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| Product Name | SOM service |
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| Description | A self-organizing map (SOM), also called self-organizing feature map (SOFM),is a type of artificial neural network(ANN) that is trained using unsupervised learning method to generate a low-dimensional, discretized representation (a map) of the input space of the training samples. SOMs differ from other ANN methods as they make use of competitive learning as opposed to error-correction learning, and in the sense that they make use of a neighborhood function to preserve the topological properties of the input space. |
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| Order / More Info | SOM service from CREATIVE PROTEOMICS |
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| Product Specific References | n/a |
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