intern.dunn: Clustering evaluation through Dunn's index

In fdm2id: Data Mining and R Programming for Beginners

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])

fdm2id documentation built on July 9, 2023, 6:05 p.m.