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Updated: Jun 29, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

基于自适应机制的灰狼优化器,用于高维分类中的特征选择

Genliang Li1,2,3, Yaxin Cui1, Jingyu Su1,2,3

  • 1New Engineering Industry College, Putian University, Putian, Fujian, China.

PloS one
|May 16, 2025
PubMed
概括

基于自适应机制的灰狼优化器 (AMGWO) 改善了对高维数据的特征选择. 这种方法通过防止过早的融合和优化搜索过程来提高分类准确性.

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