fits and plots KMeans clusterings on numeric columns of the dataset

explore_KMeans_clustering(
  df,
  centers = seq(from = 2, to = 10),
  iter.max = 10,
  algorithm = c("Lloyd")
)

Arguments

df	data frame: the original dataset
centers	vector of number of clusters, optional, default to seq(from = 2, to = 10)
iter.max	integer: max number of iteration, optional, default to 10
algorithm	character: may be abbreviated, optional, default to "Lloyd". Note that "Lloyd" and "Forgy" are alternative names for one algorithm

Value

a list of plots

Examples

library(palmerpenguins)
explore_KMeans_clustering(penguins)
#> Warning: did not converge in 10 iterations
#> Warning: did not converge in 10 iterations
#> Warning: did not converge in 10 iterations
#> Warning: did not converge in 10 iterations
#> Warning: did not converge in 10 iterations
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