Interactive pattern classification by means of artificial neural networks

In this paper, we deal with the visualization of multivariate data by nonlinear projection methods performed by several multilayer neural networks. As the visualization is the first step in interactive pattern classification, we provide the operator with a set of tools to manipulate the data. The results have been applied to a real biometrical example of the Guadeloupe honeybees races.