fit and plot K-Means, DBScan clustering algorithm on the dataset

explore_clustering(df, hyperparameter_dict = NULL)

Arguments

df	dataframe
hyperparameter_dict	dictionary of hyperparameters to be used, default is NULL, a default set of hyperparameters will be used

Value

a dictionary with each key = a clustering model name, value = list of plots generated by that model

Examples

library(palmerpenguins)
explore_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
#> $KMeans
#> $KMeans[[1]]
#> 
#> $KMeans[[2]]
#> 
#> $KMeans[[3]]
#> 
#> $KMeans[[4]]
#> 
#> $KMeans[[5]]
#> 
#> $KMeans[[6]]
#> 
#> $KMeans[[7]]
#> 
#> $KMeans[[8]]
#> 
#> $KMeans[[9]]
#> 
#> 
#> $DBSCAN
#> $DBSCAN[[1]]
#> 
#>