| map.kohonen {kohonen} | R Documentation |
Map a data matrix onto a trained SOM.
map.kohonen(x, newdata, ...)
x |
A trained supervised or unsupervised SOM obtained from
functions som, xyf, or bdk. |
newdata |
Data matrix, with rows corresponding to objects. |
... |
Currently ignored. |
A list with elements
unit.classif |
a vector of units that are closest to the objects in the data matrix. |
dists |
distances (currently only Euclidean distances) of the objects to the units. |
Ron Wehrens
data(wines)
set.seed(7)
training <- sample(length(wine.classes), 120)
Xtraining <- scale(wines[training,])
somnet <- som(Xtraining, somgrid(5, 5, "hexagonal"))
mapping <- map(somnet,
scale(wines[-training,],
center=attr(Xtraining, "scaled:center"),
scale=attr(Xtraining, "scaled:scale")))