builtin_dist_funs |
All built-in feature dissimilarity functions |
compute_fs_results |
Compute preliminary feature selection results for RAFS |
cor_dist |
Feature dissimilarity based on Pearson's Correlation (cor) |
create_seeded_folds |
Create seeded folds |
default_dist_funs |
Default feature dissimilarity functions |
default_fs_fun |
Default (example) feature selection function for RAFS |
default_hclust_methods |
Default hclust methods |
get_rafs_all_reps_from_popcnts |
Get all representatives from their popcnts |
get_rafs_occurrence_matrix |
Get co-occurrence matrix from RAFS results |
get_rafs_reps_popcnts |
Get representatives' popularity counts (popcnts) from RAFS results |
get_rafs_rep_tuples_matrix |
Get representatives' tuples' co-representation matrix from RAFS results |
get_rafs_rep_tuples_popcnts |
Get representatives' tuples' popularity counts (popcnts) from RAFS results |
get_rafs_tops_popcnts |
Get top popularity counts (popcnts) from FS results |
get_rafs_top_reps_from_popcnts |
Get top (i.e., most common) representatives from their popcnts |
get_rafs_top_rep_tuples_from_popcnts |
Get top (i.e., most common) representatives's tuples from their popcnts |
get_run_id |
Generate CV run identifiers |
run_rafs |
Robust Aggregative Feature Selection (RAFS) |
run_rafs_with_fs_results |
Robust Aggregative Feature Selection (RAFS) from feature selection results |
stig_dist |
Symmetric Target Information Gain (STIG) computed directly |
stig_from_ig_dist |
Symmetric Target Information Gain (STIG) computed from single Information Gains (IGs) |
stig_stable_dist |
Symmetric Target Information Gain (STIG) computed directly but with pre-computed 1D conditional entropy (aka stable) |
vi_dist |
Variation of Information (VI) |