step_dbscan_fpc: step_dbscan: a recipe step for clustering by dbscan....
In TatsumotoH/addstepr: add new step functions for recipes package (tidymodels)

step_dbscan: a recipe step for clustering by dbscan. fpcパッケージのdbscan関数を用いたstep関数

step_dbscan_fpc(
  recipe,
  ...,
  role = "predictor",
  trained = FALSE,
  skip = FALSE,
  eps = NULL,
  minPts = NULL,
  retain = FALSE,
  id = rand_id("dbscan_fpc")
)

`role`	For model terms created by this step, what analysis role should they be assigned?
`trained`	A logical to indicate if the quantities for preprocessing have been estimated.
`skip`	A logical. Should the step be skipped when the recipe is baked by [recipes::bake.recipe()]?
`eps`	The parameter eps defines radius of neighborhood around a point x.
`minPts`	The parameter MinPts is the minimum number of neighbors within “eps” radius.
`retain`	Alogical to specify whether the original predictors should be retained along with the new embedding variables.
`id`	A character string that is unique to this step to identify it.