ering phase
options(1) = 1;
options(14) = 50;
options(18) = 0.9;  % Initial learning rate
options(16) = 0.05; % Final learning rate
options(17) = 8;    % Initial neighbourhood size
options(15) = 1;    % Final neighbourhood size
net2 = somtrain(net, options, x);

<p>% Convergence phase
options(14) = 400;
options(18) = 0.05;
options(16) = 0.01;
options(17) = 0;
options(15) = 0;
net3 = somtrain(net2, options, x);
</PRE>


<p><h2>
See Also
</h2>
<CODE><a href="kmeans.htm">kmeans</a></CODE>, <CODE><a href="som.h