Title :
Adaptive clustering in hyperbolic wavelet domain
Author :
Galina, Shcherbakova ; Victor, Krylov
Author_Institution :
IT Dept., Odessa Nat. Polytech. Univ., Odessa, Ukraine
Abstract :
The noise stability multi starting sub gradient iterative clustering method was designed. The experimental investigation for this clustering method noise immunity increasing and error decreasing was carried out.
Keywords :
gradient methods; hyperbolic equations; iterative methods; numerical stability; pattern clustering; wavelet transforms; adaptive clustering method; experimental investigation; hyperbolic wavelet domain; noise immunity; noise stability multistarting method; subgradient iterative clustering method; Clustering algorithms; Clustering methods; Immune system; Inspection; Iterative methods; Noise measurement; Optimization methods; Production; Stability; Wavelet domain; Clustering; multi-starting; noise stability; sub gradient; wavelet;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
Conference_Location :
Rende
Print_ISBN :
978-1-4244-4901-9
Electronic_ISBN :
978-1-4244-4882-1
DOI :
10.1109/IDAACS.2009.5342953
