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")))