Run SNF clustering pipeline on a list of subsampled data lists.

Usage

batch_snf_subsamples(
  data_list_subsamples,
  settings_matrix,
  processes = 1,
  return_similarity_matrices = FALSE,
  clust_algs_list = NULL,
  suppress_clustering = FALSE,
  distance_metrics_list = NULL,
  weights_matrix = NULL,
  automatic_standard_normalize = FALSE,
  return_solutions_matrices = FALSE,
  verbose = FALSE
)

Arguments

data_list_subsamples: A list of subsampled data lists. This object is generated by the function batch_snf_subsamples().
settings_matrix: A settings matrix defining the parameters of the SNF pipelines to be applied to the subsampled data lists.
processes: See ?batch_snf.
return_similarity_matrices: See ?batch_snf.
clust_algs_list: See ?batch_snf.
suppress_clustering: See ?batch_snf.
distance_metrics_list: See ?batch_snf.
weights_matrix: See ?batch_snf.
automatic_standard_normalize: See ?batch_snf.
return_solutions_matrices: If TRUE, includes the solutions matrices corresponding to each subsample in the output.
verbose: If TRUE, print time remaining estimates to console.

Value

By default, returns a one-element list: cluster_solutions, which is itself a list of cluster solution data frames corresponding to each of the provided data list subsamples. Setting the parameters return_similarity_matrices and return_solutions_matrices to TRUE will turn the result of the function to a three-element list containing the corresponding solutions matrices and final fused similarity matrices of those cluster solutions, should you require these objects for your own stability calculations.