Given a data matrix created by `create_data()` this function performs non-negative matrix factorization.
Usage
learn_nmf(x, nmf_args = NULL, nmf_seed = "nndsvd")
Arguments
- x
target data to fit, i.e. a matrix-like object - use `create_features()`
- nmf_args
argument to be forward to `NMF::nmf`. @seealso NMF::nmf
- nmf_seed
Default: "nndsvd". @seealso NMF::nmfSeed
Value
Depends on `evaluate`: FALSE @seealso NMF::nmf, TRUE a list of objects.