Hierarchical feature selection with multi-granularity clustering structure

DOI10.1016/j.ins.2021.04.046zbMath1527.68176OpenAlexW3154564794MaRDI QIDQ6064546

Hong Zhao, Wen-Yuan Yang, Shunxin Guo

Publication date: 9 November 2023

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

Full work available at URL: https://doi.org/10.1016/j.ins.2021.04.046

zbMATH Keywords

granular computingsemantic gaphierarchical feature selectionmulti-granularity clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

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

Cites Work

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• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
• A survey of hierarchical classification across different application domains
• Evaluation measures for hierarchical classification: a unified view and novel approaches
• An introduction to computing with fuzzy sets. Analysis, design, and applications
• Multiple Comparisons Among Means
• L 1/2 regularization

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