Robust hierarchical feature selection driven by data and knowledge

DOI10.1016/J.INS.2020.11.003zbMath1484.62081OpenAlexW3101696129MaRDI QIDQ2126255

Hong Zhao, Yucan Zhou, Xin Xin Liu

Publication date: 14 April 2022

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.11.003

zbMATH Keywords

feature selectionhierarchical classificationmulti-granularitydata-drivenknowledge-driven

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

Hierarchical classification of data with long-tailed distributions via global and local granulation

Uses Software

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• PASCAL VOC

Cites Work

• A survey of hierarchical classification across different application domains
• Evaluation measures for hierarchical classification: a unified view and novel approaches
• A novel approach for learning label correlation with application to feature selection of multi-label data
• Hierarchical Learning of Tree Classifiers for Large-Scale Plant Species Identification
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