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
generate_data_list().- 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.