snf_step: Helper function for using the correct SNF scheme

In metasnf: Meta Clustering with Similarity Network Fusion

Helper function for using the correct SNF scheme

Description

Helper function for using the correct SNF scheme

Usage

snf_step(
  dl,
  scheme,
  k = 20,
  alpha = 0.5,
  t = 20,
  cnt_dist_fn,
  dsc_dist_fn,
  ord_dist_fn,
  cat_dist_fn,
  mix_dist_fn,
  weights_row
)

Arguments

dl	A nested list of input data from data_list().
scheme	Which SNF system to use to achieve the final fused network.
k	k hyperparameter.
alpha	alpha/eta/sigma hyperparameter.
t	SNF number of iterations hyperparameter.
cnt_dist_fn	distance metric function for continuous data.
dsc_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	data frame row containing feature weights.

Value

A fused similarity network (matrix).

metasnf documentation built on April 3, 2025, 5:40 p.m.