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intern.dunn

Clustering evaluation through Dunn's index

Evaluation a clustering algorithm according to Dunn's index.

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

`clus`	The extracted clusters.
`d`	The dataset.
`type`	Indicates whether a "global" or a "cluster"-wise evaluation should be used.

The evaluation of the clustering.

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

Data Mining and R Programming for Beginners

v0.9.5

GPL-3

Authors

Alexandre Blansché [aut, cre]

Initial release