title: Understanding AForge SOM implementation
body: <p>Hello neural enthusiasts‎ out there,
  i am a little bit confused about the SOM Learning Algorithm in AForge.
  I figured out that the implementation assumes the most common case, a 2 dimensial SOM.</p>
  
  <p>When i take a look at other SOM Graphics in the web, it figures out, that the position of the neuron changes over time. Similar neurons are put together.</p>
  
  <p>I took a look at the source code and found out that the position of the neurons in the map is some kind of fixed. It is:</p>
  
  <pre><code>int wx = neuronIndex % width;
  int wy = neuronIndex / width;
  </code></pre>
  
  <p>Is this just another Type of SOM with fixed possitions, or am i missinterprating something?
  I also thought that mainly you want to get an informational graphic out of a SOM,
  but there are no public available methods to retrieve the position of a Neuron.</p>