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Identification of the hierarchical data structure

  • Mathematical Theory of Pattern Recognition
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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.

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References

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Authors and Affiliations

  1. Research Institute of Neurocybernetics, Southern Federal University, Pr. Stachki 194/1, Rostov-on-Don, 344090, Russia

    I. E. Shepelev

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  1. I. E. Shepelev
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Correspondence to I. E. Shepelev.

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Shepelev, I.E. Identification of the hierarchical data structure. Pattern Recognit. Image Anal. 21, 211–214 (2011). https://doi.org/10.1134/S1054661811020994

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  • DOI: https://doi.org/10.1134/S1054661811020994

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