k_means-clustMixType.md
In tidyclust: A Common API to Clustering

modifies errors about suggested other models

Code
  k_means(num_clusters = 3) %>% set_engine("clustMixType") %>% fit(~., data = mtcars)
Condition
  Error in `fit()`:
  ! Engine `clustMixType` requires both numeric and categorical predictors.
  x Only numeric predictors where used.
  i Try using the `stats` engine with `mod %>% set_engine("stats")`.

Code
  k_means(num_clusters = 3) %>% set_engine("clustMixType") %>% fit(~., data = data.frame(
    letters, LETTERS))
Condition
  Error in `fit()`:
  ! Engine `clustMixType` requires both numeric and categorical predictors.
  x Only categorical predictors where used.
  i Try using the `klaR` engine with `mod %>% set_engine("klaR")`.