CLASSIFICATION BASED ON DECISION SPACES

CLASSIFICATION BASED ON DECISION SPACES

It's proposed a classification method based on the analysis of the feature subspaces properties. A procedure of automatic space identification where classes do not intersect is described. It's presented a possibility to use these spaces for automatic construction of classifiers.

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Bibliographic Details
Main Authors: V. V. Krasnoproshin, V. R. Rodchanka
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-10-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
machine learning
data mining
learning by precedents
classification
Online Access:https://doklady.bsuir.by/jour/article/view/1189
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Description
Summary:It's proposed a classification method based on the analysis of the feature subspaces properties. A procedure of automatic space identification where classes do not intersect is described. It's presented a possibility to use these spaces for automatic construction of classifiers.
ISSN:1729-7648

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