SNF Scheme: Individual

The "vanilla" scheme - does distance matrix conversions of each input dataframe in a list and

Usage

individual(
  data_list,
  cont_dist_fn,
  disc_dist_fn,
  ord_dist_fn,
  cat_dist_fn,
  mix_dist_fn,
  weights_row,
  k,
  alpha,
  t
)

Arguments

data_list

A nested list of input data from generate_data_list().

cont_dist_fn

distance metric function for continuous data

disc_dist_fn

distance metric function for discrete data

ord_dist_fn

distance metric function for ordinal data

cat_dist_fn

distance metric function for categorical data

mix_dist_fn

distance metric function for mixed data

weights_row

dataframe row containing feature weights

k

k hyperparameter

alpha

alpha/eta/sigma hyperparameter

t

SNF number of iterations hyperparameter

Value

fused_network The final fused network for clustering