learn_nmf: Estimate factorization rank from JACUSA2 output

In dieterich-lab/JACUSA2helper: Post-processing for JACUSA2 output

Estimate factorization rank from JACUSA2 output

Description

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.

dieterich-lab/JACUSA2helper documentation built on March 1, 2023, 12:09 a.m.