som.nn.som.experimental {som.nn} | R Documentation |
Work hourse for som training.
Description
Function is the kernel internal
for som training, implemented
in pure R.
Usage
som.nn.som.experimental(
data,
grid,
len = 100,
alpha = 0.05,
radius,
init,
toroidal = FALSE
)
Arguments
data |
matrix with training data. |
grid |
somgrid object |
len |
number of steps to be trained (steps - not epochs!). |
alpha |
learning rate c(first, last). |
radius |
radius c(first, last). |
init |
codes for initialisation. |
toroidal |
true if doughnut-shaped som. |
Value
S3 object of type \code{kohonen} with the trained som.
[Package som.nn version 1.4.4 Index]