translate.md
In tidyclust: A Common API to Clustering

k_means translation for stats engine

Code
  translate_tidyclust(spec)
Output
  K Means Cluster Specification (partition)

  Main Arguments:
    num_clusters = 3

  Computational engine: stats

  Model fit template:
  tidyclust::.k_means_fit_stats(x = missing_arg(), centers = missing_arg(), 
      centers = 3)

k_means translation for ClusterR engine

Code
  translate_tidyclust(spec)
Output
  K Means Cluster Specification (partition)

  Main Arguments:
    num_clusters = 3

  Computational engine: ClusterR

  Model fit template:
  tidyclust::.k_means_fit_ClusterR(data = missing_arg(), clusters = missing_arg(), 
      clusters = 3)

k_means translation for klaR engine

Code
  translate_tidyclust(spec)
Output
  K Means Cluster Specification (partition)

  Main Arguments:
    num_clusters = 3

  Computational engine: klaR

  Model fit template:
  tidyclust::.k_means_fit_klaR(data = missing_arg(), modes = missing_arg(), 
      modes = 3)

k_means translation for clustMixType engine

Code
  translate_tidyclust(spec)
Output
  K Means Cluster Specification (partition)

  Main Arguments:
    num_clusters = 3

  Computational engine: clustMixType

  Model fit template:
  tidyclust::.k_means_fit_clustMixType(x = missing_arg(), k = missing_arg(), 
      keep.data = missing_arg(), k = 3, keep.data = TRUE, verbose = FALSE)

hier_clust translation for stats engine

Code
  translate_tidyclust(spec)
Output
  Hierarchical Clustering Specification (partition)

  Main Arguments:
    num_clusters = 3
    linkage_method = complete

  Computational engine: stats

  Model fit template:
  tidyclust::.hier_clust_fit_stats(data = missing_arg(), num_clusters = 3, 
      linkage_method = "complete")

hier_clust translation with linkage_method

Code
  translate_tidyclust(spec)
Output
  Hierarchical Clustering Specification (partition)

  Main Arguments:
    num_clusters = 3
    linkage_method = ward.D

  Computational engine: stats

  Model fit template:
  tidyclust::.hier_clust_fit_stats(data = missing_arg(), num_clusters = 3, 
      linkage_method = "ward.D")