The number of cluster which could be recommender according the method
the output of kselection function.
an array of number of clusters that could be recommended.
# Create a data set with two clusters
dat <- matrix(c(rnorm(100, 2, .1), rnorm(100, 3, .1),
rnorm(100, -2, .1), rnorm(100, -3, .1)), 200, 2)
# Get the optimal number of clustes
sol <- kselection(dat)
k <- num_clusters(sol)
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