Optimal scale selection approach for classification based on generalized multi-scale formal context

The classification of multi-scale data is an important research topic in granular computing. Its research goal is to determine the most appropriate scale and achieve better classification performance. However, determining the optimal scale is often a difficult problem due to lacking better metrics a...

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Vydané v:	Applied soft computing Ročník 152; s. 111277
Hlavní autori:	Wang, Fei, Li, Jinhai, Yu, Chongchong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2024
Predmet:	Classification Generalized multi-scale formal context Multi-objective optimization methods Optimal scale selection criteria Generalized multi-scale formal context Multi-objective optimization methods Optimal scale selection criteria Classification
ISSN:	1568-4946
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