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)