two_step_merge {metasnf} | R Documentation |
Two step SNF
Description
Individual dataframes into individual similarity matrices into one fused network per domain into one final fused network.
Usage
two_step_merge(
data_list,
k = 20,
alpha = 0.5,
t = 20,
cont_dist_fn,
disc_dist_fn,
ord_dist_fn,
cat_dist_fn,
mix_dist_fn,
weights_row
)
Arguments
data_list |
A nested list of input data from |
k |
k hyperparameter. |
alpha |
alpha/eta/sigma hyperparameter. |
t |
SNF number of iterations hyperparameter. |
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. |
Value
fused_network The final fused network (class "matrix", "array") generated by SNF.
[Package metasnf version 1.1.2 Index]