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
generate_data_list().- 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.