The Neural-Gas network for classifying analytical data

This article introduces the Neural-Gas network, a fast neural net-based method for clustering, and shows how it is applied to gas chromatographic patterns of Maillard reaction products. The advantages of Neural-Gas are compared to the K-means clustering method and one of the best-known neural methods for clustering, the Kohonen self-organising maps. Some novel combinations with visualization techniques are also presented.