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The main function nmfbin()
operates on binary matrices
like so:
library(nmfbin)
# Create a binary matrix for demonstration
X <- matrix(sample(c(0, 1), 100, replace = TRUE), ncol = 10)
# Perform Logistic NMF
results <- nmfbin(X, k = 3, optimizer = "mur", init = "nndsvd", loss_fun = "logloss", max_iter = 500)
We can retrieve the final loss value before convergence criteria were reached:
We can also easily plot the optimization process at every iteration:
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.