Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier

<div>The border between the weight vectors (squares) can be interpreted as a Voronoi region (shaded area). Thus, the input patterns object (filled circles) belongs to a Voronoi region.</div>

Computational Intelligence and Neuroscience

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Figure 1

Figure 1: Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier 