compute tSNE embedding for MRF similarity matrix
Usage
mrf3_tsne(
mod,
dims = 2,
max_iter = 1000,
learning_rate = 200,
verbose = FALSE,
tol = 1e-05,
patience = 10,
seed = NULL
)Arguments
- mod
mrf3 model
- dims
Number of dims
- max_iter
integer; Number of iterations (default: 1000)
- learning_rate
numeric; Learning rate (default: 200.0)
- verbose
Logical; whether to print optimization progress.
- tol
Convergence tolerance.
- patience
Early-stopping patience measured in iterations.
- seed
Optional integer seed used only to initialize the embedding.