[R] selecting optimal cluster validation score

email email8889 at gmail.com
Sun Nov 17 00:12:58 CET 2013


I have calculated the Silhouette score and Dunn score after
hierarchical clustering for 3 clusters:

#Distance measure
d <- dist(USArrests, method = "euclidean")
#Hierarchical clustering
hc <- hclust(dist(USArrests), "ave")
#calculating silhouette value for 3 clusters
sil<- silhouette(cutree(hc, k=3), d)
#calculating Dunn index for 3 clusters
clus <- cutree(hc, 3)
dun <- dunn(d, clus)

How can the best of the two score be obtained? Is there any package to
automatically obtain the optimal (or best) of the Silhouette and the
Dunn scores ?


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