Performs consensus clustering with parallel resampling.
Usage
parallel_consensus_cluster(
data,
max_k = 6,
n_reps = 1000,
n_workers = NULL,
prop_sample = 0.8,
cluster_method = "hclust",
verbose = TRUE
)Arguments
- data
Data matrix (features x samples).
- max_k
Maximum number of clusters (default: 6).
- n_reps
Number of resampling iterations (default: 1000).
- n_workers
Number of workers (default: auto).
- prop_sample
Proportion of samples to include (default: 0.8).
- cluster_method
Base clustering method (default: "hclust").
- verbose
Print progress (default: TRUE).