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Discriminant analysis of random processes
Volume 2, Issue 1 (1991), pp. 77–99
Algirdas-Mykolas Montvilas   Ryshard Norkowich   Edward Shpilewski  

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https://doi.org/10.3233/INF-1991-2105
Pub. online: 1 January 1991      Type: Research Article     

Published
1 January 1991

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.

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

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INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
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