| som {clustering} | R Documentation |
A supersom is an extension of self-organising maps (SOMs) to multiple data layers,
possibly with different numbers and different types of variables (though equal numbers
of objects). NAs are allowed. A weighted distance over all layers is calculated
to determine the winning units during training. Functions som and xyf are simply
wrappers for supersoms with one and two layers, respectively. Function nunits is
a utility function returning the number of units in the map.
som(x, grid,
alpha = [0.001],
epoch = 1000);