parallel_batch_snf {metasnf} | R Documentation |
Parallel processing form of batch_snf
Description
Parallel processing form of batch_snf
Usage
parallel_batch_snf(
data_list,
distance_metrics_list,
clust_algs_list,
settings_matrix,
weights_matrix,
similarity_matrix_dir,
return_similarity_matrices,
processes
)
Arguments
data_list |
A nested list of input data from |
distance_metrics_list |
An optional nested list containing which distance metric function should be used for the various feature types (continuous, discrete, ordinal, categorical, and mixed). See ?generate_distance_metrics_list for details on how to build this. |
clust_algs_list |
List of custom clustering algorithms to apply to the final fused network. See ?generate_clust_algs_list. |
settings_matrix |
matrix indicating parameters to iterate SNF through. |
weights_matrix |
A matrix containing feature weights to use during distance matrix calculation. See ?generate_weights_matrix for details on how to build this. |
similarity_matrix_dir |
If specified, this directory will be used to save all generated similarity matrices. |
return_similarity_matrices |
If TRUE, function will return a list where the first element is the solutions matrix and the second element is a list of similarity matrices for each row in the solutions_matrix. Default FALSE. |
processes |
Number of parallel processes used when executing SNF. |
Value
The same values as ?batch_snf().