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 ( |
xdim, ydim |
The dimensions of the grid. |
rlen |
The number of iterations. |
post |
The post-treatement method: |
k |
The number of cluster (only used if |
... |
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)
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