hNMF: Hierarchical non-negative matrix factorization.

In hNMF: Hierarchical Non-Negative Matrix Factorization

Description

Hierarchical non-negative matrix factorization.

Usage

hNMF(nmfInput, nmfMethod = "HALSacc")

Arguments

nmfInput	List with NMF input attributes
nmfMethod	String referring to the NMF algorithm to be used.

Value

Resulting NMF model (in accordance with NMF package definition)

Author(s)

Nicolas Sauwen

Examples

# create nmfInput object
X <- matrix(runif(10*20), 10,20)
bgImageTensor <- array(0,dim=dim(X))
selectVect <- array(1,dim=dim(X))
nmfInput <- NULL
nmfInput$numRows <- nrow(X)
nmfInput$numCols <- ncol(X)
nmfInput$numSlices <- 1
nmfInput$bgImageTensor <- bgImageTensor
nmfInput$selectVect <- selectVect

# run NMF with default algorithm, 5 runs with random initialization
NMFresult1 <- oneLevelNMF(X, rank=2, nruns=5)

# run NMF with specified algorithm and with initialized sources
W0 <- initializeSPA(X,3)
NMFresult2 <- oneLevelNMF(X, rank=3, method="HALSacc", initData = W0)

hNMF documentation built on Jan. 8, 2021, 5:42 p.m.