snf_step {metasnf} | R Documentation |
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 |
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).
[Package metasnf version 2.1.2 Index]