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Self-organizing map clustering based on continuous multiresolution entropy

Author

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  • Torres, H.M.
  • Gurlekian, J.A.
  • Rufiner, H.L.
  • Torres, M.E.

Abstract

The detection of changes in the parameter values of a nonlinear dynamic system is a branch of study with multiple applications. In this paper, we explore a variant of an automatic detector and clustering of slight parameter variations in nonlinear dynamic systems proposed by Torres et al. [Automatic detection of slight changes in nonlinear dynamical systems using multiresolution entropy tools, Int. J. Bifurc. Chaos 11(4) (2001) 967–981]. The new method takes the advantages of the continuous multiresolution entropy to localize slight changes in the parameters, and uses self-organizing maps to quantify and cluster these changes. We discuss the performance of this method while applied to automatic segmentation of natural and synthetic diphthongs in the presence of additive noise. Our results show the potentiality of the proposed method.

Suggested Citation

  • Torres, H.M. & Gurlekian, J.A. & Rufiner, H.L. & Torres, M.E., 2006. "Self-organizing map clustering based on continuous multiresolution entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(1), pages 337-354.
    • Handle: RePEc:eee:phsmap:v:361:y:2006:i:1:p:337-354
    DOI: 10.1016/j.physa.2005.05.073
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    References listed on IDEAS

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    1. Torres, M.E. & Gamero, L.G., 2000. "Relative complexity changes in time series using information measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 286(3), pages 457-473.
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    Cited by:

    1. Sinescu, Cosmin & Drăgănescu, Gheorghe Eugen & Dodenciu, Dorin & Bereteu, Liviu & Negruţiu, Meda & Românu, Mihai, 2008. "Quantitative parameters which describe speech sound distortions due to inadequate dental mounting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(5), pages 1205-1217.
    2. L. Bereteu & G. Drăgănescu & D. Stănescu & C. Sinescu, 2011. "Quantitative measurement of speech sound distortions with the aid of minimum variance spectral estimation method for dentistry use," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 14(12), pages 1097-1104.

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