Performs Bayesian Consensus Clustering.
Usage
bcc_cluster(
data_list,
k,
n_iter = 1000,
n_burnin = 500,
alpha = 1,
verbose = FALSE
)
Arguments
- data_list
List of data matrices (features x samples).
- k
Number of clusters.
- n_iter
Number of MCMC iterations (default: 1000).
- n_burnin
Number of burn-in iterations (default: 500).
- alpha
Dirichlet prior concentration (default: 1).
- verbose
Print progress.
Value
List with cluster assignments and consensus matrix.