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Convergence of a Neural Network Classifier
Kohonen's Learning Vector Quantization (LVQ) is a neural network architecture that performs nonparametric classification. It classifies observations by comparing them to k templates called Voronoi vectors. The locations ...
Nonparametric Classification Using Learning Vector Quantization
In this thesis we study several properties of Learning Vector Quantization. LVQ is a nonparametric detection scheme proposed in the neural network community by Kohonen. We examine it in detail, both theoretically and ...