fdm2id: SOM – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

SOM

Self-Organizing Maps clustering method

Run the SOM algorithm for clustering.

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

`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.

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

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

Data Mining and R Programming for Beginners

v0.9.5

GPL-3

Authors

Alexandre Blansché [aut, cre]

Initial release