Main IntNMF algorithm using non-negative alternating least squares.
Usage
intnmf_cluster(
dat,
k,
maxiter = 200,
st_count = 20,
n_ini = 30,
ini_nndsvd = TRUE,
seed = TRUE,
wt = NULL
)Arguments
- dat
List of data matrices (samples x features).
- k
Number of clusters.
- maxiter
Maximum iterations (default: 200).
- st_count
Stability count for convergence (default: 20).
- n_ini
Number of initializations (default: 30).
- ini_nndsvd
Use NNDSVD initialization (default: TRUE).
- seed
Use random seed (default: TRUE).
- wt
Weights for each data set.