Discriminant analysis of random processes

Article type: Research Article

Authors: Montvilas, Algirdas-Mykolas | Norkowich, Ryshard | Shpilewski, Edward

Affiliations: Institute of Mathematics and Informatics, Lithuanian Academy of Sciences, 232600 Vilnius, Akademijos St.4, Lithuania

Abstract: The problem multialternative recognition of non-stationary processes on the basis of dynamic models is investigated in the paper. The algorithms of pointwise and group classifications are compared. Clustering algorithms based on nonlinear mapping of the segments of random processes onto the plain are used to construct the classifiers.

Keywords: recognition of non-stationary sequences, current and group classification, clustering

DOI: 10.3233/INF-1991-2105

Journal: Informatica, vol. 2, no. 1, pp. 77-99, 1991