Identification of the hierarchical data structure

Abstract

The task of identifying a hierarchical data structure is considered for the example of the problem of identifying personalizing reference characteristics. A model of a neural network based on radial basis functions is proposed as a possible solution of the task. The identification of the hierarchical dependence is practically aimed to create a classifier using a restricted set of input variables compared to the flat structured classifier. A multilayer perceptron is used as local classifiers. We also use self-organizing maps to visually show data structuredness.