som.nn.som.internal: Work hourse for som training.

Description Usage Arguments Value

View source: R/som.nn.som.internal.R

Description

Function is the kernel internal for som training, implemented in pure R.

Usage

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som.nn.som.internal(data, grid, len = 100, alpha = 0.05, radius, init,
  toroidal = FALSE)

Arguments

data

matrix with training data.

grid

somgrid object

alpha

learning rate c(first, last).

radius

radius c(first, last).

init

codes for initialisation.

toroidal

true if doughnut-shaped som.

rlen

number of steps to be trained (steps - not epochs!).

Value

S3 object of type kohonen with the trained som.


som.nn documentation built on May 2, 2019, 8:26 a.m.