Consider a 2D lattice consisting of 10x10 neuronas that is trained with an input consisting of 4 Gaussian clouds, C1, C2, C3 and C4, in an 8-dimensional input space. The centers are located at the points (0,0,0,...,0), (4,0,0,...,0), (4,4,0,...,0) and (0,4,0,...,0). Compute the map produced by the SOM algorithm, with each neuron in the map being labeled with the particular class most represented by the input points around it (Haykin, 1999).

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