https://github.com/cran/kohonen
Tip revision: e2fda6d6b633b01879c8386cd373696fc9f6e075 authored by Ron Wehrens on 17 September 2008, 00:00:00 UTC
version 2.0.5
version 2.0.5
Tip revision: e2fda6d
som.R
"som" <- function (data, grid = somgrid(),
rlen = 100, alpha = c(0.05, 0.01),
radius = quantile(nhbrdist, 0.67) * c(1, -1),
init, toroidal = FALSE,
n.hood, keep.data = TRUE)
{
if (!is.numeric(data))
stop("Argument data should be numeric")
data <- as.matrix(data)
nd <- nrow(data)
ng <- nrow(grid$pts)
if (missing(init)) {
init <- data[sample(1:nd, ng, replace = FALSE), , drop = FALSE]
} else {
init <- as.matrix(init)
if (nrow(init) != ng |
ncol(init) != ncol(data) |
!is.numeric(init))
stop("incorrect init matrix supplied")
}
codes <- init
if (missing(n.hood)) {
n.hood <- switch(grid$topo,
hexagonal = "circular",
rectangular = "square")
} else {
n.hood <- match.arg(n.hood, c("circular", "square"))
}
grid$n.hood <- n.hood
nhbrdist <- unit.distances(grid, toroidal)
if (length(radius) == 1)
radius <- sort(radius * c(1, -1), decreasing = TRUE)
changes <- rep(0, rlen)
res <- .C("SOM_online",
data = as.double(data),
codes = as.double(codes),
nhbrdist = as.double(nhbrdist),
alpha = as.double(alpha),
radii = as.double(radius),
changes = as.double(changes),
n = as.integer(nrow(data)),
p = as.integer(ncol(data)),
ncodes = as.integer(nrow(init)),
rlen = as.integer(rlen),
PACKAGE = "kohonen")
changes <- matrix(res$changes, ncol=1)
codes <- res$codes
dim(codes) <- dim(init)
colnames(codes) <- colnames(init)
if (keep.data) {
mapping <- map.kohonen(list(codes = codes), newdata = data)
structure(list(data = data, grid = grid, codes = codes,
changes = changes, alpha = alpha,
radius = radius, toroidal = toroidal,
unit.classif = mapping$unit.classif,
distances = mapping$distances, method="som"),
class = "kohonen")
} else {
structure(list(grid = grid, codes = codes, changes = changes,
alpha = alpha, radius = radius,
toroidal = toroidal, method="som"),
class = "kohonen")
}
}