SOM: Self-Organizing Maps clustering method

In fdm2id: Data Mining and R Programming for Beginners

Self-Organizing Maps clustering method

Description

Run the SOM algorithm for clustering.

Usage

SOM(
  d,
  xdim = floor(sqrt(nrow(d))),
  ydim = floor(sqrt(nrow(d))),
  rlen = 10000,
  post = c("none", "single", "ward"),
  k = NULL,
  ...
)

Arguments

d	The dataset (matrix or data.frame).
xdim, ydim	The dimensions of the grid.
rlen	The number of iterations.
post	The post-treatement method: "none" (None), "single" (Single link) or "ward" (Ward clustering).
k	The number of cluster (only used if post is different from "none").
...	Other parameters.

Value

The fitted Kohonen's map as an object of class som.

See Also

plot.som, som-class, som

Examples

require (datasets)
data (iris)
SOM (iris [, -5], xdim = 5, ydim = 5, post = "ward", k = 3)

fdm2id documentation built on July 9, 2023, 6:05 p.m.