Missing observations recovery during objects classification
Автор: Alekseeva Venera, Dontsova Yuliya, Klyachkin Vladimir
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Статья в выпуске: 6-2 т.16, 2014 года.
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It is considered the problem of objects classification where part of initial information is lost and it is necessary to recover it. It is studied efficiency of different missing observations recovery methods. It is performed a comparative analysis of four non-numeric observations recovery methods efficiency at objects classification.
Recovery, observation, classification, object, modeling
Короткий адрес: https://sciup.org/148203541
IDR: 148203541
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