Assign a cluster to each observation of the entire dataset

Function to assign a cluster to each observation of the entire dataset by selecting the closest medoid

Usage

assign_cluster(
  data,
  metric,
  medoids,
  dist_matrix = NULL,
  type = "hard",
  m = 2,
  data_medoids = NULL,
  return_distMatrix = FALSE,
  return_data_medoids = FALSE
)

Arguments

data: Entire data.frame
metric: A character specifying a predefined dissimilarity metric (like "euclidean" or "manhattan") or a self-defined dissimilarity function. Defaults to "euclidean". Will be passed as argument method to dist, so check ?proxy::dist for full details.
medoids: Medoids of the obtained clustering solution for the data sample
dist_matrix: Optional dissimilarity matrix (defaults to NULL)
type: One of c("hard","fuzzy"), specifying the type of clustering to be performed.
m: Fuzziness exponent (only for type = "fuzzy"), which has to be a numeric of minimum 1. Defaults to 2.
data_medoids: data.frame with variable information of medoids
return_distMatrix: Indicator if the distances to the cluster medoids should be returned. Defaults to FALSE.
return_data_medoids: Indicator if the medoid data should be returned. Defaults to FALSE.

Value

List with information on cluster results (medoid, cluster assignment, average distance to the closest medoid (weighted average distance to the closest medoid in case of fuzzy clustering))