void train_som | (net, dset, alpha, alpha_c, rad, rad_c, opt, cycles) |
NET | *net | The SOM to be trained |
DATASET | *dset | Dataset to be used for training |
double | alpha | Initial learning rate |
double | alpha_c | Learning rate in convergence phase |
double | rad | Initial neighbourhood width |
double | rad_c | Final neighbourhood width |
long | opt | A flag (see below) |
long | cycles | A parameter determining the number of cycles the SOM is trained |
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