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
bdk.R
### Version 2.0: codeYs are no longer returned, but codes are a list
### with two elements: X and Y.
"bdk" <- function(data, Y, grid = somgrid(), rlen = 100,
alpha = c(0.05, 0.01),
radius = quantile(nhbrdist, 0.67) * c(1, -1),
xweight = 0.75, contin,
toroidal = FALSE, n.hood, keep.data = TRUE)
{
if (!is.numeric(data))
stop("Argument data should be numeric")
data <- as.matrix(data)
nd <- nrow(data)
nx <- ncol(data)
if (is.factor(Y)) {
YY <- classvec2classmat(Y)
} else {
if (is.vector(Y)) {
YY <- matrix(Y, ncol=1)
} else {
YY <- Y
}
}
ny <- ncol(YY)
contin <- any(abs(rowSums(YY) - 1) > 1e-8)
ng <- nrow(grid$pts)
xdists <- ydists <- rep(0, ng)
starters <- sample(1:nd, ng, replace = FALSE)
init <- data[starters, , drop = FALSE]
codes <- init
if (!contin) {
## rescale to .25 - .75 in order to make class transitions easier
codeYs <- 0.5 + 0.5*(YY[starters,] - 0.5)
} else {
codeYs <- YY[starters,]
}
if (missing(n.hood)) {
n.hood <- switch(grid$topo,
hexagonal = "circular",
rectangular = "square")
} else {
n.hood <- match.arg(n.hood, c("circular", "square"))
}
grid$n.hood <- n.hood
nhbrdist <- unit.distances(grid, toroidal)
if (length(radius) == 1)
radius <- sort(radius * c(1, -1), decreasing = TRUE)
changes <- rep(0, rlen*2)
if (contin) {
res <- .C("BDK_Eucl",
data = as.double(data),
Ys = as.double(YY),
codes = as.double(codes),
codeYs = as.double(codeYs),
nhbrdist = as.double(nhbrdist),
alpha = as.double(alpha),
radii = as.double(radius),
xweight = as.double(xweight),
changes = as.double(changes),
xdists = as.double(xdists),
ydists = as.double(ydists),
n = as.integer(nd),
px = as.integer(nx),
py = as.integer(ny),
ncodes = as.integer(ng),
rlen = as.integer(rlen),
PACKAGE = "kohonen")
} else {
res <- .C("BDK_Tani",
data = as.double(data),
Ys = as.double(YY),
codes = as.double(codes),
codeYs = as.double(codeYs),
nhbrdist = as.double(nhbrdist),
alpha = as.double(alpha),
radius = as.double(radius),
xweight = as.double(xweight),
changes = as.double(changes),
xdists = as.double(xdists),
ydists = as.double(ydists),
n = as.integer(nd),
px = as.integer(nx),
py = as.integer(ny),
ncodes = as.integer(ng),
rlen = as.integer(rlen),
PACKAGE = "kohonen")
}
changes <- matrix(res$changes, ncol=2)
codes <- list(X = matrix(res$codes, nrow(init), ncol(init)),
Y = matrix(res$codeYs, ng, ny))
colnames(codes$Y) <- colnames(YY)
if (keep.data) {
mapping <- map.kohonen(list(codes = codes), newdata = data, whatmap = 1)
structure(list(data = data, Y = Y, contin = contin,
grid = grid, codes = codes,
changes = changes, alpha = alpha,
radius = radius, toroidal = toroidal,
unit.classif = mapping$unit.classif,
distances = mapping$distances, method="bdk"),
class = "kohonen")
} else {
structure(list(contin = contin, grid = grid, codes = codes,
changes = changes, alpha = alpha,
radius = radius, toroidal = toroidal, method="bdk"),
class = "kohonen")
}
}