TORRES Humberto Maximiliano
Self-organizing maps clustering based on continuous multiresolution entropy
H.M. TORRES; J.A. GURLEKIAN; H.L. RUFINER; M.E. TORRES
Physica A: Statistical Mechanics and its Applications
Lugar: North-Holland; Año: 2006 vol. 361 p. 337 - 337
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.