IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v361y2006i1p337-354.html
   My bibliography  Save this article

Self-organizing map clustering based on continuous multiresolution entropy

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437105004966
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2005.05.073?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dingle, Kamaludin & Kamal, Rafiq & Hamzi, Boumediene, 2023. "A note on a priori forecasting and simplicity bias in time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    2. Lovallo, Michele & Lapenna, Vincenzo & Telesca, Luciano, 2005. "Transition matrix analysis of earthquake magnitude sequences," Chaos, Solitons & Fractals, Elsevier, vol. 24(1), pages 33-43.
    3. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    4. Sivadasan, S. & Efstathiou, J. & Calinescu, A. & Huatuco, L. Huaccho, 2006. "Advances on measuring the operational complexity of supplier-customer systems," European Journal of Operational Research, Elsevier, vol. 171(1), pages 208-226, May.
    5. Zozor, S. & Ravier, P. & Buttelli, O., 2005. "On Lempel–Ziv complexity for multidimensional data analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 345(1), pages 285-302.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:361:y:2006:i:1:p:337-354. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.