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A self-organizing map (SOM) or self-organising feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the input space of the training samples, called a map. Self-organizing maps are different from other artificial neural networks as they apply competitive learning as opposed to error-correction learning (such as backpropagation with gradient descent), and in the sense that they use a neighborhood function to preserve the topological properties of the input space. Wiki

I search the net and found this great blog Dynamic Notions that have a short nice C# code for Kohonen Network.

The only problem was, the code is not utilize the multithreaded modernize CPU's. So I parallelize the code.