SOM(data, grid = somgrid(), rlen = 10000, alpha, radii, init)
alpha and
radii.
alpha.
Default is to decline linearly from 0.05 to 0 over
rlen updates.
alpha. Default is to decline linearly from 4 to 1
over
rlen updates.
data.
"SOM" with components
"somgrid".
alpha and
radii can also be lists, in which case each component is
used in turn, allowing two- or more phase training.
Kohonen, T. (1995)
Self-Organizing Maps.
Springer-Verlag
Kohonen, T., Hynninen, J., Kangas, J. and Laaksonen, J. (1996)
SOM PAK: The self-organizing map program package.
Laboratory of Computer and Information Science, Helsinki University
of Technology, Technical Report A31
lcrabs <- log(crabs[, 4:8])
crabs.grp <- factor(c("B", "b", "O", "o")[rep(1:4, rep(50,4))])
gr <- somgrid(topo = "hexagonal")
crabs.som <- SOM(lcrabs, gr)
plot(crabs.som)
## 2-phase training
crabs.som2 <- SOM(lcrabs, gr,
alpha = list(seq(0.05, 0, len = 1e4), seq(0.02, 0, len = 1e5)),
radii = list(seq(8, 1, len = 1e4), seq(4, 1, len = 1e5)))
plot(crabs.som2)