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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v50.i3.30
pages 38-50

Problems of Classification by Pseudoinversion Means: Feature Space Transformation, Influence of Initial Information Perturbations

Fedor G. Garashchenko
Kyiv National Taras Shevchenko University, Kyiv, Ukraine
Grigoriy I. Kudin
Kiev National Taras Shevchenko University, Ukraine

SINOPSIS

For the problem of information hyperplane classification by means of matrix pseudoinversion there are offered the technologies for space optimization of feature vectors. The estimates of perturbation influence of feature space vectors components on conditions of classes separation and the separation strip width are obtained. The conducted research is based on results of the perturbation theory of pseudoinverse and projective matrices.


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