kohonen (version 1.1.1)

somKmeans: Refinement of codebook vectors by kmeans

Description

Do kmeans of the codebook vectors, which is equivalent to the SOM algorithm when the size of the neighbourhood is smaller than 1. Not meant to be called directly.

Usage

somKmeans(codes, data, max.iter = 20, verbose = FALSE)

Arguments

codes

codebook matrix for the X space: one row per unit.

data

training data, usually.

max.iter

default is 20, but convergence usually is much faster. If more iterations are needed, a warning is printed.

verbose

print more info to the screen.

Value

• Returns a list with components
• codes
  new codebook matrix.
• classif
  classification vector.
• niter
  number of iterations needed for kmeans.