

Value

The evaluation of the clustering.

See Also

intern, intern.interclass, intern.intraclass

Examples

require (datasets)
data (iris)
km = KMEANS (iris [, -5], k = 3)
intern.dunn (km$clus, iris [, -5])