som.nn.som.gaussian: Gaussian kernel for som training.

In som.nn: Topological k-NN Classifier Based on Self-Organising Maps

Description

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

Usage

som.nn.som.gaussian(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.
radius	radius.
init	codes for initialisation.
toroidal	true if doughnut-shaped som.

Value

S3 object of type kohonen with the trained som.

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