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Journal of Automation and Information Sciences

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

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

Volume 50, Edição 3, 2018, pp. 38-50
DOI: 10.1615/JAutomatInfScien.v50.i3.30
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RESUMO

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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