R/k_means_clustMixType.R

In tidyclust: A Common API to Clustering

#' K-means via clustMixType
#'
#' [k_means()] creates K-prototypes model. A K-prototypes is the middle ground
#' between a K-means and K-modes model, in the sense that it can be used with
#' data that contains both numeric and categorical predictors.
#'
#' Both numeric and categorical predictors are requires for this engine.
#'
#' @includeRmd man/rmd/k_means_clustMixType.md details
#'
#' @name details_k_means_clustMixType
#' @keywords internal
NULL

# See inst/README-DOCS.md for a description of how these files are processed

# @export - onLoad
axe_data.kproto <- function(x, verbose = FALSE, ...) {
  attr(x, "training_data") <- NULL
  add_butcher_class(x)
}

# @export - onLoad
axe_fitted.kproto <- function(x, verbose = FALSE, ...) {
  x$cluster <- integer(0)
  add_butcher_class(x)
}