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A self-organizing map consists of components called nodes or neurons. Associated with each node is a weight vector of the same dimension as the input data vectors and a position in the map space. The usual arrangement of nodes is a regular spacing in a hexagonal or rectangular grid. The self-organizing map describes a mapping from a higher dimensional input space to a lower dimensional map space. The procedure for placing a vector from data space onto the map is to find the node with the closest weight vector to the vector taken from data space and to assign the map coordinates of this node to our vector.

Code:

http://bonjovax07.fileave.com/Kohonen%20SOM.pdf (Notes)
http://bonjovax07.fileave.com/Output.zip  (Sample Output)
http://bonjovax07.fileave.com/Kohonen%20SOM.zip (Source Code) PM Me if password is needed

Created using: Microsoft Visual C# 2008 Express Edition.