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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Bibliographic Details

Published in:	Applied soft computing Vol. 152; p. 111277
Main Authors:	Wang, Fei, Li, Jinhai, Yu, Chongchong
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.02.2024
Subjects:	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
Online Access:	Get full text
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