myNMF | R Documentation |
The input data is assumed to be a matrix. When algorithms of MWCAParams and CoupledMWCAParams are specified as "myNMF", This function is called in MWCA and CoupledMWCA.
myNMF(Xn, k, L1=1e-10, L2=1e-10)
Xn |
The input matrix which has N-rows and M-columns. |
k |
The rank parameter (k <= min(N,M)) |
L1 |
The regularization parameter to control the sparseness (Default: 1e-10) |
L2 |
The regularization parameter to control the overfit (Default: 1e-10) |
The output matrix which has N-rows and k-columns.
Koki Tsuyuzaki
Andrzej CICHOCK, et. al., (2009). Nonnegative Matrix and Tensor Factorizations.
if(interactive()){
# Test data
matdata <- matrix(runif(10*20), nrow=10, ncol=20)
# Perform NMF
myNMF(matdata, k=3, L1=1e-1, L2=1e-2)
}
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