Package index • clustOpt

Core Functions

Main clustering optimization functions

clust_opt(): clust_opt
leverage_sketch(): leverage_sketch

Utility Functions

Helper functions for data processing and validation

check_size(): check_size
get_valid_samples(): get_valid_samples
convert_seurat_to_bpcells(): convert_seurat_to_bpcells
adjusted_rand_index(): Calculate Adjusted Rand Index

Analysis Functions

Functions for preparing and analyzing data

prep_train(): prep_train
prep_test(): prep_test
train_random_forest(): train_random_forest
calculate_silhouette_score(): calculate_silhouette_score
calculate_kl_divergence(): calculate_kl_divergence
calculate_hellinger_distance(): calculate_hellinger_distance
calculate_mse_score(): calculate_mse_score
calculate_modularity(): calculate_modularity
project_pca(): project_pca

Visualization

Functions for plotting and summarizing results

create_sil_plots(): create_sil_plots
sil_summary(): sil_summary
summarize_cv_metrics(): summarize_cv_metrics
suggest_resolution(): suggest_resolution
plot_rank_metrics(): plot_rank_metrics
plot_mean_rank(): plot_mean_rank

Internal Functions

Internal helper functions

split_pca_dimensions(): split_pca_dimensions