Cluster the OSIVQ data using consensus between various algorithms

Usage

cluster_osivq(
  df,
  algorithms = c("gmm", "pam", "cmeans"),
  cons.funs = c("kmodes", "majority", "CSPA"),
  seed = 667,
  progress = FALSE,
  verbose = FALSE
)

Arguments

df: A dataframe with the OSIVQ scores, typically obtained from get_clean_data().
algorithms: A character vector of clustering algorithms to use. Default is c("gmm", "pam", "cmeans", "diana"). See ?diceR::dice() for more details.
cons.funs: A character vector of consensus functions to use. Default is c("CSPA"). See ?diceR::dice() for more details.
seed: An integer seed for reproducibility. Default is 667.
progress: Logical value indicating whether to show a progress bar.
verbose: Logical value indicating whether to print detailed messages during the clustering process.

Value

A list with the clustering results from diceR::dice().