map.kohonen {kohonen}R Documentation

Map data to a supervised or unsupervised SOM

Description

Map a data matrix onto a trained SOM.

Usage

map.kohonen(x, newdata, ...)

Arguments

x A trained supervised or unsupervised SOM obtained from functions som, xyf, or bdk.
newdata Data matrix, with rows corresponding to objects.
... Currently ignored.

Value

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.

Author(s)

Ron Wehrens

See Also

predict.kohonen

Examples

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")))

[Package kohonen version 1.1.0 Index]